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Junliang Xing

Junliang Xing

D-Index & Metrics

Computer Science

D-Index
55
Citations
23467
World Ranking
4183
National Ranking
562

Overview

Junliang Xing is affiliated with Tsinghua University in China and specializes in computer science with a focus on computer vision and pattern recognition. Their research spans a range of topics within artificial intelligence and media technology, including advanced neural network applications and reinforcement learning in robotics.

Their work covers multiple domains such as video surveillance and tracking methods, human pose and action recognition, face recognition and analysis, remote-sensing image classification, and artificial intelligence in games.

  • Multiple object tracking: A literature review (2020, Artificial Intelligence)
  • PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes (2020, Proceedings of the AAAI Conference on Artificial Intelligence)
  • Contrastive Context-Aware Learning for 3D High-Fidelity Mask Face Presentation Attack Detection (2022, IEEE Transactions on Information Forensics and Security)
  • Anti-UAV: A Large-Scale Benchmark for Vision-Based UAV Tracking (2021, IEEE Transactions on Multimedia)
  • Anti-UAV: A Large Multi-Modal Benchmark for UAV Tracking (2021, arXiv (Cornell University))

Xing frequently collaborates with several co-authors, which include:

  • Xuechao Zou
  • Pin Tao
  • Yuanchun Shi
  • Haobo Fu
  • Kai Li

Publications by Xing appear regularly in various well-known venues, with the most frequent being:

  • arXiv (Cornell University) - 46 publications
  • Proceedings of the AAAI Conference on Artificial Intelligence - 12 publications
  • Artificial Intelligence - 2 publications
  • IEEE Transactions on Geoscience and Remote Sensing - 2 publications
  • IET Computer Vision - 2 publications

The scientist has concentrated primarily on advancing techniques for object tracking, pedestrian detection, and anti-UAV tracking benchmarks. Their recent research also addresses the challenge of face presentation attack detection through context-aware learning.

Overall, the body of work by Junliang Xing reflects a comprehensive engagement with topics in artificial intelligence and computer vision, distributed across both theoretical and application-driven research in surveillance, robotics, and multimedia processing.

Best Publications

  • SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks

    Bo Li;Wei Wu;Qiang Wang;Fangyi Zhang

  • The Visual Object Tracking VOT2016 Challenge Results

    Matej Kristan;Aleš Leonardis;Jiři Matas;Michael Felsberg

  • The Visual Object Tracking VOT2017 Challenge Results

    Matej Kristan;Ales Leonardis;Jiri Matas;Michael Felsberg

  • The Visual Object Tracking VOT2015 Challenge Results

    Matej Kristan;Jiri Matas;Ale Leonardis;Michael Felsberg

  • The Visual Object Tracking VOT2013 Challenge Results

    Matej Kristan;Roman Pflugfelder;Ale Leonardis;Jiri Matas

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

    Sijie Song;Cuiling Lan;Junliang Xing;Wenjun Zeng

  • Multiple object tracking: A literature review

    Wenhan Luo;Wenhan Luo;Junliang Xing;Anton Milan;Xiaoqin Zhang

  • Pose-Driven Deep Convolutional Model for Person Re-identification

    Chi Su;Jianing Li;Shiliang Zhang;Junliang Xing

  • Co-occurrence feature learning for skeleton based action recognition using regularized deep LSTM networks

    Wentao Zhu;Cuiling Lan;Junliang Xing;Wenjun Zeng

  • View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data

    Pengfei Zhang;Cuiling Lan;Junliang Xing;Wenjun Zeng

  • Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition

    Pengfei Zhang;Cuiling Lan;Wenjun Zeng;Junliang Xing

  • Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking

    Qiang Wang;Zhu Teng;Junliang Xing;Jin Gao

  • Transfer Learning Based Visual Tracking with Gaussian Processes Regression

    Jin Gao;Haibin Ling;Weiming Hu;Junliang Xing

  • Deep Attributes Driven Multi-camera Person Re-identification

    Chi Su;Shiliang Zhang;Junliang Xing;Wen Gao

  • View Adaptive Neural Networks for High Performance Skeleton-Based Human Action Recognition

    Pengfei Zhang;Cuiling Lan;Junliang Xing;Wenjun Zeng

  • Multi-object tracking through occlusions by local tracklets filtering and global tracklets association with detection responses

    Junliang Xing;Haizhou Ai;Shihong Lao

  • DCFNet: Discriminant Correlation Filters Network for Visual Tracking

    Qiang Wang;Jin Gao;Junliang Xing;Mengdan Zhang

  • A Deep Regression Architecture with Two-Stage Re-initialization for High Performance Facial Landmark Detection

    Jiangjing Lv;Xiaohu Shao;Junliang Xing;Cheng Cheng

  • Towards Pose Invariant Face Recognition in the Wild

    Jian Zhao;Yu Cheng;Yan Xu;Lin Xiong

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

    Sijie Song;Cuiling Lan;Junliang Xing;Wenjun Zeng

  • Robust Facial Landmark Detection via Recurrent Attentive-Refinement Networks

    Shengtao Xiao;Jiashi Feng;Junliang Xing;Hanjiang Lai

  • Multiple Object Tracking: A Literature Review

    Wenhan Luo;Junliang Xing;Anton Milan;Xiaoqin Zhang

Frequent Co-Authors

Weiming Hu
Weiming Hu Chinese Academy of Sciences
Cuiling Lan
Cuiling Lan Microsoft (United States)
Wenjun Zeng
Wenjun Zeng Microsoft (United States)
Shuicheng Yan
Shuicheng Yan National University of Singapore
Haizhou Ai
Haizhou Ai Tsinghua University
Jiashi Feng
Jiashi Feng ByteDance
Stephen J. Maybank
Stephen J. Maybank Birkbeck, University of London
Zhen Lei
Zhen Lei Chinese Academy of Sciences
Haibin Ling
Haibin Ling Westlake University
Jiaying Liu
Jiaying Liu Peking University

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