23 citations · 38 across the 19 of their papers we have counts for
4 papers · 2 filters
Failure or Drift? Evaluating Monocular SLAM under Synthetic and Real-World Corruptions
Abhay Skaria Thomas, Shashank Agnihotri, Margret Keuper
Visual SLAM is commonly evaluated on clean trajectories, although deployment failures are often caused by adverse weather, illumination, blur, and sensor artifacts. Controlled corr…
Images as Tables: In-Context Learning with TabPFN for Low-Data Detection of AI-Generated Images
Jan Philip Walter, Shashank Agnihotri, Margret Keuper
AI-generated image detection is a moving-target problem: detectors trained on one generator often fail when a new generator appears, and only a few labeled examples are available.…
GeoDiv: Framework For Measuring Geographical Diversity In Text-To-Image Models
Abhipsa Basu, Mohana Singh, Shashank Agnihotri +2
Text-to-image (T2I) models are rapidly gaining popularity, yet their outputs often lack geographical diversity, reinforce stereotypes, and misrepresent regions. Given their broad r…
RAWDet-7: A Multi-Scenario Benchmark for Object Detection and Description on Quantized RAW Images
Mishal Fatima, Shashank Agnihotri, Kanchana Vaishnavi Gandikota +2
Most vision models are trained on RGB images processed through ISP pipelines optimized for human perception, which can discard sensor-level information useful for machine reasoning…