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Jingyun Liang
Jingyun Liang
PhD student, ETH Zurich
Verified email at vision.ee.ethz.ch - Homepage
Title
Cited by
Cited by
Year
SwinIR: Image Restoration Using Swin Transformer
J Liang, J Cao, G Sun, K Zhang, L Van Gool, R Timofte
arXiv preprint arXiv:2108.10257, code: https://github.com/JingyunLiang …, 2021
4162021
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution
K Zhang, J Liang, L Van Gool, R Timofte
ICCV2021, code: https://github.com/cszn/BSRGAN, 2021
1202021
Video Super-Resolution Transformer
J Cao, Y Li, K Zhang, J Liang, L Van Gool
arXiv preprint arXiv:2106.06847, code: https://github.com/caojiezhang/VSR …, 2021
672021
Flow-based Kernel Prior with Application to Blind Super-Resolution
J Liang, K Zhang, S Gu, L Van Gool, R Timofte
CVPR2021, code: https://github.com/JingyunLiang/FKP, 2021
572021
VRT: A Video Restoration Transformer
J Liang, J Cao, Y Fan, K Zhang, R Ranjan, Y Li, R Timofte, L Van Gool
arXiv preprint arXiv:2201.12288, code: https://github.com/JingyunLiang/VRT, 2022
342022
Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling
J Liang, A Lugmayr, K Zhang, M Danelljan, L Van Gool, R Timofte
ICCV2021, code: https://github.com/JingyunLiang/HCFlow, 2021
322021
Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution
J Liang, G Sun, K Zhang, L Van Gool, R Timofte
ICCV2021, code: https://github.com/JingyunLiang/MANet, 2021
302021
Extended Local Binary Patterns for Efficient and Robust Spontaneous Facial Micro-Expression Recognition
LL C Guo, J Liang, G Zhan, Z Liu, M Pietikäinen
arXiv preprint arXiv:1907.09160, 2019
23*2019
Event-Based Fusion for Motion Deblurring with Cross-modal Attention
L Sun, C Sakaridis, J Liang, Q Jiang, K Yang, P Sun, Y Ye, K Wang, ...
ECCV2022, code: https://github.com/AHupuJR/EFNet, 2022
7*2022
Boosting Few-shot Semantic Segmentation with Transformers
G Sun, Y Liu, J Liang, L Van Gool
arXiv preprint arXiv:2108.02266, code: https://github.com/GuoleiSun/TRFS, 2021
62021
Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis
K Zhang, Y Li, J Liang, J Cao, Y Zhang, H Tang, R Timofte, L Van Gool
arXiv preprint arXiv:2203.13278, code: https://github.com/cszn/SCUNet, 2022
52022
Recurrent Video Restoration Transformer with Guided Deformable Attention
J Liang, Y Fan, X Xiang, R Ranjan, E Ilg, S Green, J Cao, K Zhang, ...
arXiv preprint arXiv:2206.02146, code: https://github.com/JingyunLiang/RVRT, 2022
42022
Practical Real Video Denoising with Realistic Degradation Model
J Cao, Q Wang, J Liang, Y Zhang, K Zhang, L Van Gool
arXiv preprint arXiv:2208.11803, 2022
2022
Towards Interpretable Video Super-Resolution via Alternating Optimization
J Cao, J Liang, K Zhang, W Wang, Q Wang, Y Zhang, H Tang, L Van Gool
ECCV2022, code: https://github.com/caojiezhang/DAVSR, 2022
2022
Reference-based Image Super-Resolution with Deformable Attention Transformer
J Cao, J Liang, K Zhang, Y Li, Y Zhang, W Wang, L Van Goo
ECCV2022, code: https://github.com/caojiezhang/DATSR, 2022
2022
LSDIR: A Large Scale Dataset for Image Restoration
Y Li, K Zhang, J Liang, J Cao, C Liu, R Gong, Y Zhang, H Tang, Y Liu, ...
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Articles 1–16