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20172026
most citedA Deep Recurrent Framework for Cleaning Motion Capture Data

33 citations · 34 across the 8 of their papers we have counts for

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12 papers · 1 filter

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.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…

cs.CV2024

Scale-Aware Recognition in Satellite Images under Resource Constraints

Shreelekha Revankar, Cheng Perng Phoo, Utkarsh Mall +2

Recognition of features in satellite imagery (forests, swimming pools, etc.) depends strongly on the spatial scale of the concept and therefore the resolution of the images. This p…

cs.CV20241 cited

AllClear: A Comprehensive Dataset and Benchmark for Cloud Removal in Satellite Imagery

Hangyu Zhou, Chia-Hsiang Kao, Cheng Perng Phoo +3

Clouds in satellite imagery pose a significant challenge for downstream applications. A major challenge in current cloud removal research is the absence of a comprehensive benchmar…

cs.CV2024

How Video Meetings Change Your Expression

Sumit Sarin, Utkarsh Mall, Purva Tendulkar +1

Do our facial expressions change when we speak over video calls? Given two unpaired sets of videos of people, we seek to automatically find spatio-temporal patterns that are distin…