122 citations · 130 across the 5 of their papers we have counts for
5 papers
Augmented Reality based Simulated Data (ARSim) with multi-view consistency for AV perception networks
Aqeel Anwar, Tae Eun Choe, Zian Wang +2
Detecting a diverse range of objects under various driving scenarios is essential for the effectiveness of autonomous driving systems. However, the real-world data collected often…
HazardNet: Road Debris Detection by Augmentation of Synthetic Models
Tae Eun Choe, Jane Wu, Xiaolin Lin +2
We present an algorithm to detect unseen road debris using a small set of synthetic models. Early detection of road debris is critical for safe autonomous or assisted driving, yet…
Gen-LaneNet: A Generalized and Scalable Approach for 3D Lane Detection
Yuliang Guo, Guang Chen, Peitao Zhao +4
We present a generalized and scalable method, called Gen-LaneNet, to detect 3D lanes from a single image. The method, inspired by the latest state-of-the-art 3D-LaneNet, is a unifi…
Complex Events Recognition under Uncertainty in a Sensor Network
Atul Kanaujia, Tae Eun Choe, Hongli Deng
Automated extraction of semantic information from a network of sensors for cognitive analysis and human-like reasoning is a desired capability in future ground surveillance systems…
Joint Video and Text Parsing for Understanding Events and Answering Queries
Kewei Tu, Meng Meng, Mun Wai Lee +2
We propose a framework for parsing video and text jointly for understanding events and answering user queries. Our framework produces a parse graph that represents the compositiona…