17 citations · 31 across the 14 of their papers we have counts for
14 papers
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…
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…
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…
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…
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…
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…
UniMSF: A Unified Multi-Sensor Fusion Framework for Intelligent Transportation System Global Localization
Wei Liu, Jiaqi Zhu, Guirong Zhuo +8
Intelligent transportation systems (ITS) localization is of significant importance as it provides fundamental position and orientation for autonomous operations like intelligent ve…
MCPDepth: Omnidirectional Depth Estimation via Stereo Matching from Multi-Cylindrical Panoramas
Feng Qiao, Zhexiao Xiong, Xinge Zhu +3
Omnidirectional depth estimation presents a significant challenge due to the inherent distortions in panoramic images. Despite notable advancements, the impact of projection method…
Learning to Adapt SAM for Segmenting Cross-domain Point Clouds
Xidong Peng, Runnan Chen, Feng Qiao +6
Unsupervised domain adaptation (UDA) in 3D segmentation tasks presents a formidable challenge, primarily stemming from the sparse and unordered nature of point cloud data. Especial…
StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain Adaptation
Zhexiao Xiong, Feng Qiao, Yu Zhang +1
We introduce a novel training strategy for stereo matching and optical flow estimation that utilizes image-to-image translation between synthetic and real image domains. Our approa…
DUFormer: Solving Power Line Detection Task in Aerial Images using Semantic Segmentation
Deyu An, Qiang Zhang, Jianshu Chao +4
Unmanned aerial vehicles (UAVs) are frequently used for inspecting power lines and capturing high-resolution aerial images. However, detecting power lines in aerial images is diffi…
QuadFormer: Quadruple Transformer for Unsupervised Domain Adaptation in Power Line Segmentation of Aerial Images
Pratyaksh Prabhav Rao, Feng Qiao, Weide Zhang +4
Accurate segmentation of power lines in aerial images is essential to ensure the flight safety of aerial vehicles. Acquiring high-quality ground truth annotations for training a de…
STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes
Peishan Cong, Xinge Zhu, Feng Qiao +7
Accurately detecting and tracking pedestrians in 3D space is challenging due to large variations in rotations, poses and scales. The situation becomes even worse for dense crowds w…
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition
Shuang Li, Kaixiong Gong, Chi Harold Liu +3
Real-world training data usually exhibits long-tailed distribution, where several majority classes have a significantly larger number of samples than the remaining minority classes…