b'Jiaying Liu'

research

∙ 07/27/2022

Meta-Interpolation: Time-Arbitrary Frame Interpolation via Dual Meta-Learning

Existing video frame interpolation methods can only interpolate the fram...

Shixing Yu, et al. ∙

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...

Jiahang Zhang, et al. ∙

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...

Wenjing Wang, et al. ∙

research

∙ 03/09/2022

Neural Data-Dependent Transform for Learned Image Compression

Learned image compression has achieved great success due to its excellen...

Dezhao Wang, et al. ∙

research

∙ 02/23/2022

Web of Scholars: A Scholar Knowledge Graph

In this work, we demonstrate a novel system, namely Web of Scholars, whi...

Jiaying Liu, et al. ∙

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...

Haofeng Huang, et al. ∙

research

∙ 11/29/2021

Deep Video Coding with Dual-Path Generative Adversarial Network

The deep-learning-based video coding has attracted substantial attention...

Tiesong Zhao, et al. ∙

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...

Wenhan Yang, et al. ∙

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...

Yunlong Wang, et al. ∙

research

∙ 06/16/2021

Revisit Visual Representation in Analytics Taxonomy: A Compression Perspective

Visual analytics have played an increasingly critical role in the Intern...

Yueyu Hu, et al. ∙

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 ...

Qi Han, et al. ∙

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...

Feng Xia, et al. ∙

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...

Wenjing Wang, et al. ∙

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...

Sijie Song, et al. ∙

research

∙ 03/14/2021

Progressive residual learning for single image dehazing

The recent physical model-free dehazing methods have achieved state-of-t...

Yudong Liang, et al. ∙

research

∙ 03/07/2021

Graph Force Learning

Features representation leverages the great power in network analysis ta...

Ke Sun, et al. ∙

research

∙ 02/21/2021

Progressive Depth Learning for Single Image Dehazing

The formulation of the hazy image is mainly dominated by the reflected l...

Yudong Liang, et al. ∙

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 ...

Chien-Lung Chou, et al. ∙

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...

Lilang Lin, et al. ∙

research

∙ 08/20/2020

Understanding the Advisor-advisee Relationship via Scholarly Data Analysis

Advisor-advisee relationship is important in academic networks due to it...

Jiaying Liu, et al. ∙

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...

Feng Xia, et al. ∙

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...

Yu Han, et al. ∙

research

∙ 07/21/2020

Recurrent Exposure Generation for Low-Light Face Detection

Face detection from low-light images is challenging due to limited photo...

Jinxiu Liang, et al. ∙

research

∙ 03/31/2020

Fashion Meets Computer Vision: A Survey

Fashion is the way we present ourselves to the world and has become one ...

Wen-Huang Cheng, et al. ∙

research

∙ 02/10/2020

Learning End-to-End Lossy Image Compression: A Benchmark

Image compression is one of the most fundamental techniques and commonly...

Yueyu Hu, et al. ∙

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...

Sijie Song, et al. ∙

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...

Dezhao Wang, et al. ∙

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,...

Ling-Yu Duan, et al. ∙

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...

Sifeng Xia, et al. ∙

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...

Yueyu Hu, et al. ∙

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...

Shuai Yang, et al. ∙

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...

Wenhan Yang, et al. ∙

research

∙ 09/10/2019

Disentangled Image Matting

Most previous image matting methods require a roughly-specificed trimap ...

Shaofan Cai, et al. ∙

research

∙ 09/09/2019

A Comprehensive Benchmark for Single Image Compression Artifacts Reduction

We present a comprehensive study and evaluation of existing single image...

Jiaying Liu, et al. ∙

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 ...

Pengyu Zhao, et al. ∙

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...

Jiaying Liu, et al. ∙

research

∙ 05/08/2019

TE141K: Artistic Text Benchmark for Text Effects Transfer

Text effects are combinations of visual elements such as outlines, color...

Shuai Yang, et al. ∙

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...

Shuai Yang, et al. ∙

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...

Wenhan Yang, et al. ∙

research

∙ 04/06/2019

Unsupervised Person Image Generation with Semantic Parsing Transformation

In this paper, we address unsupervised pose-guided person image generati...

Sijie Song, et al. ∙

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...

Rosaura G. VidalMata, et al. ∙

research

∙ 12/16/2018

TET-GAN: Text Effects Transfer via Stylization and Destylization

Text effects transfer technology automatically makes the text dramatical...

Shuai Yang, et al. ∙

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...

Chen Wei, et al. ∙

research

∙ 11/29/2018

Progressive Recurrent Learning for Visual Recognition

Computer vision is difficult, partly because the mathematical function c...

Xutong Ren, et al. ∙

research

∙ 11/29/2018

Generalized Graph Convolutional Networks for Skeleton-based Action Recognition

With the prevalence of accessible depth sensors, dynamic human body skel...

Xiang Gao, et al. ∙

research

∙ 11/25/2018

Temporal Bilinear Networks for Video Action Recognition

Temporal modeling in videos is a fundamental yet challenging problem in ...

Yanghao Li, et al. ∙

research

∙ 11/06/2018

Weakly Supervised Scene Parsing with Point-based Distance Metric Learning

Semantic scene parsing is suffering from the fact that pixel-level annot...

Rui Qian, et al. ∙

research

∙ 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...

Shuai Yang, et al. ∙

research

∙ 08/14/2018

Deep Retinex Decomposition for Low-Light Enhancement

Retinex model is an effective tool for low-light image enhancement. It a...

Chen Wei, et al. ∙

research

∙ 07/06/2018

Progressive Spatial Recurrent Neural Network for Intra Prediction

Intra prediction is an important component of modern video codecs, which...

Yueyu Hu, et al. ∙

Jiaying Liu

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