108 citations · 146 across the 6 of their papers we have counts for
14 papers · 1 filter
CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous Driving
Hao Shi, Yifan Zhou, Kailun Yang +2
Optical flow estimation is an essential task in self-driving systems, which helps autonomous vehicles perceive temporal continuity information of surrounding scenes. The calculatio…
Panoramic Depth Estimation via Supervised and Unsupervised Learning in Indoor Scenes
Keyang Zhou, Kailun Yang, Kaiwei Wang
Depth estimation, as a necessary clue to convert 2D images into the 3D space, has been applied in many machine vision areas. However, to achieve an entire surrounding 360-degree ge…
Aerial-PASS: Panoramic Annular Scene Segmentation in Drone Videos
Lei Sun, Jia Wang, Kailun Yang +4
Aerial pixel-wise scene perception of the surrounding environment is an important task for UAVs (Unmanned Aerial Vehicles). Previous research works mainly adopt conventional pinhol…
Polarization-driven Semantic Segmentation via Efficient Attention-bridged Fusion
Kaite Xiang, Kailun Yang, Kaiwei Wang
Semantic Segmentation (SS) is promising for outdoor scene perception in safety-critical applications like autonomous vehicles, assisted navigation and so on. However, traditional S…
Universal Semantic Segmentation for Fisheye Urban Driving Images
Yaozu Ye, Kailun Yang, Kaite Xiang +2
Semantic segmentation is a critical method in the field of autonomous driving. When performing semantic image segmentation, a wider field of view (FoV) helps to obtain more informa…
OpenMPR: Recognize Places Using Multimodal Data for People with Visual Impairments
Ruiqi Cheng, Kaiwei Wang, Jian Bai +1
Place recognition plays a crucial role in navigational assistance, and is also a challenging issue of assistive technology. The place recognition is prone to erroneous localization…