Parv Maheshwari

14 papers A* 2Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AnyThermal: Towards Learning Universal Representations for Thermal Perception. CoRR Parv Maheshwari, Jay Karhade, Yogesh Chawla, Isaiah Adu, Florian Heisen, Andrew Porco, Andrew Jong, Yifei Liu, Santosh Pitla, Sebastian A. Scherer, Wenshan Wang
2025	J	`jnl`	Cross Domain Evaluation of Multimodal Chain-of-Thought Reasoning of different datasets into the Amazon CoT Framework. CoRR Nitya Tiwari, Parv Maheshwari, Vidisha Agarwal
2025	J	`jnl`	ThermalDiffusion: Visual-to-Thermal Image-to-Image Translation for Autonomous Navigation. CoRR Shruti Bansal, Wenshan Wang, Yifei Liu, Parv Maheshwari
2024	J	`jnl`	Deep Bayesian Future Fusion for Self-Supervised, High-Resolution, Off-Road Mapping. CoRR Shubhra Aich, Wenshan Wang, Parv Maheshwari, Matthew Sivaprakasam, Samuel Triest, Cherie Ho, Jason M. Gregory, John G. Rogers III, Sebastian A. Scherer
2024	A*	`conf`	TartanDrive 2.0: More Modalities and Better Infrastructure to Further Self-Supervised Learning Research in Off-Road Driving Tasks. ICRA Matthew Sivaprakasam, Parv Maheshwari, Mateo Guaman Castro, Samuel Triest, Micah Nye, Steven Willits, Andrew Saba, Wenshan Wang, Sebastian A. Scherer
2024	J	`jnl`	TartanDrive 2.0: More Modalities and Better Infrastructure to Further Self-Supervised Learning Research in Off-Road Driving Tasks. CoRR Matthew Sivaprakasam, Parv Maheshwari, Mateo Guaman Castro, Samuel Triest, Micah Nye, Steven Willits, Andrew Saba, Wenshan Wang, Sebastian A. Scherer
2023	A*	`conf`	Learning Risk-Aware Costmaps via Inverse Reinforcement Learning for Off-Road Navigation. ICRA Samuel Triest, Mateo Guaman Castro, Parv Maheshwari, Matthew Sivaprakasam, Wenshan Wang, Sebastian A. Scherer
2023	J	`jnl`	Learning Risk-Aware Costmaps via Inverse Reinforcement Learning for Off-Road Navigation. CoRR Samuel Triest, Mateo Guaman Castro, Parv Maheshwari, Matthew Sivaprakasam, Wenshan Wang, Sebastian A. Scherer
2023	J	`jnl`	PIAug - Physics Informed Augmentation for Learning Vehicle Dynamics for Off-Road Navigation. CoRR Parv Maheshwari, Wenshan Wang, Samuel Triest, Matthew Sivaprakasam, Shubhra Aich, John G. Rogers III, Jason M. Gregory, Sebastian A. Scherer
2022	J	`jnl`	Multiple Waypoint Navigation in Unknown Indoor Environments. CoRR Shivam Sood, Jaskaran Singh Sodhi, Parv Maheshwari, Karan Uppal, Debashish Chakravarty
2022	J	`jnl`	Reproducibility Report: Contrastive Learning of Socially-aware Motion Representations. CoRR Roopsa Sen, Sidharth Sinha, Parv Maheshwari, Animesh Jha, Debashish Chakravarty
2022	J	`jnl`	[Re] Differentiable Spatial Planning using Transformers. CoRR Rohit Ranjan, Himadri Bhakta, Animesh Jha, Parv Maheshwari, Debashish Chakravarty
2022	J	`jnl`	[Reproducibility Report] Path Planning using Neural A* Search. CoRR Shreya Bhatt, Aayush Jain, Parv Maheshwari, Animesh Jha, Debashish Chakravarty
2021	J	`jnl`	Local NMPC on Global Optimised Path for Autonomous Racing. CoRR Dvij Kalaria, Parv Maheshwari, Animesh Jha, Arnesh Kumar Issar, Debashish Chakravarty, Sohel Anwar, Andres Towar