| Bag of tricks for image classification with convolutional neural networks T He, Z Zhang, H Zhang, Z Zhang, J Xie, M Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1468 | 2019 |
| Resnest: Split-attention networks H Zhang, C Wu, Z Zhang, Y Zhu, H Lin, Z Zhang, Y Sun, T He, J Mueller, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 1443 | 2022 |
| Spatially supervised recurrent convolutional neural networks for visual object tracking G Ning, Z Zhang, C Huang, X Ren, H Wang, C Cai, Z He 2017 IEEE international symposium on circuits and systems (ISCAS), 1-4, 2017 | 344 | 2017 |
| Bag of freebies for training object detection neural networks Z Zhang, T He, H Zhang, Z Zhang, J Xie, M Li arXiv preprint arXiv:1902.04103, 2019 | 200 | 2019 |
| Gluoncv and gluonnlp: Deep learning in computer vision and natural language processing J Guo, H He, T He, L Lausen, M Li, H Lin, X Shi, C Wang, J Xie, S Zha, ... The Journal of Machine Learning Research 21 (1), 845-851, 2020 | 194 | 2020 |
| Knowledge-guided deep fractal neural networks for human pose estimation G Ning, Z Zhang, Z He IEEE Transactions on Multimedia 20 (5), 1246-1259, 2017 | 172 | 2017 |
| A comprehensive study of deep video action recognition Y Zhu, X Li, C Liu, M Zolfaghari, Y Xiong, C Wu, Z Zhang, J Tighe, ... arXiv preprint arXiv:2012.06567, 2020 | 134 | 2020 |
| Animal detection from highly cluttered natural scenes using spatiotemporal object region proposals and patch verification Z Zhang, Z He, G Cao, W Cao IEEE Transactions on Multimedia 18 (10), 2079-2092, 2016 | 119 | 2016 |
| Improving semantic segmentation via efficient self-training Y Zhu, Z Zhang, C Wu, Z Zhang, T He, H Zhang, R Manmatha, M Li, ... IEEE transactions on pattern analysis and machine intelligence, 2021 | 87 | 2021 |
| Resnest: Split-attention networks. arXiv 2020 H Zhang, C Wu, Z Zhang, Y Zhu, Z Zhang, H Lin, Y Sun, T He, J Mueller, ... arXiv preprint arXiv:2004.08955, 2004 | 67 | 2004 |
| Fast deep neural networks with knowledge guided training and predicted regions of interests for real-time video object detection W Cao, J Yuan, Z He, Z Zhang, Z He IEEE Access 6, 8990-8999, 2018 | 65 | 2018 |
| Supervised deep feature embedding with handcrafted feature S Kan, Y Cen, Z He, Z Zhang, L Zhang, Y Wang IEEE Transactions on Image Processing 28 (12), 5809-5823, 2019 | 61 | 2019 |
| Visual informatics tools for supporting large-scale collaborative wildlife monitoring with citizen scientists Z He, R Kays, Z Zhang, G Ning, C Huang, TX Han, J Millspaugh, ... IEEE Circuits and Systems Magazine 16 (1), 73-86, 2016 | 57 | 2016 |
| Attention in attention network for image super-resolution H Chen, J Gu, Z Zhang arXiv preprint arXiv:2104.09497, 2021 | 56 | 2021 |
| Progressive coordinate transforms for monocular 3d object detection L Wang, L Zhang, Y Zhu, Z Zhang, T He, M Li, X Xue Advances in Neural Information Processing Systems 34, 13364-13377, 2021 | 55 | 2021 |
| Video contrastive learning with global context H Kuang, Y Zhu, Z Zhang, X Li, J Tighe, S Schwertfeger, C Stachniss, M Li Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 50 | 2021 |
| Crossnorm and selfnorm for generalization under distribution shifts Z Tang, Y Gao, Y Zhu, Z Zhang, M Li, DN Metaxas Proceedings of the IEEE/CVF International Conference on Computer Vision, 52-61, 2021 | 38 | 2021 |
| Knowledge projection for deep neural networks Z Zhang, G Ning, Z He arXiv preprint arXiv:1710.09505, 2017 | 25 | 2017 |
| Bigdetection: A large-scale benchmark for improved object detector pre-training L Cai, Z Zhang, Y Zhu, L Zhang, M Li, X Xue Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 23 | 2022 |
| Dynamic mini-batch sgd for elastic distributed training: Learning in the limbo of resources H Lin, H Zhang, Y Ma, T He, Z Zhang, S Zha, M Li arXiv preprint arXiv:1904.12043, 2019 | 19 | 2019 |
Mu LiAmazonVerified email at amazon.com
