Zhou, Daquan

Coordinate Attention for Efficient Mobile Network Design

Hou, Q., Zhou, D., & Feng, J. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 6,961

DeepViT: Towards Deeper Vision Transformer

Zhou, D., Kang, B., Jin, X., Yang, L., Lian, X., Jiang, Z., Hou, Q., & Feng, J. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 398

Rethinking Bottleneck Structure for Efficient Mobile Network Design

Zhou, D., Hou, Q., Chen, Y., Feng, J., & Yan, S. (2020) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 292

All Tokens Matter: Token Labeling for Training Better Vision Transformers

Jiang, Z., Hou, Q., Yuan, L., Zhou, D., Shi, Y., Jin, X., Wang, A., & Feng, J. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 158

MagicVideo: Efficient Video Generation With Latent Diffusion Models

Zhou, D., Wang, W., Yan, H., Lv, W., Zhu, Y., & Feng, J. (2022) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 82

StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation

Zhou, Y., Zhou, D., Cheng, M.-M., Feng, J., & Hou, Q. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 35