Yawen Lu
Computer Science · Purdue University West Lafayette
Publications
49
Citations
553
Est. group size
~1
Recurring co-author estimate
Active years
22
Publishing since 2004
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.
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
- Generative Large Model Validation Mechanism for Blockchain Federated Learning Technology
2025
- iDNA-DAPHA: a generic framework for methylation prediction via domain-adaptive pretraining and hierarchical attention
Briefings in Bioinformatics · 2025
- Application of the Improved YOLOv12 Model in the Task of Error and Missing Installation Prevention for Small Components in Automobile Final Assembly Workshops
2025
- Pyruvate Kinase M2‐Responsive Release of Paclitaxel and Indoleamine 2,3‐Dioxygenase Inhibitor for Immuno‐Chemotherapy of Nonsmall Cell Lung Cancer
Advanced Science · 2024
- From Local to Holistic: Self-supervised Single Image 3D Face Reconstruction Via Multi-level Constraints
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 2022
- 3D Modeling Beneath Ground: Plant Root Detection and Reconstruction Based on Ground-Penetrating Radar
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) · 2022
- An Unsupervised Approach for Simultaneous Visual Odometry and Single Image Depth Estimation
2022 International Joint Conference on Neural Networks (IJCNN) · 2022
- Self-supervised Depth Estimation from Spectral Consistency and Novel View Synthesis
2022 International Joint Conference on Neural Networks (IJCNN) · 2022
- Multi-view Geometry Consistency Network for Facial Micro-Expression Recognition From Various Perspectives
2022 International Joint Conference on Neural Networks (IJCNN) · 2022
- SuperThermal: Matching Thermal as Visible Through Thermal Feature Exploration
IEEE Robotics and Automation Letters · 2021
- Simultaneous Direct Depth Estimation and Synthesis Stereo for Single Image Plant Root Reconstruction
IEEE Transactions on Image Processing · 2021
- 3D plant root system reconstruction based on fusion of deep structure-from-motion and IMU
Multimedia Tools and Applications · 2021
- Self-Supervised Single-Image Depth Estimation From Focus and Defocus Clues
IEEE Robotics and Automation Letters · 2021
- An Alternative of LiDAR in Nighttime: Unsupervised Depth Estimation Based on Single Thermal Image
2021
- 3D SceneFlowNet: Self-Supervised 3D Scene Flow Estimation Based on Graph CNN
2021
- 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
- Mostafa Elhashash
Computer Science · The Ohio State University
- Debao Huang
Computer Science · The Ohio State University
- Charles V. Stewart
Computer Science · The Ohio State University
- Chenhao Zhang
Computer Science · Purdue University West Lafayette
- Yezhi Shen
Computer Science · Purdue University West Lafayette
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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