1 citations · 1 across the 5 of their papers we have counts for
5 papers
Uncertainty-aware Accurate Elevation Modeling for Off-road Navigation via Neural Processes
Sanghun Jung, Daehoon Gwak, Byron Boots +1
Terrain elevation modeling for off-road navigation aims to accurately estimate changes in terrain geometry in real-time and quantify the corresponding uncertainties. Having precise…
GaussianFormer3D: Multi-Modal Gaussian-based Semantic Occupancy Prediction with 3D Deformable Attention
Lingjun Zhao, Sizhe Wei, James Hays +1
3D semantic occupancy prediction is essential for achieving safe, reliable autonomous driving and robotic navigation. Compared to camera-only perception systems, multi-modal pipeli…
Dynamic Motion Synthesis: Masked Audio-Text Conditioned Spatio-Temporal Transformers
Sohan Anisetty, James Hays
Our research presents a novel motion generation framework designed to produce whole-body motion sequences conditioned on multiple modalities simultaneously, specifically text and a…
What Matters in Range View 3D Object Detection
Benjamin Wilson, Nicholas Autio Mitchell, Jhony Kaesemodel Pontes +1
Lidar-based perception pipelines rely on 3D object detection models to interpret complex scenes. While multiple representations for lidar exist, the range-view is enticing since it…
Granular Privacy Control for Geolocation with Vision Language Models
Ethan Mendes, Yang Chen, James Hays +3
Vision Language Models (VLMs) are rapidly advancing in their capability to answer information-seeking questions. As these models are widely deployed in consumer applications, they…