Zhangyang (Atlas) Wang
Zhangyang (Atlas) Wang
Assistant Professor, Texas A&M University
Verified email at tamu.edu - Homepage
Title
Cited by
Cited by
Year
Ntire 2017 challenge on single image super-resolution: Methods and results
R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang, B Lim, S Son, ...
Computer Vision and Pattern Recognition Workshops (CVPRW), 2017 IEEE …, 2017
4392017
AOD-Net: All-in-one dehazing network
B Li, X Peng, Z Wang, J Xu, D Feng
Proceedings of the IEEE International Conference on Computer Vision, 4770-4778, 2017
3142017
Benchmarking single-image dehazing and beyond
B Li, W Ren, D Fu, D Tao, D Feng, W Zeng, Z Wang
IEEE Transactions on Image Processing 28 (1), 492-505, 2018
211*2018
Unitbox: An advanced object detection network
J Yu, Y Jiang, Z Wang, Z Cao, T Huang
Proceedings of the 24th ACM international conference on Multimedia, 516-520, 2016
2022016
Studying very low resolution recognition using deep networks
Z Wang, S Chang, Y Yang, D Liu, TS Huang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
1592016
D3: Deep dual-domain based fast restoration of jpeg-compressed images
Z Wang, D Liu, S Chang, Q Ling, Y Yang, TS Huang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
1092016
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
1022017
When image denoising meets high-level vision tasks: A deep learning approach
D Liu, B Wen, X Liu, Z Wang, T Huang
International Joint Conferences on Artificial Intelligence (IJCAI), 2018
852018
Learning super-resolution jointly from external and internal examples
Z Wang, Y Yang, Z Wang, S Chang, J Yang, TS Huang
IEEE Transactions on Image Processing 24 (11), 4359-4371, 2015
782015
Self-tuned deep super resolution
Z Wang, Y Yang, Z Wang, S Chang, W Han, J Yang, T Huang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
782015
Learning deep ℓ 0 encoders
Z Wang, Q Ling, TS Huang
Thirtieth AAAI Conference on Artificial Intelligence, 2016
712016
Can we gain more from orthogonality regularizations in training deep networks?
N Bansal, X Chen, Z Wang
Advances in Neural Information Processing Systems (NeurIPS), 4261-4271, 2018
692018
Deepfont: Identify your font from an image
Z Wang, J Yang, H Jin, E Shechtman, A Agarwala, J Brandt, TS Huang
Proceedings of the 23rd ACM international conference on Multimedia, 451-459, 2015
692015
Learning a task-specific deep architecture for clustering
Z Wang, S Chang, J Zhou, M Wang, TS Huang
Proceedings of the 2016 SIAM International Conference on Data Mining, 369-377, 2016
552016
Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds
X Chen, J Liu, Z Wang, W Yin
In Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2018
542018
An all-in-one network for dehazing and beyond
B Li, X Peng, Z Wang, J Xu, D Feng
arXiv preprint arXiv:1707.06543, 2017
542017
Deep -Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions
J Wu, Y Wang, Z Wu, Z Wang, A Veeraraghavan, Y Lin
International Conference on Machine Learning (ICML), 2018
512018
Semisupervised hyperspectral classification using task-driven dictionary learning with Laplacian regularization
Z Wang, NM Nasrabadi, TS Huang
IEEE Transactions on Geoscience and Remote Sensing 53 (3), 1161-1173, 2015
502015
Brain-inspired deep networks for image aesthetics assessment
Z Wang, S Chang, F Dolcos, D Beck, D Liu, TS Huang
arXiv preprint arXiv:1601.04155, 2016
492016
Single Image Deraining: A Comprehensive Benchmark Analysis
S Li, IB Araujo, W Ren, Z Wang, EK Tokuda, RH Junior, R Cesar-Junior, ...
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
442019
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