Jingyun Liang

According to our database, Jingyun Liang authored at least 28 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

VRT: A Video Restoration Transformer.

Jingyun Liang, Jiezhang Cao, Yuchen Fan, Kai Zhang, Rakesh Ranjan, Yawei Li, Radu Timofte, Luc Van Gool

IEEE Trans. Image Process., 2024

Key-Graph Transformer for Image Restoration.

Bin Ren, Yawei Li, Jingyun Liang, Rakesh Ranjan, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, Nicu Sebe

CoRR, 2024

2023

Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis.

Kai Zhang, Yawei Li, Jingyun Liang, Jiezhang Cao, Yulun Zhang, Hao Tang, Deng-Ping Fan, Radu Timofte, Luc Van Gool

Mach. Intell. Res., December, 2023

Towards Better Image and Video Restoration.

Jingyun Liang

PhD thesis, 2023

MoVideo: Motion-Aware Video Generation with Diffusion Models.

Jingyun Liang, Yuchen Fan, Kai Zhang, Radu Timofte, Luc Van Gool, Rakesh Ranjan

CoRR, 2023

Denoising Diffusion Models for Plug-and-Play Image Restoration.

Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, Luc Van Gool

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Event-Based Frame Interpolation with Ad-hoc Deblurring.

Lei Sun, Christos Sakaridis, Jingyun Liang, Peng Sun, Kai Zhang, Jiezhang Cao, Qi Jiang, Kaiwei Wang, Luc Van Gool

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

LSDIR: A Large Scale Dataset for Image Restoration.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

STAIBT: Blockchain and CP-ABE Empowered Secure and Trusted Agricultural IoT Blockchain Terminal.

Guofeng Zhang, Xiao Chen, Lei Zhang, Bin Feng, Xuchao Guo, Jingyun Liang, Yanan Zhang

Int. J. Interact. Multim. Artif. Intell., 2022

Practical Real Video Denoising with Realistic Degradation Model.

Jiezhang Cao, Qin Wang, Jingyun Liang, Yulun Zhang, Kai Zhang, Luc Van Gool

CoRR, 2022

Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis.

Kai Zhang, Yawei Li, Jingyun Liang, Jiezhang Cao, Yulun Zhang, Hao Tang, Radu Timofte, Luc Van Gool

CoRR, 2022

Recurrent Video Restoration Transformer with Guided Deformable Attention.

Jingyun Liang, Yuchen Fan, Xiaoyu Xiang, Rakesh Ranjan, Eddy Ilg, Simon Green, Jiezhang Cao, Kai Zhang, Radu Timofte, Luc Van Gool

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Event-Based Fusion for Motion Deblurring with Cross-modal Attention.

Lei Sun, Christos Sakaridis, Jingyun Liang, Qi Jiang, Kailun Yang, Peng Sun, Yaozu Ye, Kaiwei Wang, Luc Van Gool

Proceedings of the Computer Vision - ECCV 2022, 2022

Towards Interpretable Video Super-Resolution via Alternating Optimization.

Jiezhang Cao, Jingyun Liang, Kai Zhang, Wenguan Wang, Qin Wang, Yulun Zhang, Hao Tang, Luc Van Gool

Proceedings of the Computer Vision - ECCV 2022, 2022

Reference-Based Image Super-Resolution with Deformable Attention Transformer.

Jiezhang Cao, Jingyun Liang, Kai Zhang, Yawei Li, Yulun Zhang, Wenguan Wang, Luc Van Gool

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

MEFNet: Multi-scale Event Fusion Network for Motion Deblurring.

Lei Sun, Christos Sakaridis, Jingyun Liang, Qi Jiang, Kailun Yang, Peng Sun, Yaozu Ye, Kaiwei Wang, Luc Van Gool

CoRR, 2021

Boosting Few-shot Semantic Segmentation with Transformers.

Guolei Sun, Yun Liu, Jingyun Liang, Luc Van Gool

CoRR, 2021

SwinIR: Image Restoration Using Swin Transformer.

Jingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution.

Jingyun Liang, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling.

Jingyun Liang, Andreas Lugmayr, Kai Zhang, Martin Danelljan, Luc Van Gool, Radu Timofte

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Designing a Practical Degradation Model for Deep Blind Image Super-Resolution.

Kai Zhang, Jingyun Liang, Luc Van Gool, Radu Timofte

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Flow-Based Kernel Prior With Application to Blind Super-Resolution.

Jingyun Liang, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

PFNet: a novel part fusion network for fine-grained visual categorization.

Jingyun Liang, Jinlin Guo, Yanming Guo, Songyang Lao

Multim. Tools Appl., 2020

2019

Extended Local Binary Patterns for Efficient and Robust Spontaneous Facial Micro-Expression Recognition.

Chengyu Guo, Jingyun Liang, Geng Zhan, Zhong Liu, Matti Pietikäinen, Li Liu

IEEE Access, 2019

2018

Fine-Grained Image Classification With Gaussian Mixture Layer.

Jingyun Liang, Jinlin Guo, Xin Liu, Songyang Lao

IEEE Access, 2018

Adaptive Triplet Model for Fine-Grained Visual Categorization.

Jingyun Liang, Jinlin Guo, Yanming Guo, Songyang Lao

IEEE Access, 2018

PFNet: A Novel Part Fusion Network for Fine-Grained Image Categorization.

Jinlin Guo, Jingyun Liang, Liang Bai, Songyang Lao

Proceedings of the Fourth IEEE International Conference on Multimedia Big Data, 2018

2017

Using Deep Relational Features to Verify Kinship.

Jingyun Liang, Jinlin Guo, Songyang Lao, Jue Li

Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017