626 citations · 788 across the 14 of their papers we have counts for
6 papers · 1 filter
Part-level Car Parsing and Reconstruction from Single Street View
Qichuan Geng, Hong Zhang, Xinyu Huang +5
Part information has been shown to be resistant to occlusions and viewpoint changes, which is beneficial for various vision-related tasks. However, we found very limited work in ca…
Learning Depth with Convolutional Spatial Propagation Network
Xinjing Cheng, Peng Wang, Ruigang Yang
Depth prediction is one of the fundamental problems in computer vision. In this paper, we propose a simple yet effective convolutional spatial propagation network (CSPN) to learn t…
Getting Robots Unfrozen and Unlost in Dense Pedestrian Crowds
Tingxiang Fan, Xinjing Cheng, Jia Pan +4
We aim to enable a mobile robot to navigate through environments with dense crowds, e.g., shopping malls, canteens, train stations, or airport terminals. In these challenging envir…
Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network
Xinjing Cheng, Peng Wang, Ruigang Yang
Depth estimation from a single image is a fundamental problem in computer vision. In this paper, we propose a simple yet effective convolutional spatial propagation network (CSPN)…
CrowdMove: Autonomous Mapless Navigation in Crowded Scenarios
Tingxiang Fan, Xinjing Cheng, Jia Pan +2
Navigation is an essential capability for mobile robots. In this paper, we propose a generalized yet effective 3M (i.e., multi-robot, multi-scenario, and multi-stage) training fram…
The ApolloScape Open Dataset for Autonomous Driving and its Application
Xinyu Huang, Peng Wang, Xinjing Cheng +3
Autonomous driving has attracted tremendous attention especially in the past few years. The key techniques for a self-driving car include solving tasks like 3D map construction, se…