activity
20212026
most citedMetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition

17 citations · 29 across the 10 of their papers we have counts for

collaborators

13 papers

cs.CV2026

Track2View: 4D-Consistent Camera-Controlled Video Generation via Paired 3D Point Tracks

Feng Qiao, Zhaochong An, Zhexiao Xiong +2

Re-rendering an existing video from a novel camera viewpoint requires the output to follow the prescribed camera trajectory while preserving the appearance and dynamics of the orig…

cs.CV2026

StereoGenBench: A Synthetic Multi-Camera Benchmark for Stereo Generation under Controlled Baseline Regimes

Yangzhi Cui, Feng Qiao, Nathan Jacobs

Stereo image and video generation, stereo geometry estimation, and condition-controlled view synthesis require paired data in which the variables that determine binocular geometry…

cs.CV2026

GenOpticalFlow: A Generative Approach to Unsupervised Optical Flow Learning

Yixuan Luo, Feng Qiao, Zhexiao Xiong +2

Optical flow estimation is a fundamental problem in computer vision, yet the reliance on expensive ground-truth annotations limits the scalability of supervised approaches. Althoug…

cs.CV20262 cited

Video Understanding: From Geometry and Semantics to Unified Models

Zhaochong An, Zirui Li, Mingqiao Ye +9

Video understanding aims to enable models to perceive, reason about, and interact with the dynamic visual world. In contrast to image understanding, video understanding inherently…

cs.CV2026

PhysAlign: Physics-Coherent Image-to-Video Generation through Feature and 3D Representation Alignment

Zhexiao Xiong, Yizhi Song, Liu He +4

Video Diffusion Models (VDMs) offer a promising approach for simulating dynamic scenes and environments, with broad applications in robotics and media generation. However, existing…

cs.CV2025

Towards Open-World Generation of Stereo Images and Unsupervised Matching

Feng Qiao, Zhexiao Xiong, Eric Xing +1

Stereo images are fundamental to numerous applications, including extended reality (XR) devices, autonomous driving, and robotics. Unfortunately, acquiring high-quality stereo imag…