1.2k citations · 1.4k across the 49 of their papers we have counts for
4 papers · 2 filters
RiskBench: A Scenario-based Benchmark for Risk Identification
Chi-Hsi Kung, Chieh-Chi Yang, Pang-Yuan Pao +4
Intelligent driving systems aim to achieve a zero-collision mobility experience, requiring interdisciplinary efforts to enhance safety performance. This work focuses on risk identi…
Action-slot: Visual Action-centric Representations for Multi-label Atomic Activity Recognition in Traffic Scenes
Chi-Hsi Kung, Shu-Wei Lu, Yi-Hsuan Tsai +1
In this paper, we study multi-label atomic activity recognition. Despite the notable progress in action recognition, it is still challenging to recognize atomic activities due to a…
CLR-GAM: Contrastive Point Cloud Learning with Guided Augmentation and Feature Mapping
Srikanth Malla, Yi-Ting Chen
Point cloud data plays an essential role in robotics and self-driving applications. Yet, annotating point cloud data is time-consuming and nontrivial while they enable learning dis…
Learning Road Scene-level Representations via Semantic Region Prediction
Zihao Xiao, Alan Yuille, Yi-Ting Chen
In this work, we tackle two vital tasks in automated driving systems, i.e., driver intent prediction and risk object identification from egocentric images. Mainly, we investigate t…