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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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07/24/2023
PRIOR: Prototype Representation Joint Learning from Medical Images and Reports
Contrastive learning based vision-language joint pre-training has emerge...
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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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03/08/2023
Learning Enhancement From Degradation: A Diffusion Model For Fundus Image Enhancement
The quality of a fundus image can be compromised by numerous factors, ma...
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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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09/05/2022
ADTR: Anomaly Detection Transformer with Feature Reconstruction
Anomaly detection with only prior knowledge from normal samples attracts...
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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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04/06/2022
Aesthetic Text Logo Synthesis via Content-aware Layout Inferring
Text logo design heavily relies on the creativity and expertise of profe...
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01/22/2022
Iterative Correlation-based Feature Refinement for Few-shot Counting
Few-shot counting aims to count objects of any class in an image given o...
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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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06/18/2021
Towards Distraction-Robust Active Visual Tracking
In active visual tracking, it is notoriously difficult when distracting ...
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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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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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11/18/2020
Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis
We tackle human image synthesis, including human motion imitation, appea...
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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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01/25/2020
Look Closer to Ground Better: Weakly-Supervised Temporal Grounding of Sentence in Video
In this paper, we study the problem of weakly-supervised temporal ground...
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01/12/2020
Fine-grained Image-to-Image Transformation towards Visual Recognition
Existing image-to-image transformation approaches primarily focus on syn...
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12/18/2019
Coupled Network for Robust Pedestrian Detection with Gated Multi-Layer Feature Extraction and Deformable Occlusion Handling
Pedestrian detection methods have been significantly improved with the d...
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09/26/2019
Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis
We tackle the human motion imitation, appearance transfer, and novel vie...
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06/06/2019
Weakly-Supervised Spatio-Temporally Grounding Natural Sentence in Video
In this paper, we address a novel task, namely weakly-supervised spatio-...
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12/05/2018
Learning to Compose Dynamic Tree Structures for Visual Contexts
We propose to compose dynamic tree structures that place the objects in ...
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11/04/2018
Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance
In this paper, we study 1-bit convolutional neural networks (CNNs), of w...
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08/10/2018
End-to-end Active Object Tracking and Its Real-world Deployment via Reinforcement Learning
We study active object tracking, where a tracker takes visual observatio...
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08/01/2018
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm
In this work, we study the 1-bit convolutional neural networks (CNNs), o...
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03/28/2018
Adversarial Spatio-Temporal Learning for Video Deblurring
Camera shake or target movement often leads to undesired blur effects in...
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09/22/2017
Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks
Taking a photo outside, can we predict the immediate future, e.g., how w...
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05/30/2017
End-to-end Active Object Tracking via Reinforcement Learning
In this paper, we propose an active object tracking approach, which prov...
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09/26/2014