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07/17/2023
Similarity Min-Max: Zero-Shot Day-Night Domain Adaptation
Low-light conditions not only hamper human visual experience but also de...
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07/15/2023
ExposureDiffusion: Learning to Expose for Low-light Image Enhancement
Previous raw image-based low-light image enhancement methods predominant...
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07/09/2023
Enhancing Low-Light Images Using Infrared-Encoded Images
Low-light image enhancement task is essential yet challenging as it is i...
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06/21/2023
Beyond Learned Metadata-based Raw Image Reconstruction
While raw images have distinct advantages over sRGB images, e.g., linear...
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06/21/2023
Towards Mitigating Spurious Correlations in the Wild: A Benchmark a more Realistic Dataset
Deep neural networks often exploit non-predictive features that are spur...
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03/13/2023
Robust Contrastive Language-Image Pretraining against Adversarial Attacks
Contrastive vision-language representation learning has achieved state-o...
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03/11/2023
Contrastive Learning under Heterophily
Graph Neural Networks are powerful tools for learning node representatio...
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02/28/2023
Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger
Recent deep-learning-based compression methods have achieved superior pe...
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02/25/2023
Raw Image Reconstruction with Learned Compact Metadata
While raw images exhibit advantages over sRGB images (e.g., linearity an...
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02/11/2023
Removing Image Artifacts From Scratched Lens Protectors
A protector is placed in front of the camera lens for mobile devices to ...
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11/27/2022
Estimating Reflectance Layer from A Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware Learning
Estimating reflectance layer from a single image is a challenging task. ...
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10/06/2022
Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog Removal
Few existing image defogging or dehazing methods consider dense and non-...
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08/10/2022
Benchmarking Joint Face Spoofing and Forgery Detection with Visual and Physiological Cues
Face anti-spoofing (FAS) and face forgery detection play vital roles in ...
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07/27/2022
Meta-Interpolation: Time-Arbitrary Frame Interpolation via Dual Meta-Learning
Existing video frame interpolation methods can only interpolate the fram...
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07/21/2022
Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression
Night images suffer not only from low light, but also from uneven distri...
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07/03/2022
Cycle-Interactive Generative Adversarial Network for Robust Unsupervised Low-Light Enhancement
Getting rid of the fundamental limitations in fitting to the paired trai...
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05/29/2022
Feature-Aligned Video Raindrop Removal with Temporal Constraints
Existing adherent raindrop removal methods focus on the detection of the...
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05/04/2022
UCL-Dehaze: Towards Real-world Image Dehazing via Unsupervised Contrastive Learning
While the wisdom of training an image dehazing model on synthetic hazy d...
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04/06/2022
Semi-DRDNet Semi-supervised Detail-recovery Image Deraining Network via Unpaired Contrastive Learning
The intricacy of rainy image contents often leads cutting-edge deraining...
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03/31/2022
Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond
Rain removal aims to remove rain streaks from images/videos and reduce t...
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03/09/2022
Neural Data-Dependent Transform for Learned Image Compression
Learned image compression has achieved great success due to its excellen...
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02/20/2022
The Loop Game: Quality Assessment and Optimization for Low-Light Image Enhancement
There is an increasing consensus that the design and optimization of low...
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01/10/2022
Enhancing Low-Light Images in Real World via Cross-Image Disentanglement
Images captured in the low-light condition suffer from low visibility an...
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12/28/2021
Towards Low Light Enhancement with RAW Images
In this paper, we make the first benchmark effort to elaborate on the su...
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12/13/2021
Semantically Contrastive Learning for Low-light Image Enhancement
Low-light image enhancement (LLE) remains challenging due to the unfavor...
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10/18/2021
Video Coding for Machine: Compact Visual Representation Compression for Intelligent Collaborative Analytics
Video Coding for Machines (VCM) is committed to bridging to an extent se...
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09/13/2021
Low-Light Image Enhancement with Normalizing Flow
To enhance low-light images to normally-exposed ones is highly ill-posed...
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06/16/2021
Revisit Visual Representation in Analytics Taxonomy: A Compression Perspective
Visual analytics have played an increasingly critical role in the Intern...
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04/05/2021
HLA-Face: Joint High-Low Adaptation for Low Light Face Detection
Face detection in low light scenarios is challenging but vital to many p...
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01/25/2021
Camera Invariant Feature Learning for Generalized Face Anti-spoofing
There has been an increasing consensus in learning based face anti-spoof...
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12/30/2020
Unpaired Image Enhancement with Quality-Attention Generative Adversarial Network
In this work, we aim to learn an unpaired image enhancement model, which...
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12/30/2020
Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network
Improving the aesthetic quality of images is challenging and eager for t...
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04/21/2020
Towards Analysis-friendly Face Representation with Scalable Feature and Texture Compression
It plays a fundamental role to compactly represent the visual informatio...
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02/10/2020
Learning End-to-End Lossy Image Compression: A Benchmark
Image compression is one of the most fundamental techniques and commonly...
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02/10/2020
End-to-End Facial Deep Learning Feature Compression with Teacher-Student Enhancement
In this paper, we propose a novel end-to-end feature compression scheme ...
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01/16/2020
Combining Progressive Rethinking and Collaborative Learning: A Deep Framework for In-Loop Filtering
In this paper, we aim to address two critical issues in deep-learning ba...
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01/10/2020
Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics
Video coding, which targets to compress and reconstruct the whole frame,...
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01/09/2020
An Emerging Coding Paradigm VCM: A Scalable Coding Approach Beyond Feature and Signal
In this paper, we study a new problem arising from the emerging MPEG sta...
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01/09/2020
Towards Coding for Human and Machine Vision: A Scalable Image Coding Approach
The past decades have witnessed the rapid development of image and video...
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12/16/2019
Single Image Deraining: From Model-Based to Data-Driven and Beyond
Rain removal or deraining methods attempt to restore the clean backgroun...
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09/09/2019
A Comprehensive Benchmark for Single Image Compression Artifacts Reduction
We present a comprehensive study and evaluation of existing single image...
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06/13/2019
Unsupervised Image Noise Modeling with Self-Consistent GAN
Noise modeling lies in the heart of many image processing tasks. However...
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05/16/2019
Deep Reference Generation with Multi-Domain Hierarchical Constraints for Inter Prediction
Inter prediction is an important module in video coding for temporal red...
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04/09/2019
UG^2+ Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments
The UG^2+ challenge in IEEE CVPR 2019 aims to evoke a comprehensive disc...
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01/28/2019
Bridging the Gap Between Computational Photography and Visual Recognition
What is the current state-of-the-art for image restoration and enhanceme...
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10/09/2018
Context-Aware Text-Based Binary Image Stylization and Synthesis
In this work, we present a new framework for the stylization of text-bas...
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08/14/2018
Deep Retinex Decomposition for Low-Light Enhancement
Retinex model is an effective tool for low-light image enhancement. It a...
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07/06/2018
Progressive Spatial Recurrent Neural Network for Intra Prediction
Intra prediction is an important component of modern video codecs, which...
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06/19/2018
A Group Variational Transformation Neural Network for Fractional Interpolation of Video Coding
Motion compensation is an important technology in video coding to remove...
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06/08/2018