World's Best Scientists 2026 revealed!
Dawei Du

Dawei Du

Award Badge
Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
38
Citations
10342
World Ranking
713
National Ranking
245

Computer Science

D-Index
39
Citations
12126
World Ranking
9516
National Ranking
1205

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Dawei Du is affiliated with ByteDance in China and has a substantial body of research primarily in computer science and engineering, with a focus on computer vision and pattern recognition. Their work spans various subfields including artificial intelligence, aerospace engineering, safety and reliability, and medical imaging.

Their recent publications cover topics such as multi-object detection and tracking, domain adaptation, crowd counting, and person search techniques. Notable papers include:

  • Detection and Tracking Meet Drones Challenge (2021), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • UA-DETRAC: A new benchmark and protocol for multi-object detection and tracking (2020), published in Computer Vision and Image Understanding
  • Multi-Granularity Alignment Domain Adaptation for Object Detection (2022), presented at the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Embedding Perspective Analysis Into Multi-Column Convolutional Neural Network for Crowd Counting (2020), published in IEEE Transactions on Image Processing
  • Cascade Transformers for End-to-End Person Search (2022), presented at the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Dawei Du frequently collaborates with a number of researchers, including Longyin Wen, Pengfei Zhu, Libo Zhang, Qinghua Hu, and Christopher Funk. These coauthors have appeared regularly alongside them in publications.

Their work is commonly published in venues such as arXiv, IEEE Transactions on Image Processing, CVPR, IEEE Transactions on Circuits and Systems for Video Technology, and the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

The main topics addressed in Dawei Du's research portfolio include:

  • Video Surveillance and Tracking Methods
  • Advanced Neural Network Applications
  • Anomaly Detection Techniques and Applications
  • Human Pose and Action Recognition
  • UAV Applications and Optimization
  • Domain Adaptation and Few-Shot Learning
  • Fire Detection and Safety Systems

With 86 publications rooted in computer science and 17 in engineering, Dawei Du's contributions also bridge applied areas such as safety, risk, and quality assurance. Their presence in the aerospace engineering and medical imaging subfields reflects interdisciplinary engagement.

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

  • Detection and Tracking Meet Drones Challenge.

    Pengfei Zhu;Longyin Wen;Dawei Du;Xiao Bian

  • The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking

    Dawei Du;Yuankai Qi;Hongyang Yu;Yifan Yang

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

    Longyin Wen;Dawei Du;Zhaowei Cai;Zhen Lei

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

    Dawei Du;Yue Zhang;Zexin Wang;Zhikang Wang

  • 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

  • The Unmanned Aerial Vehicle Benchmark: Object Detection, Tracking and Baseline

    Hongyang Yu;Guorong Li;Weigang Zhang;Qingming Huang

  • 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

  • Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark

    Longyin Wen;Dawei Du;Pengfei Zhu;Qinghua Hu

  • Spatial Attention Pyramid Network for Unsupervised Domain Adaptation

    Congcong Li;Dawei Du;Libo Zhang;Longyin Wen

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

    Michael Felsberg;Matej Kristan;Jiři Matas;Aleš Leonardis

  • VisDrone-VID2019: The Vision Meets Drone Object Detection in Video Challenge Results

    Pengfei Zhu;Yue Zhang;Liefeng Bo;Hailin Shi

  • UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring

    Siwei Lyu;Ming-Ching Chang;Dawei Du;Longyin Wen

  • UA-DETRAC 2018: Report of AVSS2018 & IWT4S Challenge on Advanced Traffic Monitoring

    Siwei Lyu;Ming-Ching Chang;Dawei Du;Wenbo Li

  • Deep low-rank subspace ensemble for multi-view clustering

    Zhe Xue;Junping Du;Dawei Du;Siwei Lyu

  • VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results

    Longyin Wen;Pengfei Zhu;Dawei Du;Xiao Bian

Frequent Co-Authors

Longyin Wen
Longyin Wen ByteDance
Siwei Lyu
Siwei Lyu University at Buffalo, State University of New York
Pengfei Zhu
Pengfei Zhu Tianjin University
Qinghua Hu
Qinghua Hu Tianjin University
Qingming Huang
Qingming Huang University of Chinese Academy of Sciences
Haibin Ling
Haibin Ling Westlake University
Kannappan Palaniappan
Kannappan Palaniappan University of Missouri
Qi Tian
Qi Tian Huawei Technologies (China)
Guna Seetharaman
Guna Seetharaman United States Naval Research Laboratory
Liefeng Bo
Liefeng Bo Alibaba Group (United States)

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