1.1k citations · 2.3k across the 45 of their papers we have counts for
12 papers · 1 filter
Towards Real-World Blind Face Restoration with Generative Diffusion Prior
Xiaoxu Chen, Jingfan Tan, Tao Wang +3
Blind face restoration is an important task in computer vision and has gained significant attention due to its wide-range applications. Previous works mainly exploit facial priors…
Deep Video Restoration for Under-Display Camera
Xuanxi Chen, Tao Wang, Ziqian Shao +6
Images or videos captured by the Under-Display Camera (UDC) suffer from severe degradation, such as saturation degeneration and color shift. While restoration for UDC has been a cr…
MB-TaylorFormer: Multi-branch Efficient Transformer Expanded by Taylor Formula for Image Dehazing
Yuwei Qiu, Kaihao Zhang, Chenxi Wang +3
In recent years, Transformer networks are beginning to replace pure convolutional neural networks (CNNs) in the field of computer vision due to their global receptive field and ada…
InterTracker: Discovering and Tracking General Objects Interacting with Hands in the Wild
Yanyan Shao, Qi Ye, Wenhan Luo +2
Understanding human interaction with objects is an important research topic for embodied Artificial Intelligence and identifying the objects that humans are interacting with is a p…
Blind Face Restoration for Under-Display Camera via Dictionary Guided Transformer
Jingfan Tan, Xiaoxu Chen, Tao Wang +3
By hiding the front-facing camera below the display panel, Under-Display Camera (UDC) provides users with a full-screen experience. However, due to the characteristics of the displ…
Benchmarking Ultra-High-Definition Image Reflection Removal
Zhenyuan Zhang, Zhenbo Song, Kaihao Zhang +2
Deep learning based methods have achieved significant success in the task of single image reflection removal (SIRR). However, the majority of these methods are focused on High-Defi…
LLDiffusion: Learning Degradation Representations in Diffusion Models for Low-Light Image Enhancement
Tao Wang, Kaihao Zhang, Ziqian Shao +5
Current deep learning methods for low-light image enhancement (LLIE) typically rely on pixel-wise mapping learned from paired data. However, these methods often overlook the import…
HTNet for micro-expression recognition
Zhifeng Wang, Kaihao Zhang, Wenhan Luo +1
Facial expression is related to facial muscle contractions and different muscle movements correspond to different emotional states. For micro-expression recognition, the muscle mov…
DREAM: Domain-free Reverse Engineering Attributes of Black-box Model
Rongqing Li, Jiaqi Yu, Changsheng Li +3
Deep learning models are usually black boxes when deployed on machine learning platforms. Prior works have shown that the attributes (, the number of convolutional layers) of…
PRIOR: Prototype Representation Joint Learning from Medical Images and Reports
Pujin Cheng, Li Lin, Junyan Lyu +3
Contrastive learning based vision-language joint pre-training has emerged as a successful representation learning strategy. In this paper, we present a prototype representation lea…
GridFormer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather Conditions
Tao Wang, Kaihao Zhang, Ziqian Shao +6
Image restoration in adverse weather conditions is a difficult task in computer vision. In this paper, we propose a novel transformer-based framework called GridFormer which serves…
Learning Enhancement From Degradation: A Diffusion Model For Fundus Image Enhancement
Puijin Cheng, Li Lin, Yijin Huang +3
The quality of a fundus image can be compromised by numerous factors, many of which are challenging to be appropriately and mathematically modeled. In this paper, we introduce a no…