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Xiaokang Yang
Xiaokang Yang
Verified email at sjtu.edu.cn
Title
Cited by
Cited by
Year
Hierarchical convolutional features for visual tracking
C Ma, JB Huang, X Yang, MH Yang
Proceedings of the IEEE international conference on computer vision, 3074-3082, 2015
21462015
Cross-scene crowd counting via deep convolutional neural networks
C Zhang, H Li, X Wang, X Yang
Proceedings of the IEEE conference on computer vision and pattern …, 2015
14212015
Long-term correlation tracking
C Ma, X Yang, C Zhang, MH Yang
Proceedings of the IEEE conference on computer vision and pattern …, 2015
11902015
Using free energy principle for blind image quality assessment
K Gu, G Zhai, X Yang, W Zhang
IEEE Transactions on Multimedia 17 (1), 50-63, 2014
6142014
Learning a no-reference quality metric for single-image super-resolution
C Ma, CY Yang, X Yang, MH Yang
Computer Vision and Image Understanding 158, 1-16, 2017
5212017
Just noticeable distortion model and its applications in video coding
X Yang, WS Ling, ZK Lu, EP Ong, SS Yao
Signal processing: Image communication 20 (7), 662-680, 2005
4072005
Crowd counting via adversarial cross-scale consistency pursuit
Z Shen, Y Xu, B Ni, M Wang, J Hu, X Yang
Proceedings of the IEEE conference on computer vision and pattern …, 2018
3962018
Deep multimodal distance metric learning using click constraints for image ranking
J Yu, X Yang, F Gao, D Tao
IEEE transactions on cybernetics 47 (12), 4014-4024, 2016
3702016
Unsupervised deep learning for optical flow estimation
Z Ren, J Yan, B Ni, B Liu, X Yang, H Zha
Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017
3612017
No-reference quality metric of contrast-distorted images based on information maximization
K Gu, W Lin, G Zhai, X Yang, W Zhang, CW Chen
IEEE transactions on cybernetics 47 (12), 4559-4565, 2016
3612016
Pointaugmenting: Cross-modal augmentation for 3d object detection
C Wang, C Ma, M Zhu, X Yang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
3332021
No-reference image sharpness assessment in autoregressive parameter space
K Gu, G Zhai, W Lin, X Yang, W Zhang
IEEE Transactions on Image Processing 24 (10), 3218-3231, 2015
3332015
Blind image quality estimation via distortion aggravation
X Min, G Zhai, K Gu, Y Liu, X Yang
IEEE Transactions on Broadcasting 64 (2), 508-517, 2018
3262018
A deep learning system for detecting diabetic retinopathy across the disease spectrum
L Dai, L Wu, H Li, C Cai, Q Wu, H Kong, R Liu, X Wang, X Hou, Y Liu, ...
Nature communications 12 (1), 3242, 2021
3062021
Modeling the intensity function of point process via recurrent neural networks
S Xiao, J Yan, X Yang, H Zha, S Chu
Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017
3042017
Blind quality assessment based on pseudo-reference image
X Min, K Gu, G Zhai, J Liu, X Yang, CW Chen
IEEE Transactions on Multimedia 20 (8), 2049-2062, 2017
2972017
Saliency-guided quality assessment of screen content images
K Gu, S Wang, H Yang, W Lin, G Zhai, X Yang, W Zhang
IEEE Transactions on Multimedia 18 (6), 1098-1110, 2016
2892016
Person re-identification via recurrent feature aggregation
Y Yan, B Ni, Z Song, C Ma, Y Yan, X Yang
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
2882016
A psychovisual quality metric in free-energy principle
G Zhai, X Wu, X Yang, W Lin, W Zhang
IEEE Transactions on Image Processing 21 (1), 41-52, 2011
2832011
Deep regression tracking with shrinkage loss
X Lu, C Ma, B Ni, X Yang, I Reid, MH Yang
Proceedings of the European conference on computer vision (ECCV), 353-369, 2018
2592018
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