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Yuwang Wang
Yuwang Wang
Verified email at mail.tsinghua.edu.cn
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Cited by
Year
The light field attachment: Turning a DSLR into a light field camera using a low budget camera ring
Y Wang, Y Liu, W Heidrich, Q Dai
IEEE transactions on visualization and computer graphics 23 (10), 2357-2364, 2016
682016
Unsupervised high-resolution depth learning from videos with dual networks
J Zhou, Y Wang, K Qin, W Zeng
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
662019
Moving indoor: Unsupervised video depth learning in challenging environments
J Zhou, Y Wang, K Qin, W Zeng
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
612019
Blind quality assessment for image superresolution using deep two-stream convolutional networks
W Zhou, Q Jiang, Y Wang, Z Chen, W Li
Information Sciences 528, 205-218, 2020
592020
Hyperspectral computational ghost imaging via temporal multiplexing
Y Wang, J Suo, J Fan, Q Dai
IEEE Photonics Technology Letters 28 (3), 288-291, 2015
562015
High speed computational ghost imaging via spatial sweeping
Y Wang, Y Liu, J Suo, G Situ, C Qiao, Q Dai
Scientific reports 7 (1), 45325, 2017
552017
S2r-depthnet: Learning a generalizable depth-specific structural representation
X Chen, Y Wang, X Chen, W Zeng
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
502021
Learning disentangled representation by exploiting pretrained generative models: A contrastive learning view
X Ren, T Yang, Y Wang, W Zeng
arXiv preprint arXiv:2102.10543, 2021
302021
Single-shot thermal ghost imaging using wavelength-division multiplexing
C Deng, J Suo, Y Wang, Z Zhang, Q Dai
Applied Physics Letters 112 (5), 2018
292018
Towards building a group-based unsupervised representation disentanglement framework
T Yang, X Ren, Y Wang, W Zeng, N Zheng
arXiv preprint arXiv:2102.10303, 2021
232021
Do generative models know disentanglement? contrastive learning is all you need
X Ren, T Yang, Y Wang, W Zeng
arXiv preprint arXiv:2102.10543 14, 2021
142021
Unifying layout generation with a decoupled diffusion model
M Hui, Z Zhang, X Zhang, W Xie, Y Wang, Y Lu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
132023
Doubling the pixel count limitation of single-pixel imaging via sinusoidal amplitude modulation
Y Zhang, J Suo, Y Wang, Q Dai
Optics Express 26 (6), 6929-6942, 2018
132018
Test-time batch normalization
T Yang, S Zhou, Y Wang, Y Lu, N Zheng
arXiv preprint arXiv:2205.10210, 2022
112022
Retriever: Learning content-style representation as a token-level bipartite graph
D Yin, X Ren, C Luo, Y Wang, Z Xiong, W Zeng
arXiv preprint arXiv:2202.12307, 2022
112022
Disdiff: Unsupervised disentanglement of diffusion probabilistic models
T Yang, Y Wang, Y Lv, N Zheng
arXiv preprint arXiv:2301.13721, 2023
82023
Rethinking content and style: exploring bias for unsupervised disentanglement
X Ren, T Yang, Y Wang, W Zeng
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
82021
Visual concepts tokenization
T Yang, Y Wang, Y Lu, N Zheng
Advances in Neural Information Processing Systems 35, 31571-31582, 2022
72022
Understanding Mobile GUI: from Pixel-Words to Screen-Sentences
J Fu, X Zhang, Y Wang, W Zeng, S Yang, G Hilliard
arXiv preprint arXiv:2105.11941, 2021
62021
Monocular viewpoints estimation for generic objects in the wild
Z Li, Y Wang, X Ji
IEEE Access 7, 94321-94331, 2019
62019
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