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MS^2L: Multi-Task Self-Supervised Learning for Skeleton Based Action Recognition
In this paper, we address self-supervised representation learning from h...
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Understanding the Advisor-advisee Relationship via Scholarly Data Analysis
Advisor-advisee relationship is important in academic networks due to it...
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Random Walks: A Review of Algorithms and Applications
A random walk is known as a random process which describes a path includ...
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From Design Draft to Real Attire: Unaligned Fashion Image Translation
Fashion manipulation has attracted growing interest due to its great app...
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Recurrent Exposure Generation for Low-Light Face Detection
Face detection from low-light images is challenging due to limited photo...
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Fashion Meets Computer Vision: A Survey
Fashion is the way we present ourselves to the world and has become one ...
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Learning End-to-End Lossy Image Compression: A Benchmark
Image compression is one of the most fundamental techniques and commonly...
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Modality Compensation Network: Cross-Modal Adaptation for Action Recognition
With the prevalence of RGB-D cameras, multi-modal video data have become...
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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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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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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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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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Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches
Sketch-based image editing aims to synthesize and modify photos based on...
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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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Disentangled Image Matting
Most previous image matting methods require a roughly-specificed trimap ...
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A Comprehensive Benchmark for Single Image Compression Artifacts Reduction
We present a comprehensive study and evaluation of existing single image...
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Reprojection R-CNN: A Fast and Accurate Object Detector for 360° Images
360 images are usually represented in either equirectangular projection ...
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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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TE141K: Artistic Text Benchmark for Text Effects Transfer
Text effects are combinations of visual elements such as outlines, color...
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Controllable Artistic Text Style Transfer via Shape-Matching GAN
Artistic text style transfer is the task of migrating the style from a s...
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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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Unsupervised Person Image Generation with Semantic Parsing Transformation
In this paper, we address unsupervised pose-guided person image generati...
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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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TET-GAN: Text Effects Transfer via Stylization and Destylization
Text effects transfer technology automatically makes the text dramatical...
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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...
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Progressive Recurrent Learning for Visual Recognition
Computer vision is difficult, partly because the mathematical function c...
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Generalized Graph Convolutional Networks for Skeleton-based Action Recognition
With the prevalence of accessible depth sensors, dynamic human body skel...
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Temporal Bilinear Networks for Video Action Recognition
Temporal modeling in videos is a fundamental yet challenging problem in ...
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Weakly Supervised Scene Parsing with Point-based Distance Metric Learning
Semantic scene parsing is suffering from the fact that pixel-level annot...
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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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Deep Retinex Decomposition for Low-Light Enhancement
Retinex model is an effective tool for low-light image enhancement. It a...
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Progressive Spatial Recurrent Neural Network for Intra Prediction
Intra prediction is an important component of modern video codecs, which...
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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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DMCNN: Dual-Domain Multi-Scale Convolutional Neural Network for Compression Artifacts Removal
JPEG is one of the most commonly used standards among lossy image compre...
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Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image Restoration
In this paper, we propose a new control framework called the moving endp...
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Joint Enhancement and Denoising Method via Sequential Decomposition
Many low-light enhancement methods ignore intensive noise in original im...
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Attentive Generative Adversarial Network for Raindrop Removal from a Single Image
Raindrops adhered to a glass window or camera lens can severely hamper t...
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PKU-MMD: A Large Scale Benchmark for Continuous Multi-Modal Human Action Understanding
Despite the fact that many 3D human activity benchmarks being proposed, ...
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Dual Recovery Network with Online Compensation for Image Super-Resolution
The image super-resolution (SR) methods will essentially lead to a loss ...
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Demystifying Neural Style Transfer
Neural Style Transfer has recently demonstrated very exciting results wh...
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Awesome Typography: Statistics-Based Text Effects Transfer
In this work, we explore the problem of generating fantastic special-eff...
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An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data
Human action recognition is an important task in computer vision. Extrac...
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Factorized Bilinear Models for Image Recognition
Although Deep Convolutional Neural Networks (CNNs) have liberated their ...
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Deep Joint Rain Detection and Removal from a Single Image
In this paper, we address a rain removal problem from a single image, ev...
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Photo Stylistic Brush: Robust Style Transfer via Superpixel-Based Bipartite Graph
With the rapid development of social network and multimedia technology, ...
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Online Human Action Detection using Joint Classification-Regression Recurrent Neural Networks
Human action recognition from well-segmented 3D skeleton data has been i...
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Revisiting Batch Normalization For Practical Domain Adaptation
Deep neural networks (DNN) have shown unprecedented success in various c...
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