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2020 – today
- 2024
[j7]Jingyun Liang
, Jiezhang Cao, Yuchen Fan, Kai Zhang, Rakesh Ranjan, Yawei Li, Radu Timofte, Luc Van Gool:
VRT: A Video Restoration Transformer. IEEE Trans. Image Process. 33: 2171-2182 (2024)- [c15]Jingyun Liang, Yuchen Fan, Kai Zhang, Radu Timofte, Luc Van Gool, Rakesh Ranjan:
MoVideo: Motion-Aware Video Generation with Diffusion Model. ECCV (44) 2024: 56-74 - [i19]Bin Ren, Yawei Li, Jingyun Liang, Rakesh Ranjan, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, Nicu Sebe:
Key-Graph Transformer for Image Restoration. CoRR abs/2402.02634 (2024) - [i18]Bin Ren, Yawei Li, Jingyun Liang, Rakesh Ranjan, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, Ming-Hsuan Yang, Nicu Sebe:
Sharing Key Semantics in Transformer Makes Efficient Image Restoration. CoRR abs/2405.20008 (2024) - 2023
- [b1]Jingyun Liang:
Towards Better Image and Video Restoration. ETH Zurich, Zürich, Switzerland, 2023 - [j6]Kai Zhang, Yawei Li, Jingyun Liang, Jiezhang Cao, Yulun Zhang, Hao Tang, Deng-Ping Fan, Radu Timofte, Luc Van Gool:
Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis. Mach. Intell. Res. 20(6): 822-836 (2023) - [c14]Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, Luc Van Gool:
Denoising Diffusion Models for Plug-and-Play Image Restoration. CVPR Workshops 2023: 1219-1229 - [c13]Yawei Li, Kai Zhang, Jingyun Liang, Jiezhang Cao, Ce Liu, Rui Gong, Yulun Zhang, Hao Tang, Yun Liu, Denis Demandolx, Rakesh Ranjan, Radu Timofte, Luc Van Gool:
LSDIR: A Large Scale Dataset for Image Restoration. CVPR Workshops 2023: 1775-1787 - [c12]Lei Sun, Christos Sakaridis, Jingyun Liang, Peng Sun, Kai Zhang, Jiezhang Cao, Qi Jiang, Kaiwei Wang, Luc Van Gool:
Event-Based Frame Interpolation with Ad-hoc Deblurring. CVPR 2023: 18043-18052 - [i17]Lei Sun, Christos Sakaridis, Jingyun Liang, Peng Sun, Jiezhang Cao, Kai Zhang, Qi Jiang, Kaiwei Wang, Luc Van Gool:
Event-Based Frame Interpolation with Ad-hoc Deblurring. CoRR abs/2301.05191 (2023) - [i16]Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, Luc Van Gool:
Denoising Diffusion Models for Plug-and-Play Image Restoration. CoRR abs/2305.08995 (2023) - [i15]Jingyun Liang, Yuchen Fan, Kai Zhang, Radu Timofte, Luc Van Gool, Rakesh Ranjan:
MoVideo: Motion-Aware Video Generation with Diffusion Models. CoRR abs/2311.11325 (2023) - 2022
- [j5]Guofeng Zhang, Xiao Chen, Lei Zhang, Bin Feng, Xuchao Guo, Jingyun Liang, Yanan Zhang:
STAIBT: Blockchain and CP-ABE Empowered Secure and Trusted Agricultural IoT Blockchain Terminal. Int. J. Interact. Multim. Artif. Intell. 7(5): 66 (2022) - [c11]Jiezhang Cao, Jingyun Liang, Kai Zhang, Yawei Li, Yulun Zhang, Wenguan Wang, Luc Van Gool:
Reference-Based Image Super-Resolution with Deformable Attention Transformer. ECCV (18) 2022: 325-342 - [c10]Jiezhang Cao, Jingyun Liang, Kai Zhang, Wenguan Wang, Qin Wang, Yulun Zhang, Hao Tang, Luc Van Gool:
Towards Interpretable Video Super-Resolution via Alternating Optimization. ECCV (18) 2022: 393-411 - [c9]Lei Sun, Christos Sakaridis, Jingyun Liang, Qi Jiang, Kailun Yang, Peng Sun, Yaozu Ye, Kaiwei Wang, Luc Van Gool:
Event-Based Fusion for Motion Deblurring with Cross-modal Attention. ECCV (18) 2022: 412-428 - [c8]Jingyun Liang, Yuchen Fan, Xiaoyu Xiang, Rakesh Ranjan, Eddy Ilg, Simon Green, Jiezhang Cao, Kai Zhang, Radu Timofte, Luc Van Gool:
Recurrent Video Restoration Transformer with Guided Deformable Attention. NeurIPS 2022 - [i14]Jingyun Liang, Jiezhang Cao, Yuchen Fan, Kai Zhang, Rakesh Ranjan, Yawei Li, Radu Timofte, Luc Van Gool:
VRT: A Video Restoration Transformer. CoRR abs/2201.12288 (2022) - [i13]Kai Zhang, Yawei Li, Jingyun Liang, Jiezhang Cao, Yulun Zhang, Hao Tang, Radu Timofte, Luc Van Gool:
Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis. CoRR abs/2203.13278 (2022) - [i12]Jingyun Liang, Yuchen Fan, Xiaoyu Xiang, Rakesh Ranjan, Eddy Ilg, Simon Green, Jiezhang Cao, Kai Zhang, Radu Timofte, Luc Van Gool:
Recurrent Video Restoration Transformer with Guided Deformable Attention. CoRR abs/2206.02146 (2022) - [i11]Jiezhang Cao, Jingyun Liang, Kai Zhang, Wenguan Wang, Qin Wang, Yulun Zhang, Hao Tang, Luc Van Gool:
Towards Interpretable Video Super-Resolution via Alternating Optimization. CoRR abs/2207.10765 (2022) - [i10]Jiezhang Cao, Jingyun Liang, Kai Zhang, Yawei Li, Yulun Zhang, Wenguan Wang, Luc Van Gool:
Reference-based Image Super-Resolution with Deformable Attention Transformer. CoRR abs/2207.11938 (2022) - [i9]Jiezhang Cao, Qin Wang, Jingyun Liang, Yulun Zhang, Kai Zhang, Luc Van Gool:
Practical Real Video Denoising with Realistic Degradation Model. CoRR abs/2208.11803 (2022) - 2021
- [c7]Jingyun Liang, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte:
Flow-Based Kernel Prior With Application to Blind Super-Resolution. CVPR 2021: 10601-10610 - [c6]Jingyun Liang, Andreas Lugmayr, Kai Zhang, Martin Danelljan, Luc Van Gool, Radu Timofte:
Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling. ICCV 2021: 4056-4065 - [c5]Jingyun Liang, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte:
Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution. ICCV 2021: 4076-4085 - [c4]Kai Zhang, Jingyun Liang, Luc Van Gool, Radu Timofte:
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution. ICCV 2021: 4771-4780 - [c3]Jingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte:
SwinIR: Image Restoration Using Swin Transformer. ICCVW 2021: 1833-1844 - [i8]Kai Zhang, Jingyun Liang, Luc Van Gool, Radu Timofte:
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution. CoRR abs/2103.14006 (2021) - [i7]Jingyun Liang, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte:
Flow-based Kernel Prior with Application to Blind Super-Resolution. CoRR abs/2103.15977 (2021) - [i6]Guolei Sun, Yun Liu, Jingyun Liang, Luc Van Gool:
Boosting Few-shot Semantic Segmentation with Transformers. CoRR abs/2108.02266 (2021) - [i5]Jingyun Liang, Andreas Lugmayr, Kai Zhang, Martin Danelljan, Luc Van Gool, Radu Timofte:
Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling. CoRR abs/2108.05301 (2021) - [i4]Jingyun Liang, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte:
Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution. CoRR abs/2108.05302 (2021) - [i3]Jingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte:
SwinIR: Image Restoration Using Swin Transformer. CoRR abs/2108.10257 (2021) - [i2]Lei Sun, Christos Sakaridis, Jingyun Liang, Qi Jiang, Kailun Yang, Peng Sun, Yaozu Ye, Kaiwei Wang, Luc Van Gool:
MEFNet: Multi-scale Event Fusion Network for Motion Deblurring. CoRR abs/2112.00167 (2021) - 2020
- [j4]Jingyun Liang, Jinlin Guo, Yanming Guo, Songyang Lao:
PFNet: a novel part fusion network for fine-grained visual categorization. Multim. Tools Appl. 79(45-46): 33397-33416 (2020)
2010 – 2019
- 2019
- [j3]Chengyu Guo, Jingyun Liang, Geng Zhan, Zhong Liu, Matti Pietikäinen, Li Liu:
Extended Local Binary Patterns for Efficient and Robust Spontaneous Facial Micro-Expression Recognition. IEEE Access 7: 174517-174530 (2019) - [i1]Chengyu Guo, Jingyun Liang, Geng Zhan, Zhong Liu, Matti Pietikäinen, Li Liu:
Extended Local Binary Patterns for Efficient and Robust Spontaneous Facial Micro-Expression Recognition. CoRR abs/1907.09160 (2019) - 2018
- [j2]Jingyun Liang, Jinlin Guo, Xin Liu, Songyang Lao:
Fine-Grained Image Classification With Gaussian Mixture Layer. IEEE Access 6: 53356-53367 (2018) - [j1]Jingyun Liang, Jinlin Guo, Yanming Guo, Songyang Lao:
Adaptive Triplet Model for Fine-Grained Visual Categorization. IEEE Access 6: 76776-76786 (2018) - [c2]Jinlin Guo, Jingyun Liang, Liang Bai, Songyang Lao:
PFNet: A Novel Part Fusion Network for Fine-Grained Image Categorization. BigMM 2018: 1-6 - 2017
- [c1]Jingyun Liang, Jinlin Guo, Songyang Lao, Jue Li:
Using Deep Relational Features to Verify Kinship. CCCV (1) 2017: 563-573
Coauthor Index
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