R3DM: Enabling Role Discovery and Diversity Through Dynamics Models in Multi-agent Reinforcement Learning.
CoRR, May, 2025
SparseLoc: Sparse Open-Set Landmark-based Global Localization for Autonomous Navigation.
CoRR, March, 2025
Exploiting Distribution Constraints for Scalable and Efficient Image Retrieval.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Any2Any: Incomplete Multimodal Retrieval with Conformal Prediction.
CoRR, 2024
Neuro-Symbolic Video Search.
CoRR, 2024
LIP-Loc: LiDAR Image Pretraining for Cross-Modal Localization.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024
Towards Neuro-Symbolic Video Understanding.
Proceedings of the Computer Vision - ECCV 2024, 2024
ALT-Pilot: Autonomous navigation with Language augmented Topometric maps.
CoRR, 2023
ConceptFusion: Open-set multimodal 3D mapping.
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Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023
NeuroSMPC: A Neural Network Guided Sampling Based MPC for On-Road Autonomous Driving.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
Drift Reduced Navigation with Deep Explainable Features.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
LADFN: Learning Actions for Drift-Free Navigation in Highly Dynamic Scenes.
Proceedings of the American Control Conference, 2022
Learning Actions for Drift-Free Navigation in Highly Dynamic Scenes.
CoRR, 2021
FireNet: A Specialized Lightweight Fire & Smoke Detection Model for Real-Time IoT Applications.
CoRR, 2019