LabCompass

Yawen Lu

Computer Science · Purdue University West Lafayette

Mid career · publishing since 2004

Publications

49

Citations

553

Est. group size

~1

Recurring co-author estimate

Active years

22

Publishing since 2004

Research summary
AI-generated

Yawen Lu's research centers on computer vision and 3D reconstruction, including estimating depth and shape from single images or video, matching images from different sensors (like thermal and visible light cameras), and reconstructing 3D structures such as faces and plant roots. Earlier work focused heavily on self-supervised methods for depth estimation, stereo matching, and sensor fusion (e.g., combining LiDAR with cameras), while more recent publications branch into varied applied topics such as bioinformatics, manufacturing defect detection, and federated learning. The bulk of the highly active publication record (especially 2021) centers on unsupervised and self-supervised 3D vision techniques.

3D reconstruction and depth estimationSelf-supervised and unsupervised computer visionMulti-sensor image matching (thermal, visible, LiDAR)Plant root and biological structure imagingApplied machine learning across diverse domains

Publication output was minimal before 2019, peaked sharply in 2021, and has fluctuated since with another rise in 2024, suggesting an uneven but generally active recent publication pace.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 5.0/year recently
17182019: 4 publications192020: 2 publications202021: 14 publications14212022: 6 publications222023: 3 publications232024: 10 publications242025: 6 publications2526
Recent publications
Publishes in
  • arXiv (Cornell University)×4
  • IEEE Robotics and Automation Letters×3
  • 2022 International Joint Conference on Neural Networks (IJCNN)×3
  • IEEE Transactions on Image Processing×1
  • Multimedia Tools and Applications×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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