mypub.bib

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@inproceedings{DhKuDeICRA2014,
  author = {\textbf{Dhiman}, \textbf{V.} and Kundu, A. and Dellaert, F. and Corso, J. J.},
  booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
  title = {Modern {MAP} Inference Methods for Accurate and Faster Occupancy Grid Mapping on Higher Order Factor Graphs},
  venue = {IEEE International Conference on Robotics and Automation (ICRA)},
  year = {2014},
  url = {https://github.com/wecacuee/modern-occupancy-grid}
}
@inproceedings{DhRyCoIROS2013,
  author = {\textbf{Dhiman}, \textbf{V.} and Ryde, J. and Corso, J. J.},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  title = {Mutual Localization: Two Camera Relative 6-DOF Pose Estimation from Reciprocal Fiducial Observation},
  venue = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  year = {2013},
  url = {https://mutual-localization.readthedocs.io/en/latest/intro.html}
}
@inproceedings{KuDhCoAAAI2014,
  author = {S. Kumar and
               \textbf{V. Dhiman} and
               J. J. Corso},
  editor = {Carla E. Brodley and
               Peter Stone},
  title = {Learning Compositional Sparse Models of Bimodal Percepts},
  booktitle = {Proceedings of {AAAI} Conference on Artificial Intelligence},
  pages = {366--372},
  publisher = {{AAAI} Press},
  year = {2014},
  url = {http://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/view/8316},
  timestamp = {Thu, 31 Jul 2014 09:00:19 +0200},
  biburl = {https://dblp.org/rec/conf/aaai/KumarDC14.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{RyDhPlIROS2013,
  title = {Voxel Planes: Rapid Visualization and Meshification of Point Cloud Ensembles},
  author = {Ryde, J. and \textbf{Dhiman}, \textbf{V.} and Platt, R.},
  venue = {IROS},
  year = {2013},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems},
  local-url = {./pdf/RyDhPlIROS2013-Ryde+\textbf{Dhiman}+Platt-Voxel_Planes_Rapid_Visualization_and_Meshification_of_Point_Cloud_Ensembles-0.pdf},
  url = {https://cse.buffalo.edu/~jryde/publications/iros2013_voxel_planes.pdf}
}
@inproceedings{DhTrCoCVPR2016,
  author = {\textbf{Dhiman}, \textbf{V.} and Tran, Q. and Corso, J. and Chandraker, M.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  title = {A Continuous Occlusion Model for Road Scene Understanding},
  year = {2016},
  volume = {},
  number = {},
  pages = {4331-4339},
  doi = {10.1109/CVPR.2016.469},
  issn = {},
  month = {June}
}
@article{kumar2017learning,
  author = {S. {Kumar} and \textbf{V.} \textbf{Dhiman} and P. A. {Koch} and J. J. {Corso}},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  title = {Learning Compositional Sparse Bimodal Models},
  year = {2018},
  volume = {40},
  number = {5},
  pages = {1032-1044},
  doi = {10.1109/TPAMI.2017.2693987},
  url = {http://web.eecs.umich.edu/~jjcorso/pubs/aaai2014_kumar_final.pdf}
}
@article{DBLP:journals/corr/abs-1802-02274,
  author = {\textbf{V. Dhiman}$^*$ and
               S. Banerjee$^*$ and
               B. Griffin and
               J. M. Siskind and
               J. J. Corso},
  title = {A Critical Investigation of Deep Reinforcement Learning for Navigation},
  journal = {(preprint) ArXiV },
  volume = {abs/1802.02274},
  year = {2018},
  url = {http://arxiv.org/abs/1802.02274},
  archiveprefix = {arXiv},
  eprint = {1802.02274},
  timestamp = {Thu, 01 Mar 2018 15:00:45 +0100},
  biburl = {https://dblp.org/rec/bib/journals/corr/abs-1802-02274},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{dhiman2019learning,
  title = {Learning Goal-Conditioned Value Functions with one-step Path rewards rather than Goal-Rewards},
  author = {\textbf{V. Dhiman} and S. Banerjee and J. M. Siskind and J. J. Corso},
  booktitle = {(preprint) Open Review},
  year = {2019},
  url = {https://openreview.net/forum?id=BkesGnCcFX}
}
@inproceedings{khojasteh2020probabilistic,
  title = {Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics},
  author = {Khojasteh$^*$, M. J. and \textbf{Dhiman}$^*$, \textbf{V.} and Franceschetti, M. and Atanasov, N.},
  booktitle = {Proceedings of the 2nd Conference on Learning for Dynamics and Control},
  pages = {781--792},
  year = {2020},
  volume = {120},
  series = {Proceedings of Machine Learning Research},
  address = {The Cloud},
  month = {10--11 Jun},
  publisher = {PMLR},
  pdf = {http://proceedings.mlr.press/v120/khojasteh20a/khojasteh20a.pdf},
  url = {http://proceedings.mlr.press/v120/khojasteh20a.html},
  abstract = {This paper focuses on learning a model of system dynamics online while satisfying safety constraints. Our motivation is to avoid offline system identification or hand-specified dynamics models and allow a system to safely and autonomously estimate and adapt its own model during online operation. Given streaming observations of the system state, we use Bayesian learning to obtain a distribution over the system dynamics. In turn, the distribution is used to optimize the system behavior and ensure safety with high probability, by specifying a chance constraint over a control barrier function.}
}
@inproceedings{wangICRA2020LearningCosts,
  author = {T. {Wang} and \textbf{V.} \textbf{Dhiman} and N. {Atanasov}},
  booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
  title = {Learning Navigation Costs from Demonstration in Partially Observable Environments},
  year = {2020},
  volume = {},
  number = {},
  pages = {4434-4440},
  doi = {10.1109/ICRA40945.2020.9197199},
  url = {https://tianyudwang.github.io/publications/ICRA20}
}
@inproceedings{wangL4DC2020LearningSemanticCosts,
  title = {Learning Navigation Costs from Demonstration with Semantic Observations},
  author = {Wang, T. and \textbf{Dhiman}, \textbf{V.} and Atanasov, N.},
  booktitle = {Learning for Dynamics and Control},
  year = {2020},
  organization = {PMLR},
  url = {https://tianyudwang.github.io/publications/L4DC20}
}
@inproceedings{biAAAI2020learningFromInterventions,
  title = {Learning from interventions using hierarchical policies for safe learning},
  author = {Bi, J. and \textbf{Dhiman}, \textbf{V.} and Xiao, T. and Xu, C.},
  booktitle = {{AAAI} Conference on Artificial Intelligence},
  volume = {34},
  number = {06},
  pages = {10352--10360},
  year = {2020},
  url = {https://www.cs.rochester.edu/~cxu22/p/aaai2020_lfi_paper.pdf}
}
@article{dhimanTAC2020controlbarriers,
  title = {Control Barriers in {Bayesian} Learning of System Dynamics},
  author = {\textbf{Dhiman}$^*$, \textbf{V.} and Khojasteh$^*$, M. J. and Franceschetti, M. and Atanasov, N.},
  journal = {IEEE Transactions on Automatic Control (Under Review)},
  year = {2020 (Submitted)},
  url = {https://vikasdhiman.info/Bayesian_CBF/}
}
@article{wangIJRR2020inverseRL,
  title = {Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning},
  author = {Wang, T. and \textbf{Dhiman}, \textbf{V.} and Atanasov, N.},
  year = {2020 (Submitted)},
  journal = {International Journal of Robotics Research (Under Review)},
  url = {https://tianyudwang.github.io/publications/L4DC20}
}
@article{shanTRO2020OrcVIO,
  title = {{OrcVIO}: {Object} residual constrained {Visual-Inertial} {Odometry}},
  author = {Shan, M. and \textbf{Dhiman}, \textbf{V.} and Feng, Q. and Li, J. and Atanasov, N.},
  journal = {IEEE Transactions on Robotics (Under Review)},
  year = {2020 (Submitted)}
}

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