| Incorporating convolution designs into visual transformers K Yuan, S Guo, Z Liu, A Zhou, F Yu, W Wu Proceedings of the IEEE/CVF international conference on computer vision, 579-588, 2021 | 629 | 2021 |
| Poi: Multiple object tracking with high performance detection and appearance feature F Yu, W Li, Q Li, Y Liu, X Shi, J Yan Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016 | 589 | 2016 |
| Differentiable soft quantization: Bridging full-precision and low-bit neural networks R Gong, X Liu, S Jiang, T Li, P Hu, J Lin, F Yu, J Yan Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 557 | 2019 |
| Supervision exists everywhere: A data efficient contrastive language-image pre-training paradigm Y Li, F Liang, L Zhao, Y Cui, W Ouyang, J Shao, F Yu, J Yan arXiv preprint arXiv:2110.05208, 2021 | 486 | 2021 |
| Brecq: Pushing the limit of post-training quantization by block reconstruction Y Li, R Gong, X Tan, Y Yang, P Hu, Q Zhang, F Yu, W Wang, S Gu arXiv preprint arXiv:2102.05426, 2021 | 449 | 2021 |
| Forward and backward information retention for accurate binary neural networks H Qin, R Gong, X Liu, M Shen, Z Wei, F Yu, J Song Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 398 | 2020 |
| Towards unified int8 training for convolutional neural network F Zhu, R Gong, F Yu, X Liu, Y Wang, Z Li, X Yang, J Yan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 209 | 2020 |
| Qdrop: Randomly dropping quantization for extremely low-bit post-training quantization X Wei, R Gong, Y Li, X Liu, F Yu arXiv preprint arXiv:2203.05740, 2022 | 163 | 2022 |
| Outlier suppression: Pushing the limit of low-bit transformer language models X Wei, Y Zhang, X Zhang, R Gong, S Zhang, Q Zhang, F Yu, X Liu Advances in Neural Information Processing Systems 35, 17402-17414, 2022 | 142 | 2022 |
| Equalized focal loss for dense long-tailed object detection B Li, Y Yao, J Tan, G Zhang, F Yu, J Lu, Y Luo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 133 | 2022 |
| Robustart: Benchmarking robustness on architecture design and training techniques S Tang, R Gong, Y Wang, A Liu, J Wang, X Chen, F Yu, X Liu, D Song, ... arXiv preprint arXiv:2109.05211, 2021 | 111 | 2021 |
| Diversifying sample generation for accurate data-free quantization X Zhang, H Qin, Y Ding, R Gong, Q Yan, R Tao, Y Li, F Yu, X Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 105 | 2021 |
| Unihcp: A unified model for human-centric perceptions Y Ci, Y Wang, M Chen, S Tang, L Bai, F Zhu, R Zhao, F Yu, D Qi, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 63 | 2023 |
| MQBench: Towards reproducible and deployable model quantization benchmark Y Li, M Shen, J Ma, Y Ren, M Zhao, Q Zhang, R Gong, F Yu, J Yan arXiv preprint arXiv:2111.03759, 2021 | 56 | 2021 |
| Once quantization-aware training: High performance extremely low-bit architecture search M Shen, F Liang, R Gong, Y Li, C Li, C Lin, F Yu, J Yan, W Ouyang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 45 | 2021 |
| Intern: A new learning paradigm towards general vision J Shao, S Chen, Y Li, K Wang, Z Yin, Y He, J Teng, Q Sun, M Gao, J Liu, ... arXiv preprint arXiv:2111.08687, 2021 | 37 | 2021 |
| Mixmix: All you need for data-free compression are feature and data mixing Y Li, F Zhu, R Gong, M Shen, X Dong, F Yu, S Lu, S Gu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 37* | 2021 |
| Extremely low-bit convolution optimization for quantized neural network on modern computer architectures Q Han, Y Hu, F Yu, H Yang, B Liu, P Hu, R Gong, Y Wang, R Wang, ... Proceedings of the 49th International Conference on Parallel Processing, 1-12, 2020 | 35 | 2020 |
| Efficient bitwidth search for practical mixed precision neural network Y Li, W Wang, H Bai, R Gong, X Dong, F Yu arXiv preprint arXiv:2003.07577, 2020 | 18 | 2020 |
| The equalization losses: Gradient-driven training for long-tailed object recognition J Tan, B Li, X Lu, Y Yao, F Yu, T He, W Ouyang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (11 …, 2023 | 15 | 2023 |
Ruihao Gong (龚睿昊)Beihang University, SenseTimeยืนยันอีเมลแล้วที่ buaa.edu.cn