activity
20182026
most citedTinyAction Challenge: Recognizing Real-world Low-resolution Activities in Videos

6 citations · 9 across the 16 of their papers we have counts for

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19 papers · 1 filter

cs.CV2026

Vision-Language Models for Analog Gauge Reading: An Empirical Study of Specialization, Transfer and Reliability

Abdul Mueez, Aaditya Baranwal, Junior Chaj-Mejia +3

Analog gauges remain common in industrial environments where manual inspection is costly or hazardous. The engineering application addressed here is direct numerical reading of sin…

cs.CV2026

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules

Abdul Mueez, Yogesh S. Rawat, Shruti Vyas

This paper addresses the challenge of multi-label defect classification in electroluminescence (EL) images of photovoltaic (PV) cells. Training models on images where multiple defe…

cs.CV2026

Robust Onion: Peeling Open Vocab Object Detectors Under Noise

Priyank Pathak, Mukilan Karuppasamy, Aaditya Baranwal +2

The impact of real-world noise on Open Vocabulary Object Detectors (OV-ODs) remains poorly understood due to their architectural complexity. We present our comprehensive analysis R…

cs.CV2026

PHOEBI: An Open-World Benchmark for Bacterial Identification in Phase-Contrast Microscopy

Aaditya Baranwal, Md Jahid Hasan, Shruti Vyas

Optical microscopy enables rapid, label-free imaging of live bacteria and is the standard instrument for species identification across clinical, environmental, and industrial micro…

cs.CV2026

MolSight: Molecular Property Prediction with Images

Aaditya Baranwal, Akshaj Gupta, Yogesh S Rawat +1

Every molecule ever synthesised can be drawn as a 2D skeletal diagram, yet in modern property prediction this universally available representation has received less focus in favour…

cs.CV2026

Bridging Foundation Models and ASTM Metallurgical Standards for Automated Grain Size Estimation from Microscopy Images

Abdul Mueez, Shruti Vyas

Extracting standardized metallurgical metrics from microscopy images remains challenging due to complex grain morphology and the data demands of supervised segmentation. To bridge…