Vikas Dhiman - RankMe

36 papers A* 5A 2Misc 1Journal 23Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	Misc	`conf`	DAREK - Distance Aware Error for Kolmogorov Networks. ICASSP Masoud Ataei, Mohammad Javad Khojasteh, Vikas Dhiman
2025	J	`jnl`	DAREK - Distance Aware Error for Kolmogorov Networks. CoRR Masoud Ataei, Mohammad Javad Khojasteh, Vikas Dhiman
2025	—	`conf`	K-DAREK: Distance Aware Error for Kurkova Kolmogorov Networks. IEEECONF Masoud Ataei, Vikas Dhiman, Mohammad Javad Khojasteh
2025	J	`jnl`	K-DAREK: Distance Aware Error for Kurkova Kolmogorov Networks. CoRR Masoud Ataei, Vikas Dhiman, Mohammad Javad Khojasteh
2025	J	`jnl`	Weather-Aware Object Detection Transformer for Domain Adaptation. CoRR Soheil Gharatappeh, Salimeh Yasaei Sekeh, Vikas Dhiman
2024	J	`jnl`	Cross-View Geo-Localization: A Survey. IEEE Access Abhilash Durgam, Sidike Paheding, Vikas Dhiman, Vijay Kumar Devabhaktuni
2024	J	`jnl`	Cross-view geo-localization: a survey. CoRR Abhilash Durgam, Sidike Paheding, Vikas Dhiman, Vijay K. Devabhaktuni
2024	J	`jnl`	DADEE: Well-calibrated uncertainty quantification in neural networks for barriers-based robot safety. CoRR Masoud Ataei, Vikas Dhiman
2024	J	`jnl`	FogGuard: guarding YOLO against fog using perceptual loss. CoRR Soheil Gharatappeh, Sepideh Neshatfar, Salimeh Yasaei Sekeh, Vikas Dhiman
2024	—	`conf`	Omobot: a low-cost mobile robot for autonomous search and fall detection. AIM Shihab Uddin Ahamad, Masoud Ataei, Vijay K. Devabhaktuni, Vikas Dhiman
2024	J	`jnl`	Omobot: a low-cost mobile robot for autonomous search and fall detection. CoRR Shihab Uddin Ahamad, Masoud Ataei, Vijay K. Devabhaktuni, Vikas Dhiman
2023	J	`jnl`	Control Barriers in Bayesian Learning of System Dynamics. IEEE Trans. Autom. Control. Vikas Dhiman, Mohammad Javad Khojasteh, Massimo Franceschetti, Nikolay Atanasov
2023	J	`jnl`	Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning. Auton. Robots Tianyu Wang, Vikas Dhiman, Nikolay Atanasov
2022	J	`jnl`	Safe Control Synthesis With Uncertain Dynamics and Constraints. IEEE Robotics Autom. Lett. Kehan Long, Vikas Dhiman, Melvin Leok, Jorge Cortés, Nikolay Atanasov
2022	J	`jnl`	Safe Control Synthesis with Uncertain Dynamics and Constraints. CoRR Kehan Long, Vikas Dhiman, Melvin Leok, Jorge Cortés, Nikolay Atanasov
2021	J	`jnl`	Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning. CoRR Tianyu Wang, Vikas Dhiman, Nikolay Atanasov
2020	J	`jnl`	Control Barriers in Bayesian Learning of System Dynamics. CoRR Vikas Dhiman, Mohammad Javad Khojasteh, Massimo Franceschetti, Nikolay Atanasov
2020	—	`conf`	Distributed Heterogeneous Multi-robot Source Seeking Using Information Based Sampling with Visual Recognition. ISER Carlos Nieto-Granda, Shenghye Wang, Vikas Dhiman, John G. Rogers III, Henrik I. Christensen
2020	A*	`conf`	Learning Navigation Costs from Demonstration in Partially Observable Environments. ICRA Tianyu Wang, Vikas Dhiman, Nikolay Atanasov
2020	J	`jnl`	Learning Navigation Costs from Demonstration in Partially Observable Environments. CoRR Tianyu Wang, Vikas Dhiman, Nikolay Atanasov
2020	J	`jnl`	Learning Navigation Costs from Demonstration with Semantic Observations. CoRR Tianyu Wang, Vikas Dhiman, Nikolay Atanasov
2020	—	`conf`	Learning Navigation Costs from Demonstrations with Semantic Observations. L4DC Tianyu Wang, Vikas Dhiman, Nikolay Atanasov
2020	A*	`conf`	Learning from Interventions Using Hierarchical Policies for Safe Learning. AAAI Jing Bi, Vikas Dhiman, Tianyou Xiao, Chenliang Xu
2020	—	`conf`	Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics. L4DC Mohammad Javad Khojasteh, Vikas Dhiman, Massimo Franceschetti, Nikolay Atanasov
2019	J	`jnl`	Learning from Interventions using Hierarchical Policies for Safe Learning. CoRR Jing Bi, Vikas Dhiman, Tianyou Xiao, Chenliang Xu
2019	J	`jnl`	Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics. CoRR Mohammad Javad Khojasteh, Vikas Dhiman, Massimo Franceschetti, Nikolay Atanasov
2018	J	`jnl`	A Critical Investigation of Deep Reinforcement Learning for Navigation. CoRR Vikas Dhiman, Shurjo Banerjee, Brent Griffin, Jeffrey Mark Siskind, Jason J. Corso
2018	J	`jnl`	Floyd-Warshall Reinforcement Learning Learning from Past Experiences to Reach New Goals. CoRR Vikas Dhiman, Shurjo Banerjee, Jeffrey Mark Siskind, Jason J. Corso
2018	J	`jnl`	Learning Compositional Sparse Bimodal Models. IEEE Trans. Pattern Anal. Mach. Intell. Suren Kumar, Vikas Dhiman, Parker A. Koch, Jason J. Corso
2016	A*	`conf`	A Continuous Occlusion Model for Road Scene Understanding. CVPR Vikas Dhiman, Quoc-Huy Tran, Jason J. Corso, Manmohan Chandraker
2016	J	`jnl`	Spatiotemporal Articulated Models for Dynamic SLAM. CoRR Suren Kumar, Vikas Dhiman, Madan Ravi Ganesh, Jason J. Corso
2014	A*	`conf`	Learning Compositional Sparse Models of Bimodal Percepts. AAAI Suren Kumar, Vikas Dhiman, Jason J. Corso
2014	A*	`conf`	Modern MAP inference methods for accurate and fast occupancy grid mapping on higher order factor graphs. ICRA Vikas Dhiman, Abhijit Kundu, Frank Dellaert, Jason J. Corso
2013	J	`jnl`	Mutual Localization: Two Camera Relative 6-DOF Pose Estimation from Reciprocal Fiducial Observation CoRR Vikas Dhiman, Julian Ryde, Jason J. Corso
2013	A	`conf`	Mutual localization: Two camera relative 6-DOF pose estimation from reciprocal fiducial observation. IROS Vikas Dhiman, Julian Ryde, Jason J. Corso
2013	A	`conf`	Voxel planes: Rapid visualization and meshification of point cloud ensembles. IROS Julian Ryde, Vikas Dhiman, Robert Platt Jr.