[1] V. Dhiman, A. Kundu, F. Dellaert, and J. J. Corso. Modern MAP inference methods for accurate and faster occupancy grid mapping on higher order factor graphs. In IEEE International Conference on Robotics and Automation, 2014. [ bib ]
[2] V. Dhiman, J. Ryde, and J. J. Corso. Mutual localization: Two camera relative 6-dof pose estimation from reciprocal fiducial observation. In Proceedings of International Conference on Intelligent Robots and Systems, 2013. [ bib ]
[3] S. Kumar, V. Dhiman, and J. J. Corso. Learning compositional sparse models of bimodal percepts. In Proceedings of AAAI Conference on Artificial Intelligence, 2014. [ bib ]
[4] J. Ryde, V. Dhiman, and R. Platt. Voxel planes: Rapid visualization and meshification of point cloud ensembles. In Proceedings of Intelligent Robots and Systems, 2013. [ bib ]
[5] V. Dhiman, Q. Tran, J. Corso, and M. Chandraker. A continuous occlusion model for road scene understanding. In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 4331--4339, June 2016. [ bib | DOI ]
[6] S. Kumar, V. Dhiman, P. A. Koch, and J. J. Corso. Learning compositional sparse bimodal models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017. [ bib | DOI ]
[7] V. Dhiman, S. Banerjee, B. Griffin, Siskind J, and J. Corso. Do deep reinforcement learning algorithms really learn to navigate? In Proceedings of International Conference on Learning Representations (Under Review), 2018. [ bib | http ]
[8] Jing Bi, Vikas Dhiman, Tianyou Xiao, and Chenliang Xu. Learning from interventions using hierarchical policies for safe learning with delayed expert. In Proceedings of the AAAI Conference on Artificial Intelligence, 2020. [ bib ]
[9] Mohammad Javad Khojasteh, Vikas Dhiman, Massimo Franceschetti, and Nikolay Atanasov. Probabilistic safety constraints for learned high relative degree system dynamics, 2019. [ bib | arXiv ]

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