A federal indictment is painting a clearer picture of how three men allegedly conspired to murder someone earlier this year. Federal authorities said they've unraveled months of conspiracy and ...

LiDAR-based 3D object detection has been widely utilized in fields such as autonomous driving and robotics. However, the black-box nature of 3D models limits their interpretability, making it ...

Object Details author Ross, Steven Joseph Subject Lewis, Leon L Friends and associates Lewis, Leon L Adversaries Lewis, Leon L Friends and associates Lewis, Leon L Adversaries Jewish Federation ...

In this paper, we propose a novel adversarial attack against 3D object tracking, which is guided by an occlusion-based explainability method to target points crucial for the predictions in the search ...

A pair of MIT graduates have developed a fun and clever way to minimize the amount of food waste sent to the landfill. Biru Cao and Yiqing Wang’s FOODres.AI solution is an AI-powered desktop 3D ...

This repository contains the code for the paper titled "SemAlign3D: Semantic Correspondence between RGB-Images through Aligning 3D Object-Class Representations" (CVPR 2025).

Open-set 3D object retrieval (3DOR) is an emerging task aiming to retrieve 3D objects of unseen categories beyond the training set. Existing methods typically utilize all modalities (i.e., voxels, ...

Multiple sclerosis (MS) is a chronic autoimmune demyelinating disease characterized by progressive neurological impairment. Bruton’s tyrosine kinase (BTK) has emerged as a crucial therapeutic target ...