Követés
Zhangyang (Atlas) Wang
Zhangyang (Atlas) Wang
University of Texas at Austin & Picsart AI Research
E-mail megerősítve itt: utexas.edu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
15962017
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
15032017
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
13852018
Graph Contrastive Learning with Augmentations
Y You, T Chen, Y Sui, T Chen, Z Wang, Y Shen
Advances in Neural Information Processing Systems (NeurIPS), 2020
12912020
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
12492016
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 (TIP), 2020
11482020
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
O Kupyn, T Martyniuk, J Wu, Z Wang
IEEE International Conference on Computer Vision (ICCV), 2019
8072019
ABD-Net: Attentive but Diverse Person Re-Identification
T Chen, S Ding, J Xie, Y Yuan, W Chen, Y Yang, Z Ren, Z Wang
IEEE International Conference on Computer Vision (ICCV), 2019
5192019
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up
Y Jiang, S Chang, Z Wang
Thirty-Fifth Conference on Neural Information Processing Systems, 2021
489*2021
DeepAffinity: interpretable deep learning of compound–protein affinity through unified recurrent and convolutional neural networks
M Karimi, D Wu, Z Wang, Y Shen
Bioinformatics 35 (18), 3329-3338, 2019
3462019
Can we gain more from orthogonality regularizations in training deep networks?
N Bansal, X Chen, Z Wang
Advances in Neural Information Processing Systems 31, 2018
3082018
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
EK Ryu, J Liu, S Wang, X Chen, Z Wang, W Yin
International Conference on Machine Learning (ICML), 2019
3042019
Graph Contrastive Learning Automated
Y You, T Chen, Y Shen, Z Wang
International Conference on Machine Learning (ICML), 2021
2912021
The lottery ticket hypothesis for pre-trained bert networks
T Chen, J Frankle, S Chang, S Liu, Y Zhang, Z Wang, M Carbin
Advances in Neural Information Processing Systems (NeurIPS), 2020
2892020
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
2812019
AutoGAN: Neural architecture search for generative adversarial networks
X Gong, S Chang, Y Jiang, Z Wang
Proceedings of the IEEE International Conference on Computer Vision, 3224-3234, 2019
2802019
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
2792016
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
2372017
Drawing early-bird tickets: Towards more efficient training of deep networks
H You, C Li, P Xu, Y Fu, Y Wang, X Chen, Y Lin, Z Wang, RG Baraniuk
International Conference on Learning Representation (ICLR), 2020
2212020
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
2212016
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Cikkek 1–20