1.2k citations · 1.4k across the 49 of their papers we have counts for
6 papers · 2 filters
Action-Slot: Structured Action-Centric Representation Learning for Multi-Agent Atomic Activity Understanding
Yu-Ho Chang, Chi-Hsi Kung, Yi-Hsuan Tsai +1
Atomic activity understanding aims to recognize and localize structured traffic behaviors that jointly encode motion patterns and their grounding in road topology. Unlike conventio…
ECoSim: Data Efficient Fine-Tuning for Controllable Traffic Simulation
Yu-Hsiang Chen, Wei-Jer Chang, Yi-Ting Chen +1
Controllable traffic simulation is critical for testing autonomous driving systems, yet existing approaches often require retraining large generative models with extensive annotate…
Gemini Embedding 2: A Native Multimodal Embedding Model from Gemini
Madhuri Shanbhogue, Zhe Li, Shanfeng Zhang +86
We introduce Gemini Embedding 2, a native multimodal embedding model that allows embedding video, audio, image, and text modalities in a unified representation space. We leverage t…
NudgeVAD: Language-Nudged End-to-End Driving via FiLM Residuals
Chieh-Chi Yang, Yu-Hsiang Chen, Yi-Ting Chen
Natural-language instructions promise controllable end-to-end driving, but their benefit can be hidden when planners already receive reliable high-level commands. We propose NudgeV…
Uncertainty-Aware Vision-based Risk Object Identification via Conformal Risk Tube Prediction
Kai-Yu Fu, Yi-Ting Chen
We study object importance-based vision risk object identification (Vision-ROI), a key capability for hazard detection in intelligent driving systems. Existing approaches make dete…
Towards Driver Behavior Understanding: Weakly-Supervised Risk Perception in Driving Scenes
Nakul Agarwal, Yi-Ting Chen, Behzad Dariush
Achieving zero-collision mobility remains a key objective for intelligent vehicle systems, which requires understanding driver risk perception-a complex cognitive process shaped by…