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08/18/2023
Diffusion Models for Image Restoration and Enhancement – A Comprehensive Survey
Image restoration (IR) has been an indispensable and challenging task in...
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05/30/2023
Compression with Bayesian Implicit Neural Representations
Many common types of data can be represented as functions that map coord...
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05/25/2023
NVTC: Nonlinear Vector Transform Coding
In theory, vector quantization (VQ) is always better than scalar quantiz...
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05/12/2023
Exploring the Rate-Distortion-Complexity Optimization in Neural Image Compression
Despite a short history, neural image codecs have been shown to surpass ...
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05/04/2023
Semantically Structured Image Compression via Irregular Group-Based Decoupling
Image compression techniques typically focus on compressing rectangular ...
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05/04/2023
Prompt-ICM: A Unified Framework towards Image Coding for Machines with Task-driven Prompts
Image coding for machines (ICM) aims to compress images to support downs...
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04/13/2023
Inpaint Anything: Segment Anything Meets Image Inpainting
Modern image inpainting systems, despite the significant progress, often...
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03/13/2023
Learning Distortion Invariant Representation for Image Restoration from A Causality Perspective
In recent years, we have witnessed the great advancement of Deep neural ...
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01/21/2023
Versatile Neural Processes for Learning Implicit Neural Representations
Representing a signal as a continuous function parameterized by neural n...
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12/06/2022
Semantic-aware Message Broadcasting for Efficient Unsupervised Domain Adaptation
Vision transformer has demonstrated great potential in abundant vision t...
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11/18/2022
Task Residual for Tuning Vision-Language Models
Large-scale vision-language models (VLMs) pre-trained on billion-level d...
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10/13/2022
A Logical Framework with Higher-Order Rational (Circular) Terms
Logical frameworks provide natural and direct ways of specifying and rea...
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09/17/2022
MiNL: Micro-images based Neural Representation for Light Fields
Traditional representations for light fields can be separated into two t...
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08/24/2022
Learned Lossless JPEG Transcoding via Joint Lossy and Residual Compression
As a commonly-used image compression format, JPEG has been broadly appli...
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08/21/2022
HST: Hierarchical Swin Transformer for Compressed Image Super-resolution
Compressed Image Super-resolution has achieved great attention in recent...
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07/29/2022
StyleAM: Perception-Oriented Unsupervised Domain Adaption for Non-reference Image Quality Assessment
Deep neural networks (DNNs) have shown great potential in non-reference ...
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07/17/2022
Source-free Unsupervised Domain Adaptation for Blind Image Quality Assessment
Existing learning-based methods for blind image quality assessment (BIQA...
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07/13/2022
RTN: Reinforced Transformer Network for Coronary CT Angiography Vessel-level Image Quality Assessment
Coronary CT Angiography (CCTA) is susceptible to various distortions (e....
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07/05/2022
Image Coding for Machines with Omnipotent Feature Learning
Image Coding for Machines (ICM) aims to compress images for AI tasks ana...
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05/09/2022
SwinIQA: Learned Swin Distance for Compressed Image Quality Assessment
Image compression has raised widespread interest recently due to its sig...
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03/23/2022
Deep Frequency Filtering for Domain Generalization
Improving the generalization capability of Deep Neural Networks (DNNs) i...
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03/11/2022
ActiveMLP: An MLP-like Architecture with Active Token Mixer
This paper presents ActiveMLP, a general MLP-like backbone for computer ...
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01/28/2022
Mask-based Latent Reconstruction for Reinforcement Learning
For deep reinforcement learning (RL) from pixels, learning effective sta...
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01/25/2022
Semantically Video Coding: Instill Static-Dynamic Clues into Structured Bitstream for AI Tasks
Traditional media coding schemes typically encode image/video into a sem...
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12/26/2021
Learning Cross-Scale Prediction for Efficient Neural Video Compression
In this paper, we present the first neural video codec that can compete ...
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12/06/2021
SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation
Data augmentation (DA) has been widely investigated to facilitate model ...
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11/26/2021
Confounder Identification-free Causal Visual Feature Learning
Confounders in deep learning are in general detrimental to model's gener...
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11/25/2021
Few-Shot Real Image Restoration via Distortion-Relation Guided Transfer Learning
Collecting large clean-distorted training image pairs in real world is n...
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11/19/2021
Meta Clustering Learning for Large-scale Unsupervised Person Re-identification
Unsupervised Person Re-identification (U-ReID) with pseudo labeling rece...
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11/07/2021
Texture-enhanced Light Field Super-resolution with Spatio-Angular Decomposition Kernels
Despite the recent progress in light field super-resolution (LFSR) achie...
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11/05/2021
Versatile Learned Video Compression
Learned video compression methods have demonstrated great promise in cat...
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06/21/2021
ToAlign: Task-oriented Alignment for Unsupervised Domain Adaptation
Unsupervised domain adaptive classification intends to improve theclassi...
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06/08/2021
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning
Learning good feature representations is important for deep reinforcemen...
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06/07/2021
Task-driven Semantic Coding via Reinforcement Learning
Task-driven semantic video/image coding has drawn considerable attention...
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05/15/2021
Image Super-Resolution Quality Assessment: Structural Fidelity Versus Statistical Naturalness
Single image super-resolution (SISR) algorithms reconstruct high-resolut...
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04/01/2021
Bayesian Graph Convolutional Network for Traffic Prediction
Recently, adaptive graph convolutional network based traffic prediction ...
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03/29/2021
Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and Regularization
Cloth-Changing person re-identification (CC-ReID) aims at matching the s...
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03/25/2021
Disentanglement-based Cross-Domain Feature Augmentation for Effective Unsupervised Domain Adaptive Person Re-identification
Unsupervised domain adaptive (UDA) person re-identification (ReID) aims ...
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03/25/2021
MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain Adaptation
For unsupervised domain adaptation (UDA), to alleviate the effect of dom...
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03/22/2021
Re-energizing Domain Discriminator with Sample Relabeling for Adversarial Domain Adaptation
Many unsupervised domain adaptation (UDA) methods exploit domain adversa...
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03/20/2021
Patch AutoAugment
Data augmentation (DA) plays a critical role in training deep neural net...
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03/16/2021
Dense Interaction Learning for Video-based Person Re-identification
Video-based person re-identification (re-ID) aims at matching the same p...
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01/21/2021
Image-to-Image Translation: Methods and Applications
Image-to-image translation (I2I) aims to transfer images from a source d...
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01/03/2021
Style Normalization and Restitution for DomainGeneralization and Adaptation
For many practical computer vision applications, the learned models usua...
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12/17/2020
Learned Block-based Hybrid Image Compression
Learned image compression based on neural networks have made huge progre...
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12/11/2020
Learning Omni-frequency Region-adaptive Representations for Real Image Super-Resolution
Traditional single image super-resolution (SISR) methods that focus on s...
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12/01/2020
Deep Multi-Scale Features Learning for Distorted Image Quality Assessment
Image quality assessment (IQA) aims to estimate human perception based i...
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11/19/2020
Latent-Separated Global Prediction for Learned Image Compression
Over the past several years, we have witnessed the impressive progress o...
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11/06/2020
Improving Machine Reading Comprehension with Single-choice Decision and Transfer Learning
Multi-choice Machine Reading Comprehension (MMRC) aims to select the cor...
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10/20/2020
