Towards Global Localization using Multi-Modal Object-Instance Re-Identification
Published in Advances in Robotics (AIR) - Oral, 2025
We propose a dual-path object-instance re-identification transformer that integrates RGB and depth information for robust object ReID and camera localization across varying viewpoints and environments.
Recommended citation: Aneesh Chavan, Vaibhav Agrawal, Vineeth Bhat, Sarthak Chittawar, Siddharth Srivastava, Chetan Arora, K. Madhava Krishna. (2025). "Towards Global Localization using Multi-Modal Object-Instance Re-Identification." Proceedings of the 2025 Advances in Robotics (Oral).
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