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Yang Jianchao
Yang Jianchao
Bytedance Inc.
Dirección de correo verificada de ifp.illinois.edu
Título
Citado por
Citado por
Año
Image super-resolution via sparse representation
J Yang, J Wright, TS Huang, Y Ma
IEEE transactions on image processing 19 (11), 2861-2873, 2010
63572010
Locality-constrained linear coding for image classification
J Wang, J Yang, K Yu, F Lv, T Huang, Y Gong
2010 IEEE computer society conference on computer vision and pattern …, 2010
40842010
Linear spatial pyramid matching using sparse coding for image classification
J Yang, K Yu, Y Gong, T Huang
2009 IEEE Conference on computer vision and pattern recognition, 1794-1801, 2009
39912009
Image super-resolution as sparse representation of raw image patches
J Yang, J Wright, T Huang, Y Ma
2008 IEEE conference on computer vision and pattern recognition, 1-8, 2008
21762008
Enlightengan: Deep light enhancement without paired supervision
Y Jiang, X Gong, D Liu, Y Cheng, C Fang, X Shen, J Yang, P Zhou, ...
IEEE transactions on image processing 30, 2340-2349, 2021
16882021
Coupled dictionary training for image super-resolution
J Yang, Z Wang, Z Lin, S Cohen, T Huang
IEEE transactions on image processing 21 (8), 3467-3478, 2012
9742012
Deep networks for image super-resolution with sparse prior
Z Wang, D Liu, J Yang, W Han, T Huang
Proceedings of the IEEE international conference on computer vision, 370-378, 2015
9722015
Learning With L1 graph for image analysis
B Cheng, J Yang, S Yan, Y Fu, TS Huang
IEEE Transactions on Image Processing 19 (4), 2010
7152010
Investigating haze-relevant features in a learning framework for image dehazing
K Tang, J Yang, J Wang
Proceedings of the IEEE conference on computer vision and pattern …, 2014
6912014
Learning from noisy labels with distillation
Y Li, J Yang, Y Song, L Cao, J Luo, LJ Li
Proceedings of the IEEE international conference on computer vision, 1910-1918, 2017
6722017
Slimmable neural networks
J Yu, L Yang, N Xu, J Yang, T Huang
arXiv preprint arXiv:1812.08928, 2018
6572018
Robust image sentiment analysis using progressively trained and domain transferred deep networks
Q You, J Luo, H Jin, J Yang
Proceedings of the AAAI conference on Artificial Intelligence 29 (1), 2015
6182015
Fine-grained recognition without part annotations
J Krause, H Jin, J Yang, L Fei-Fei
Proceedings of the IEEE conference on computer vision and pattern …, 2015
5862015
Youtube-vos: A large-scale video object segmentation benchmark
N Xu, L Yang, Y Fan, D Yue, Y Liang, J Yang, T Huang
arXiv preprint arXiv:1809.03327, 2018
5612018
Youtube-vos: Sequence-to-sequence video object segmentation
N Xu, L Yang, Y Fan, J Yang, D Yue, Y Liang, B Price, S Cohen, T Huang
Proceedings of the European conference on computer vision (ECCV), 585-601, 2018
5312018
Rapid: Rating pictorial aesthetics using deep learning
X Lu, Z Lin, H Jin, J Yang, JZ Wang
Proceedings of the 22nd ACM international conference on Multimedia, 457-466, 2014
4842014
Wide activation for efficient and accurate image super-resolution
J Yu, Y Fan, J Yang, N Xu, Z Wang, X Wang, T Huang
arXiv preprint arXiv:1808.08718, 2018
4822018
Supervised translation-invariant sparse coding
J Yang, K Yu, T Huang
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
4442010
Efficient video object segmentation via network modulation
L Yang, Y Wang, X Xiong, J Yang, AK Katsaggelos
Proceedings of the IEEE conference on computer vision and pattern …, 2018
4332018
CGCG clinical practice guidelines for the management of adult diffuse gliomas
T Jiang, Y Mao, W Ma, Q Mao, Y You, X Yang, C Jiang, C Kang, X Li, ...
Cancer letters 375 (2), 263-273, 2016
4332016
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