| Going deeper with embedded fpga platform for convolutional neural network J Qiu, J Wang, S Yao, K Guo, B Li, E Zhou, J Yu, T Tang, N Xu, S Song, ... Proceedings of the 2016 ACM/SIGDA International Symposium on Field …, 2016 | 1497 | 2016 |
| High-order information matters: Learning relation and topology for occluded person re-identification G Wang, S Yang, H Liu, Z Wang, Y Yang, S Wang, G Yu, E Zhou, J Sun Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 499 | 2020 |
| Extensive facial landmark localization with coarse-to-fine convolutional network cascade E Zhou, H Fan, Z Cao, Y Jiang, Q Yin Proceedings of the IEEE International Conference on Computer Vision …, 2013 | 469 | 2013 |
| Tokenpose: Learning keypoint tokens for human pose estimation Y Li, S Zhang, Z Wang, S Yang, W Yang, ST Xia, E Zhou Proceedings of the IEEE/CVF International conference on computer vision …, 2021 | 315 | 2021 |
| Dpgn: Distribution propagation graph network for few-shot learning L Yang, L Li, Z Zhang, X Zhou, E Zhou, Y Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 270 | 2020 |
| Naive-deep face recognition: Touching the limit of LFW benchmark or not? E Zhou, Z Cao, Q Yin arXiv preprint arXiv:1501.04690, 2015 | 260 | 2015 |
| Learning delicate local representations for multi-person pose estimation Y Cai, Z Wang, Z Luo, B Yin, A Du, H Wang, X Zhang, X Zhou, E Zhou, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 241 | 2020 |
| General instance distillation for object detection X Dai, Z Jiang, Z Wu, Y Bao, Z Wang, S Liu, E Zhou Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 239 | 2021 |
| Rethinking the heatmap regression for bottom-up human pose estimation Z Luo, Z Wang, Y Huang, L Wang, T Tan, E Zhou Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 177 | 2021 |
| Approaching human level facial landmark localization by deep learning H Fan, E Zhou Image and Vision Computing 47, 27-35, 2016 | 144 | 2016 |
| Learning face hallucination in the wild E Zhou, H Fan, Z Cao, Y Jiang, Q Yin Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015 | 142 | 2015 |
| Large scale recurrent neural network on GPU B Li, E Zhou, B Huang, J Duan, Y Wang, N Xu, J Zhang, H Yang 2014 International Joint Conference on Neural Networks (IJCNN), 4062-4069, 2014 | 82 | 2014 |
| Symmetric variational autoencoder and connections to adversarial learning L Chen, S Dai, Y Pu, E Zhou, C Li, Q Su, C Chen, L Carin International Conference on Artificial Intelligence and Statistics, 661-669, 2018 | 80 | 2018 |
| Face hallucination using convolutional neural networks Q Yin, Z Cao, E Zhou US Patent 9,405,960, 2016 | 50 | 2016 |
| GridFace: Face Rectification via Learning Local Homography Transformations E Zhou, Z Cao, J Sun The European Conference on Computer Vision (ECCV), pp. 3-19, 2018 | 44 | 2018 |
| Facial landmark localization using coarse-to-fine cascaded neural networks E Zhou, H Fan, Z Cao, Y Jiang, Q Yin US Patent 9,400,922, 2016 | 28 | 2016 |
| Coarse-to-fine Face Alignment with Multi-Scale Local Patch Regression Z Huang, E Zhou, Z Cao arXiv preprint arXiv:1511.04901, 2015 | 24 | 2015 |
| Delving deep into coarse-to-fine framework for facial landmark localization X Chen, E Zhou, Y Mo, J Liu, Z Cao Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 23 | 2017 |
| W2n: Switching from weak supervision to noisy supervision for object detection Z Huang, Y Bao, B Dong, E Zhou, W Zuo European Conference on Computer Vision, 708-724, 2022 | 17 | 2022 |
| Method and device for face recognition in video E Zhou, Q Yin US Patent App. 15/340,407, 2017 | 15 | 2017 |
