Scholar
Feng Qiao
Google Scholar ID: Gayn4OIAAAAJ
Washington University in St. Louis
Computer Vision
Artificial Intelligence
Autonomous Driving
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Citations & Impact
All-time
Citations
348
H-index
6
i10-index
5
Publications
16
Co-authors
0
Contact
Email
f.qiao@wustl.edu
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Publications
5 items
GenOpticalFlow: A Generative Approach to Unsupervised Optical Flow Learning
2026
Cited
0
Video Understanding: From Geometry and Semantics to Unified Models
2026
Cited
0
PhysAlign: Physics-Coherent Image-to-Video Generation through Feature and 3D Representation Alignment
2026
Cited
0
GenStereo: Towards Open-World Generation of Stereo Images and Unsupervised Matching
2025
Cited
0
MCPDepth: Omnidirectional Depth Estimation via Stereo Matching from Multi-Cylindrical Panoramas
arXiv.org · 2024
Cited
1
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)
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