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09/09/2023
Deep Video Restoration for Under-Display Camera
Images or videos captured by the Under-Display Camera (UDC) suffer from ...
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08/27/2023
MB-TaylorFormer: Multi-branch Efficient Transformer Expanded by Taylor Formula for Image Dehazing
In recent years, Transformer networks are beginning to replace pure conv...
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08/20/2023
Blind Face Restoration for Under-Display Camera via Dictionary Guided Transformer
By hiding the front-facing camera below the display panel, Under-Display...
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08/06/2023
InterTracker: Discovering and Tracking General Objects Interacting with Hands in the Wild
Understanding human interaction with objects is an important research to...
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08/01/2023
Benchmarking Ultra-High-Definition Image Reflection Removal
Deep learning based methods have achieved significant success in the tas...
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07/27/2023
LLDiffusion: Learning Degradation Representations in Diffusion Models for Low-Light Image Enhancement
Current deep learning methods for low-light image enhancement (LLIE) typ...
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07/27/2023
HTNet for micro-expression recognition
Facial expression is related to facial muscle contractions and different...
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05/29/2023
GridFormer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather Conditions
Image restoration in adverse weather conditions is a difficult task in c...
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04/06/2023
Towards an Effective and Efficient Transformer for Rain-by-snow Weather Removal
Rain-by-snow weather removal is a specialized task in weather-degraded i...
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12/22/2022
Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method
As the quality of optical sensors improves, there is a need for processi...
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12/22/2022
Restoring Vision in Hazy Weather with Hierarchical Contrastive Learning
Image restoration under hazy weather condition, which is called single i...
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11/05/2022
A Survey of Deep Face Restoration: Denoise, Super-Resolution, Deblur, Artifact Removal
Face Restoration (FR) aims to restore High-Quality (HQ) faces from Low-Q...
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06/21/2022
Vicinity Vision Transformer
Vision transformers have shown great success on numerous computer vision...
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06/08/2022
Blind Face Restoration: Benchmark Datasets and a Baseline Model
Blind Face Restoration (BFR) aims to construct a high-quality (HQ) face ...
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10/11/2021
EDFace-Celeb-1M: Benchmarking Face Hallucination with a Million-scale Dataset
Recent deep face hallucination methods show stunning performance in supe...
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06/05/2021
T-Net: Deep Stacked Scale-Iteration Network for Image Dehazing
Hazy images reduce the visibility of the image content, and haze will le...
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05/27/2021
Blind Motion Deblurring Super-Resolution: When Dynamic Spatio-Temporal Learning Meets Static Image Understanding
Single-image super-resolution (SR) and multi-frame SR are two ways to su...
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05/09/2021
Beyond Monocular Deraining: Parallel Stereo Deraining Network Via Semantic Prior
Rain is a common natural phenomenon. Taking images in the rain however o...
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04/01/2021
Deep Two-View Structure-from-Motion Revisited
Two-view structure-from-motion (SfM) is the cornerstone of 3D reconstruc...
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03/23/2021
Enhanced Spatio-Temporal Interaction Learning for Video Deraining: A Faster and Better Framework
Video deraining is an important task in computer vision as the unwanted ...
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03/21/2021
Deep Dense Multi-scale Network for Snow Removal Using Semantic and Geometric Priors
Images captured in snowy days suffer from noticeable degradation of scen...
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03/12/2021
Dual Attention-in-Attention Model for Joint Rain Streak and Raindrop Removal
Rain streaks and rain drops are two natural phenomena, which degrade ima...
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03/07/2021
ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring
Video deblurring models exploit consecutive frames to remove blurs from ...
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12/01/2020
Displacement-Invariant Cost Computation for Efficient Stereo Matching
Although deep learning-based methods have dominated stereo matching lead...
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10/28/2020
Displacement-Invariant Matching Cost Learning for Accurate Optical Flow Estimation
Learning matching costs has been shown to be critical to the success of ...
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10/12/2020
TSPNet: Hierarchical Feature Learning via Temporal Semantic Pyramid for Sign Language Translation
Sign language translation (SLT) aims to interpret sign video sequences i...
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08/20/2020
Single Image Super-Resolution via a Holistic Attention Network
Informative features play a crucial role in the single image super-resol...
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04/04/2020
Deblurring by Realistic Blurring
Existing deep learning methods for image deblurring typically train mode...
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03/18/2020
STH: Spatio-Temporal Hybrid Convolution for Efficient Action Recognition
Effective and Efficient spatio-temporal modeling is essential for action...
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03/28/2018