collaborators

9 papers

cs.CV2026

GeoSAM-3D: Geodesic Prompt Propagation for Open-Vocabulary 3D Scene Segmentation from Monocular Video

Arun Sharma

Open-vocabulary 3D scene segmentation usually assumes RGB-D video, calibrated multi-view imagery, or a reconstructed mesh. GeoSAM-3D studies a lighter setting: a user uploads a sho…

cs.CV2026

DarkVesselNet: Multi-Modal Remote Sensing and Trajectory Reasoning for Dark Vessel Detection

Arun Sharma

Dark vessel detection requires fusing what vessels report through AIS with what satellites observe through radar and optical sensors. DarkVesselNet is a multi-modal remote sensing…

cs.LG2025

Towards Fine-Tuning-Based Site Calibration for Knowledge-Guided Machine Learning: A Summary of Results

Ruolei Zeng, Arun Sharma, Shuai An +5

Accurate and cost-effective quantification of the agroecosystem carbon cycle at decision-relevant scales is essential for climate mitigation and sustainable agriculture. However, b…

cs.LG2025

Towards Physics-informed Diffusion for Anomaly Detection in Trajectories

Arun Sharma, Mingzhou Yang, Majid Farhadloo +3

Given trajectory data, a domain-specific study area, and a user-defined threshold, we aim to find anomalous trajectories indicative of possible GPS spoofing (e.g., fake trajectory)…

cs.LG2025

Spatially-Delineated Domain-Adapted AI Classification: An Application for Oncology Data

Majid Farhadloo, Arun Sharma, Alexey Leontovich +2

Given multi-type point maps from different place-types (e.g., tumor regions), our objective is to develop a classifier trained on the source place-type to accurately distinguish be…

eess.IV2025

Towards Spatially-Lucid AI Classification in Non-Euclidean Space: An Application for MxIF Oncology Data

Majid Farhadloo, Arun Sharma, Jayant Gupta +3

Given multi-category point sets from different place-types, our goal is to develop a spatially-lucid classifier that can distinguish between two classes based on the arrangements o…