World's Best Scientists 2026 revealed!
Longyin Wen

Longyin Wen

Award Badge
Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
47
Citations
14068
World Ranking
376
National Ranking
123

Computer Science

D-Index
48
Citations
15919
World Ranking
6029
National Ranking
800

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Longyin Wen is a researcher affiliated with ByteDance in China, specializing in computer science with a focus on computer vision and pattern recognition. The body of work includes substantial contributions to advanced neural network applications, video surveillance and tracking methods, and anomaly detection techniques.

The scientist's publication record features numerous papers in peer-reviewed venues and preprint archives. Frequent publication venues include arXiv (Cornell University), IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Image Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence, and Computer Vision and Image Understanding.

Recent notable papers are:

  • Detection and Tracking Meet Drones Challenge (2021), IEEE Transactions on Pattern Analysis and Machine Intelligence
  • UA-DETRAC: A new benchmark and protocol for multi-object detection and tracking (2020), Computer Vision and Image Understanding
  • RefineDet++: Single-Shot Refinement Neural Network for Object Detection (2020), IEEE Transactions on Circuits and Systems for Video Technology
  • Towards Real-World Prohibited Item Detection: A Large-Scale X-ray Benchmark (2021), 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Multi-Drone-Based Single Object Tracking With Agent Sharing Network (2020), IEEE Transactions on Circuits and Systems for Video Technology

The main fields of study and subfields the researcher has contributed to include:

  • Computer Science
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Aerospace Engineering
  • Safety, Risk, Reliability and Quality
  • Biomedical Engineering

Key research topics covered by Longyin Wen are:

  • Advanced Neural Network Applications
  • Video Surveillance and Tracking Methods
  • Anomaly Detection Techniques and Applications
  • UAV Applications and Optimization
  • Human Pose and Action Recognition
  • Advanced Image and Video Retrieval Techniques
  • Fire Detection and Safety Systems

Collaborations form an integral part of this scientist's work. Frequent co-authors include Dawei Du, Libo Zhang, Pengfei Zhu, Qinghua Hu, and Heng Fan.

Best Publications

  • 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

  • Single-Shot Refinement Neural Network for Object Detection

    Shifeng Zhang;Longyin Wen;Xiao Bian;Zhen Lei

  • Detection and Tracking Meet Drones Challenge.

    Pengfei Zhu;Longyin Wen;Dawei Du;Xiao Bian

  • UA-DETRAC: A new benchmark and protocol for multi-object detection and tracking

    Longyin Wen;Dawei Du;Zhaowei Cai;Zhen Lei

  • Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd

    Shifeng Zhang;Longyin Wen;Xiao Bian;Zhen Lei

  • VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results

    Dawei Du;Yue Zhang;Zexin Wang;Zhikang Wang

  • The Visual Object Tracking VOT2014 challenge results

    Matej Kristan;Roman P. Pflugfelder;Ales Leonardis;Jiri Matas

  • The Fastest Deformable Part Model for Object Detection

    Junjie Yan;Zhen Lei;Longyin Wen;Stan Z. Li

  • Vision Meets Drones: A Challenge

    Pengfei Zhu;Longyin Wen;Xiao Bian;Haibin Ling

  • VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results.

    Dawei Du;Longyin Wen;Pengfei Zhu;Heng Fan

  • Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization

    Ruyi Ji;Longyin Wen;Libo Zhang;Dawei Du

  • Multiple Target Tracking Based on Undirected Hierarchical Relation Hypergraph

    Longyin Wen;Wenbo Li;Junjie Yan;Zhen Lei

  • ScratchDet: Training Single-Shot Object Detectors From Scratch

    Rui Zhu;Shifeng Zhang;Xiaobo Wang;Longyin Wen

  • The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results

    Michael Felsberg;Amanda Berg;Gustav Hager;Jorgen Ahlberg

  • VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results

    Pengfei Zhu;Longyin Wen;Dawei Du;Xiao Bian

  • Vision Meets Drones: Past, Present and Future

    Pengfei Zhu;Longyin Wen;Dawei Du;Xiao Bian

  • JOTS: Joint Online Tracking and Segmentation

    Longyin Wen;Dawei Du;Zhen Lei;Stan Z. Li

  • Robust deformable and occluded object tracking with dynamic graph.

    Zhaowei Cai;Longyin Wen;Zhen Lei;Nuno Vasconcelos

  • The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results

    Michael Felsberg;Matej Kristan;Jiři Matas;Aleš Leonardis

  • Stochastic online AUC maximization

    Yiming Ying;Longyin Wen;Siwei Lyu

Frequent Co-Authors

Dawei Du
Dawei Du ByteDance
Siwei Lyu
Siwei Lyu University at Buffalo, State University of New York
Zhen Lei
Zhen Lei Chinese Academy of Sciences
Pengfei Zhu
Pengfei Zhu Tianjin University
Qinghua Hu
Qinghua Hu Tianjin University
Stan Z. Li
Stan Z. Li Westlake University
Qingming Huang
Qingming Huang University of Chinese Academy of Sciences
Haibin Ling
Haibin Ling Westlake University
Liefeng Bo
Liefeng Bo Alibaba Group (United States)
Shifeng Zhang
Shifeng Zhang Beijing Forestry University

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