9 citations · 9 across the 2 of their papers we have counts for
4 papers
Reactive and Safe Road User Simulations using Neural Barrier Certificates
Yue Meng, Zengyi Qin, Chuchu Fan
Reactive and safe agent modelings are important for nowadays traffic simulator designs and safe planning applications. In this work, we proposed a reactive agent model which can en…
Localization and Mapping using Instance-specific Mesh Models
Qiaojun Feng, Yue Meng, Mo Shan +1
This paper focuses on building semantic maps, containing object poses and shapes, using a monocular camera. This is an important problem because robots need rich understanding of g…
Learning 3D-aware Egocentric Spatial-Temporal Interaction via Graph Convolutional Networks
Chengxi Li, Yue Meng, Stanley H. Chan +1
To enable intelligent automated driving systems, a promising strategy is to understand how human drives and interacts with road users in complicated driving situations. In this pap…
SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception
Yue Meng, Yongxi Lu, Aman Raj +5
Unsupervised learning for geometric perception (depth, optical flow, etc.) is of great interest to autonomous systems. Recent works on unsupervised learning have made considerable…