@inproceedings{yang2025localized,title={Improving Gaussian Splatting with Localized Points Management},author={Yang, Haosen and Zhang, Chenhao and Wang, Wenqing and Volino, Marco and Hilton, Adrian and Zhang, Li and Zhu, Xiatian},year={2025},booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},}
CVPR
TensoFlow: Tensorial Flow-based Sampler for Inverse Rendering
Chun Gu, Xiaofei Wei, Li Zhang, and Xiatian Zhu
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2025
@inproceedings{gu2025tensoflow,title={TensoFlow: Tensorial Flow-based Sampler for Inverse Rendering},author={Gu, Chun and Wei, Xiaofei and Zhang, Li and Zhu, Xiatian},year={2025},booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},}
CVPR
Domain Adaptive Diabetic Retinopathy Grading with Model Absence and Flowing Data
Wenxin Su, Song Tang, Xiaofeng Liu, Xiaojing Yi, Mao Ye, Chunxiao Zu, Jiahao Li, and Xiatian Zhu
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2025
@inproceedings{su2025domain,title={Domain Adaptive Diabetic Retinopathy Grading with Model Absence and Flowing Data},author={Su, Wenxin and Tang, Song and Liu, Xiaofeng and Yi, Xiaojing and Ye, Mao and Zu, Chunxiao and Li, Jiahao and Zhu, Xiatian},year={2025},booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},}
CVPR
FAM Diffusion: Frequency and Attention Modulation for High-Resolution Image Generation with Stable Diffusion
Haosen Yang, Adrian Bulat, Isma Hadji, Hai X. Pham, Xiatian Zhu, Georgios Tzimiropoulos, and Brais Martinez
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2025
@inproceedings{yang2025fam,title={FAM Diffusion: Frequency and Attention Modulation for High-Resolution Image Generation with Stable Diffusion},author={Yang, Haosen and Bulat, Adrian and Hadji, Isma and Pham, Hai X. and Zhu, Xiatian and Tzimiropoulos, Georgios and Martinez, Brais},year={2025},booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},}
CVPR
Bayesian Test-Time Adaptation for Vision-Language Models
Lihua Zhou, Mao Ye, Shuaifeng Li, Nianxin Li, Xiatian Zhu, Lei Deng, Hongbin Liu, and Zhen Lei
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2025
@inproceedings{zhou2025bayesian,title={Bayesian Test-Time Adaptation for Vision-Language Models},author={Zhou, Lihua and Ye, Mao and Li, Shuaifeng and Li, Nianxin and Zhu, Xiatian and Deng, Lei and Liu, Hongbin and Lei, Zhen},year={2025},booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},}
ICLR (Oral, 1.8%)
Proxy Denoising for Source-Free Domain Adaptation
Song Tang, Wenxin Su, Mao Ye, Jianwei Zhang, and Xiatian Zhu
In International Conference on Learning Representations 2025
@inproceedings{tang2025proxy,title={Proxy Denoising for Source-Free Domain Adaptation},author={Tang, Song and Su, Wenxin and Ye, Mao and Zhang, Jianwei and Zhu, Xiatian},year={2025},booktitle={International Conference on Learning Representations},}
ICLR
Reflective Gaussian Splatting
Yuxuan Yao, Zixuan Zeng, Chun Gu, Xiatian Zhu, and Li Zhang
In International Conference on Learning Representations 2025
@inproceedings{yao2025reflectivegs,title={Reflective Gaussian Splatting},author={Yao, Yuxuan and Zeng, Zixuan and Gu, Chun and Zhu, Xiatian and Zhang, Li},year={2025},booktitle={International Conference on Learning Representations},}
ICLR
SEBRA : Debiasing through Self-Guided Bias Ranking
Adarsh Kappiyath, Abhra Chaudhuri, Ajay Kumar Jaiswal, Ziquan Liu, Yunpeng Li, Xiatian Zhu, and Lu Yin
In International Conference on Learning Representations 2025
@inproceedings{Adarsh2025sebra,title={{SEBRA} : Debiasing through Self-Guided Bias Ranking},author={Kappiyath, Adarsh and Chaudhuri, Abhra and Jaiswal, Ajay Kumar and Liu, Ziquan and Li, Yunpeng and Zhu, Xiatian and Yin, Lu},booktitle={International Conference on Learning Representations},year={2025},}
TPAMI
DeepInteraction++: Multi-Modality Interaction for Autonomous Driving
Zeyu Yang, Nan Song, Wei Li, Xiatian Zhu, Li Zhang, and Philip H. S. Torr
IEEE Transactions on Pattern Analysis and Machine Intelligence 2025
@article{yang2024DIext,title={DeepInteraction++: Multi-Modality Interaction for Autonomous Driving},author={Yang, Zeyu and Song, Nan and Li, Wei and Zhu, Xiatian and Zhang, Li and Torr, Philip H. S.},year={2025},journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},}
@article{zhang2024unifieddomainadaptivesemantic,title={Unified Domain Adaptive Semantic Segmentation},author={Zhang, Zhe and Wu, Gaochang and Zhang, Jing and Zhu, Xiatian and Tao, Dacheng and Chai, Tianyou},year={2025},journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},}
ICASSP
Robust Low-Light Human Pose Estimation through Illumination-Texture Modulation
Feng Zhang, Ze Li, Xiatian Zhu, and Lei Chen
In IEEE International Conference on Acoustics, Speech, and Signal Processing 2025
@inproceedings{zhang2025lowlighthumanpose,title={Robust Low-Light Human Pose Estimation through Illumination-Texture Modulation},author={Zhang, Feng and Li, Ze and Zhu, Xiatian and Chen, Lei},year={2025},booktitle={IEEE International Conference on Acoustics, Speech, and Signal Processing},}
ICASSP
AgentPose: Progressive Distribution Alignment via Feature Agent for Human Pose Distillation
Feng Zhang, Jinwei Liu, Xiatian Zhu, and Lei Chen
In IEEE International Conference on Acoustics, Speech, and Signal Processing 2025
@inproceedings{zhang2025AgentPose,title={AgentPose: Progressive Distribution Alignment via Feature Agent for Human Pose Distillation},author={Zhang, Feng and Liu, Jinwei and Zhu, Xiatian and Chen, Lei},year={2025},booktitle={IEEE International Conference on Acoustics, Speech, and Signal Processing},}
AAAI
Unsupervised Audio-Visual Segmentation with Modality Alignment
@inproceedings{bhosale2025avs,title={Unsupervised Audio-Visual Segmentation with Modality Alignment},author={Bhosale, Swapnil and Yang, Haosen and Kanojia, Diptesh and Deng, Jiangkang and Zhu, Xiatian},year={2025},booktitle={AAAI Conference on Artificial Intelligence},}
AAAI
OmniCount: Multi-label Object Counting with Semantic-Geometric Priors
Anindya Mondal, Sauradip Nag, Xiatian Zhu, and Anjan Dutta
In AAAI Conference on Artificial Intelligence 2025
@inproceedings{mondal2025omnicount,title={OmniCount: Multi-label Object Counting with Semantic-Geometric Priors},author={Mondal, Anindya and Nag, Sauradip and Zhu, Xiatian and Dutta, Anjan},year={2025},booktitle={AAAI Conference on Artificial Intelligence},}
AAAI
Self-Prompting Analogical Reasoning for UAV Object Detection
Nianxin Li, Mao Ye, Lihua Zhou, Song Tang, Yan Gan, Zizhuo Liang, and Xiatian Zhu
In AAAI Conference on Artificial Intelligence 2025
@inproceedings{anonymous2025selfprompting,title={Self-Prompting Analogical Reasoning for {UAV} Object Detection},author={Li, Nianxin and Ye, Mao and Zhou, Lihua and Tang, Song and Gan, Yan and Liang, Zizhuo and Zhu, Xiatian},year={2025},booktitle={AAAI Conference on Artificial Intelligence},}
IJCV
Preconditioned Score-based Generative Models
Hengyuan Ma, Li Zhang, Xiatian Zhu, and Jianfeng Feng
@article{zhang2025preconditioned,author={Ma, Hengyuan and Zhang, Li and Zhu, Xiatian and Feng, Jianfeng},journal={International Journal of Computer Vision},title={Preconditioned Score-based Generative Models},year={2025},}
TETCI
Noise Perception Self-Supervised Learning for Unsupervised Person Re-Identification
Jingya Wang, Jianfeng Wen, Weiping Ding, Chunlin Yu, Xiatian Zhu, and Zhiyong Wang
IEEE transactions on emerging topics in computational intelligence 2025
@article{WangJingya2025NPSL,title={Noise Perception Self-Supervised Learning for Unsupervised Person Re-Identification},address={PISCATAWAY},author={Wang, Jingya and Wen, Jianfeng and Ding, Weiping and Yu, Chunlin and Zhu, Xiatian and Wang, Zhiyong},journal={IEEE transactions on emerging topics in computational intelligence},year={2025},}
CVPR-W
Diffusion Deepfake
Chaitali Bhattacharyya, Hanxiao Wang, Feng Zhang, Sungho Kim, and Xiatian Zhu
In CVPR Workshop on Synthetic Data for Computer Vision 2025
@inproceedings{Bhattacharyya2025diff,title={Diffusion Deepfake},author={Bhattacharyya, Chaitali and Wang, Hanxiao and Zhang, Feng and Kim, Sungho and Zhu, Xiatian},year={2025},booktitle={CVPR Workshop on Synthetic Data for Computer Vision},}
Preprint
Foundational Models for 3D Point Clouds: A Survey and Outlook
Vishal Thengane, Xiatian Zhu, Salim Bouzerdoum, Son Lam Phung, and Yunpeng Li
@article{thengane2025foundationalmodels3dpoint,title={Foundational Models for 3D Point Clouds: A Survey and Outlook},author={Thengane, Vishal and Zhu, Xiatian and Bouzerdoum, Salim and Phung, Son Lam and Li, Yunpeng},journal={arXiv preprint arXiv:2501.18594},year={2025},}
Preprint
Chirpy3D: Continuous Part Latents for Creative 3D Bird Generation
Kam Woh Ng, Jing Yang, Jia Wei Sii, Jiankang Deng, Chee Seng Chan, Yi-Zhe Song, Tao Xiang, and Xiatian Zhu
@article{ng2025chirpy3dcontinuouslatentscreative,title={Chirpy3D: Continuous Part Latents for Creative 3D Bird Generation},author={Ng, Kam Woh and Yang, Jing and Sii, Jia Wei and Deng, Jiankang and Chan, Chee Seng and Song, Yi-Zhe and Xiang, Tao and Zhu, Xiatian},journal={arXiv preprint arXiv:2501.04144},year={2025}}
2024
NeurIPS
AV-GS: Learning Material and Geometry Aware Priors for Novel View Acoustic Synthesis
@inproceedings{AV_GS2024,title={AV-GS: Learning Material and Geometry Aware Priors for Novel View Acoustic Synthesis},author={Bhosale, Swapnil and Yang, Haosen and Kanojia, Diptesh and Deng, Jiankang and Zhu, Xiatian},year={2024},booktitle={The Thirty-eighth Annual Conference on Neural Information Processing Systems},}
NeurIPS (Spotlight, 2.1%)
Tetrahedron Splatting for 3D Generation
Chun Gu, Zeyu Yang, Zijie Pan, Xiatian Zhu, and Li Zhang
In The Thirty-eighth Annual Conference on Neural Information Processing Systems 2024
@inproceedings{gu2024tetrahedron,title={Tetrahedron Splatting for 3D Generation},author={Gu, Chun and Yang, Zeyu and Pan, Zijie and Zhu, Xiatian and Zhang, Li},year={2024},booktitle={The Thirty-eighth Annual Conference on Neural Information Processing Systems},}
NeurIPS
Recognize Any Regions
Haosen Yang, Chuofan Ma, Bin Wen, Yi Jiang, Zehuan Yuan, and Xiatian Zhu
In The Thirty-eighth Annual Conference on Neural Information Processing Systems 2024
@inproceedings{yang2024recognize,title={Recognize Any Regions},booktitle={The Thirty-eighth Annual Conference on Neural Information Processing Systems},author={Yang, Haosen and Ma, Chuofan and Wen, Bin and Jiang, Yi and Yuan, Zehuan and Zhu, Xiatian},year={2024},}
NeurIPS (Spotlight, 2.1%)
Motion Forecasting in Continuous Driving
Nan Song, Bozhou Zhang, Xiatian Zhu, and Li Zhang
In The Thirty-eighth Annual Conference on Neural Information Processing Systems 2024
@inproceedings{song2024motion,title={Motion Forecasting in Continuous Driving},author={Song, Nan and Zhang, Bozhou and Zhu, Xiatian and Zhang, Li},booktitle={The Thirty-eighth Annual Conference on Neural Information Processing Systems},year={2024},}
NeurIPS
Cloud Object Detector Adaptation by Integrating Different Source Knowledge
Shuaifeng Li, Mao Ye, Lihua Zhou, Nianxin Li, Siying Xiao, Song Tang, and Xiatian Zhu
In The Thirty-eighth Annual Conference on Neural Information Processing Systems 2024
@inproceedings{li2024cloud,title={Cloud Object Detector Adaptation by Integrating Different Source Knowledge},author={Li, Shuaifeng and Ye, Mao and Zhou, Lihua and Li, Nianxin and Xiao, Siying and Tang, Song and Zhu, Xiatian},booktitle={The Thirty-eighth Annual Conference on Neural Information Processing Systems},year={2024},}
NeurIPS-W
3D Audio-Visual Segmentation
Artem Sokolov, Swapnil Bhosale, and Xiatian Zhu
In Audio Imagination: NeurIPS 2024 Workshop AI-Driven Speech, Music, and Sound Generation 2024
@inproceedings{ng2024PartCraft,title={PartCraft: Crafting Creative Objects by Parts},author={Ng, Kam Woh and Zhu, Xiatian and Song, Yi-Zhe and Xiang, Tao},year={2024},booktitle={European Conference on Computer Vision},}
ECCV
Bayesian Detector Combination for Object Detection with Crowdsourced Annotations
Zhi Qin Tan, Olga Isupova, Gustavo Carneiro, Xiatian Zhu, and Yunpeng Li
@inproceedings{tan2024BDC,title={Bayesian Detector Combination for Object Detection with Crowdsourced Annotations},author={Tan, Zhi Qin and Isupova, Olga and Carneiro, Gustavo and Zhu, Xiatian and Li, Yunpeng},year={2024},booktitle={European Conference on Computer Vision},}
ECCV-W
Single Image, Any Face: Generalisable 3D Face Generation
Wenqing Wang, Haosen Yang, Josef Kittler, and Xiatian Zhu
In ECCV Workshop on Wild 3D: 3D Modeling, Reconstruction, and Generation in the Wild 2024
@inproceedings{wang2024single,title={Single Image, Any Face: Generalisable 3D Face Generation},author={Wang, Wenqing and Yang, Haosen and Kittler, Josef and Zhu, Xiatian},booktitle={ECCV Workshop on Wild 3D: 3D Modeling, Reconstruction, and Generation in the Wild},year={2024},}
ACM-MM
Adversarial Experts Model for Black-box Domain Adaptation
Siying Xiao, Mao Ye, Qichen He, Shuaifeng LI, Song Tang, and Xiatian Zhu
@inproceedings{xiao2024adversarial,title={Adversarial Experts Model for Black-box Domain Adaptation},author={Xiao, Siying and Ye, Mao and He, Qichen and LI, Shuaifeng and Tang, Song and Zhu, Xiatian},booktitle={ACM Multimedia},year={2024},}
BMVC
Self-supervised Video Representation Learning with Motion-Aware Masked Autoencoders
Haosen Yang, Deng Huang, Bin Wen, Jiannan Wu, Hongxun Yao, Yi Jiang, Xiatian Zhu, and Zehuan Yuan
@inproceedings{yang2022motionmae,author={Yang, Haosen and Huang, Deng and Wen, Bin and Wu, Jiannan and Yao, Hongxun and Jiang, Yi and Zhu, Xiatian and Yuan, Zehuan},booktitle={British Machine Vision Conference},year={2024}}
ICLR
Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping
Zijie Pan, Jiachen Lu, Xiatian Zhu, and Li Zhang
In International Conference on Learning Representations 2024
@inproceedings{pan2024enhancing,title={Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping},author={Pan, Zijie and Lu, Jiachen and Zhu, Xiatian and Zhang, Li},booktitle={International Conference on Learning Representations},year={2024}}
CVPR
Source-Free Domain Adaptation with Frozen Multimodal Foundation Model
Song Tang, Wenxin Su, Mao Ye, and Xiatian Zhu
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2024
@inproceedings{tang2024sourcefree,title={Source-Free Domain Adaptation with Frozen Multimodal Foundation Model},author={Tang, Song and Su, Wenxin and Ye, Mao and Zhu, Xiatian},booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},year={2024},}
CVPR-W (Best paper award)
ConceptHash: Interpretable Fine-Grained Hashing with Concept Discovery
Kam Woh Ng, Xiatian Zhu, Yi-Zhe Song, and Tao Xiang
In Workshop on Fine-Grained Visual Categorization, the IEEE Conference on Computer Vision and Pattern Recognition 2024
@inproceedings{ngconcepthash,title={ConceptHash: Interpretable Fine-Grained Hashing with Concept Discovery},booktitle={Workshop on Fine-Grained Visual Categorization, the IEEE Conference on Computer Vision and Pattern Recognition},author={Ng, Kam Woh and Zhu, Xiatian and Song, Yi-Zhe and Xiang, Tao},year={2024},}
CVPR-W
DreamPet: Text Driven Controllable 3D Animal Generation with Gaussian Splatting
Vysakh Ramakrishnan, Sauradip Nag Nag, Amal Dev Parakkat, Xiatian Zhu, and Anjan Dutta
In Workshop on CV4Animals: Computer Vision for Animal Behavior Tracking and Modeling, the IEEE Conference on Computer Vision and Pattern Recognition 2024
@inproceedings{vysakh2024dreampet,title={DreamPet: Text Driven Controllable 3D Animal Generation with Gaussian Splatting},author={Ramakrishnan, Vysakh and Nag, Sauradip Nag and Parakkat, Amal Dev and Zhu, Xiatian and Dutta, Anjan},booktitle={Workshop on CV4Animals: Computer Vision for Animal Behavior Tracking and Modeling, the IEEE Conference on Computer Vision and Pattern Recognition},year={2024},}
AAAI (oral)
DiffSED: Sound Event Detection with Denoising Diffusion
@inproceedings{bhosale2024diffsed,title={DiffSED: Sound Event Detection with Denoising Diffusion},author={Bhosale, Swapnil and Nag, Sauradip and Kanojia, Diptesh and Deng, Jiankang and Zhu, Xiatian},booktitle={AAAI Conference on Artificial Intelligence},year={2024}}
MIA
Few-Shot Medical Image Segmentation with High-Fidelity Prototypes
Song Tang, Shaxu Yan, Xiaozhi Qi, Jianxin Gao, Mao Ye, Jianwei Zhang, and Xiatian Zhu
@article{tang2024fewshotmedicalimagesegmentation,title={Few-Shot Medical Image Segmentation with High-Fidelity Prototypes},author={Tang, Song and Yan, Shaxu and Qi, Xiaozhi and Gao, Jianxin and Ye, Mao and Zhang, Jianwei and Zhu, Xiatian},year={2024},journal={Medical Image Analysis},}
ESA
Multi-Scale Convolutional Neural Networks optimized by elite strategy dung beetle optimization algorithm for encrypted traffic classification
Quan Peng, Xingbing Fu, Fei Lin, Xiatian Zhu, Jianting Ning, and Fagen Li
@article{PENG2024125729,author={Peng, Quan and Fu, Xingbing and Lin, Fei and Zhu, Xiatian and Ning, Jianting and Li, Fagen},title={Multi-Scale Convolutional Neural Networks optimized by elite strategy dung beetle optimization algorithm for encrypted traffic classification},journal={Expert Systems with Applications},pages={125729},year={2024},issn={0957-4174},}
TPAMI
Compressed-SDR to HDR Video Reconstruction
Hu Wang, Mao Ye, Xiatian Zhu, Shuai Li, Xue Li, and Ce Zhu
IEEE Transactions on Pattern Analysis and Machine Intelligence 2024
@article{wang2024HDR,author={Wang, Hu and Ye, Mao and Zhu, Xiatian and Li, Shuai and Li, Xue and Zhu, Ce},journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},title={Compressed-SDR to HDR Video Reconstruction},year={2024}}
@article{yang2024knowledge,author={Yang, Jing and Zhu, Xiatian and Bulat, Adrian and Martinez, Brais and Tzimiropoulos, Georgios},journal={International Journal of Computer Vision},title={Knowledge Distillation Meets Open-Set Semi-Supervised Learning},year={2024}}
IJCV
Vision Transformers: From Semantic Segmentation to Dense Prediction
Li Zhang, Jiachen Lu, Sixiao Zheng, Xinxuan Zhao, Xiatian Zhu, Yanwei Fu, Tao Xiang, and Jianfeng Feng
@article{zhang2024setr-ext,author={Zhang, Li and Lu, Jiachen and Zheng, Sixiao and Zhao, Xinxuan and Zhu, Xiatian and Fu, Yanwei and Xiang, Tao and Feng, Jianfeng},journal={International Journal of Computer Vision},title={Vision Transformers: From Semantic Segmentation to Dense Prediction},year={2024}}
IJCV
Softmax-free linear transformers
Jiachen Lu, Li Zhang, Junge Zhang, Xiatian Zhu, Jianfeng Feng, and Tao Xiang
@article{lu2024soft,author={Lu, Jiachen and Zhang, Li and Zhang, Junge and Zhu, Xiatian and Feng, Jianfeng and Xiang, Tao},journal={International Journal of Computer Vision},title={Softmax-free linear transformers},year={2024}}
@article{Li2024123675,title={lllumination Distribution-Aware Thermal Pedestrian Detection},journal={IEEE Transactionson Intelligent Transportation Systems},year={2024},author={Li, Songtao and Ye, Mao and Ji, Luping and Tang, Song and Gan, Yan and Zhu, Xiatian},}
ESA
A hybrid approach for Android malware detection using improved multi-scale convolutional neural networks and residual networks
Xingbing Fu, Chaofan Jiang, Chaorong Li, Jiangtao Li, Xiatian Zhu, and Fagen Li
@article{FU2024123675,title={A hybrid approach for Android malware detection using improved multi-scale convolutional neural networks and residual networks},journal={Expert Systems with Applications},year={2024},doi={https://doi.org/10.1016/j.eswa.2024.123675},author={Fu, Xingbing and Jiang, Chaofan and Li, Chaorong and Li, Jiangtao and Zhu, Xiatian and Li, Fagen},}
@article{LIU2024123221,title={Shooting condition insensitive unmanned aerial vehicle object detection},journal={Expert Systems with Applications},year={2024},issn={0957-4174},doi={https://doi.org/10.1016/j.eswa.2024.123221},author={Liu, Jie and Cui, Jinzong and Ye, Mao and Zhu, Xiatian and Tang, Song},}
Preprint
4D Gaussian Splatting: Modeling Dynamic Scenes with Native 4D Primitives
Zeyu Yang, Zijie Pan, Xiatian Zhu, Li Zhang, Yu-Gang Jiang, and Philip H. S. Torr
@article{yang20244dgaussiansplattingmodeling,title={4D Gaussian Splatting: Modeling Dynamic Scenes with Native 4D Primitives},author={Yang, Zeyu and Pan, Zijie and Zhu, Xiatian and Zhang, Li and Jiang, Yu-Gang and Torr, Philip H. S.},year={2024},journal={arXiv preprint arXiv:2412.20720},}
Preprint
Driving Scene Synthesis on Free-form Trajectories with Generative Prior
Zeyu Yang, Zijie Pan, Yuankun Yang, Xiatian Zhu, and Li Zhang
@article{yang2024drivingscenesynthesisfreeform,title={Driving Scene Synthesis on Free-form Trajectories with Generative Prior},author={Yang, Zeyu and Pan, Zijie and Yang, Yuankun and Zhu, Xiatian and Zhang, Li},year={2024},journal={arXiv preprint arXiv:2412.01717},}
Preprint
FEDLAD: Federated Evaluation of Deep Leakage Attacks and Defenses
@article{Isaac2024FEDLAD,title={FEDLAD: Federated Evaluation of Deep Leakage Attacks and Defenses},author={Baglin, Isaac and Zhu, Xiatian and Hadfield, Simon},year={2024},journal={arXiv preprint arXiv:2411.03019},}
Preprint
FrozenSeg: Harmonizing Frozen Foundation Models for Open-Vocabulary Segmentation
Xi Chen, Haosen Yang, Sheng Jin, Xiatian Zhu, and Hongxun Yao
@article{Chen2024FrozenSegHF,title={FrozenSeg: Harmonizing Frozen Foundation Models for Open-Vocabulary Segmentation},author={Chen, Xi and Yang, Haosen and Jin, Sheng and Zhu, Xiatian and Yao, Hongxun},journal={arXiv preprint arXiv:2409.03525},year={2024},}
Preprint
Automating the Diagnosis of Human Vision Disorders by Cross-modal 3D Generation
Li Zhang, Yuankun Yang, Ziyang Xie, Zhiyuan Yuan, Jianfeng Feng, Xiatian Zhu, and Yu-Gang Jiang
@article{zhang2024automating,title={Automating the Diagnosis of Human Vision Disorders by Cross-modal 3D Generation},author={Zhang, Li and Yang, Yuankun and Xie, Ziyang and Yuan, Zhiyuan and Feng, Jianfeng and Zhu, Xiatian and Jiang, Yu-Gang},year={2024},journal={arXiv preprint arXiv:2405.15239},}
Preprint
Unified Source-Free Domain Adaptation
Song Tang, Wenxin Su, Mao Ye, Jianwei Zhang, and Xiatian Zhu
@article{tang2024usfda,title={Unified Source-Free Domain Adaptation},author={Tang, Song and Su, Wenxin and Ye, Mao and Zhang, Jianwei and Zhu, Xiatian},year={2024},journal={arXiv preprint arXiv:2403.07601},}
@article{mohan2024kans,title={KANs for Computer Vision: An Experimental Study},author={Mohan, Karthik and Wang, Hanxiao and Zhu, Xiatian},year={2024},journal={arXiv preprint arXiv:2411.18224},}
2023
NeurIPS
HeadSculpt: Crafting 3D Head Avatars with Text
Xiao Han, Yukang Cao, Kai Han, Xiatian Zhu, Jiankang Deng, Yi-Zhe Song, Tao Xiang, and Kwan-Yee K Wong
In Annual Conference on Neural Information Processing Systems 2023
@inproceedings{han2023headsculpt,title={HeadSculpt: Crafting 3D Head Avatars with Text},author={Han, Xiao and Cao, Yukang and Han, Kai and Zhu, Xiatian and Deng, Jiankang and Song, Yi-Zhe and Xiang, Tao and Wong, Kwan-Yee K},booktitle={Annual Conference on Neural Information Processing Systems},year={2023}}
ICCV
DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion
Sauradip Nag, Xiatian Zhu, Jiankang Deng, Yi-Zhe Song, and Tao Xiang
In Proceedings of the IEEE/CVF International Conference on Computer Vision 2023
@inproceedings{nag2023difftad,author={Nag, Sauradip and Zhu, Xiatian and Deng, Jiankang and Song, Yi-Zhe and Xiang, Tao},title={DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion},booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},year={2023}}
ICCV
Controllable Person Image Synthesis with Pose-Constrained Latent Diffusion
Xiao Han, Xiatian Zhu, Jiankang Deng, Yi-Zhe Song, and Tao Xiang
In Proceedings of the IEEE/CVF International Conference on Computer Vision 2023
@inproceedings{Han2023person,author={Han, Xiao and Zhu, Xiatian and Deng, Jiankang and Song, Yi-Zhe and Xiang, Tao},title={Controllable Person Image Synthesis with Pose-Constrained Latent Diffusion},booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},year={2023}}
ICCV
Homeomorphism Alignment for Unsupervised Domain Adaptation
Lihua Zhou, Mao Ye, Xiatian Zhu, Siying Xiao, Xu-Qian Fan, and Ferrante Neri
In Proceedings of the IEEE/CVF International Conference on Computer Vision 2023
@inproceedings{zhou2023homeomorphism,author={Zhou, Lihua and Ye, Mao and Zhu, Xiatian and Xiao, Siying and Fan, Xu-Qian and Neri, Ferrante},title={Homeomorphism Alignment for Unsupervised Domain Adaptation},booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},year={2023}}
ICCV
DeepChange: A Long-Term Person Re-Identification Benchmark with Clothes Change
Peng Xu, and Xiatian Zhu
In Proceedings of the IEEE/CVF International Conference on Computer Vision 2023
@inproceedings{xu2023deepchange,author={Xu, Peng and Zhu, Xiatian},booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},title={DeepChange: A Long-Term Person Re-Identification Benchmark with Clothes Change},year={2023}}
ICCV-W
Retrieving-to-Answer: Zero-Shot Video Question Answering with Frozen Large Language Models
Junting Pan, Ziyi Lin, Yuying Ge, Xiatian Zhu, Renrui Zhang, Yi Wang, Yu Qiao, and Hongsheng Li
In What is Next in Multimodal Foundation Models workshop, the IEEE/CVF International Conference on Computer Vision 2023
@inproceedings{pan2023retrieving,title={Retrieving-to-Answer: Zero-Shot Video Question Answering with Frozen Large Language Models},author={Pan, Junting and Lin, Ziyi and Ge, Yuying and Zhu, Xiatian and Zhang, Renrui and Wang, Yi and Qiao, Yu and Li, Hongsheng},booktitle={What is Next in Multimodal Foundation Models workshop, the IEEE/CVF International Conference on Computer Vision},year={2023}}
ICCV-W
Actor-agnostic Multi-Label Action Recognition with Multi-modal Query
Anindya Mondal, Sauradip Nag, Joaquin M. Prada, Xiatian Zhu, and Anjan Dutta
In New Ideas in Vision Transformers workshop, the IEEE/CVF International Conference on Computer Vision 2023
@inproceedings{mondal2023actor,title={Actor-agnostic Multi-Label Action Recognition with Multi-modal Query},author={Mondal, Anindya and Nag, Sauradip and Prada, Joaquin M. and Zhu, Xiatian and Dutta, Anjan},booktitle={New Ideas in Vision Transformers workshop, the IEEE/CVF International Conference on Computer Vision},year={2023}}
ICCV-W
Unsupervised Audio-Visual Segmentation with Frozen Foundation Models
Swapnil Bhosale, Haosen Yang, Diptesh Kanojia, and Xiatian Zhu
In AV4D: Visual Learning of Sounds in Spaces workshop, the IEEE/CVF International Conference on Computer Vision 2023
@inproceedings{Bhosale2023UAVS,title={Unsupervised Audio-Visual Segmentation with Frozen Foundation Models},author={Bhosale, Swapnil and Yang, Haosen and Kanojia, Diptesh and Zhu, Xiatian},booktitle={AV4D: Visual Learning of Sounds in Spaces workshop, the IEEE/CVF International Conference on Computer Vision},year={2023}}
CVPR
Generative Semantic Segmentation
Jiaqi Chen, Jiachen Lu, Xiatian Zhu, and Li Zhang
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2023
@inproceedings{chen2023gss,title={Generative Semantic Segmentation},author={Chen, Jiaqi and Lu, Jiachen and Zhu, Xiatian and Zhang, Li},booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},year={2023},}
CVPR (Highlight)
FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks
Xiao Han, Xiatian Zhu, Licheng Yu, Li Zhang, Yi-Zhe Song, and Tao Xiang
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2023
@inproceedings{han2023fame,title={FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks},author={Han, Xiao and Zhu, Xiatian and Yu, Licheng and Zhang, Li and Song, Yi-Zhe and Xiang, Tao},booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},year={2023},}
CVPR
Post-Processing Temporal Action Detection
Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, and Tao Xiang
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2023
@inproceedings{nag2022post,author={Nag, Sauradip and Zhu, Xiatian and Song, Yi-Zhe and Xiang, Tao},title={Post-Processing Temporal Action Detection},booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},year={2023},}
IJCAI
Independent Feature Decomposition and Instance Alignment for Unsupervised Domain Adaptation
Qichen He, Siying Xiao, Mao Ye, Xiatian Zhu, Ferrante Neri, and Dongde Hou
In International Joint Conference on Artificial Intelligence 2023
@inproceedings{he2023uda,author={He, Qichen and Xiao, Siying and Ye, Mao and Zhu, Xiatian and Neri, Ferrante and Hou, Dongde},title={Independent Feature Decomposition and Instance Alignment for Unsupervised
Domain Adaptation},booktitle={International Joint Conference on Artificial Intelligence},year={2023}}
BMVC (Oral)
Unsupervised Hashing via Similarity Distribution Calibration
Kam Woh Ng, Xiatian Zhu, Jiun Tian Hoe, Chee Seng Chan, Tianyu Zhang, Yi-Zhe Song, and Tao Xiang
In Proceedings of British Machine Vision Conference 2023
@inproceedings{ng2023unsupervised,author={Ng, Kam Woh and Zhu, Xiatian and Hoe, Jiun Tian and Chan, Chee Seng and Zhang, Tianyu and Song, Yi-Zhe and Xiang, Tao},booktitle={Proceedings of British Machine Vision Conference},title={Unsupervised Hashing via Similarity Distribution Calibration},year={2023}}
IC-NIDC (best paper award)
Vision-Language Assisted Attribute Learning
Kongming Liang, Xinran Wang, Rui Wang, Donghui Gao, Ling Jin, Weidong Liu, Xiatian Zhu, Zhanyu Ma, and Jun Guo
In IEEE International Conference on Network Intelligence and Digital Content 2023
@inproceedings{he2023udb,author={Liang, Kongming and Wang, Xinran and Wang, Rui and Gao, Donghui and Jin, Ling and Liu, Weidong and Zhu, Xiatian and Ma, Zhanyu and Guo, Jun},title={Vision-Language Assisted Attribute Learning},booktitle={IEEE International Conference on Network Intelligence and Digital Content},year={2023}}
IC-NIDC
Unsupervised Long-Term Person Re-Identification with Clothes Change
Mingkun Li, Shupeng Cheng, Peng Xu, Xiatian Zhu, Chunguang Li, and Jun Guo
In Proceedings of the IEEE International Conference on Network Intelligence and Digital Content 2023
@inproceedings{li2023unsupervised,author={Li, Mingkun and Cheng, Shupeng and Xu, Peng and Zhu, Xiatian and Li, Chunguang and Guo, Jun},booktitle={Proceedings of the IEEE International Conference on Network Intelligence and Digital Content},title={Unsupervised Long-Term Person Re-Identification with Clothes Change},year={2023}}
TPAMI
Multimodal Learning with Transformers: A Survey
Peng Xu, Xiatian Zhu, and David A Clifton
IEEE Transactions on Pattern Analysis and Machine Intelligence 2023
@article{xu2023multimodal,author={Xu, Peng and Zhu, Xiatian and Clifton, David A},journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},title={Multimodal Learning with Transformers: A Survey},year={2023}}
IJCV
Source-free Domain Adaptation via Target Prediction Distribution Searching
Song Tang, An Chang, Zhang Fabian, Xiatian Zhu, Mao Ye, and Changshui Zhang
@article{tang2023sfda,author={Tang, Song and Chang, An and Fabian, Zhang and Zhu, Xiatian and Ye, Mao and Zhang, Changshui},journal={International Journal of Computer Vision},title={Source-free Domain Adaptation via Target Prediction Distribution Searching},year={2023}}
PR
Source-free domain adaptation with Class Prototype Discovery
Lihua Zhou, Nianxin Li, Mao Ye, Xiatian Zhu, and Song Tang
@article{ZHOU2023109974,title={Source-free domain adaptation with Class Prototype Discovery},journal={Pattern Recognition},year={2023},author={Zhou, Lihua and Li, Nianxin and Ye, Mao and Zhu, Xiatian and Tang, Song}}
TCSVT
Adaptive Mutual Learning for Unsupervised Domain Adaptation
Lihua Zhou, Siying Xiao, Mao Ye, Xiatian Zhu, and Shuaifeng Li
IEEE Transactions on Circuits and Systems for Video Technology 2023
@article{zhou22aml,title={Adaptive Mutual Learning for Unsupervised Domain Adaptation},author={Zhou, Lihua and Xiao, Siying and Ye, Mao and Zhu, Xiatian and Li, Shuaifeng},journal={IEEE Transactions on Circuits and Systems for Video Technology},year={2023}}
NC
Uncertainty-aware pseudo-label filtering for source-free unsupervised domain adaptation
Xi Chen, Haosen Yang, Huicong Zhang, Hongxun Yao, and Xiatian Zhu
@article{CHEN2023127190,title={Uncertainty-aware pseudo-label filtering for source-free unsupervised domain adaptation},journal={Neurocomputing},year={2023},issn={0925-2312},author={Chen, Xi and Yang, Haosen and Zhang, Huicong and Yao, Hongxun and Zhu, Xiatian}}
NeurIPS-W
Adaptive-Labeling for Enhancing Remote Sensing Cloud Understanding
Jay Gala, Sauradip Nag, Huichou Huang, Ruirui Liu, and Xiatian Zhu
Tackling Climate Change with Machine Learning: workshop at NeurIPS 2023
@article{gala2023adaptive,title={Adaptive-Labeling for Enhancing Remote Sensing Cloud Understanding},author={Gala, Jay and Nag, Sauradip and Huang, Huichou and Liu, Ruirui and Zhu, Xiatian},journal={Tackling Climate Change with Machine Learning: workshop at NeurIPS},year={2023}}
NeurIPS-W
Typhoon Intensity Prediction with Vision Transformer
@article{chen2023typhoon,title={Typhoon Intensity Prediction with Vision Transformer},author={Chen, Huanxin and Yin, Pengshuai and Huang, Huichou and Wu, Qingyao and Liu, Ruirui and Zhu, Xiatian},journal={Tackling Climate Change with Machine Learning: workshop at NeurIPS},year={2023}}
Preprint
Periodic Vibration Gaussian: Dynamic Urban Scene Reconstruction and Real-time Rendering
Yurui Chen, Chun Gu, Junzhe Jiang, Xiatian Zhu, and Li Zhang
@article{chen2023periodic,title={Periodic Vibration Gaussian: Dynamic Urban Scene Reconstruction and Real-time Rendering},author={Chen, Yurui and Gu, Chun and Jiang, Junzhe and Zhu, Xiatian and Zhang, Li},year={2023},journal={arXiv preprint arXiv:2311.18561},}
Preprint
Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting
Zeyu Yang, Hongye Yang, Zijie Pan, Xiatian Zhu, and Li Zhang
@article{yang20234dgs,author={Yang, Zeyu and Yang, Hongye and Pan, Zijie and Zhu, Xiatian and Zhang, Li},journal={arXiv preprint arXiv:2310.10642},title={Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting},year={2023}}
Preprint
PersonalTailor: Personalizing 2D Pattern Design from 3D Garment Point Clouds
Sauradip Nag, Anran Qi, Xiatian Zhu, and Ariel Shamir
@article{qi2023personaltailor,title={PersonalTailor: Personalizing 2D Pattern Design from 3D Garment Point Clouds},author={Nag, Sauradip and Qi, Anran and Zhu, Xiatian and Shamir, Ariel},journal={arXiv preprint arXiv:2303.09695},year={2023}}
AAAI
PolarFormer: Multi-camera 3D Object Detection with Polar Transformers
Yanqin Jiang, Li Zhang, Zhenwei Miao, Xiatian Zhu, Jin Gao, Weiming Hu, and Yu-Gang Jiang
In AAAI Conference on Artificial Intelligence 2023
@inproceedings{jiang2023polarformer,title={PolarFormer: Multi-camera 3D Object Detection with Polar Transformers},author={Jiang, Yanqin and Zhang, Li and Miao, Zhenwei and Zhu, Xiatian and Gao, Jin and Hu, Weiming and Jiang, Yu-Gang},booktitle={AAAI Conference on Artificial Intelligence},year={2023}}
2022
NeurIPS
MetaTeacher: Coordinating Multi-Model Domain Adaptation for Medical Image Classification
Zhenbin Wang, Mao Ye, Xiatian Zhu, Liuhan Peng, Liang Tian, and Yingying Zhu
In Annual Conference on Neural Information Processing Systems 2022
@inproceedings{wang2022meta,author={Wang, Zhenbin and Ye, Mao and Zhu, Xiatian and Peng, Liuhan and Tian, Liang and Zhu, Yingying},booktitle={Annual Conference on Neural Information Processing Systems},title={MetaTeacher: Coordinating Multi-Model Domain Adaptation for Medical Image Classification},year={2022}}
NeurIPS
ST-Adapter: Parameter-Efficient Image-to-Video Transfer Learning
Junting Pan, Ziyi Lin, Xiatian Zhu, Jing Shao, and Hongsheng Li
In Annual Conference on Neural Information Processing Systems 2022
@inproceedings{pan2022parameter,author={Pan, Junting and Lin, Ziyi and Zhu, Xiatian and Shao, Jing and Li, Hongsheng},booktitle={Annual Conference on Neural Information Processing Systems},title={ST-Adapter: Parameter-Efficient Image-to-Video Transfer Learning},year={2022}}
NeurIPS
DeepInteraction: 3D Object Detection via Modality Interaction
Zeyu Yang, Jiaqi Chen, Zhenwei Miao, Wei Li, Xiatian Zhu, and Li Zhang
In Annual Conference on Neural Information Processing Systems 2022
@inproceedings{yang2022deepinteraction,title={DeepInteraction: 3D Object Detection via Modality Interaction},author={Yang, Zeyu and Chen, Jiaqi and Miao, Zhenwei and Li, Wei and Zhu, Xiatian and Zhang, Li},booktitle={Annual Conference on Neural Information Processing Systems},year={2022}}
@article{nag2022posu,author={Nag, Sauradip and Xu, Mengmeng and Zhu, Xiatian and Perez-Rua, Juan-Manuel and Ghanem, Bernard and Song, Yi-Zhe and Xiang, Tao},title={Multi-Modal Few-Shot Temporal Action Detection via Vision-Language Meta-Adaptation},journal={arXiv},year={2022}}
Preprint
Accelerating Score-based Generative Models for High-Resolution Image Synthesis
Hengyuan Ma, Li Zhang, Xiatian Zhu, Jingfeng Zhang, and Jianfeng Feng
@inproceedings{ma2022pds,title={Accelerating Score-based Generative Models for High-Resolution Image Synthesis},author={Ma, Hengyuan and Zhang, Li and Zhu, Xiatian and Zhang, Jingfeng and Feng, Jianfeng},booktitle={arXiv},year={2022}}
TPAMI
Towards uncovering the intrinsic data structures for unsupervised domain adaptation using structurally regularized deep clustering
Hui Tang, Xiatian Zhu, Ke Chen, Kui Jia, and CL Philip Chen
IEEE Transactions on Pattern Analysis and Machine Intelligence 2022
@article{tang2022towards,title={Towards uncovering the intrinsic data structures for unsupervised domain adaptation using structurally regularized deep clustering},author={Tang, Hui and Zhu, Xiatian and Chen, Ke and Jia, Kui and Chen, CL Philip},journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},volume={44},number={10},pages={6517--6533},year={2022},}
TPAMI
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Yanbei Chen, Massimiliano Mancini, Xiatian Zhu, and Zeynep Akata
IEEE Transactions on Pattern Analysis and Machine Intelligence 2022
@article{chen2021survey,author={Chen, Yanbei and Mancini, Massimiliano and Zhu, Xiatian and Akata, Zeynep},journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},title={Semi-Supervised and Unsupervised Deep Visual Learning: A Survey},year={2022}}
ECCV
EdgeViTs: Competing Light-weight CNNs on Mobile Devices with Vision Transformers
Junting Pan, Adrian Bulat, Fuwen Tan, Xiatian Zhu, Lukasz Dudziak, Hongsheng Li, Georgios Tzimiropoulos, and Brais Martinez
@inproceedings{pan2022edgevits,author={Pan, Junting and Bulat, Adrian and Tan, Fuwen and Zhu, Xiatian and Dudziak, Lukasz and Li, Hongsheng and Tzimiropoulos, Georgios and Martinez, Brais},booktitle={European Conference on Computer Vision},title={EdgeViTs: Competing Light-weight CNNs on Mobile Devices with Vision Transformers},year={2022}}
ECCV
Learning Ego 3D Representation as Ray Tracing
Jiachen Lu, Zheyuan Zhou, Xiatian Zhu, Hang Xu, and Li Zhang
@inproceedings{lu2022ego3rt,author={Lu, Jiachen and Zhou, Zheyuan and Zhu, Xiatian and Xu, Hang and Zhang, Li},booktitle={European Conference on Computer Vision},title={Learning Ego 3D Representation as Ray Tracing},year={2022}}
ECCV
Accelerating Score-based Generative Models with Preconditioned Diffusion Sampling
Hengyuan Ma, Li Zhang, Xiatian Zhu, and Jianfeng Feng
@inproceedings{ma2022pdt,title={Accelerating Score-based Generative Models with Preconditioned Diffusion Sampling},author={Ma, Hengyuan and Zhang, Li and Zhu, Xiatian and Feng, Jianfeng},booktitle={European Conference on Computer Vision},year={2022}}
ECCV
Temporal Action Detection with Global Segmentation Mask Learning
Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, and Tao Xiang
@inproceedings{nag2022temporal_GSM,author={Nag, Sauradip and Zhu, Xiatian and Song, Yi-Zhe and Xiang, Tao},title={Temporal Action Detection with Global Segmentation Mask Learning},booktitle={European Conference on Computer Vision },year={2022}}
ECCV
Semi-Supervised Temporal Action Detection with Proposal-Free Masking
Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, and Tao Xiang
@inproceedings{nag2022temporal,author={Nag, Sauradip and Zhu, Xiatian and Song, Yi-Zhe and Xiang, Tao},title={Semi-Supervised Temporal Action Detection with Proposal-Free Masking},booktitle={European Conference on Computer Vision },year={2022}}
ECCV
Zero-Shot Temporal Action Detection via Vision-Language Prompting
Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, and Tao Xiang
@inproceedings{nag2022zeroshot,author={Nag, Sauradip and Zhu, Xiatian and Song, Yi-Zhe and Xiang, Tao},title={Zero-Shot Temporal Action Detection via Vision-Language Prompting},booktitle={European Conference on Computer Vision },year={2022}}
@inproceedings{han2022fashionvil,author={Han, Xiao and Yu, Licheng and Zhu, Xiatian and Zhang, Li and Song, Yi-Zhe and Xiang, Tao},title={FashionViL: Fashion-Focused Vision-and-Language Representation Learning},booktitle={European Conference on Computer Vision },year={2022}}
ECCV
SOS! Self-supervised Learning Over Sets Of Handled Objects In Egocentric Action Recognition
Victor Escorcia, Ricardo Guerrero, Xiatian Zhu, and Brais Martinez
@inproceedings{escorcia2022sos,author={Escorcia, Victor and Guerrero, Ricardo and Zhu, Xiatian and Martinez, Brais},booktitle={European Conference on Computer Vision},title={SOS! Self-supervised Learning Over Sets Of Handled Objects In Egocentric Action Recognition},year={2022}}
ICPR
Open-Set Semi-Supervised Learning for 3D Point Cloud Understanding
Xian Shi, Xun Xu, Wanyue Zhang, Xiatian Zhu, Chuan Sheng Foo, and Kui Jia
In International Conference on Pattern Recognition 2022
@inproceedings{shi2022open,title={Open-Set Semi-Supervised Learning for 3D Point Cloud Understanding},author={Shi, Xian and Xu, Xun and Zhang, Wanyue and Zhu, Xiatian and Foo, Chuan Sheng and Jia, Kui},booktitle={International Conference on Pattern Recognition},year={2022}}
ACM MM
Structure-Preserving Motion Estimation for Learned Video Compression
Han Gao, Jinzhong Cui, Mao Ye, Shuai Li, Yu Zhao, and Xiatian Zhu
@inproceedings{gao22structured,title={Structure-Preserving Motion Estimation for Learned Video
Compression},author={Gao, Han and Cui, Jinzhong and Ye, Mao and Li, Shuai and Zhao, Yu and Zhu, Xiatian},booktitle={ACM Multimedia},year={2022}}
ACM MM
Class Discriminative Adversarial Learning for Unsupervised Domain Adaptation
Lihua Zhou, Mao Ye, Xiatian Zhu, Shuaifeng Li, and Yiguang Liu
@inproceedings{zhou22uda,title={Class Discriminative Adversarial Learning for Unsupervised Domain Adaptation},author={Zhou, Lihua and Ye, Mao and Zhu, Xiatian and Li, Shuaifeng and Liu, Yiguang},booktitle={ACM Multimedia},year={2022}}
PR
Few-shot Website Fingerprinting attack with Meta-Bias Learning
@article{chen2022few,author={Chen, Mantun and Wang, Yongjun and Zhu, Xiatian},journal={Pattern Recognition},pages={108739},publisher={Pergamon},title={Few-shot Website Fingerprinting attack with Meta-Bias Learning},volume={130},year={2022}}
PR
Unsupervised cross-domain person re-identification by instance and distribution alignment
@article{lan2022unsupervised,author={Lan, Xu and Zhu, Xiatian and Gong, Shaogang},journal={Pattern Recognition},pages={108514},publisher={Pergamon},title={Unsupervised cross-domain person re-identification by instance and distribution alignment},volume={124},year={2022}}
IJCAI
KUNet: Imaging Knowledge-Inspired Single HDR Image Reconstruction
Hu Wang, Mao Ye, Xiatian Zhu, Shuai Li, Ce Zhu, and Xue Li
In International Joint Conference on Artificial Intelligence 2022
@inproceedings{wang2022kunet,author={Wang, Hu and Ye, Mao and Zhu, Xiatian and Li, Shuai and Zhu, Ce and Li, Xue},booktitle={International Joint Conference on Artificial Intelligence},title={KUNet: Imaging Knowledge-Inspired Single HDR Image Reconstruction},year={2022}}
CVPR
Source-Free Object Detection by Learning To Overlook Domain Style
Shuaifeng Li, Mao Ye, Xiatian Zhu, Lihua Zhou, and Lin Xiong
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Jun 2022
@inproceedings{Li_2022_CVPR,author={Li, Shuaifeng and Ye, Mao and Zhu, Xiatian and Zhou, Lihua and Xiong, Lin},title={Source-Free Object Detection by Learning To Overlook Domain Style},booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},month=jun,year={2022},pages={8014-8023}}
PR
Low-resolution human pose estimation
Chen Wang, Feng Zhang, Xiatian Zhu, and Shuzhi Sam Ge
@article{wang2022low,author={Wang, Chen and Zhang, Feng and Zhu, Xiatian and Ge, Shuzhi Sam},journal={Pattern Recognition},pages={108579},publisher={Pergamon},title={Low-resolution human pose estimation},volume={126},year={2022}}
PR
Learning hybrid ranking representation for person re-identification
@article{wu2022learning,author={Wu, Guile and Zhu, Xiatian and Gong, Shaogang},journal={Pattern Recognition},pages={108239},publisher={Pergamon},title={Learning hybrid ranking representation for person re-identification},volume={121},year={2022}}
IJCV
Joint Bilateral-Resolution Identity Modeling for Cross-Resolution Person Re-Identification
Wei-Shi Zheng, Jincheng Hong, Jiening Jiao, Ancong Wu, Xiatian Zhu, Shaogang Gong, Jiayin Qin, and Jianhuang Lai
@article{zheng2022joint,author={Zheng, Wei-Shi and Hong, Jincheng and Jiao, Jiening and Wu, Ancong and Zhu, Xiatian and Gong, Shaogang and Qin, Jiayin and Lai, Jianhuang},journal={International Journal of Computer Vision},number={1},pages={136--156},publisher={Springer US},title={Joint Bilateral-Resolution Identity Modeling for Cross-Resolution Person Re-Identification},volume={130},year={2022}}
2021
Few-shot website fingerprinting attack
Mantun Chen, Yongjun Wang, Hongzuo Xu, and Xiatian Zhu
@article{chen2021few,author={Chen, Mantun and Wang, Yongjun and Xu, Hongzuo and Zhu, Xiatian},journal={Computer Networks},pages={108298},publisher={Elsevier},volume={198},year={2021}}
Few-shot website fingerprinting attack with data augmentation
Mantun Chen, Yongjun Wang, Zhiquan Qin, and Xiatian Zhu
@article{chen2021fex,author={Chen, Mantun and Wang, Yongjun and Qin, Zhiquan and Zhu, Xiatian},journal={Security and Communication Networks},publisher={Hindawi},volume={2021},year={2021}}
TIP
Global aggregation then local distribution for scene parsing
Xiangtai Li, Li Zhang, Guangliang Cheng, Kuiyuan Yang, Yunhai Tong, Xiatian Zhu, and Tao Xiang
@article{li2021global,author={Li, Xiangtai and Zhang, Li and Cheng, Guangliang and Yang, Kuiyuan and Tong, Yunhai and Zhu, Xiatian and Xiang, Tao},journal={IEEE Transactions on Image Processing},pages={6829--6842},publisher={IEEE},title={Global aggregation then local distribution for scene parsing},volume={30},year={2021}}
PR
Hierarchical distillation learning for scalable person search
@article{li2021hierarchical,author={Li, Wei and Gong, Shaogang and Zhu, Xiatian},journal={Pattern Recognition},pages={107862},title={Hierarchical distillation learning for scalable person search},volume={114},year={2021}}
Preprint
Unsupervised Noisy Tracklet Person Re-identification
@article{li2021unsupervised,author={Li, Minxian and Zhu, Xiatian and Gong, Shaogang},journal={arXiv preprint arXiv:2101.06391},title={Unsupervised Noisy Tracklet Person Re-identification},year={2021}}
ICCV
Simpler is better: Few-shot semantic segmentation with classifier weight transformer
Zhihe Lu, Sen He, Xiatian Zhu, Li Zhang, Yi-Zhe Song, and Tao Xiang
In Proceedings of the IEEE/CVF International Conference on Computer Vision Jun 2021
@inproceedings{lu2021simpler,author={Lu, Zhihe and He, Sen and Zhu, Xiatian and Zhang, Li and Song, Yi-Zhe and Xiang, Tao},booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},pages={8741--8750},title={Simpler is better: Few-shot semantic segmentation with classifier weight transformer},year={2021}}
NeurIPS (Spotlight)
SOFT: softmax-free transformer with linear complexity
Jiachen Lu, Jinghan Yao, Junge Zhang, Xiatian Zhu, Hang Xu, Weiguo Gao, Chunjing Xu, Tao Xiang, and Li Zhang
In Annual Conference on Neural Information Processing Systems Jun 2021
@inproceedings{lu2021soft,author={Lu, Jiachen and Yao, Jinghan and Zhang, Junge and Zhu, Xiatian and Xu, Hang and Gao, Weiguo and Xu, Chunjing and Xiang, Tao and Zhang, Li},booktitle={Annual Conference on Neural Information Processing Systems},pages={21297--21309},title={SOFT: softmax-free transformer with linear complexity},volume={34},year={2021}}
BMVC
Few-shot temporal action localization with query adaptive transformer
@inproceedings{perez2020knowing,author={Perez-Rua, Juan-Manuel and Martinez, Brais and Zhu, Xiatian and Toisoul, Antoine and Escorcia, Victor and Xiang, Tao},booktitle={British Machine Vision Conference},title={Knowing what, where and when to look: Efficient video action modeling with attention},year={2021}}
CVIU
Multi-perspective cross-class domain adaptation for open logo detection
@article{su2021multi,author={Su, Hang and Gong, Shaogang and Zhu, Xiatian},journal={Computer Vision and Image Understanding},pages={103156},publisher={Academic Press},title={Multi-perspective cross-class domain adaptation for open logo detection},volume={204},year={2021}}
ICCV
Boundary-sensitive pre-training for temporal localization in videos
Mengmeng Xu, Juan-Manuel Pérez-Rúa, Victor Escorcia, Brais Martinez, Xiatian Zhu, Li Zhang, Bernard Ghanem, and Tao Xiang
In Proceedings of the IEEE/CVF International Conference on Computer Vision Jun 2021
@inproceedings{xu2021boundary,author={Xu, Mengmeng and P{\'e}rez-R{\'u}a, Juan-Manuel and Escorcia, Victor and Martinez, Brais and Zhu, Xiatian and Zhang, Li and Ghanem, Bernard and Xiang, Tao},booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},pages={7220--7230},title={Boundary-sensitive pre-training for temporal localization in videos},year={2021}}
NeurIPS
Low-Fidelity End-to-End Video Encoder Pre-training for Temporal Action Localization
Mengmeng Xu, Juan-Manuel Perez-Ru, Xiatian Zhu, Bernard Ghanem, and Brais Martinez
In Annual Conference on Neural Information Processing Systems Jun 2021
@inproceedings{xu2021low,author={Xu, Mengmeng and Perez-Ru, Juan-Manuel and Zhu, Xiatian and Ghanem, Bernard and Martinez, Brais},booktitle={Annual Conference on Neural Information Processing Systems},year={2021}}
@article{zhang2021single,author={Zhang, Feng and Zhu, Xiatian and Wang, Chen},journal={arXiv preprint arXiv:2109.10056},title={Single Person Pose Estimation: A Survey},year={2021}}
CVPR
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
Sixiao Zheng, Jiachen Lu, Hengshuang Zhao, Xiatian Zhu, Zekun Luo, Yabiao Wang, Yanwei Fu, Jianfeng Feng, Tao Xiang, Philip HS Torr, and others
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Jun 2021
@inproceedings{zheng2021rethinking,author={Zheng, Sixiao and Lu, Jiachen and Zhao, Hengshuang and Zhu, Xiatian and Luo, Zekun and Wang, Yabiao and Fu, Yanwei and Feng, Jianfeng and Xiang, Tao and Torr, Philip HS and others},booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},title={Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers},year={2021}}
BMVC
Few-shot Action Recognition with Prototype-centered Attentive Learning
Xiatian Zhu, Antoine Toisoul, Juan-Manuel Perez-Rua, Li Zhang, Brais Martinez, and Tao Xiang
@inproceedings{zhu2021few,author={Zhu, Xiatian and Toisoul, Antoine and Perez-Rua, Juan-Manuel and Zhang, Li and Martinez, Brais and Xiang, Tao},booktitle={British Machine Vision Conference},title={Few-shot Action Recognition with Prototype-centered Attentive Learning},year={2021}}
IJCV
Intra-camera supervised person re-identification
Xiangping Zhu, Xiatian Zhu, Minxian Li, Pietro Morerio, Vittorio Murino, and Shaogang Gong
@article{zhu2021intra,author={Zhu, Xiangping and Zhu, Xiatian and Li, Minxian and Morerio, Pietro and Murino, Vittorio and Gong, Shaogang},journal={International Journal of Computer Vision},number={5},pages={1580--1595},publisher={Springer US},title={Intra-camera supervised person re-identification},volume={129},year={2021}}
2020
AAAI
Semi-Supervised Learning under Class Distribution Mismatch
Yanbei Chen, Xiatian Zhu, Wei Li, and Shaogang Gong
In AAAI Conference on Artificial Intelligence Jun 2020
@inproceedings{chen2020semi,author={Chen, Yanbei and Zhu, Xiatian and Li, Wei and Gong, Shaogang},booktitle={AAAI Conference on Artificial Intelligence},title={Semi-Supervised Learning under Class Distribution Mismatch},year={2020}}
WACV
Characteristic Regularisation for Super-Resolving Face Images
Zhiyi Cheng, Xiatian Zhu, and Shaogang Gong
In Proceedings of IEEE Winter Conference on Applications of Computer Vision Jun 2020
@inproceedings{cheng2020characteristic,author={Cheng, Zhiyi and Zhu, Xiatian and Gong, Shaogang},booktitle={Proceedings of IEEE Winter Conference on Applications of Computer Vision},title={Characteristic Regularisation for Super-Resolving Face Images},year={2020}}
PR
Face re-identification challenge: Are face recognition models good enough?
@article{cheng2020face,author={Cheng, Zhiyi and Zhu, Xiatian and Gong, Shaogang},journal={Pattern Recognition},pages={107422},title={Face re-identification challenge: Are face recognition models good enough?},volume={107},year={2020}}
CVPR (Oral)
Inter-Task Association Critic for Cross-Resolution Person Re-Identification
Zhiyi Cheng, Qi Dong, Shaogang Gong, and Xiatian Zhu
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Jun 2020
@inproceedings{cheng2020inter,author={Cheng, Zhiyi and Dong, Qi and Gong, Shaogang and Zhu, Xiatian},booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},title={Inter-Task Association Critic for Cross-Resolution Person Re-Identification},year={2020}}
ICCV-W
Joint COCO and Mapillary Workshop at ICCV 2019 keypoint detection challenge track technical report: distribution-aware coordinate representation for human pose estimation
Hanbin Dai, Liangbo Zhou, Feng Zhang, Zhengyu Zhang, Hong Hu, Xiatian Zhu, and Mao Ye
@article{dai2020joint,author={Dai, Hanbin and Zhou, Liangbo and Zhang, Feng and Zhang, Zhengyu and Hu, Hong and Zhu, Xiatian and Ye, Mao},journal={arXiv preprint arXiv:2003.07232},title={Joint COCO and Mapillary Workshop at ICCV 2019 keypoint detection challenge track technical report: distribution-aware coordinate representation for human pose estimation},year={2020}}
CVPR
Deep semantic clustering by partition confidence maximisation
Jiabo Huang, Shaogang Gong, and Xiatian Zhu
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Jun 2020
@inproceedings{huang2020deep,author={Huang, Jiabo and Gong, Shaogang and Zhu, Xiatian},booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},pages={8849--8858},title={Deep semantic clustering by partition confidence maximisation},year={2020}}
AAAI
Unsupervised Deep Learning via Affinity Diffusion
Jiabo Huang, Qi Dong, Shaogang Gong, and Xiatian Zhu
In AAAI Conference on Artificial Intelligence Jun 2020
@inproceedings{huang2020unsupervised,author={Huang, Jiabo and Dong, Qi and Gong, Shaogang and Zhu, Xiatian},booktitle={AAAI Conference on Artificial Intelligence},title={Unsupervised Deep Learning via Affinity Diffusion},year={2020}}
AAAI
Neural Graph Embedding for Neural Architecture Search
Wei Li, Shaogang Gong, and Xiatian Zhu
In AAAI Conference on Artificial Intelligence Jun 2020
@inproceedings{li2020neural,author={Li, Wei and Gong, Shaogang and Zhu, Xiatian},booktitle={AAAI Conference on Artificial Intelligence},title={Neural Graph Embedding for Neural Architecture Search},year={2020}}
IJCV
Scalable Person Re-Identification by Harmonious Attention
@article{li2020scalable,author={Li, Wei and Zhu, Xiatian and Gong, Shaogang},journal={International Journal of Computer Vision},title={Scalable Person Re-Identification by Harmonious Attention},year={2020}}
CVPR
Stochastic classifiers for unsupervised domain adaptation
Zhihe Lu, Yongxin Yang, Xiatian Zhu, Cong Liu, Yi-Zhe Song, and Tao Xiang
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Jun 2020
@inproceedings{lu2020stochastic,author={Lu, Zhihe and Yang, Yongxin and Zhu, Xiatian and Liu, Cong and Song, Yi-Zhe and Xiang, Tao},booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},pages={9111--9120},title={Stochastic classifiers for unsupervised domain adaptation},year={2020}}
CVPR
Incremental few-shot object detection
Juan-Manuel Perez-Rua, Xiatian Zhu, Timothy M Hospedales, and Tao Xiang
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Jun 2020
@inproceedings{perez2020incremental,author={Perez-Rua, Juan-Manuel and Zhu, Xiatian and Hospedales, Timothy M and Xiang, Tao},booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},pages={13846--13855},title={Incremental few-shot object detection},year={2020}}
Patent
Target Re-Identification
Shaogang Gong, Xiatian Zhu, Hanxiao Wang, and Xu Lan
@misc{shaogang2020target,author={Gong, Shaogang and Zhu, Xiatian and Wang, Hanxiao and Lan, Xu},month=jul,note={US Patent App. 16/631,629},title={Target Re-Identification},year={2020}}
@article{su2020scalable,author={Su, Hang and Gong, Shaogang and Zhu, Xiatian},journal={Pattern Recognition},pages={107003},publisher={Pergamon},title={Scalable Logo Detection by Self Co-learning},volume={97},year={2020}}
AAAI
Tracklet Self-Supervised Learning for Unsupervised Person Re-Identification
Guile Wu, Xiatian Zhu, and Shaogang Gong
In AAAI Conference on Artificial Intelligence Jul 2020
@inproceedings{wu2020tracklet,author={Wu, Guile and Zhu, Xiatian and Gong, Shaogang},booktitle={AAAI Conference on Artificial Intelligence},title={Tracklet Self-Supervised Learning for Unsupervised Person Re-Identification},year={2020}}
CVPR
Distribution-Aware Coordinate Representation for Human Pose Estimation
Feng Zhang, Xiatian Zhu, Hanbin Dai, Mao Ye, and Ce Zhu
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Jul 2020
@inproceedings{zhang2020distribution,author={Zhang, Feng and Zhu, Xiatian and Dai, Hanbin and Ye, Mao and Zhu, Ce},booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},title={Distribution-Aware Coordinate Representation for Human Pose Estimation},year={2020}}
2019
ICCV
Instance-guided context rendering for cross-domain person re-identification
Yanbei Chen, Xiatian Zhu, and Shaogang Gong
In Proceedings of the IEEE/CVF International Conference on Computer Vision Jul 2019
@inproceedings{chen2019instance,author={Chen, Yanbei and Zhu, Xiatian and Gong, Shaogang},booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},pages={232--242},title={Instance-guided context rendering for cross-domain person re-identification},year={2019}}
ICCV
Person search by text attribute query as zero-shot learning
Qi Dong, Shaogang Gong, and Xiatian Zhu
In Proceedings of the IEEE/CVF International Conference on Computer Vision Jul 2019
@inproceedings{dong2019person,author={Dong, Qi and Gong, Shaogang and Zhu, Xiatian},booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},pages={3652--3661},title={Person search by text attribute query as zero-shot learning},year={2019}}
ICML
Unsupervised Deep Learning by Neighbourhood Discovery
Jiabo Huang, Qi Dong, Shaogang Gong, and Xiatian Zhu
In International Conference on Machine Learning Jul 2019
@inproceedings{huang2019unsupervised,author={Huang, Jiabo and Dong, Qi and Gong, Shaogang and Zhu, Xiatian},booktitle={International Conference on Machine Learning},title={Unsupervised Deep Learning by Neighbourhood Discovery},year={2019}}
@article{lan2019universal,author={Lan, Xu and Zhu, Xiatian and Gong, Shaogang},journal={arXiv preprint arXiv:1907.09511},title={Universal person re-identification},year={2019}}
TPAMI
Unsupervised Tracklet Person Re-Identification
Minxian Li, Xiatian Zhu, and Shaogang Gong
IEEE Transactions on Pattern Analysis and Machine Intelligence Jul 2019
@article{li2019unsupervised,author={Li, Minxian and Zhu, Xiatian and Gong, Shaogang},journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},publisher={IEEE},title={Unsupervised Tracklet Person Re-Identification},year={2019}}
ICIP
Person Re-Identification by Ranking Ensemble Representations
Guile Wu, Xiatian Zhu, and Shaogang Gong
In IEEE International Conference on Image Processing Jul 2019
@inproceedings{wu2019person,author={Wu, Guile and Zhu, Xiatian and Gong, Shaogang},booktitle={IEEE International Conference on Image Processing},title={Person Re-Identification by Ranking Ensemble Representations},year={2019}}
BMVC
Spatio-Temporal Associative Representation for Video Person Re-Identification
@inproceedings{wu2019spatio,author={Wu, Guile and Zhu, Xiatian and Gong, Shaogang},booktitle={British Machine Vision Conference},title={Spatio-Temporal Associative Representation for Video Person Re-Identification},year={2019}}
Efficient human pose estimation in hierarchical context
@article{zhang2019efficient,author={Zhang, Feng and Zhu, Xiatian and Ye, Mao},journal={IEEE Access},pages={29365--29373},publisher={IEEE},title={Efficient human pose estimation in hierarchical context},volume={7},year={2019}}
CVPR
Fast Human Pose Estimation
Feng Zhang, Xiatian Zhu, and Mao Ye
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Jul 2019
@inproceedings{zhang2019fast,author={Zhang, Feng and Zhu, Xiatian and Ye, Mao},booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},pages={3517--3526},title={Fast Human Pose Estimation},year={2019}}
ICCV-W
Intra-Camera Supervised Person Re-Identification: A New Benchmark
Xiangping Zhu, Xiatian Zhu, Minxian Li, Vittorio Murino, and Shaogang Gong
In Workshop of The IEEE International Conference on Computer Vision Jul 2019
@inproceedings{zhu2019intra,author={Zhu, Xiangping and Zhu, Xiatian and Li, Minxian and Murino, Vittorio and Gong, Shaogang},booktitle={Workshop of The IEEE International Conference on Computer Vision},title={Intra-Camera Supervised Person Re-Identification: A New Benchmark},year={2019}}
2018
BMVC
Deep Association Learning for Unsupervised Video Person Re-Identification
@inproceedings{chen2018deep,author={Chen, Yanbei and Zhu, Xiatian and Gong, Shaogang},booktitle={British Machine Vision Conference},title={Deep Association Learning for Unsupervised Video Person Re-Identification},year={2018}}
TPAMI
Person Re-Identification by Camera Correlation Aware Feature Augmentation
Ying-Cong Chen, Xiatian Zhu, Wei-Shi Zheng, and Jian-Huang Lai
IEEE Transactions on Pattern Analysis and Machine Intelligence Jul 2018
@article{chen2018person,author={Chen, Ying-Cong and Zhu, Xiatian and Zheng, Wei-Shi and Lai, Jian-Huang},journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},number={2},pages={392--408},publisher={IEEE},title={Person Re-Identification by Camera Correlation Aware Feature Augmentation},volume={40},year={2018}}
ECCV
Semi-Supervised Deep Learning with Memory
Yanbei Chen, Xiatian Zhu, and Shaogang Gong
In Proceedings of the European Conference on Computer Vision Jul 2018
@inproceedings{chen2018semi,author={Chen, Yanbei and Zhu, Xiatian and Gong, Shaogang},booktitle={Proceedings of the European Conference on Computer Vision},pages={268--283},title={Semi-Supervised Deep Learning with Memory},year={2018}}
@inproceedings{cheng2018low,author={Cheng, Zhiyi and Zhu, Xiatian and Gong, Shaogang},booktitle={Asian Conference on Computer Vision},organization={Springer},pages={605--621},title={Low-Resolution Face Recognition},year={2018}}
TPAMI
Imbalanced Deep Learning by Minority Class Incremental Rectification
Qi Dong, Shaogang Gong, and Xiatian Zhu
IEEE Transactions on Pattern Analysis and Machine Intelligence Jul 2018
@article{dong2018imbalanced,author={Dong, Qi and Gong, Shaogang and Zhu, Xiatian},journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},publisher={IEEE},title={Imbalanced Deep Learning by Minority Class Incremental Rectification},year={2018}}
AAAI
Single-Label Multi-Class Image Classification by Deep Logistic Regression
Qi Dong, Xiatian Zhu, and Shaogang Gong
In Proceedings of AAAI Conference on Artificial Intelligence Jul 2018
@inproceedings{dong2018single,author={Dong, Qi and Zhu, Xiatian and Gong, Shaogang},booktitle={Proceedings of AAAI Conference on Artificial Intelligence},title={Single-Label Multi-Class Image Classification by Deep Logistic Regression},year={2018}}
AAAI
Deep Low-Resolution Person Re-Identification
Jiening Jiao, Wei-Shi Zheng, Ancong Wu, Xiatian Zhu, and Shaogang Gong
In Proceedings of AAAI Conference on Artificial Intelligence Jul 2018
@inproceedings{jiao2018deep,author={Jiao, Jiening and Zheng, Wei-Shi and Wu, Ancong and Zhu, Xiatian and Gong, Shaogang},booktitle={Proceedings of AAAI Conference on Artificial Intelligence},title={Deep Low-Resolution Person Re-Identification},year={2018}}
GCPR
Vehicle Re-Identification in Context
Aytac Kanaci, Xiatian Zhu, and Shaogang Gong
In Proceedings of The German Conference on Pattern Recognition Jul 2018
@inproceedings{kanaci2018vehicle,author={Kanaci, Aytac and Zhu, Xiatian and Gong, Shaogang},booktitle={Proceedings of The German Conference on Pattern Recognition},title={Vehicle Re-Identification in Context},year={2018}}
NeurIPS
Knowledge Distillation by On-the-Fly Native Ensemble
Xu Lan, Xiatian Zhu, and Shaogang Gong
In Annual Conference on Neural Information Processing Systems Jul 2018
@inproceedings{lan2018knowledge,author={Lan, Xu and Zhu, Xiatian and Gong, Shaogang},booktitle={Annual Conference on Neural Information Processing Systems},pages={7527--7537},title={Knowledge Distillation by On-the-Fly Native Ensemble},year={2018}}
ECCV
Person Search by Multi-Scale Matching
Xu Lan, Xiatian Zhu, and Shaogang Gong
In European Conference on Computer Vision Jul 2018
@inproceedings{lan2018person,author={Lan, Xu and Zhu, Xiatian and Gong, Shaogang},booktitle={European Conference on Computer Vision},title={Person Search by Multi-Scale Matching},year={2018}}
@inproceedings{lan2018self,author={Lan, Xu and Zhu, Xiatian and Gong, Shaogang},booktitle={Asian Conference on Computer Vision},title={Self-Referenced Deep Learning},year={2018}}
CVPR
Harmonious Attention Network for Person Re-Identification
Wei Li, Xiatian Zhu, and Shaogang Gong
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Jul 2018
@inproceedings{li2018harmonious,author={Li, Wei and Zhu, Xiatian and Gong, Shaogang},booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},title={Harmonious Attention Network for Person Re-Identification},year={2018}}
ECCV
Unsupervised Person Re-Identification by Deep Learning Tracklet Association
Minxian Li, Xiatian Zhu, and Shaogang Gong
In European Conference on Computer Vision Jul 2018
@inproceedings{li2018unsupervised,author={Li, Minxian and Zhu, Xiatian and Gong, Shaogang},booktitle={European Conference on Computer Vision},title={Unsupervised Person Re-Identification by Deep Learning Tracklet Association},year={2018}}
@inproceedings{su2018open,author={Su, Hang and Zhu, Xiatian and Gong, Shaogang},booktitle={British Machine Vision Conference},title={Open Logo Detection Challenge},year={2018}}
IJCV
Person Re-Identification in Identity Regression Space
Hanxiao Wang, Xiatian Zhu, Shaogang Gong, and Tao Xiang
@article{wang2018person,author={Wang, Hanxiao and Zhu, Xiatian and Gong, Shaogang and Xiang, Tao},journal={International Journal of Computer Vision},title={Person Re-Identification in Identity Regression Space},year={2018}}
CVPR
Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification
Jingya Wang, Xiatian Zhu, Shaogang Gong, and Wei Li
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Jul 2018
@inproceedings{wang2018transferable,author={Wang, Jingya and Zhu, Xiatian and Gong, Shaogang and Li, Wei},booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},title={Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification},year={2018}}
TIP
Fast Open-World Person Re-Identification
Xiatian Zhu, Botong Wu, Dongcheng Huang, and Wei-Shi Zheng
@article{zhu2018fast,author={Zhu, Xiatian and Wu, Botong and Huang, Dongcheng and Zheng, Wei-Shi},journal={IEEE Transactions on Image Processing},number={5},pages={2286--2300},publisher={IEEE},title={Fast Open-World Person Re-Identification},volume={27},year={2018}}
2017
ICCV-W
Person Re-Identification by Deep Learning Multi-Scale Representations
Yanbei Chen, Xiatian Zhu, and Shaogang Gong
In Workshop of The IEEE International Conference on Computer Vision Jul 2017
@inproceedings{chen2017person,author={Chen, Yanbei and Zhu, Xiatian and Gong, Shaogang},booktitle={Workshop of The IEEE International Conference on Computer Vision},title={Person Re-Identification by Deep Learning Multi-Scale Representations},year={2017}}
ICCV
Class Rectification Hard Mining for Imbalanced Deep Learning
Qi Dong, Shaogang Gong, and Xiatian Zhu
In Proceedings of IEEE International Conference on Computer Vision Jul 2017
@inproceedings{dong2017class,author={Dong, Qi and Gong, Shaogang and Zhu, Xiatian},booktitle={Proceedings of IEEE International Conference on Computer Vision},title={Class Rectification Hard Mining for Imbalanced Deep Learning},year={2017}}
WACV
Multi-Task Curriculum Transfer Deep Learning of Clothing Attributes
Qi Dong, Shaogang Gong, and Xiatian Zhu
In IEEE Winter Conference on Applications of Computer Vision Jul 2017
@inproceedings{dong2017multi,author={Dong, Qi and Gong, Shaogang and Zhu, Xiatian},booktitle={IEEE Winter Conference on Applications of Computer Vision},pages={520--529},title={Multi-Task Curriculum Transfer Deep Learning of Clothing Attributes},year={2017}}
BMVC-W
Vehicle Re-Identification by Fine-Grained Cross-Level Deep Learning
Aytaç Kanacı, Xiatian Zhu, and Shaogang Gong
In Workshop at British Machine Vision Conference Jul 2017
@inproceedings{kanaci2017vehicle,author={Kanac{\i}, Ayta{\c{c}} and Zhu, Xiatian and Gong, Shaogang},booktitle={Workshop at British Machine Vision Conference},title={Vehicle Re-Identification by Fine-Grained Cross-Level Deep Learning},year={2017}}
BMVC
Deep Reinforcement Learning Attention Selection for Person Re-Identification
Xu Lan, Hanxiao Wang, Shaogang Gong, and Xiatian Zhu
In Proceedings of British Machine Vision Conference Jul 2017
@inproceedings{lan2017deep,author={Lan, Xu and Wang, Hanxiao and Gong, Shaogang and Zhu, Xiatian},booktitle={Proceedings of British Machine Vision Conference},title={Deep Reinforcement Learning Attention Selection for Person Re-Identification},year={2017}}
IJCAI
Person Re-Identification by Deep Joint Learning of Multi-Loss Classification
Wei Li, Xiatian Zhu, and Shaogang Gong
In International Joint Conference on Artificial Intelligence Jul 2017
@inproceedings{li2017person,author={Li, Wei and Zhu, Xiatian and Gong, Shaogang},booktitle={International Joint Conference on Artificial Intelligence},title={Person Re-Identification by Deep Joint Learning of Multi-Loss Classification},year={2017}}
PR
Person Re-Identification by Unsupervised Video Matching
@article{ma2017person,author={Ma, Xiaolong and Zhu, Xiatian and Gong, Shaogang and Xie, Xudong and Hu, Jianming and Lam, Kin-Man and Zhong, Yisheng},journal={Pattern Recognition},pages={197--210},publisher={Pergamon},title={Person Re-Identification by Unsupervised Video Matching},volume={65},year={2017}}
WACV
Deep Learning Logo Detection with Data Expansion by Synthesising Context
Hang Su, Xiatian Zhu, and Shaogang Gong
In IEEE Winter Conference on Applications of Computer Vision Jul 2017
@inproceedings{su2017deep,author={Su, Hang and Zhu, Xiatian and Gong, Shaogang},booktitle={IEEE Winter Conference on Applications of Computer Vision},organization={IEEE},pages={530--539},title={Deep Learning Logo Detection with Data Expansion by Synthesising Context},year={2017}}
ICCV-W
Weblogo-2M: Scalable Logo Detection by Deep Learning from the Web
Hang Su, Shaogang Gong, and Xiatian Zhu
In Workshop of IEEE International Conference on Computer Vision Jul 2017
author = {Su, Hang and Gong, Shaogang and Zhu, Xiatian},booktitle = {Workshop of IEEE International Conference on Computer Vision},pages = {270--279},year = {2017}}
ICCV
Attribute Recognition by Joint Recurrent Learning of Context and Correlation
Jingya Wang, Xiatian Zhu, Shaogang Gong, and Wei Li
In IEEE International Conference on Computer Vision Jul 2017
@inproceedings{wang2017attribute,author={Wang, Jingya and Zhu, Xiatian and Gong, Shaogang and Li, Wei},booktitle={IEEE International Conference on Computer Vision},title={Attribute Recognition by Joint Recurrent Learning of Context and Correlation},year={2017}}
AI
Discovering Visual Concept Structure with Sparse and Incomplete Tags
@article{wang2017discovering,author={Wang, Jingya and Zhu, Xiatian and Gong, Shaogang},journal={Artificial Intelligence},pages={16--36},publisher={Elsevier},title={Discovering Visual Concept Structure with Sparse and Incomplete Tags},volume={250},year={2017}}
2016
ECCV
Human-In-The-Loop Person Re-Identification
Hanxiao Wang, Shaogang Gong, Xiatian Zhu, and Tao Xiang
In European Conference on Computer Vision Jul 2016
@inproceedings{wang2016human,author={Wang, Hanxiao and Gong, Shaogang and Zhu, Xiatian and Xiang, Tao},booktitle={European Conference on Computer Vision},pages={405--422},title={Human-In-The-Loop Person Re-Identification},year={2016}}
TPAMI
Person Re-Identification by Discriminative Selection in Video Ranking
Taiqing Wang, Shaogang Gong, Xiatian Zhu, and Shengjin Wang
IEEE Transactions on Pattern Analysis and Machine Intelligence Jul 2016
@article{wang2016person,author={Wang, Taiqing and Gong, Shaogang and Zhu, Xiatian and Wang, Shengjin},journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},publisher={IEEE},title={Person Re-Identification by Discriminative Selection in Video Ranking},year={2016}}
ICIP
Towards Unsupervised Open-Set Person Re-Identification
Hanxiao Wang, Xiatian Zhu, Tao Xiang, and Shaogang Gong
In IEEE International Conference on Image Processing Jul 2016
@inproceedings{wang2016towards,author={Wang, Hanxiao and Zhu, Xiatian and Xiang, Tao and Gong, Shaogang},booktitle={IEEE International Conference on Image Processing},title={Towards Unsupervised Open-Set Person Re-Identification},year={2016}}
AAAI
Video Semantic Clustering with Sparse and Incomplete Tags
Jingya Wang, Xiatian Zhu, and Shaogang Gong
In AAAI Conference on Artificial Intelligence Jul 2016
@inproceedings{wang2016video,author={Wang, Jingya and Zhu, Xiatian and Gong, Shaogang},booktitle={AAAI Conference on Artificial Intelligence},pages={3618--3624},title={Video Semantic Clustering with Sparse and Incomplete Tags},year={2016}}
IJCV
Learning from Multiple Sources for Video Summarisation
@article{zhu2016learning,author={Zhu, Xiatian and Loy, Chen Change and Gong, Shaogang},journal={International Journal of Computer Vision},number={3},pages={247--268},publisher={Springer US},title={Learning from Multiple Sources for Video Summarisation},volume={117},year={2016}}
PhD Thesis
Semantic Structure Discovery in Surveillance Videos
@article{zhu2015constrained,author={Zhu, Xiatian and Loy, Chen Change and Gong, Shaogang},journal={Neural Networks and Learning Systems, IEEE Transactions on},title={Constrained Clustering With Imperfect Oracles},year={2015}}
2014
ECCV
Person Re-Identification by Video Ranking
Taiqing Wang, Shaogang Gong, Xiatian Zhu, and Shengjin Wang
In European Conference on Computer Vision Jul 2014
@inproceedings{wang2014person,author={Wang, Taiqing and Gong, Shaogang and Zhu, Xiatian and Wang, Shengjin},booktitle={European Conference on Computer Vision},title={Person Re-Identification by Video Ranking},year={2014}}
CVPR
Constructing Robust Affinity Graphs for Spectral Clustering
Xiatian Zhu, Chen Change Loy, and Shaogang Gong
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Jul 2014
@inproceedings{zhu2014constructing,author={Zhu, Xiatian and Loy, Chen Change and Gong, Shaogang},booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},pages={1450--1457},title={Constructing Robust Affinity Graphs for Spectral Clustering},year={2014}}
2013
ICDM
Constrained Clustering: Effective Constraint Propagation with Imperfect Oracles
Xiatian Zhu, Chen Change Loy, and Shaogang Gong
In The IEEE International Conference on Data Mining Jul 2013
@inproceedings{zhu2013constrained,author={Zhu, Xiatian and Loy, Chen Change and Gong, Shaogang},booktitle={The IEEE International Conference on Data Mining},organization={IEEE},title={Constrained Clustering: Effective Constraint Propagation with Imperfect Oracles},year={2013}}
ICCV
Video Synopsis by Heterogeneous Multi-Source Correlation
Xiatian Zhu, Chen Change Loy, and Shaogang Gong
In IEEE International Conference on Computer Vision Jul 2013
@inproceedings{zhu2013video,author={Zhu, Xiatian and Loy, Chen Change and Gong, Shaogang},booktitle={IEEE International Conference on Computer Vision},organization={IEEE},title={Video Synopsis by Heterogeneous Multi-Source Correlation},year={2013}}
2012
BMVC
Comparing Visual Feature Coding for Learning Disjoint Camera Dependencies
@inproceedings{zhu2012comparing,author={Zhu, Xiatian and Gong, Shaogang and Loy, Chen Change},booktitle={British Machine Vision Conference},title={Comparing Visual Feature Coding for Learning Disjoint Camera Dependencies},year={2012}}