| Boosting adversarial attacks with momentum Y Dong, F Liao, T Pang, H Su, X Hu, J Li, J Zhu The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 …, 2018 | 3189 | 2018 |
| Learning efficient convolutional networks through network slimming Z Liu, J Li, Z Shen, G Huang, S Yan, C Zhang Proceedings of the IEEE international conference on computer vision, 2736-2744, 2017 | 3064 | 2017 |
| Dsod: Learning deeply supervised object detectors from scratch Z Shen, Z Liu, J Li, YG Jiang, Y Chen, X Xue Proceedings of the IEEE international conference on computer vision, 1919-1927, 2017 | 813 | 2017 |
| Pyraformer: Low-complexity pyramidal attention for long-range time series modeling and forecasting S Liu, H Yu, C Liao, J Li, W Lin, AX Liu, S Dustdar # PLACEHOLDER_PARENT_METADATA_VALUE#, 2022 | 680 | 2022 |
| Image-based multi-view 3d face generation X Tong, J Li, W Hu, Y Du, Y Zhang US Patent App. 13/522,783, 2013 | 353 | 2013 |
| Efficient facial landmark tracking using online shape regression method A Yao, Y Du, X Tong, T Wang, Y Chen, J Li, J Ye, W Li, Y Zhang US Patent 9,361,510, 2016 | 341 | 2016 |
| Learning surf cascade for fast and accurate object detection J Li, Y Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 290 | 2013 |
| Bodyfusion: Real-time capture of human motion and surface geometry using a single depth camera T Yu, K Guo, F Xu, Y Dong, Z Su, J Zhao, J Li, Q Dai, Y Liu Proceedings of the IEEE International Conference on Computer Vision, 910-919, 2017 | 193 | 2017 |
| Few sample knowledge distillation for efficient network compression T Li, J Li, Z Liu, C Zhang CVPR 2020, 2020 | 182* | 2020 |
| Face detection using SURF cascade J Li, T Wang, Y Zhang Computer Vision Workshops (ICCV Workshops), 2011 IEEE International …, 2011 | 173 | 2011 |
| Towards accurate one-stage object detection with ap-loss K Chen, J Li, W Lin, J See, J Wang, L Duan, Z Chen, C He, J Zou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 164 | 2019 |
| ATRW: A Benchmark for Amur Tiger Re-identification in the Wild S Li, J Li, H Tang, R Qian, W Lin Proceedings of the 28th ACM International Conference on Multimedia, 2590-2598, 2020 | 161* | 2020 |
| Weakly supervised dense video captioning Z Shen, J Li, Z Su, M Li, Y Chen, YG Jiang, X Xue Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 160 | 2017 |
| Tiny-DSOD: Lightweight Object Detection for Resource-Restricted Usages Y Li, J Li, W Lin, J Li BMVC 2018, 2018 | 141 | 2018 |
| Bundled depth-map merging for multi-view stereo J Li, E Li, Y Chen, L Xu, Y Zhang 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 117 | 2010 |
| Object Detection from Scratch with Deep Supervision Z Shen, Z Liu, J Li, YG Jiang, Y Chen, X Xue IEEE transactions on pattern analysis and machine intelligence, 2019 | 103 | 2019 |
| Network Decoupling: From Regular to Depthwise Separable Convolutions J Guo, Y Li, W Lin, Y Chen, J Li BMVC 2018, 2018 | 100 | 2018 |
| One step beyond histograms: Image representation using Markov stationary features J Li, W Wu, T Wang, Y Zhang Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on …, 2008 | 92 | 2008 |
| AP-Loss for Accurate One-Stage Object Detection K Chen, W Lin, J Li, J See, J Wang, J Zou IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 | 89 | 2020 |
| Learning visual knowledge memory networks for visual question answering Z Su, C Zhu, Y Dong, D Cai, Y Chen, J Li Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 83 | 2018 |
