Feng Qiao
Scholar

Feng Qiao

Google Scholar ID: Gayn4OIAAAAJ
Washington University in St. Louis
Computer VisionArtificial IntelligenceAutonomous Driving
Citations & Impact
All-time
Citations
348
 
H-index
6
 
i10-index
5
 
Publications
16
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • MCPDepth accepted by WACV 2026 (Round 1, ~6% acceptance rate) — a two-stage framework for omnidirectional depth estimation using multi-cylindrical panoramas
  • GenStereo accepted by ICCV 2025 — a diffusion-based method for stereo image generation and unsupervised matching
  • One paper accepted by ECCV 2024
  • QuadFormer accepted by UR 2024
  • StereoFlowGAN accepted by BMVC 2023
Background
  • PhD student in Computer Science at Washington University in St. Louis (WashU)
  • Member of the Multimodal Vision Research Laboratory (MVRL), advised by Prof. Nathan Jacobs
  • Over five years of industry experience in perception algorithms for autonomous driving and robotics
  • Research interests: computer vision, deep learning, and robotics
  • Current research focuses on Content Generation and 3D Vision (3DV)
  • Seeking internship opportunities for 2026
Co-authors
0 total
Co-authors: 0 (list not available)