| The visual object tracking vot2015 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, L Cehovin, G Fernandez, ... Proceedings of the IEEE international conference on computer vision …, 2015 | 2161 | 2015 |
| Ranked list loss for deep metric learning X Wang, Y Hua, E Kodirov, G Hu, R Garnier, NM Robertson Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 310 | 2019 |
| Contextualizing object detection and classification Z Song, Q Chen, Z Huang, Y Hua, S Yan CVPR 2011, 1585-1592, 2011 | 266 | 2011 |
| The thermal infrared visual object tracking VOT-TIR2015 challenge results M Felsberg, A Berg, G Hager, J Ahlberg, M Kristan, J Matas, A Leonardis, ... Proceedings of the IEEE international conference on computer vision …, 2015 | 193 | 2015 |
| Fedala: Adaptive local aggregation for personalized federated learning J Zhang, Y Hua, H Wang, T Song, Z Xue, R Ma, H Guan Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 11237 …, 2023 | 169 | 2023 |
| Contextualizing object detection and classification Q Chen, Z Song, J Dong, Z Huang, Y Hua, S Yan IEEE transactions on pattern analysis and machine intelligence 37 (1), 13-27, 2015 | 138 | 2015 |
| Object guided external memory network for video object detection H Deng, Y Hua, T Song, Z Zhang, Z Xue, R Ma, N Robertson, H Guan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 131 | 2019 |
| Online object tracking with proposal selection Y Hua, K Alahari, C Schmid Proceedings of the IEEE international conference on computer vision, 3092-3100, 2015 | 127 | 2015 |
| Hierarchical matching with side information for image classification Q Chen, Z Song, Y Hua, Z Huang, S Yan 2012 IEEE conference on computer vision and pattern recognition, 3426-3433, 2012 | 120 | 2012 |
| Unsupervised video summarization with attentive conditional generative adversarial networks X He, Y Hua, T Song, Z Zhang, Z Xue, R Ma, N Robertson, H Guan Proceedings of the 27th ACM International Conference on multimedia, 2296-2304, 2019 | 107 | 2019 |
| Occlusion and motion reasoning for long-term tracking Y Hua, K Alahari, C Schmid Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 100 | 2014 |
| Adversarial example does good: Preventing painting imitation from diffusion models via adversarial examples C Liang, X Wu, Y Hua, J Zhang, Y Xue, T Song, Z Xue, R Ma, H Guan arXiv preprint arXiv:2302.04578, 2023 | 96 | 2023 |
| Attribute-enhanced face recognition with neural tensor fusion networks G Hu, Y Hua, Y Yuan, Z Zhang, Z Lu, SS Mukherjee, TM Hospedales, ... Proceedings of the IEEE International Conference on Computer Vision, 3744-3753, 2017 | 94 | 2017 |
| IMAE for noise-robust learning: Mean absolute error does not treat examples equally and gradient magnitude's variance matters X Wang, Y Hua, E Kodirov, DA Clifton, NM Robertson arXiv preprint arXiv:1903.12141, 2019 | 93* | 2019 |
| Weakly supervised salient object detection with spatiotemporal cascade neural networks Y Tang, W Zou, Z Jin, Y Chen, Y Hua, X Li IEEE Transactions on Circuits and Systems for Video Technology 29 (7), 1973-1984, 2018 | 90 | 2018 |
| ProSelfLC: Progressive self label correction for training robust deep neural networks X Wang, Y Hua, E Kodirov, DA Clifton, NM Robertson Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 76 | 2021 |
| Semantic-aware occlusion-robust network for occluded person re-identification X Zhang, Y Yan, JH Xue, Y Hua, H Wang IEEE Transactions on Circuits and Systems for Video Technology 31 (7), 2764-2778, 2020 | 75 | 2020 |
| Graph representation of 3D CAD models for machining feature recognition with deep learning W Cao, T Robinson, Y Hua, F Boussuge, AR Colligan, W Pan International design engineering technical conferences and computers and …, 2020 | 62 | 2020 |
| MAMBA: Multi-level aggregation via memory bank for video object detection G Sun, Y Hua, G Hu, N Robertson Proceedings of the AAAI Conference on Artificial Intelligence 35 (3), 2620-2627, 2021 | 58 | 2021 |
| Hierarchical cadnet: Learning from b-reps for machining feature recognition AR Colligan, TT Robinson, DC Nolan, Y Hua, W Cao Computer-Aided Design 147, 103226, 2022 | 57 | 2022 |
