RGBD salient object detection via deep fusion L Qu, S He, J Zhang, J Tian, Y Tang, Q Yang IEEE transactions on image processing 26 (5), 2274-2285, 2017 | 380 | 2017 |
DeshadowNet: A Multi-context Embedding Deep Network for Shadow Removal L Qu, J Tian, S He, Y Tang, RWH Lau IEEE CVPR 2017, 2017 | 267 | 2017 |
Methods and datasets on semantic segmentation: A review H Yu, Z Yang, L Tan, Y Wang, W Sun, M Sun, Y Tang Neurocomputing 304, 82-103, 2018 | 220 | 2018 |
Video desnowing and deraining based on matrix decomposition W Ren, J Tian, Z Han, A Chan, Y Tang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 184 | 2017 |
Video Anomaly Search in Crowded Scenes via Spatio-Temporal Motion Context Y Cong, J Yuan, Y Tang IEEE Transactions on Information Forensics and Security 8 (10), 1590-1599, 2013 | 148 | 2013 |
Flow mosaicking: Real-time pedestrian counting without scene-specific learning Y Cong, H Gong, SC Zhu, Y Tang 2009 IEEE Conference on Computer Vision and Pattern Recognition, 1093-1100, 2009 | 129 | 2009 |
Tricolor attenuation model for shadow detection J Tian, J Sun, Y Tang IEEE Transactions on image processing 18 (10), 2355-2363, 2009 | 125 | 2009 |
Review of palm vein recognition W Wu, SJ Elliott, S Lin, S Sun, Y Tang IET Biometrics 9 (1), 1-10, 2020 | 74 | 2020 |
New spectrum ratio properties and features for shadow detection J Tian, X Qi, L Qu, Y Tang Pattern Recognition 51, 85-96, 2016 | 73 | 2016 |
Tracking-by-counting: Using network flows on crowd density maps for tracking multiple targets W Ren, X Wang, J Tian, Y Tang, AB Chan IEEE Transactions on Image Processing 30, 1439-1452, 2020 | 69 | 2020 |
A stairway detection algorithm based on vision for ugv stair climbing Y Cong, X Li, J Liu, Y Tang 2008 IEEE International Conference on Networking, Sensing and Control, 1806-1811, 2008 | 65 | 2008 |
Deep retinex network for single image dehazing P Li, J Tian, Y Tang, G Wang, C Wu IEEE Transactions on Image Processing 30, 1100-1115, 2020 | 61 | 2020 |
A generalized model for robust tensor factorization with noise modeling by mixture of Gaussians Z Han, Y Wang, Q Zhao, D Meng, L Lin, Y Tang IEEE transactions on neural networks and learning systems 29 (11), 5380-5393, 2018 | 58 | 2018 |
A method of insulator detection from video sequence B Li, D Wu, Y Cong, Y Xia, Y Tang 2012 Fourth International Symposium on Information Science and Engineering …, 2012 | 51 | 2012 |
Specular reflection separation with color-lines constraint W Ren, J Tian, Y Tang IEEE Transactions on image processing 26 (5), 2327-2337, 2017 | 48 | 2017 |
Laplacian pyramid adversarial network for face completion Q Wang, H Fan, G Sun, Y Cong, Y Tang Pattern Recognition 88, 493-505, 2019 | 47 | 2019 |
Automatic segmentation of the papilla in a fundus image based on the CV model and a shape restraint Y Tang, X Li, A von Freyberg, G Goch 18th International Conference on Pattern Recognition (ICPR'06) 1, 183-186, 2006 | 47 | 2006 |
Scalable gastroscopic video summarization via similar-inhibition dictionary selection S Wang, Y Cong, J Cao, Y Yang, Y Tang, H Zhao, H Yu Artificial intelligence in medicine 66, 1-13, 2016 | 40 | 2016 |
V-disparity based UGV obstacle detection in rough outdoor terrain C Yang, P Jun-Jian, S Jing, Z Lin-Lin, T Yan-Dong Acta Automatica Sinica 36 (5), 667-673, 2010 | 38 | 2010 |
Robust tensor factorization with unknown noise X Chen, Z Han, Y Wang, Q Zhao, D Meng, Y Tang proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 37 | 2016 |