MorphMLP: A Self-Attention Free, MLP-Like Backbone for Image and Video. - David Junhao Zhang; Kunchang Li 002; Yunpeng Chen; Yali Wang 001; Shashwat Chandra; Yu Qiao 001; Luoqi Liu; Mike Zheng Shou (CoRR, 2021)

Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition. - Mingfei Han 002; David Junhao Zhang; Yali Wang 001; Rui Yan; Lina Yao 001; Xiaojun Chang; Yu Qiao 001 (CVPR, 2022)

MorphMLP: An Efficient MLP-Like Backbone for Spatial-Temporal Representation Learning. - David Junhao Zhang; Kunchang Li 002; Yali Wang 001; Yunpeng Chen; Shashwat Chandra; Yu Qiao 001; Luoqi Liu; Mike Zheng Shou (ECCV (35), 2022)

DeVRF: Fast Deformable Voxel Radiance Fields for Dynamic Scenes. - Jiawei Liu; Yan-Pei Cao; Weijia Mao; Wenqiao Zhang; David Junhao Zhang; Jussi Keppo; Ying Shan; Xiaohu Qie; Mike Zheng Shou (NeurIPS, 2022)

Making Vision Transformers Efficient from A Token Sparsification View. - Shuning Chang; Pichao Wang; Ming Lin 002; Fan Wang 019; David Junhao Zhang; Rong Jin 001; Mike Zheng Shou (CVPR, 2023)

Too Large; Data Reduction for Vision-Language Pre-Training. - Alex Jinpeng Wang; Kevin Qinghong Lin; David Junhao Zhang; Stan Weixian Lei; Mike Zheng Shou (ICCV, 2023)

Label-Efficient Online Continual Object Detection in Streaming Video. - Jay Zhangjie Wu; David Junhao Zhang; Wynne Hsu; Mengmi Zhang; Mike Zheng Shou (ICCV, 2023)

Free-ATM: Exploring Unsupervised Learning on Diffusion-Generated Images with Free Attention Masks. - David Junhao Zhang; Mutian Xu; Chuhui Xue; Wenqing Zhang; Xiaoguang Han 001; Song Bai 001; Mike Zheng Shou (CoRR, 2023)

Dataset Condensation via Generative Model. - David Junhao Zhang; Heng Wang; Chuhui Xue; Rui Yan 001; Wenqing Zhang; Song Bai 001; Mike Zheng Shou (CoRR, 2023)

MotionDirector: Motion Customization of Text-to-Video Diffusion Models. - Rui Zhao 001; Yuchao Gu; Jay Zhangjie Wu; David Junhao Zhang; Jiawei Liu; Weijia Wu 001; Jussi Keppo; Mike Zheng Shou (CoRR, 2023)

VideoSwap: Customized Video Subject Swapping with Interactive Semantic Point Correspondence. - Yuchao Gu; Yipin Zhou; Bichen Wu; Licheng Yu; Jia-Wei Liu; Rui Zhao 001; Jay Zhangjie Wu; David Junhao Zhang; Mike Zheng Shou; Kevin Tang (CVPR, 2024)

DragAnything: Motion Control for Anything Using Entity Representation. - Weijia Wu 001; Zhuang Li 002; Yuchao Gu; Rui Zhao 001; Yefei He; David Junhao Zhang; Mike Zheng Shou; Yan Li; Tingting Gao; Di Zhang (ECCV (22), 2024)

Free-ATM: Harnessing Free Attention Masks for Representation Learning on Diffusion-Generated Images. - David Junhao Zhang; Mutian Xu; Jay Zhangjie Wu; Chuhui Xue; Wenqing Zhang; Xiaoguang Han 001; Song Bai 001; Mike Zheng Shou (ECCV (40), 2024)

MotionDirector: Motion Customization of Text-to-Video Diffusion Models. - Rui Zhao 001; Yuchao Gu; Jay Zhangjie Wu; David Junhao Zhang; Jia-Wei Liu; Weijia Wu 001; Jussi Keppo; Mike Zheng Shou (ECCV (56), 2024)

EvolveDirector: Approaching Advanced Text-to-Image Generation with Large Vision-Language Models. - Rui Zhao 001; Hangjie Yuan; Yujie Wei 001; Shiwei Zhang 001; Yuchao Gu; Lingmin Ran; Xiang Wang 012; Jay Zhangjie Wu; David Junhao Zhang; Yingya Zhang; Mike Zheng Shou (NeurIPS, 2024)

Moonshot: Towards Controllable Video Generation and Editing with Multimodal Conditions. - David Junhao Zhang; Dongxu Li; Hung Le; Mike Zheng Shou; Caiming Xiong; Doyen Sahoo (CoRR, 2024)

Towards A Better Metric for Text-to-Video Generation. - Jay Zhangjie Wu; Guian Fang; Haoning Wu 001; Xintao Wang 002; Yixiao Ge; Xiaodong Cun; David Junhao Zhang; Jia-Wei Liu; Yuchao Gu; Rui Zhao 001; Weisi Lin; Wynne Hsu; et al. (CoRR, 2024)

MixEval-X: Any-to-Any Evaluations from Real-World Data Mixtures. - Jinjie Ni; Yifan Song; Deepanway Ghosal; Bo Li; David Junhao Zhang; Xiang Yue; Fuzhao Xue; Zian Zheng 001; Kaichen Zhang; Mahir Shah; Kabir Jain; Yang You 001; et al. (CoRR, 2024)

ReCapture: Generative Video Camera Controls for User-Provided Videos using Masked Video Fine-Tuning. - David Junhao Zhang; Roni Paiss; Shiran Zada; Nikhil Karnad; David E. Jacobs; Yael Pritch; Inbar Mosseri; Mike Zheng Shou; Neal Wadhwa; Nataniel Ruiz (CVPR, 2025)

MixEval-X: Any-to-any Evaluations from Real-world Data Mixture. - Jinjie Ni; Yifan Song; Deepanway Ghosal; Bo Li; David Junhao Zhang; Xiang Yue; Fuzhao Xue; Yuntian Deng; Zian Zheng 001; Kaichen Zhang; Mahir Shah; Kabir Jain; et al. (ICLR, 2025)

Show-o: One Single Transformer to Unify Multimodal Understanding and Generation. - Jinheng Xie; Weijia Mao; Zechen Bai; David Junhao Zhang; Weihao Wang; Kevin Qinghong Lin; Yuchao Gu; Zhijie Chen; Zhenheng Yang; Mike Zheng Shou (ICLR, 2025)

Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation. - David Junhao Zhang; Jay Zhangjie Wu; Jia-Wei Liu; Rui Zhao 001; Lingmin Ran; Yuchao Gu; Difei Gao; Mike Zheng Shou (Int. J. Comput. Vis., 2025)

DD-Ranking: Rethinking the Evaluation of Dataset Distillation. - Zekai Li; Xinhao Zhong; Samir Khaki; Zhiyuan Liang; Yuhao Zhou; Mingjia Shi; Ziqiao Wang; Xuanlei Zhao; Wangbo Zhao; Ziheng Qin; Mengxuan Wu; Pengfei Zhou; et al. (CoRR, 2025)

Follow-Your-Creation: Empowering 4D Creation through Video Inpainting. - Yue Ma; Kunyu Feng; Xinhua Zhang; Hongyu Liu; David Junhao Zhang; Jinbo Xing; Yinhan Zhang; Ayden Yang; Zeyu Wang; Qifeng Chen (CoRR, 2025)

MoonShot: Towards Controllable Video Generation and Editing with Motion-Aware Multimodal Conditions. - David Junhao Zhang; Dongxu Li; Hung Le; Mike Zheng Shou; Caiming Xiong; Doyen Sahoo (Int. J. Comput. Vis., 2025)