| Nus-wide: a real-world web image database from national university of singapore TS Chua, J Tang, R Hong, H Li, Z Luo, Y Zheng Proceedings of the ACM international conference on image and video retrieval …, 2009 | 3487 | 2009 |
| The sixth visual object tracking vot2018 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... Proceedings of the European conference on computer vision (ECCV) workshops, 0-0, 2018 | 991 | 2018 |
| Accurate monocular 3d object detection via color-embedded 3d reconstruction for autonomous driving X Ma, Z Wang, H Li, P Zhang, W Ouyang, X Fan Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 362 | 2019 |
| Delving into localization errors for monocular 3d object detection X Ma, Y Zhang, D Xu, D Zhou, S Yi, H Li, W Ouyang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 244 | 2021 |
| User-guided deep anime line art colorization with conditional adversarial networks Y Ci, X Ma, Z Wang, H Li, Z Luo Proceedings of the 26th ACM international conference on Multimedia, 1536-1544, 2018 | 168 | 2018 |
| A novel traffic sign detection method via color segmentation and robust shape matching H Li, F Sun, L Liu, L Wang Neurocomputing 169, 77-88, 2015 | 142 | 2015 |
| Image annotation by graph-based inference with integrated multiple/single instance representations J Tang, H Li, GJ Qi, TS Chua IEEE Transactions on Multimedia 12 (2), 131-141, 2010 | 142 | 2010 |
| A hybrid cooperative coevolution algorithm for fuzzy flexible job shop scheduling L Sun, L Lin, M Gen, H Li IEEE Transactions on Fuzzy Systems 27 (5), 1008-1022, 2019 | 118 | 2019 |
| Graph-propagation based correlation learning for weakly supervised fine-grained image classification Z Wang, S Wang, H Li, Z Dou, J Li Proceedings of the AAAI conference on artificial intelligence 34 (07), 12289 …, 2020 | 111 | 2020 |
| Monodistill: Learning spatial features for monocular 3d object detection Z Chong, X Ma, H Zhang, Y Yue, H Li, Z Wang, W Ouyang arXiv preprint arXiv:2201.10830, 2022 | 103 | 2022 |
| A dataset and benchmark of underwater object detection for robot picking C Liu, H Li, S Wang, M Zhu, D Wang, X Fan, Z Wang 2021 IEEE international conference on multimedia & expo workshops (ICMEW), 1-6, 2021 | 103 | 2021 |
| Weakly supervised fine-grained image classification via guassian mixture model oriented discriminative learning Z Wang, S Wang, S Yang, H Li, J Li, Z Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 92 | 2020 |
| Deep joint depth estimation and color correction from monocular underwater images based on unsupervised adaptation networks X Ye, Z Li, B Sun, Z Wang, R Xu, H Li, X Fan IEEE Transactions on Circuits and Systems for Video Technology 30 (11), 3995 …, 2019 | 91 | 2019 |
| Automatic detection and analysis of player action in moving background sports video sequences H Li, J Tang, S Wu, Y Zhang, S Lin IEEE transactions on circuits and systems for video technology 20 (3), 351-364, 2010 | 90 | 2010 |
| PMBANet: Progressive multi-branch aggregation network for scene depth super-resolution X Ye, B Sun, Z Wang, J Yang, R Xu, H Li, B Li IEEE Transactions on Image Processing 29, 7427-7442, 2020 | 89 | 2020 |
| Rethinking maximum mean discrepancy for visual domain adaptation W Wang, H Li, Z Ding, F Nie, J Chen, X Dong, Z Wang IEEE Transactions on Neural Networks and Learning Systems 34 (1), 264-277, 2021 | 88 | 2021 |
| Multi-label image categorization with sparse factor representation F Sun, J Tang, H Li, GJ Qi, TS Huang IEEE Transactions on Image Processing 23 (3), 1028-1037, 2014 | 85 | 2014 |
| Visdrone-sot2018: The vision meets drone single-object tracking challenge results L Wen, P Zhu, D Du, X Bian, H Ling, Q Hu, C Liu, H Cheng, X Liu, W Ma, ... Proceedings of the European conference on computer vision (ECCV) workshops, 0-0, 2018 | 58 | 2018 |
| A new dataset, Poisson GAN and AquaNet for underwater object grabbing C Liu, Z Wang, S Wang, T Tang, Y Tao, C Yang, H Li, X Liu, X Fan IEEE Transactions on Circuits and Systems for Video Technology 32 (5), 2831-2844, 2021 | 56 | 2021 |
| Depth upsampling based on deep edge-aware learning Z Wang, X Ye, B Sun, J Yang, R Xu, H Li Pattern Recognition 103, 107274, 2020 | 56 | 2020 |
