4 papers
ObjectReact: Learning Object-Relative Control for Visual Navigation
Sourav Garg, Dustin Craggs, Vineeth Bhat +5
Visual navigation using only a single camera and a topological map has recently become an appealing alternative to methods that require additional sensors and 3D maps. This is typi…
SparseLoc: Sparse Open-Set Landmark-based Global Localization for Autonomous Navigation
Pranjal Paul, Vineeth Bhat, Tejas Salian +4
Global localization is a critical problem in autonomous navigation, enabling precise positioning without reliance on GPS. Modern global localization techniques often depend on dens…
Towards Global Localization using Multi-Modal Object-Instance Re-Identification
Aneesh Chavan, Vaibhav Agrawal, Vineeth Bhat +4
Re-identification (ReID) is a critical challenge in computer vision, predominantly studied in the context of pedestrians and vehicles. However, robust object-instance ReID, which h…
Consistency Checks for Language Model Forecasters
Daniel Paleka, Abhimanyu Pallavi Sudhir, Alejandro Alvarez +4
Forecasting is a task that is difficult to evaluate: the ground truth can only be known in the future. Recent work showing LLM forecasters rapidly approaching human-level performan…