| 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 | 345 | 2019 |
| Coordinate attention for efficient mobile network design Q Hou, D Zhou, J Feng CVPR2021, 2021 | 326 | 2021 |
| 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 | 146 | 2021 |
| Rethinking bottleneck structure for efficient mobile network design D Zhou, Q Hou, Y Chen, J Feng, S Yan European Conference on Computer Vision, 680-697, 2020 | 63 | 2020 |
| Convbert: Improving bert with span-based dynamic convolution Z Jiang, W Yu, D Zhou, Y Chen, J Feng, S Yan NeurIPS2020, 2020 | 59 | 2020 |
| 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 | 44 | 2021 |
| 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 | 35 | 2021 |
| 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, 2021 | 24 | 2021 |
| Neural epitome search for architecture-agnostic network compression D Zhou, X Jin, Q Hou, K Wang, J Yang, J Feng ICLR2020, 2019 | 13* | 2019 |
| Coordinate attention for efficient mobile network design. arXiv 2021 Q Hou, D Zhou, J Feng arXiv preprint arXiv:2103.02907, 2021 | 12 | 2021 |
| 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 | 11 | 2022 |
| M^ 2BEV: 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 | 6 | 2022 |
| Understanding The Robustness in Vision Transformers D Zhou, Z Yu, E Xie, C Xiao, A Anandkumar, J Feng, JM Alvarez ICML2022 (preprint version), 2022 | 5 | 2022 |
| Velocity-to-velocity human motion forecasting H Wang, L Wang, J Feng, D Zhou Pattern Recognition 124, 108424, 2022 | 1 | 2022 |
| Sharpness-Aware Training for Free J Du, D Zhou, J Feng, VYF Tan, JT Zhou arXiv preprint arXiv:2205.14083, 2022 | | 2022 |
| Refiner: refining self-attention for vision transformers JF Daquan Zhou, Yujun Shi, Bingyi Kang, Weihao Yu, Zihang Jiang, Yuan Li ... arXiv preprint arXiv:2106.03714, 2021 | | 2021 |
| AutoSpace: Neural Architecture Search with Less Human Interference D Zhou, X Jin, X Lian, L Yang, Y Xue, Q Hou, J Feng ICCV2021 Conference paper, 2021 | | 2021 |
| Understanding The Robustness in Vision Transformers Download PDF D Zhou, Z Yu, E Xie, C Xiao, A Anandkumar, J Feng, JM Alvarez | | |
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