Scholar
Connor Lee
Google Scholar ID: tNEn4WEAAAAJ
California Institute of Technology
Citations & Impact
Citations
119
H-index
6
i10-index
4
Publications
13
Co-authors
15
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including:
- - MonoTher-Depth: Enhancing Thermal Depth Estimation via Confidence-Aware Distillation (IEEE Robotics and Automation Letters, 2025)
- - Vision-Based Detection of Uncooperative Targets and Components on Small Satellites (Small Satellite Conference, 2024)
- - Semantics from Space: Satellite-Guided Thermal Semantic Segmentation Annotation for Aerial Field Robots (IROS, 2024)
- - Caltech Aerial RGB-Thermal Dataset in the Wild (ECCV, 2024)
- - RGB-X Object Detection via Scene-Specific Fusion Modules (WACV, 2024)
- - Online Self-Supervised Thermal Water Segmentation for Aerial Vehicles (IROS, 2023) - Finalist for IROS Best Paper Award on Agri-Robotics
- - Unsupervised RGB-to-Thermal Domain Adaptation via Multi-Domain Attention Network (ICRA, 2023)
- - Self-Supervised Landmark Discovery for Terrain-Relative Navigation (ICRA Workshop, 2023)
- - A Seasonally Invariant Deep Transform for Visual Terrain-Relative Navigation (Science Robotics, 2021)
Research Experience
- Worked at Google AR on motion tracking for augmented reality devices; at Apple on self-supervised learning for Siri Visual Intelligence; and at Microsoft on identity and secure access.
Education
- Ph.D. from California Institute of Technology, specializing in robot localization and semantic perception in the Autonomous Robotics and Controls Laboratory; B.S. in Computer Science from Caltech.
Background
- Research interests include computer vision, machine learning, and controls. Currently working at Google Labs, focusing on Project Starline.
