| 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 | 540 | 2015 |
| Robust video super-resolution with learned temporal dynamics D Liu, Z Wang, Y Fan, X Liu, Z Wang, S Chang, T Huang Proceedings of the IEEE International Conference on Computer Vision, 2507-2515, 2017 | 292 | 2017 |
| When image denoising meets high-level vision tasks: A deep learning approach D Liu, B Wen, X Liu, Z Wang, TS Huang arXiv preprint arXiv:1706.04284, 2017 | 282 | 2017 |
| Fasterseg: Searching for faster real-time semantic segmentation W Chen, X Gong, X Liu, Q Zhang, Y Li, Z Wang arXiv preprint arXiv:1912.10917, 2019 | 268 | 2019 |
| Connecting image denoising and high-level vision tasks via deep learning D Liu, B Wen, J Jiao, X Liu, Z Wang, TS Huang IEEE Transactions on Image Processing 29, 3695-3706, 2020 | 210 | 2020 |
| Mapping the world population one building at a time TG Tiecke, X Liu, A Zhang, A Gros, N Li, G Yetman, T Kilic, S Murray, ... arXiv preprint arXiv:1712.05839, 2017 | 187 | 2017 |
| Learning temporal dynamics for video super-resolution: A deep learning approach D Liu, Z Wang, Y Fan, X Liu, Z Wang, S Chang, X Wang, TS Huang IEEE Transactions on Image Processing 27 (7), 3432-3445, 2018 | 101 | 2018 |
| Greedy batch-based minimum-cost flows for tracking multiple objects X Wang, B Fan, S Chang, Z Wang, X Liu, D Tao, TS Huang IEEE Transactions on Image Processing 26 (10), 4765-4776, 2017 | 67 | 2017 |
| Toward statistical modeling of saccadic eye-movement and visual saliency X Sun, H Yao, R Ji, XM Liu IEEE Transactions on Image Processing 23 (11), 4649-4662, 2014 | 58 | 2014 |
| Video indexing and recommendation based on affective analysis of viewers S Zhao, H Yao, X Sun, P Xu, X Liu, R Ji Proceedings of the 19th ACM international conference on Multimedia, 1473-1476, 2011 | 55 | 2011 |
| Building detection from satellite images on a global scale A Zhang, X Liu, A Gros, T Tiecke arXiv preprint arXiv:1707.08952, 2017 | 30 | 2017 |
| Unsupervised fast anomaly detection in crowds X Sun, H Yao, R Ji, X Liu, P Xu Proceedings of the 19th ACM international conference on Multimedia, 1469-1472, 2011 | 25 | 2011 |
| Mapping the world population one building at a time. arXiv 2017 TG Tiecke, X Liu, A Zhang, A Gros, N Li, G Yetman, T Kilic, S Murray, ... arXiv preprint arXiv:1712.05839, 1-15, 0 | 24 | |
| The Scale of Edges XM Liu, C Wang, H Yao, L Zhang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012 | 22 | 2012 |
| Saliency detection based on short-term sparse representation X Sun, H Yao, R Ji, P Xu, X Liu, S Liu Image Processing (ICIP), 2010 17th IEEE International Conference on, 1101-1104, 2010 | 21 | 2010 |
| Context-aware semi-local feature detector R Ji, H Yao, Q Tian, P Xu, X Sun, X Liu ACM Transactions on Intelligent Systems and Technology (TIST) 3 (3), 1-27, 2012 | 18 | 2012 |
| Cross-media manifold learning for image retrieval & annotation X Liu, R Ji, H Yao, P Xu, X Sun, T Liu Proceeding of the 1st ACM international conference on Multimedia information …, 2008 | 18 | 2008 |
| Decentralized recommender systems Z Wang, X Liu, S Chang, J Zhou, GJ Qi, TS Huang arXiv preprint arXiv:1503.01647, 2015 | 17 | 2015 |
| Where should I stand? Learning based human position recommendation for mobile photographing P Xu, H Yao, R Ji, XM Liu, X Sun Multimedia tools and applications 69 (1), 3-29, 2014 | 16 | 2014 |
| Feedback neural network for weakly supervised geo-semantic segmentation X Liu, A Zhang, T Tiecke, A Gros, TS Huang arXiv preprint arXiv:1612.02766, 2016 | 14 | 2016 |
Hongxun YaoHarbin Institute of TechnologyVerified email at hit.edu.cn
