| Nonnegative matrix factorization: A comprehensive review YX Wang, YJ Zhang IEEE Transactions on knowledge and data engineering 25 (6), 1336-1353, 2012 | 842 | 2012 |
| Low-shot learning from imaginary data YX Wang, R Girshick, M Hebert, B Hariharan Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 698 | 2018 |
| Learning to model the tail YX Wang, D Ramanan, M Hebert Advances in neural information processing systems 30, 2017 | 515 | 2017 |
| Learning to learn: Model regression networks for easy small sample learning YX Wang, M Hebert Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 310 | 2016 |
| Meta-learning to detect rare objects YX Wang, D Ramanan, M Hebert Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 245 | 2019 |
| Adversarial geometry-aware human motion prediction LY Gui, YX Wang, X Liang, JMF Moura Proceedings of the european conference on computer vision (ECCV), 786-803, 2018 | 217 | 2018 |
| Image deformation meta-networks for one-shot learning Z Chen, Y Fu, YX Wang, L Ma, W Liu, M Hebert Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 207 | 2019 |
| Growing a brain: Fine-tuning by increasing model capacity YX Wang, D Ramanan, M Hebert Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 142 | 2017 |
| Few-shot human motion prediction via meta-learning LY Gui, YX Wang, D Ramanan, JMF Moura Proceedings of the European Conference on Computer Vision (ECCV), 432-450, 2018 | 112 | 2018 |
| Learning compositional representations for few-shot recognition P Tokmakov, YX Wang, M Hebert Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 101 | 2019 |
| Embracing single stride 3d object detector with sparse transformer L Fan, Z Pang, T Zhang, YX Wang, H Zhao, F Wang, N Wang, Z Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 86 | 2022 |
| Learning from small sample sets by combining unsupervised meta-training with CNNs YX Wang, M Hebert Advances in Neural Information Processing Systems 29, 2016 | 83 | 2016 |
| Learning dictionary on manifolds for image classification BD Liu, YX Wang, YJ Zhang, B Shen Pattern Recognition 46 (7), 1879-1890, 2013 | 77 | 2013 |
| Teaching robots to predict human motion LY Gui, K Zhang, YX Wang, X Liang, JMF Moura, M Veloso 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 76 | 2018 |
| Hallucination improves few-shot object detection W Zhang, YX Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 74 | 2021 |
| Pixel contrastive-consistent semi-supervised semantic segmentation Y Zhong, B Yuan, H Wu, Z Yuan, J Peng, YX Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 73 | 2021 |
| Towards streaming perception M Li, YX Wang, D Ramanan Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 70 | 2020 |
| Model recommendation: Generating object detectors from few samples YX Wang, M Hebert Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 52 | 2015 |
| Face recognition using class specific dictionary learning for sparse representation and collaborative representation BD Liu, B Shen, L Gui, YX Wang, X Li, F Yan, YJ Wang Neurocomputing 204, 198-210, 2016 | 48 | 2016 |
| Self-explanatory sparse representation for image classification BD Liu, YX Wang, B Shen, YJ Zhang, M Hebert Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 46 | 2014 |
