| Channel pruning for accelerating very deep neural networks Y He, X Zhang, J Sun Proceedings of the IEEE international conference on computer vision, 1389-1397, 2017 | 3157 | 2017 |
| Amc: Automl for model compression and acceleration on mobile devices Y He, J Lin, Z Liu, H Wang, LJ Li, S Han Proceedings of the European conference on computer vision (ECCV), 784-800, 2018 | 1672 | 2018 |
| Feature selective anchor-free module for single-shot object detection C Zhu, Y He, M Savvides Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1088 | 2019 |
| Bounding box regression with uncertainty for accurate object detection Y He, C Zhu, J Wang, M Savvides, X Zhang Proceedings of the ieee/cvf conference on computer vision and pattern …, 2019 | 619 | 2019 |
| Epipolar transformers Y He, R Yan, K Fragkiadaki, SI Yu Proceedings of the ieee/cvf conference on computer vision and pattern …, 2020 | 203 | 2020 |
| Softer-nms: Rethinking bounding box regression for accurate object detection Y He, X Zhang, M Savvides, K Kitani arXiv preprint arXiv:1809.08545 2 (3), 69-80, 2018 | 105 | 2018 |
| Adc: Automated deep compression and acceleration with reinforcement learning Y He, S Han arXiv preprint arXiv:1802.03494 2, 2018 | 94 | 2018 |
| Mobinet: A mobile binary network for image classification H Phan, Y He, M Savvides, Z Shen Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 65 | 2020 |
| Addressnet: Shift-based primitives for efficient convolutional neural networks Y He, X Liu, H Zhong, Y Ma 2019 IEEE Winter conference on applications of computer vision (WACV), 1213-1222, 2019 | 30 | 2019 |
| Shift-based primitives for efficient convolutional neural networks H Zhong, X Liu, Y He, Y Ma arXiv preprint arXiv:1809.08458, 2018 | 26 | 2018 |
| Vehicle traffic driven camera placement for better metropolis security surveillance Y He, X Ma, X Luo, J Li, M Zhao, B An, X Guan arXiv preprint arXiv:1705.08508, 2017 | 26 | 2017 |
| Deep mixture density network for probabilistic object detection Y He, J Wang 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 18 | 2020 |
| Depth-wise decomposition for accelerating separable convolutions in efficient convolutional neural networks Y He, J Qian, J Wang, CX Le, C Hetang, Q Lyu, W Wang, T Yue arXiv preprint arXiv:1910.09455, 2019 | 17 | 2019 |
| Camera placement based on vehicle traffic for better city security surveillance X Ma, Y He, X Luo, J Li, M Zhao, B An, X Guan IEEE Intelligent Systems 33 (4), 49-61, 2018 | 17 | 2018 |
| Epipolar transformer for multi-view human pose estimation Y He, R Yan, K Fragkiadaki, SI Yu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 16 | 2020 |
| Prediction-tracking-segmentation J Wang, Y He, X Wang, X Yu, X Chen arXiv preprint arXiv:1904.03280, 2019 | 14 | 2019 |
| Single image super-resolution via a lightweight residual convolutional neural network Y Liang, Z Yang, K Zhang, Y He, J Wang, N Zheng arXiv preprint arXiv:1703.08173, 2017 | 13 | 2017 |
| Estimated depth map helps image classification Y He arXiv preprint arXiv:1709.07077, 2017 | 9 | 2017 |
| Motion prediction in visual object tracking J Wang, Y He 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 8 | 2020 |
| Physics-aware 3d mesh synthesis J Wang, Y He 2019 International Conference on 3D Vision (3DV), 502-512, 2019 | 8 | 2019 |
Xiangyu ZhangCo-founder & Chief Scientist of StepFunBestätigte E-Mail-Adresse bei megvii.com
