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ORCIDVikas Dhiman
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2020 – today
- 2024
[j5]Abhilash Durgam
, Sidike Paheding, Vikas Dhiman, Vijay Kumar Devabhaktuni:
Cross-View Geo-Localization: A Survey. IEEE Access 12: 192028-192050 (2024)- [c11]Shihab Uddin Ahamad, Masoud Ataei, Vijay K. Devabhaktuni, Vikas Dhiman:
Omobot: a low-cost mobile robot for autonomous search and fall detection. AIM 2024: 453-460 - [i15]Soheil Gharatappeh, Sepideh Neshatfar, Salimeh Yasaei Sekeh, Vikas Dhiman:
FogGuard: guarding YOLO against fog using perceptual loss. CoRR abs/2403.08939 (2024) - [i14]Abhilash Durgam, Sidike Paheding, Vikas Dhiman, Vijay K. Devabhaktuni:
Cross-view geo-localization: a survey. CoRR abs/2406.09722 (2024) - [i13]Masoud Ataei, Vikas Dhiman:
DADEE: Well-calibrated uncertainty quantification in neural networks for barriers-based robot safety. CoRR abs/2407.00616 (2024) - [i12]Shihab Uddin Ahamad, Masoud Ataei, Vijay K. Devabhaktuni, Vikas Dhiman:
Omobot: a low-cost mobile robot for autonomous search and fall detection. CoRR abs/2408.05315 (2024) - 2023
- [j4]Tianyu Wang, Vikas Dhiman, Nikolay Atanasov:
Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning. Auton. Robots 47(6): 809-830 (2023) - [j3]Vikas Dhiman, Mohammad Javad Khojasteh, Massimo Franceschetti, Nikolay Atanasov:
Control Barriers in Bayesian Learning of System Dynamics. IEEE Trans. Autom. Control. 68(1): 214-229 (2023) - 2022
- [j2]Kehan Long, Vikas Dhiman, Melvin Leok, Jorge Cortés, Nikolay Atanasov:
Safe Control Synthesis With Uncertain Dynamics and Constraints. IEEE Robotics Autom. Lett. 7(3): 7295-7302 (2022) - [i11]Kehan Long, Vikas Dhiman, Melvin Leok, Jorge Cortés, Nikolay Atanasov:
Safe Control Synthesis with Uncertain Dynamics and Constraints. CoRR abs/2202.09557 (2022) - 2021
- [i10]Tianyu Wang, Vikas Dhiman, Nikolay Atanasov:
Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning. CoRR abs/2101.00186 (2021) - 2020
- [c10]Jing Bi, Vikas Dhiman, Tianyou Xiao, Chenliang Xu:
Learning from Interventions Using Hierarchical Policies for Safe Learning. AAAI 2020: 10352-10360 - [c9]Tianyu Wang, Vikas Dhiman, Nikolay Atanasov:
Learning Navigation Costs from Demonstration in Partially Observable Environments. ICRA 2020: 4434-4440 - [c8]Carlos Nieto-Granda, Shenghye Wang, Vikas Dhiman, John G. Rogers III, Henrik I. Christensen:
Distributed Heterogeneous Multi-robot Source Seeking Using Information Based Sampling with Visual Recognition. ISER 2020: 462-471 - [c7]Tianyu Wang, Vikas Dhiman, Nikolay Atanasov:
Learning Navigation Costs from Demonstrations with Semantic Observations. L4DC 2020: 245-255 - [c6]Mohammad Javad Khojasteh, Vikas Dhiman, Massimo Franceschetti, Nikolay Atanasov:
Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics. L4DC 2020: 781-792 - [i9]Tianyu Wang, Vikas Dhiman, Nikolay Atanasov:
Learning Navigation Costs from Demonstration in Partially Observable Environments. CoRR abs/2002.11637 (2020) - [i8]Tianyu Wang, Vikas Dhiman, Nikolay Atanasov:
Learning Navigation Costs from Demonstration with Semantic Observations. CoRR abs/2006.05043 (2020) - [i7]Vikas Dhiman, Mohammad Javad Khojasteh, Massimo Franceschetti, Nikolay Atanasov:
Control Barriers in Bayesian Learning of System Dynamics. CoRR abs/2012.14964 (2020)
2010 – 2019
- 2019
- [i6]Jing Bi, Vikas Dhiman, Tianyou Xiao, Chenliang Xu:
Learning from Interventions using Hierarchical Policies for Safe Learning. CoRR abs/1912.02241 (2019) - [i5]Mohammad Javad Khojasteh, Vikas Dhiman, Massimo Franceschetti, Nikolay Atanasov:
Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics. CoRR abs/1912.10116 (2019) - 2018
- [j1]Suren Kumar, Vikas Dhiman, Parker A. Koch, Jason J. Corso:
Learning Compositional Sparse Bimodal Models. IEEE Trans. Pattern Anal. Mach. Intell. 40(5): 1032-1044 (2018) - [i4]Vikas Dhiman, Shurjo Banerjee, Brent Griffin, Jeffrey Mark Siskind, Jason J. Corso:
A Critical Investigation of Deep Reinforcement Learning for Navigation. CoRR abs/1802.02274 (2018) - [i3]Vikas Dhiman, Shurjo Banerjee, Jeffrey Mark Siskind, Jason J. Corso:
Floyd-Warshall Reinforcement Learning Learning from Past Experiences to Reach New Goals. CoRR abs/1809.09318 (2018) - 2016
- [c5]Vikas Dhiman, Quoc-Huy Tran, Jason J. Corso, Manmohan Chandraker:
A Continuous Occlusion Model for Road Scene Understanding. CVPR 2016: 4331-4339 - [i2]Suren Kumar, Vikas Dhiman, Madan Ravi Ganesh, Jason J. Corso:
Spatiotemporal Articulated Models for Dynamic SLAM. CoRR abs/1604.03526 (2016) - 2014
- [c4]Suren Kumar, Vikas Dhiman, Jason J. Corso:
Learning Compositional Sparse Models of Bimodal Percepts. AAAI 2014: 366-372 - [c3]Vikas Dhiman, Abhijit Kundu, Frank Dellaert, Jason J. Corso:
Modern MAP inference methods for accurate and fast occupancy grid mapping on higher order factor graphs. ICRA 2014: 2037-2044 - 2013
- [c2]Vikas Dhiman, Julian Ryde, Jason J. Corso:
Mutual localization: Two camera relative 6-DOF pose estimation from reciprocal fiducial observation. IROS 2013: 1347-1354 - [c1]Julian Ryde, Vikas Dhiman, Robert Platt Jr.:
Voxel planes: Rapid visualization and meshification of point cloud ensembles. IROS 2013: 3731-3737 - [i1]Vikas Dhiman, Julian Ryde, Jason J. Corso:
Mutual Localization: Two Camera Relative 6-DOF Pose Estimation from Reciprocal Fiducial Observation. CoRR abs/1301.3758 (2013)
Coauthor Index
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