4 papers · 1 filter
Composition, Not Conversation: VLMs Lose the Scene, Not the Thread
L. D. M. S. Sai Teja, Ufaq Khan, N. Siva Gopala Krishna +5
Vision-language models (VLMs) increasingly reason over visual evidence that is cropped, segmented, retrieved, or revealed over time. Yet most VQA benchmarks present the complete im…
RoRD: Rotation-Robust Descriptors and Orthographic Views for Local Feature Matching
Udit Singh Parihar, Aniket Gujarathi, Kinal Mehta +4
The use of local detectors and descriptors in typical computer vision pipelines work well until variations in viewpoint and appearance change become extreme. Past research in this…
Early Bird: Loop Closures from Opposing Viewpoints for Perceptually-Aliased Indoor Environments
Satyajit Tourani, Dhagash Desai, Udit Singh Parihar +4
Significant advances have been made recently in Visual Place Recognition (VPR), feature correspondence, and localization due to the proliferation of deep-learning-based methods. Ho…
Topological Mapping for Manhattan-like Repetitive Environments
Sai Shubodh Puligilla, Satyajit Tourani, Tushar Vaidya +3
We showcase a topological mapping framework for a challenging indoor warehouse setting. At the most abstract level, the warehouse is represented as a Topological Graph where the no…