| Coordinate attention for efficient mobile network design Q Hou, D Zhou, J Feng CVPR2021, 2021 | 4287 | 2021 |
| Panet: Few-shot image semantic segmentation with prototype alignment K Wang, JH Liew, Y Zou, D Zhou, J Feng proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 1346 | 2019 |
| Deepvit: Towards deeper vision transformer D Zhou, B Kang, X Jin, L Yang, X Lian, Z Jiang, Q Hou, J Feng arXiv preprint arXiv:2103.11886, 2021 | 637 | 2021 |
| Magicvideo: Efficient video generation with latent diffusion models D Zhou, W Wang, H Yan, W Lv, Y Zhu, J Feng arXiv preprint arXiv:2211.11018, 2022 | 288 | 2022 |
| Rethinking bottleneck structure for efficient mobile network design D Zhou, Q Hou, Y Chen, J Feng, S Yan Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 281 | 2020 |
| Shunted self-attention via multi-scale token aggregation S Ren, D Zhou, S He, J Feng, X Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 270 | 2022 |
| Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning D Lian, D Zhou, J Feng, X Wang NeurIPS22, 2022 | 216 | 2022 |
| All tokens matter: Token labeling for training better vision transformers ZH Jiang, Q Hou, L Yuan, D Zhou, Y Shi, X Jin, A Wang, J Feng Advances in neural information processing systems 34, 18590-18602, 2021 | 214 | 2021 |
| Convbert: Improving bert with span-based dynamic convolution Z Jiang, W Yu, D Zhou, Y Chen, J Feng, S Yan NeurIPS2020, 2020 | 198 | 2020 |
| Understanding The Robustness in Vision Transformers D Zhou, Z Yu, E Xie, C Xiao, A Anandkumar, J Feng, JM Alvarez ICML2022, 2022 | 192 | 2022 |
| MBEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation E Xie, Z Yu, D Zhou, J Philion, A Anandkumar, S Fidler, P Luo, JM Alvarez arXiv preprint arXiv:2204.05088, 2022 | 179 | 2022 |
| Deep Model Reassembly X Yang, Z Daquan, S Liu, J Ye, X Wang NeurIPS 2022, 2022 | 145 | 2022 |
| Progressive tandem learning for pattern recognition with deep spiking neural networks J Wu, C Xu, X Han, D Zhou, M Zhang, H Li, KC Tan IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 7824 …, 2021 | 134 | 2021 |
| Diffusion probabilistic model made slim X Yang, D Zhou, J Feng, X Wang Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2023 | 93 | 2023 |
| Sharpness-aware training for free J Du, D Zhou, J Feng, V Tan, JT Zhou Advances in Neural Information Processing Systems 35, 23439-23451, 2022 | 89 | 2022 |
| Bubogpt: Enabling visual grounding in multi-modal llms Y Zhao, Z Lin, D Zhou, Z Huang, J Feng, B Kang arXiv preprint arXiv:2307.08581, 2023 | 84 | 2023 |
| Refiner: Refining self-attention for vision transformers D Zhou, Y Shi, B Kang, W Yu, Z Jiang, Y Li, X Jin, Q Hou, J Feng arXiv preprint arXiv:2106.03714, 2021 | 71 | 2021 |
| Pllava: Parameter-free llava extension from images to videos for video dense captioning L Xu, Y Zhao, D Zhou, Z Lin, SK Ng, J Feng arXiv preprint arXiv:2404.16994, 2024 | 57 | 2024 |
| Token labeling: Training a 85.5% top-1 accuracy vision transformer with 56m parameters on imagenet Z Jiang, Q Hou, L Yuan, D Zhou, X Jin, A Wang, J Feng arXiv preprint arXiv:2104.10858 3 (6), 7, 2021 | 55 | 2021 |
| Coordinate attention for efficient mobile network design. arXiv 2021 Q Hou, D Zhou, J Feng arXiv preprint arXiv:2103.02907, 2021 | 53 | 2021 |
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