| 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 | 116 | 2017 |
| 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 | 86 | 2018 |
| 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 | 74 | 2017 |
| 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 | 65 | 2019 |
| Gaussian processes for Bayesian estimation in ordinary differential equations D Barber, Y Wang International conference on machine learning, 1485-1493, 2014 | 60 | 2014 |
| 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 | 59 | 2017 |
| 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 | 32 | 2019 |
| Sparse deep transfer learning for convolutional neural network J Liu, Y Wang, Y Qiao Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 29 | 2017 |
| 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 | 22 | 2016 |
| 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 | 20 | 2019 |
| Sequential inference for deep Gaussian process Y Wang, M Brubaker, B Chaib-Draa, R Urtasun Artificial Intelligence and Statistics, 694-703, 2016 | 19 | 2016 |
| 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 | 18 | 2020 |
| A knn based kalman filter gaussian process regression Y Wang, B Chaib-Draa Twenty-Third International Joint Conference on Artificial Intelligence, 2013 | 17 | 2013 |
| 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 | 13 | 2017 |
| Online local gaussian process for tensor-variate regression: Application to fast reconstruction of limb movements from brain signal M Hou, Y Wang, B Chaib-draa 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 13 | 2015 |
| 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 | 12 | 2018 |
| Bayesian Filtering with Online Gaussian Process Latent Variable Models. Y Wang, MA Brubaker, B Chaib-draa, R Urtasun UAI, 849-857, 2014 | 11 | 2014 |
| An adaptive nonparametric particle filter for state estimation Y Wang, B Chaib-draa 2012 IEEE International Conference on Robotics and Automation, 4355-4360, 2012 | 11 | 2012 |
| A marginalized particle Gaussian process regression Y Wang, B Chaib-draa Advances in Neural Information Processing Systems 25, 1187-1195, 2012 | 11 | 2012 |
| Codebook enhancement of VLAD representation for visual recognition Z Wang, Y Wang, L Wang, Y Qiao 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 9 | 2016 |
Yu QiaoProfessor of Shenzhen Institutes of Advanced Technology, Chinese Academy of SciencesVerified email at siat.ac.cn
