activity
20172026
most citedA Deep Recurrent Framework for Cleaning Motion Capture Data

33 citations · 44 across the 9 of their papers we have counts for

collaborators

16 papers

cs.CV2026

From Pixels to Policy: A Multi-Agent System for Intervention and Geo-Spatial Decision Support

Hosam Elgendy, Utkarsh Mall

Urban environments are shaped by design choices with long-term implications for health, safety, and quality of life, yet evaluating proposed interventions remains costly, time-cons…

cs.CV2026

Aperture: Training-Free Multiscale Concept Bottlenecks for Remote Sensing

Rishabh Mondal, Nipun Batra, Utkarsh Mall

While earth observation models have advanced substantially, they still lack interpretability. While concept-bottleneck models provide interpretability and expert interaction, they…

cs.CV2026

Flat-Pack Bench: Evaluating Spatio-Temporal Understanding in Large Vision-Language Models through Furniture Assembly

Aditya Chetan, Eric Cai, Peeyush Kushwaha +5

The emergence of Large Vision-Language Models (LVLMs) has significantly advanced video understanding capabilities. However, existing benchmarks focus predominantly on coarse-graine…

cs.CV2025

MONITRS: Multimodal Observations of Natural Incidents Through Remote Sensing

Shreelekha Revankar, Utkarsh Mall, Cheng Perng Phoo +2

Natural disasters cause devastating damage to communities and infrastructure every year. Effective disaster response is hampered by the difficulty of accessing affected areas durin…

cs.AI2025

Towards LLM Agents for Earth Observation

Chia Hsiang Kao, Wenting Zhao, Cheryl Lam +10

Earth Observation (EO) provides critical planetary data for environmental monitoring, disaster management, climate science, and other scientific domains. In this work we ask: Are A…

cs.CV2025

DiSciPLE: Learning Interpretable Programs for Scientific Visual Discovery

Utkarsh Mall, Cheng Perng Phoo, Mia Chiquier +3

Visual data is used in numerous different scientific workflows ranging from remote sensing to ecology. As the amount of observation data increases, the challenge is not just to mak…