| Mining actionlet ensemble for action recognition with depth cameras J Wang, Z Liu, Y Wu, J Yuan Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on …, 2012 | 1852 | 2012 |
| Learning fine-grained image similarity with deep ranking J Wang, Y Song, T Leung, C Rosenberg, J Wang, J Philbin, B Chen, Y Wu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 1506 | 2014 |
| Attention to scale: Scale-aware semantic image segmentation LC Chen, Y Yang, J Wang, W Xu, AL Yuille Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 1503 | 2016 |
| Deep captioning with multimodal recurrent neural networks (m-rnn) J Mao, W Xu, Y Yang, J Wang, Z Huang, A Yuille arXiv preprint arXiv:1412.6632, 2014 | 1444 | 2014 |
| Cnn-rnn: A unified framework for multi-label image classification J Wang, Y Yang, J Mao, Z Huang, C Huang, W Xu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 1365 | 2016 |
| Video paragraph captioning using hierarchical recurrent neural networks H Yu, J Wang, Z Huang, Y Yang, W Xu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 675 | 2016 |
| Robust 3d action recognition with random occupancy patterns J Wang, Z Liu, J Chorowski, Z Chen, Y Wu Computer Vision–ECCV 2012, 872-885, 2012 | 593 | 2012 |
| Learning Actionlet Ensemble for 3D Human Action Recognition J Wang, Z Liu, Y Wu, J Yuan IEEE, 2013 | 588 | 2013 |
| Cross-view Action Modeling, Learning and Recognition J Wang, X Nie, Y Xia, Y Wu, SC Zhu arXiv preprint arXiv:1405.2941, 2014 | 505 | 2014 |
| Adversarial examples improve image recognition C Xie, M Tan, B Gong, J Wang, AL Yuille, QV Le Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 484 | 2020 |
| Look and think twice: Capturing top-down visual attention with feedback convolutional neural networks C Cao, X Liu, Y Yang, Y Yu, J Wang, Z Wang, Y Huang, L Wang, C Huang, ... Proceedings of the IEEE International Conference on Computer Vision, 2956-2964, 2015 | 478 | 2015 |
| Explain images with multimodal recurrent neural networks J Mao, W Xu, Y Yang, J Wang, AL Yuille arXiv preprint arXiv:1410.1090, 2014 | 456 | 2014 |
| Abc-cnn: An attention based convolutional neural network for visual question answering K Chen, J Wang, LC Chen, H Gao, W Xu, R Nevatia arXiv preprint arXiv:1511.05960, 2015 | 360 | 2015 |
| Kernel Pooling for Convolutional Neural Networks. Y Cui, F Zhou, J Wang, X Liu, Y Lin, SJ Belongie CVPR 1 (2), 7, 2017 | 355 | 2017 |
| Learning like a child: Fast novel visual concept learning from sentence descriptions of images J Mao, X Wei, Y Yang, J Wang, Z Huang, AL Yuille Proceedings of the IEEE International Conference on Computer Vision, 2533-2541, 2015 | 178 | 2015 |
| Fully convolutional attention networks for fine-grained recognition X Liu, T Xia, J Wang, Y Yang, F Zhou, Y Lin arXiv preprint arXiv:1603.06765, 2016 | 146 | 2016 |
| Action recognition with multiscale spatio-temporal contexts J Wang, Z Chen, Y Wu Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on …, 2011 | 137 | 2011 |
| Transmot: Spatial-temporal graph transformer for multiple object tracking P Chu, J Wang, Q You, H Ling, Z Liu Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 110 | 2023 |
| Note-rcnn: Noise tolerant ensemble rcnn for semi-supervised object detection J Gao, J Wang, S Dai, LJ Li, R Nevatia Proceedings of the IEEE international conference on computer vision, 9508-9517, 2019 | 101 | 2019 |
| Learning maximum margin temporal warping for action recognition J Wang, Y Wu Proceedings of the IEEE International Conference on Computer Vision, 2688-2695, 2013 | 83 | 2013 |
Ying WuProfessor of Electrical and Computer Engineering, Northwestern University在 northwestern.edu 的电子邮件经过验证
