Mutual localization: Two camera relative 6-DOF pose estimation from reciprocal fiducial observation. - Vikas Dhiman; Julian Ryde; Jason J. Corso (IROS, 2013)

Voxel planes: Rapid visualization and meshification of point cloud ensembles. - Julian Ryde; Vikas Dhiman; Robert Platt Jr. 001 (IROS, 2013)

Learning Compositional Sparse Models of Bimodal Percepts. - Suren Kumar; Vikas Dhiman; Jason J. Corso (AAAI, 2014)

Modern MAP inference methods for accurate and fast occupancy grid mapping on higher order factor graphs. - Vikas Dhiman; Abhijit Kundu; Frank Dellaert; Jason J. Corso (ICRA, 2014)

A Continuous Occlusion Model for Road Scene Understanding. - Vikas Dhiman; Quoc-Huy Tran; Jason J. Corso; Manmohan Chandraker (CVPR, 2016)

Spatiotemporal Articulated Models for Dynamic SLAM. - Suren Kumar; Vikas Dhiman; Madan Ravi Ganesh; Jason J. Corso (CoRR, 2016)

A Critical Investigation of Deep Reinforcement Learning for Navigation. - Vikas Dhiman; Shurjo Banerjee; Brent Griffin; Jeffrey Mark Siskind; Jason J. Corso (CoRR, 2018)

Floyd-Warshall Reinforcement Learning Learning from Past Experiences to Reach New Goals. - Vikas Dhiman; Shurjo Banerjee; Jeffrey Mark Siskind; Jason J. Corso (CoRR, 2018)

Learning Compositional Sparse Bimodal Models. - Suren Kumar; Vikas Dhiman; Parker A. Koch; Jason J. Corso (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Learning from Interventions Using Hierarchical Policies for Safe Learning. - Jing Bi 002; Vikas Dhiman; Tianyou Xiao; Chenliang Xu (AAAI, 2020)

Learning Navigation Costs from Demonstration in Partially Observable Environments. - Tianyu Wang; Vikas Dhiman; Nikolay Atanasov 001 (ICRA, 2020)

Distributed Heterogeneous Multi-robot Source Seeking Using Information Based Sampling with Visual Recognition. - Carlos Nieto-Granda; Shenghye Wang; Vikas Dhiman; John G. Rogers III; Henrik I. Christensen (ISER, 2020)

Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics. - Mohammad Javad Khojasteh; Vikas Dhiman; Massimo Franceschetti; Nikolay Atanasov 001 (L4DC, 2020)

Learning Navigation Costs from Demonstrations with Semantic Observations. - Tianyu Wang; Vikas Dhiman; Nikolay Atanasov 001 (L4DC, 2020)

Learning Navigation Costs from Demonstration with Semantic Observations. - Tianyu Wang; Vikas Dhiman; Nikolay Atanasov 001 (CoRR, 2020)

Safe Control Synthesis With Uncertain Dynamics and Constraints. - Kehan Long; Vikas Dhiman; Melvin Leok; Jorge Cortés 001; Nikolay Atanasov 001 (IEEE Robotics Autom. Lett., 2022)

Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning. - Tianyu Wang; Vikas Dhiman; Nikolay Atanasov 001 (Auton. Robots, 2023)

Control Barriers in Bayesian Learning of System Dynamics. - Vikas Dhiman; Mohammad Javad Khojasteh; Massimo Franceschetti; Nikolay Atanasov 001 (IEEE Trans. Autom. Control., 2023)

Omobot: a low-cost mobile robot for autonomous search and fall detection. - Shihab Uddin Ahamad; Masoud Ataei; Vijay K. Devabhaktuni; Vikas Dhiman (AIM, 2024)

Cross-View Geo-Localization: A Survey. - Abhilash Durgam; Sidike Paheding; Vikas Dhiman; Vijay Kumar Devabhaktuni (IEEE Access, 2024)

FogGuard: guarding YOLO against fog using perceptual loss. - Soheil Gharatappeh; Sepideh Neshatfar; Salimeh Yasaei Sekeh; Vikas Dhiman (CoRR, 2024)

DADEE: Well-calibrated uncertainty quantification in neural networks for barriers-based robot safety. - Masoud Ataei; Vikas Dhiman (CoRR, 2024)

DAREK - Distance Aware Error for Kolmogorov Networks. - Masoud Ataei; Mohammad Javad Khojasteh; Vikas Dhiman (ICASSP, 2025)

Weather-Aware Object Detection Transformer for Domain Adaptation. - Soheil Gharatappeh; Salimeh Yasaei Sekeh; Vikas Dhiman (CoRR, 2025)