2 citations · 4 across the 5 of their papers we have counts for
5 papers
KPConvX: Modernizing Kernel Point Convolution with Kernel Attention
Hugues Thomas, Yao-Hung Hubert Tsai, Timothy D. Barfoot +1
In the field of deep point cloud understanding, KPConv is a unique architecture that uses kernel points to locate convolutional weights in space, instead of relying on Multi-Layer…
Efficient Non-Parametric Uncertainty Quantification for Black-Box Large Language Models and Decision Planning
Yao-Hung Hubert Tsai, Walter Talbott, Jian Zhang
Step-by-step decision planning with large language models (LLMs) is gaining attention in AI agent development. This paper focuses on decision planning with uncertainty estimation t…
Multimodal Large Language Model for Visual Navigation
Yao-Hung Hubert Tsai, Vansh Dhar, Jialu Li +2
Recent efforts to enable visual navigation using large language models have mainly focused on developing complex prompt systems. These systems incorporate instructions, observation…
Human Following in Mobile Platforms with Person Re-Identification
Mario Srouji, Yao-Hung Hubert Tsai, Hugues Thomas +1
Human following is a crucial feature of human-robot interaction, yet it poses numerous challenges to mobile agents in real-world scenarios. Some major hurdles are that the target p…
SAFER: Safe Collision Avoidance using Focused and Efficient Trajectory Search with Reinforcement Learning
Mario Srouji, Hugues Thomas, Hubert Tsai +2
Collision avoidance is key for mobile robots and agents to operate safely in the real world. In this work we present SAFER, an efficient and effective collision avoidance system th…