Jingyun Liang | DeepAI

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Luc Van Gool
414 publications
Radu Timofte
174 publications
Li Liu
154 publications
Hao Tang
151 publications
Kai Zhang
131 publications
Yun Liu
88 publications
Martin Danelljan
83 publications
Kailun Yang
80 publications
Yulun Zhang
77 publications
Wenguan Wang
64 publications
Peng Sun
60 publications

∙ 05/15/2023

Denoising Diffusion Models for Plug-and-Play Image Restoration

Plug-and-play Image Restoration (IR) has been widely recognized as a fle...

0 Yuanzhi Zhu, et al. ∙

∙ 01/12/2023

Event-Based Frame Interpolation with Ad-hoc Deblurring

The performance of video frame interpolation is inherently correlated wi...

0 Lei Sun, et al. ∙

∙ 07/25/2022

Reference-based Image Super-Resolution with Deformable Attention Transformer

Reference-based image super-resolution (RefSR) aims to exploit auxiliary...

0 Jiezhang Cao, et al. ∙

∙ 06/05/2022

Recurrent Video Restoration Transformer with Guided Deformable Attention

Video restoration aims at restoring multiple high-quality frames from mu...

4 Jingyun Liang, et al. ∙

∙ 03/24/2022

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

While recent years have witnessed a dramatic upsurge of exploiting deep ...

0 Kai Zhang, et al. ∙

∙ 01/28/2022

VRT: A Video Restoration Transformer

Video restoration (e.g., video super-resolution) aims to restore high-qu...

0 Jingyun Liang, et al. ∙

∙ 11/30/2021

MEFNet: Multi-scale Event Fusion Network for Motion Deblurring

Traditional frame-based cameras inevitably suffer from motion blur due t...

0 Lei Sun, et al. ∙

∙ 08/23/2021

SwinIR: Image Restoration Using Swin Transformer

Image restoration is a long-standing low-level vision problem that aims ...

5 Jingyun Liang, et al. ∙

∙ 08/11/2021

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

Existing blind image super-resolution (SR) methods mostly assume blur ke...

4 Jingyun Liang, et al. ∙

∙ 08/11/2021

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

Normalizing flows have recently demonstrated promising results for low-l...

0 Jingyun Liang, et al. ∙

∙ 08/04/2021

Boosting Few-shot Semantic Segmentation with Transformers

Due to the fact that fully supervised semantic segmentation methods requ...

0 Guolei Sun, et al. ∙

∙ 03/29/2021

Flow-based Kernel Prior with Application to Blind Super-Resolution

Kernel estimation is generally one of the key problems for blind image s...

0 Jingyun Liang, et al. ∙

∙ 03/25/2021

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

It is widely acknowledged that single image super-resolution (SISR) meth...

5 Kai Zhang, et al. ∙

∙ 07/22/2019

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

Facial MicroExpressions (MEs) are spontaneous, involuntary facial moveme...

2 Chengyu Guo, et al. ∙

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