| Meta-Transfer Learning for Few-Shot Learning Q Sun, Y Liu, TS Chua, B Schiele Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 1327 | 2019 |
| Pose Guided Person Image Generation L Ma, X Jia, Q Sun, B Schiele, T Tuytelaars, L Van Gool 31st Conference on Neural Information Processing Systems (NIPS 2017), 2017 | 977 | 2017 |
| Disentangled Person Image Generation L Ma, Q Sun, S Georgoulis, L Van Gool, B Schiele, M Fritz IEEE Conference on Computer Vision and Pattern Recognition, 99-108, 2018 | 504 | 2018 |
| Causal intervention for weakly-supervised semantic segmentation D Zhang, H Zhang, J Tang, X Hua, Q Sun 34th Annual Conference on Neural Information Processing Systems (NeurIPS 2020), 2020 | 417 | 2020 |
| Mnemonics Training: Multi-Class Incremental Learning without Forgetting Y Liu, Y Su, AA Liu, B Schiele, Q Sun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 344 | 2020 |
| Learning to Self-Train for Semi-Supervised Few-Shot Classification X Li, Q Sun, Y Liu, S Zheng, Q Zhou, TS Chua, B Schiele 33rd Annual Conference on Neural Information Processing Systems (NeurIPS 2019), 2019 | 325 | 2019 |
| Feature pyramid transformer D Zhang, H Zhang, J Tang, M Wang, X Hua, Q Sun Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 276 | 2020 |
| Visual Commonsense R-CNN T Wang, J Huang, H Zhang, Q Sun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 264 | 2020 |
| Interventional few-shot learning Z Yue, H Zhang, Q Sun, XS Hua 34th Annual Conference on Neural Information Processing Systems (NeurIPS 2020), 2020 | 233 | 2020 |
| Adaptive Aggregation Networks for Class-Incremental Learning Y Liu, B Schiele, Q Sun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 223 | 2021 |
| Natural and Effective Obfuscation by Head Inpainting Q Sun, L Ma, SJ Oh, L Van Gool, B Schiele, M Fritz IEEE Conference on Computer Vision and Pattern Recognition, 5050-5059, 2018 | 222 | 2018 |
| Counterfactual Zero-Shot and Open-Set Visual Recognition Z Yue, T Wang, H Zhang, Q Sun, XS Hua Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 195 | 2021 |
| An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning Y Liu, B Schiele, Q Sun European Conference on Computer Vision (ECCV 2020), 2020 | 163* | 2020 |
| Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation Z Chen, T Wang, X Wu, XS Hua, H Zhang, Q Sun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 133 | 2022 |
| Online growing neural gas for anomaly detection in changing surveillance scenes Q Sun, H Liu, T Harada Pattern Recognition 64, 187-201, 2017 | 124 | 2017 |
| A Domain Based Approach to Social Relation Recognition Q Sun, B Schiele, M Fritz IEEE Conference on Computer Vision and Pattern Recognition, 2017 | 123 | 2017 |
| A Hybrid Model for Identity Obfuscation by Face Replacement Q Sun, A Tewari, W Xu, M Fritz, C Theobalt, B Schiele The European Conference on Computer Vision (ECCV), 2018 | 122 | 2018 |
| Meta-Transfer Learning through Hard Tasks Q Sun, Y Liu, Z Chen, TS Chua, B Schiele IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 | 99 | 2020 |
| RMM: Reinforced memory management for class-incremental learning Y Liu, B Schiele, Q Sun Advances in Neural Information Processing Systems 34, 3478-3490, 2021 | 88 | 2021 |
| Causal Attention for Unbiased Visual Recognition T Wang, C Zhou, Q Sun, H Zhang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 85 | 2021 |
