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Jiaying Liu

Jiaying Liu

D-Index & Metrics

Computer Science

D-Index
66
Citations
18926
World Ranking
2310
National Ranking
316

Overview

Jiaying Liu is a researcher affiliated with Peking University in China, specializing in areas within computer science and engineering. Their work primarily focuses on advanced image processing and computer vision techniques, with extensive contributions to both theoretical and applied research domains.

The main fields of study for Jiaying Liu include:

  • Computer Science
  • Engineering

Their research interests extend to specialized subfields such as:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Biomedical Engineering
  • Materials Chemistry

The topics frequently covered in their publications encompass:

  • Advanced Image Processing Techniques
  • Image Enhancement Techniques
  • Advanced Vision and Imaging
  • Generative Adversarial Networks and Image Synthesis
  • Human Pose and Action Recognition
  • Image and Signal Denoising Methods
  • Anomaly Detection Techniques and Applications

Jiaying Liu has published extensively across several well-known venues, reflecting a focus on computer vision and pattern recognition research. Frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • SSRN Electronic Journal
  • Proceedings of the AAAI Conference on Artificial Intelligence

Their recent notable papers include:

  • "Sparse Gradient Regularized Deep Retinex Network for Robust Low-Light Image Enhancement", 2021, IEEE Transactions on Image Processing
  • "LR3M: Robust Low-Light Enhancement via Low-Rank Regularized Retinex Model", 2020, IEEE Transactions on Image Processing
  • "Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study", 2020, IEEE Transactions on Image Processing
  • "Single Image Deraining: From Model-Based to Data-Driven and Beyond", 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Benchmarking Low-Light Image Enhancement and Beyond", 2021, International Journal of Computer Vision

Liu has collaborated frequently with coauthors including:

  • Wenhan Yang
  • Lilang Lin
  • Wenjing Wang
  • Yueyu Hu
  • Jiahang Zhang

Best Publications

  • Deep Joint Rain Detection and Removal from a Single Image

    Wenhan Yang;Robby T. Tan;Jiashi Feng;Jiaying Liu

  • Structure-Revealing Low-Light Image Enhancement Via Robust Retinex Model

    Mading Li;Jiaying Liu;Wenhan Yang;Xiaoyan Sun

  • Deep Retinex Decomposition for Low-Light Enhancement

    Chen Wei;Wenjing Wang;Wenhan Yang;Jiaying Liu

  • An end-to-end spatio-temporal attention model for human action recognition from skeleton data

    Sijie Song;Cuiling Lan;Junliang Xing;Wenjun Zeng

  • Attentive Generative Adversarial Network for Raindrop Removal from A Single Image

    Rui Qian;Robby T. Tan;Wenhan Yang;Jiajun Su

  • Sparse Gradient Regularized Deep Retinex Network for Robust Low-Light Image Enhancement

    Wenhan Yang;Wenjing Wang;Haofeng Huang;Shiqi Wang

  • Demystifying Neural Style Transfer

    Yanghao Li;Naiyan Wang;Jiaying Liu;Xiaodi Hou

  • From Fidelity to Perceptual Quality: A Semi-Supervised Approach for Low-Light Image Enhancement

    Wenhan Yang;Shiqi Wang;Yuming Fang;Yue Wang

  • Adaptive Batch Normalization for practical domain adaptation

    Yanghao Li;Naiyan Wang;Jianping Shi;Xiaodi Hou

  • Revisiting Batch Normalization For Practical Domain Adaptation

    Yanghao Li;Naiyan Wang;Jianping Shi;Jiaying Liu

  • Joint Rain Detection and Removal from a Single Image with Contextualized Deep Networks

    Wenhan Yang;Robby T. Tan;Jiashi Feng;Zongming Guo

  • LR3M: Robust Low-Light Enhancement via Low-Rank Regularized Retinex Model

    Xutong Ren;Wenhan Yang;Wen-Huang Cheng;Jiaying Liu

  • Deep Edge Guided Recurrent Residual Learning for Image Super-Resolution

    Wenhan Yang;Jiashi Feng;Jianchao Yang;Fang Zhao

  • GLADNet: Low-Light Enhancement Network with Global Awareness

    Wenjing Wang;Chen Wei;Wenhan Yang;Jiaying Liu

  • Single Image Deraining: From Model-Based to Data-Driven and Beyond

    Wenhan Yang;Robby T. Tan;Shiqi Wang;Yuming Fang

  • Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study

    Wenhan Yang;Ye Yuan;Wenqi Ren;Jiaying Liu

  • Benchmarking Low-Light Image Enhancement and Beyond

    Jiaying Liu;Dejia Xu;Wenhan Yang;Minhao Fan

  • Spatio-Temporal Attention-Based LSTM Networks for 3D Action Recognition and Detection

    Sijie Song;Cuiling Lan;Junliang Xing;Wenjun Zeng

  • Joint Enhancement and Denoising Method via Sequential Decomposition

    Xutong Ren;Mading Li;Wen-Huang Cheng;Jiaying Liu

  • Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics

    Lingyu Duan;Jiaying Liu;Wenhan Yang;Tiejun Huang

  • Online Human Action Detection Using Joint Classification-Regression Recurrent Neural Networks

    Yanghao Li;Cuiling Lan;Junliang Xing;Wenjun Zeng

  • PKU-MMD: A Large Scale Benchmark for Continuous Multi-Modal Human Action Understanding.

    Chunhui Liu;Yueyu Hu;Yanghao Li;Sijie Song

Frequent Co-Authors

Zongming Guo
Zongming Guo Peking University
Wenhan Yang
Wenhan Yang Peking University
Shiqi Wang
Shiqi Wang City University of Hong Kong
Yuming Fang
Yuming Fang Jiangxi University of Finance and Economics
Wenjun Zeng
Wenjun Zeng Microsoft (United States)
Zhangyang Wang
Zhangyang Wang The University of Texas at Austin
Jiashi Feng
Jiashi Feng ByteDance
Ling-Yu Duan
Ling-Yu Duan Peking University
Junliang Xing
Junliang Xing Tsinghua University
Shuicheng Yan
Shuicheng Yan National University of Singapore

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