1 citations · 1 across the 8 of their papers we have counts for
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Re:Cognize -- A Framework For Open-Set Comic Character Re-Identification
Aaditya Baranwal, Madhav Kataria, Yogesh S Rawat +1
Comics and manga tell stories through characters whose appearances change from panel to panel, yet readers recognise them hundreds of pages later without ever consulting a cast lis…
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…
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…
PHOEBI: An Open-World Benchmark for Multi-Label Bacterial Identification in Phase-Contrast Microscopy
Aaditya Baranwal, Md Jahid Hasan, Shruti Vyas
Optical microscopy lets us watch living bacteria in real time without stains or labels, and it remains the standard instrument for identifying species across clinical, environmenta…
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…
BareBones: Benchmarking Zero-Shot Geometric Comprehension in VLMs
Aaditya Baranwal, Vishal Yadav, Abhishek Rajora
While Vision-Language Models (VLMs) demonstrate remarkable zero-shot recognition capabilities across a diverse spectrum of multimodal tasks, it yet remains an open question whether…
Re:Verse -- Can Your VLM Read a Manga?
Aaditya Baranwal, Madhav Kataria, Naitik Agrawal +2
Current Vision Language Models (VLMs) demonstrate a critical gap between surface-level recognition and deep narrative reasoning when processing sequential visual storytelling. Thro…
SynSpill: Improved Industrial Spill Detection With Synthetic Data
Aaditya Baranwal, Abdul Mueez, Jason Voelker +2
Large-scale Vision-Language Models (VLMs) have transformed general-purpose visual recognition through strong zero-shot capabilities. However, their performance degrades significant…