7 accepted papers
This paper introduces the CareBot-H Robot, a humanoid nursing robot designed to perform patient transfer tasks in confined environments. The robot is equipped with biomimetic arms that replicate human arm size and function, and distributed tactile sensors that enhance operational safety during physi…
Real-world image generation generally requires multi-turn editing, where users iteratively refine a small region while the majority of the image remains stable across turns. Despite this strong region-level stability, existing diffusion transformer (DiT)–based editing pipelines recompute the entire
While Multimodal Large Language Models (MLLMs) have demonstrated remarkable proficiency in general video understanding, their capacity to interpret involuntary, and spatio-temporally evolving pathologic motor behaviors such as seizure semiology remains largely untested. To address this gap, we intro…
End-to-end autonomous driving methods built on vision language models (VLMs) have undergone rapid development driven by their universal visual understanding and strong reasoning capabilities obtained from the large-scale pretraining. However, we find that current VLMs struggle to understand fine-gra
Open-world 3D semantic occupancy prediction aims to generate a voxelized 3D representation from sensor inputs while recognizing both known and unknown objects. Transferring open-vocabulary knowledge from vision-language models (VLMs) offers a promising direction but remains challenging. However, met…
"Scene flow estimation predicts the 3D motion at each point in successive LiDAR scans. This detailed, point-level, information can help autonomous vehicles to accurately predict and understand dynamic changes in their surroundings. Current state-of-the-art methods require annotated data to train sce…
Accurately perceiving instances and predicting their future motion are key tasks for autonomous vehicles, enabling them to navigate safely in complex urban traffic. While bird’s-eye view (BEV) representations are commonplace in perception for autonomous driving, their potential in a motion predictio…