| Lstd: A low-shot transfer detector for object detection H Chen, Y Wang, G Wang, Y Qiao Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 185 | 2018 |
| Adaptive pyramid context network for semantic segmentation J He, Z Deng, L Zhou, Y Wang, Y Qiao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 175 | 2019 |
| Rpan: An end-to-end recurrent pose-attention network for action recognition in videos W Du, Y Wang, Y Qiao Proceedings of the IEEE international conference on computer vision, 3725-3734, 2017 | 164 | 2017 |
| Recurrent spatial-temporal attention network for action recognition in videos W Du, Y Wang, Y Qiao IEEE Transactions on Image Processing 27 (3), 1347-1360, 2017 | 137 | 2017 |
| Learning attentive pairwise interaction for fine-grained classification P Zhuang, Y Wang, Y Qiao Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 13130 …, 2020 | 109 | 2020 |
| Weakly supervised patchnets: Describing and aggregating local patches for scene recognition Z Wang, L Wang, Y Wang, B Zhang, Y Qiao IEEE Transactions on Image Processing 26 (4), 2028-2041, 2017 | 73 | 2017 |
| Gaussian processes for Bayesian estimation in ordinary differential equations D Barber, Y Wang International conference on machine learning, 1485-1493, 2014 | 71 | 2014 |
| Metacleaner: Learning to hallucinate clean representations for noisy-labeled visual recognition W Zhang, Y Wang, Y Qiao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 57 | 2019 |
| PA3D: Pose-action 3D machine for video recognition A Yan, Y Wang, Z Li, Y Qiao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 45 | 2019 |
| Smallbignet: Integrating core and contextual views for video classification X Li, Y Wang, Z Zhou, Y Qiao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 44 | 2020 |
| Activitynet challenge 2017 summary B Ghanem, JC Niebles, C Snoek, FC Heilbron, H Alwassel, R Khrisna, ... arXiv preprint arXiv:1710.08011, 2017 | 43 | 2017 |
| Sparse deep transfer learning for convolutional neural network J Liu, Y Wang, Y Qiao Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 40 | 2017 |
| Context-transformer: tackling object confusion for few-shot detection Z Yang, Y Wang, X Chen, J Liu, Y Qiao Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12653 …, 2020 | 36 | 2020 |
| Mining Inter-Video Proposal Relations for Video Object Detection M Han, Y Wang, X Chang, Y Qiao European Conference on Computer Vision (ECCV), 2020 | 30 | 2020 |
| KNN-based Kalman filter: An efficient and non-stationary method for Gaussian process regression Y Wang, B Chaib-draa Knowledge-Based Systems 114, 148-155, 2016 | 29 | 2016 |
| Sequential inference for deep Gaussian process Y Wang, M Brubaker, B Chaib-Draa, R Urtasun Artificial Intelligence and Statistics, 694-703, 2016 | 22 | 2016 |
| An online Bayesian filtering framework for Gaussian process regression: Application to global surface temperature analysis Y Wang, B Chaib-draa Expert Systems with Applications 67, 285-295, 2017 | 21 | 2017 |
| A KNN based Kalman filter Gaussian process regression Y Wang, B Chaib-Draa Twenty-Third International Joint Conference on Artificial Intelligence, 2013 | 20 | 2013 |
| Temporal hallucinating for action recognition with few still images Y Wang, L Zhou, Y Qiao Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 19 | 2018 |
| Wildfish: A large benchmark for fish recognition in the wild P Zhuang, Y Wang, Y Qiao Proceedings of the 26th ACM international conference on Multimedia, 1301-1309, 2018 | 18 | 2018 |
Yu QiaoProfessor of Shanghai AI Laboratory; Shenzhen Institutes of Advanced Technology, Chinese Academy ofVerified email at siat.ac.cn
