Qiao Gu
Scholar

Qiao Gu

Google Scholar ID: MF7ISVAAAAAJ
Meta, University of Toronto
Computer VisionRoboticsMachine Learning
Citations & Impact
All-time
Citations
1,014
 
H-index
9
 
i10-index
9
 
Publications
14
 
Co-authors
18
list available
Resume (English only)
Academic Achievements
  • Selected Publications:
  • 1. SAFE: Scalable Failure Estimation for Vision-Language-Action Models
  • 2. SICNav-Diffusion: Safe and Interactive Crowd Navigation with Diffusion Trajectory Predictions
  • 3. EgoLifter: Open-world 3D Segmentation for Egocentric Perception
  • 4. ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning
  • 5. ConceptFusion: Open-set Multimodal 3D Mapping
  • 6. Preserving Linear Separability in Continual Learning by Backward Feature Projection
  • 7. OSSID: Online Self-supervised Instance Detection by (and for) Pose Estimation
  • 8. ZePHyR: Zero-shot Pose Hypothesis Rating
  • 9. Deep Video Matting via Spatio-Temporal Alignment and Aggregation
  • 10. LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup
Research Experience
  • 1. Research Intern at Meta Reality Labs, working on video generation models, mentored by Julian Straub
  • 2. Completed a research internship at Meta Reality Labs focusing on egocentric 3D perception, working closely with Zhaoyang Lv and Chris Sweeney
  • 3. Internship at Tencent Youtu Lab
Education
  • 1. Ph.D. in Computer Science: University of Toronto, advised by Prof. Florian Shkurti
  • 2. Master's degree in Robotics: Carnegie Mellon University, advised by Prof. David Held and Prof. Martial Hebert
  • 3. Bachelor's degree: Hong Kong University of Science and Technology, worked with Prof. Chi-Keung Tang and Prof. Yu-Wing Tai
Background
  • Ph.D. student in Computer Science at the University of Toronto, focusing on 3D computer vision and robotics, particularly on developing robot perception and action algorithms that generalize to and adapt in novel environments.
Miscellany
  • Teaching Assistant for CSC384 - Intro to Artificial Intelligence, Fall 2022 at UofT