6 papers · 1 filter
Bridging the Synthetic-to-Real Gap for Few-Shot Cryo-ET Classification
Siddhant Bharadwaj, Ashish Vashist, Rashi Singh +5
Subtomogram classification in cryo-electron tomography (cryo-ET) is a challenging problem due to the scarcity of labeled examples. While cryo-ET simulators can be adopted to genera…
Do Medical Vision Language Models Actually See? A Counterfactual Grounding Framework and Hard-Negative Contrastive Training for Visually-Reliant Medical VLMs
Anas Zafar, Leema Krishna Murali, Siddhant Bharadwaj +2
Large vision language models (VLMs) report strong accuracy on medical question-answering, yet it remains unclear whether they reason from visual evidence or exploit textual shortcu…
Where Do Vision-Language Models Fail? World Scale Analysis for Image Geolocalization
Siddhant Bharadwaj, Ashish Vashist, Fahimul Aleem +1
Image geolocalization has traditionally been addressed through retrieval-based place recognition or geometry-based visual localization pipelines. Recent advances in Vision-Language…
Spatial Reasoning is Not a Free Lunch: A Controlled Study on LLaVA
Nahid Alam, Leema Krishna Murali, Siddhant Bharadwaj +7
Vision-language models (VLMs) have advanced rapidly, yet they still struggle with basic spatial reasoning. Despite strong performance on general benchmarks, modern VLMs remain brit…
The Spatial Blindspot of Vision-Language Models
Nahid Alam, Leema Krishna Murali, Siddhant Bharadwaj +7
Vision-language models (VLMs) have advanced rapidly, but their ability to capture spatial relationships remains a blindspot. Current VLMs are typically built with contrastive langu…
Adaptive Multi Scale Document Binarisation Using Vision Mamba
Mohd. Azfar, Siddhant Bharadwaj, Ashwin Sasikumar
Enhancing and preserving the readability of document images, particularly historical ones, is crucial for effective document image analysis. Numerous models have been proposed for…