David Junhao Zhang

According to our database, David Junhao Zhang authored at least 15 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

DragAnything: Motion Control for Anything using Entity Representation.

Weijia Wu, Zhuang Li, Yuchao Gu, Rui Zhao, Yefei He, David Junhao Zhang, Mike Zheng Shou, Yan Li, Tingting Gao, Di Zhang

CoRR, 2024

Towards A Better Metric for Text-to-Video Generation.

Jay Zhangjie Wu, Guian Fang, Haoning Wu, Xintao Wang, Yixiao Ge, Xiaodong Cun, David Junhao Zhang, Jia-Wei Liu, Yuchao Gu, Rui Zhao, Weisi Lin, Wynne Hsu, Ying Shan, Mike Zheng Shou

CoRR, 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

2023

VideoSwap: Customized Video Subject Swapping with Interactive Semantic Point Correspondence.

Yuchao Gu, Yipin Zhou, Bichen Wu, Licheng Yu, Jia-Wei Liu, Rui Zhao, Jay Zhangjie Wu, David Junhao Zhang, Mike Zheng Shou, Kevin Tang

CoRR, 2023

MotionDirector: Motion Customization of Text-to-Video Diffusion Models.

Rui Zhao, Yuchao Gu, Jay Zhangjie Wu, David Junhao Zhang, Jiawei Liu, Weijia Wu, Jussi Keppo, Mike Zheng Shou

CoRR, 2023

Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation.

David Junhao Zhang, Jay Zhangjie Wu, Jia-Wei Liu, Rui Zhao, Lingmin Ran, Yuchao Gu, Difei Gao, Mike Zheng Shou

CoRR, 2023

Dataset Condensation via Generative Model.

David Junhao Zhang, Heng Wang, Chuhui Xue, Rui Yan, Wenqing Zhang, Song Bai, Mike Zheng Shou

CoRR, 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, Song Bai, Mike Zheng Shou

CoRR, 2023

Label-Efficient Online Continual Object Detection in Streaming Video.

Jay Zhangjie Wu, David Junhao Zhang, Wynne Hsu, Mengmi Zhang, Mike Zheng Shou

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Making Vision Transformers Efficient from A Token Sparsification View.

Shuning Chang, Pichao Wang, Ming Lin, Fan Wang, David Junhao Zhang, Rong Jin, Mike Zheng Shou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MorphMLP: An Efficient MLP-Like Backbone for Spatial-Temporal Representation Learning.

David Junhao Zhang, Kunchang Li, Yali Wang, Yunpeng Chen, Shashwat Chandra, Yu Qiao, Luoqi Liu, Mike Zheng Shou

Proceedings of the Computer Vision - ECCV 2022, 2022

Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition.

Mingfei Han, David Junhao Zhang, Yali Wang, Rui Yan, Lina Yao, Xiaojun Chang, Yu Qiao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

MorphMLP: A Self-Attention Free, MLP-Like Backbone for Image and Video.

David Junhao Zhang, Kunchang Li, Yunpeng Chen, Yali Wang, Shashwat Chandra, Yu Qiao, Luoqi Liu, Mike Zheng Shou

CoRR, 2021