research
∙
08/08/2023
Prompted Contrast with Masked Motion Modeling: Towards Versatile 3D Action Representation Learning
Self-supervised learning has proved effective for skeleton-based human a...
share
research
∙
07/17/2023
Similarity Min-Max: Zero-Shot Day-Night Domain Adaptation
Low-light conditions not only hamper human visual experience but also de...
research
∙
03/20/2023
Actionlet-Dependent Contrastive Learning for Unsupervised Skeleton-Based Action Recognition
The self-supervised pretraining paradigm has achieved great success in s...
research
∙
11/24/2022
Hierarchical Consistent Contrastive Learning for Skeleton-Based Action Recognition with Growing Augmentations
Contrastive learning has been proven beneficial for self-supervised skel...
research
∙
10/07/2022
Self-Aligned Concave Curve: Illumination Enhancement for Unsupervised Adaptation
Low light conditions not only degrade human visual experience, but also ...
research
∙
07/27/2022
Meta-Interpolation: Time-Arbitrary Frame Interpolation via Dual Meta-Learning
Existing video frame interpolation methods can only interpolate the fram...
research
∙
07/04/2022
S^5Mars: Self-Supervised and Semi-Supervised Learning for Mars Segmentation
Deep learning has become a powerful tool for Mars exploration. Mars terr...
research
∙
06/05/2022
Semi-Supervised Learning for Mars Imagery Classification and Segmentation
With the progress of Mars exploration, numerous Mars image data are coll...
research
∙
03/09/2022
Neural Data-Dependent Transform for Learned Image Compression
Learned image compression has achieved great success due to its excellen...
research
∙
02/23/2022
Web of Scholars: A Scholar Knowledge Graph
In this work, we demonstrate a novel system, namely Web of Scholars, whi...
research
∙
12/28/2021
Towards Low Light Enhancement with RAW Images
In this paper, we make the first benchmark effort to elaborate on the su...
research
∙
11/29/2021
Deep Video Coding with Dual-Path Generative Adversarial Network
The deep-learning-based video coding has attracted substantial attention...
research
∙
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...
research
∙
09/21/2021
SalienTrack: providing salient information for semi-automated self-tracking feedback with model explanations
Self-tracking can improve people's awareness of their unhealthy behavior...
research
∙
06/16/2021
Revisit Visual Representation in Analytics Taxonomy: A Compression Perspective
Visual analytics have played an increasingly critical role in the Intern...
research
∙
06/08/2021
Demystifying Local Vision Transformer: Sparse Connectivity, Weight Sharing, and Dynamic Weight
Vision Transformer (ViT) attains state-of-the-art performance in visual ...
research
∙
05/03/2021
Turing Number: How Far Are You to A. M. Turing Award?
The ACM A.M. Turing Award is commonly acknowledged as the highest distin...
research
∙
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...
research
∙
03/23/2021
Co-Grounding Networks with Semantic Attention for Referring Expression Comprehension in Videos
In this paper, we address the problem of referring expression comprehens...
research
∙
03/14/2021
Progressive residual learning for single image dehazing
The recent physical model-free dehazing methods have achieved state-of-t...
research
∙
03/07/2021
Graph Force Learning
Features representation leverages the great power in network analysis ta...
research
∙
02/21/2021
Progressive Depth Learning for Single Image Dehazing
The formulation of the hazy image is mainly dominated by the reflected l...
research
∙
02/06/2021
Template-Free Try-on Image Synthesis via Semantic-guided Optimization
The virtual try-on task is so attractive that it has drawn considerable ...
research
∙
10/12/2020
MS^2L: Multi-Task Self-Supervised Learning for Skeleton Based Action Recognition
In this paper, we address self-supervised representation learning from h...
research
∙
08/20/2020
Understanding the Advisor-advisee Relationship via Scholarly Data Analysis
Advisor-advisee relationship is important in academic networks due to it...
research
∙
08/09/2020
Random Walks: A Review of Algorithms and Applications
A random walk is known as a random process which describes a path includ...
research
∙
08/03/2020
From Design Draft to Real Attire: Unaligned Fashion Image Translation
Fashion manipulation has attracted growing interest due to its great app...
research
∙
07/21/2020
Recurrent Exposure Generation for Low-Light Face Detection
Face detection from low-light images is challenging due to limited photo...
research
∙
03/31/2020
Fashion Meets Computer Vision: A Survey
Fashion is the way we present ourselves to the world and has become one ...
research
∙
02/10/2020
Learning End-to-End Lossy Image Compression: A Benchmark
Image compression is one of the most fundamental techniques and commonly...
research
∙
01/31/2020
Modality Compensation Network: Cross-Modal Adaptation for Action Recognition
With the prevalence of RGB-D cameras, multi-modal video data have become...
research
∙
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...
research
∙
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,...
research
∙
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...
research
∙
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...
research
∙
01/09/2020
Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches
Sketch-based image editing aims to synthesize and modify photos based on...
research
∙
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...
research
∙
09/10/2019
Disentangled Image Matting
Most previous image matting methods require a roughly-specificed trimap ...
research
∙
09/09/2019
A Comprehensive Benchmark for Single Image Compression Artifacts Reduction
We present a comprehensive study and evaluation of existing single image...
research
∙
07/27/2019
Reprojection R-CNN: A Fast and Accurate Object Detector for 360° Images
360 images are usually represented in either equirectangular projection ...
research
∙
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...
research
∙
05/08/2019
TE141K: Artistic Text Benchmark for Text Effects Transfer
Text effects are combinations of visual elements such as outlines, color...
research
∙
05/03/2019
Controllable Artistic Text Style Transfer via Shape-Matching GAN
Artistic text style transfer is the task of migrating the style from a s...
research
∙
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...
research
∙
04/06/2019
Unsupervised Person Image Generation with Semantic Parsing Transformation
In this paper, we address unsupervised pose-guided person image generati...
research
∙
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...
research
∙
12/16/2018
TET-GAN: Text Effects Transfer via Stylization and Destylization
Text effects transfer technology automatically makes the text dramatical...
research
∙
12/02/2018
Iterative Reorganization with Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning
Learning visual features from unlabeled image data is an important yet c...
research
∙
11/29/2018
Progressive Recurrent Learning for Visual Recognition
Computer vision is difficult, partly because the mathematical function c...
research
∙
11/29/2018
