Krishna Murthy Jatavallabhula
Orcid: 0000-0003-4927-3387Affiliations:
- University of Montréal, QC, Canada
- , International Institute of Information Technology, Hyderabad, India
- Birla Institute of Science and Technology (BITS), Department of Computer Science and Information Systems, Pilani, India
According to our database1,
Krishna Murthy Jatavallabhula
authored at least 51 papers
between 2015 and 2024.
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Bibliography
2024
IEEE Robotics Autom. Lett., February, 2024
IEEE Robotics Autom. Lett., 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Anticipate & Act: Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments<sup>†</sup>.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
2023
Nat. Mac. Intell., October, 2023
STAMP: Differentiable Task and Motion Planning via Stein Variational Gradient Descent.
CoRR, 2023
CoRR, 2023
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023
Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 2023
Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 2023
PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
f-Cal: Aleatoric uncertainty quantification for robot perception via calibrated neural regression.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Bayesian Object Models for Robotic Interaction with Differentiable Probabilistic Programming.
Proceedings of the Conference on Robot Learning, 2022
Proceedings of the Conference on Robot Learning, 2022
2021
$f$-Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception.
CoRR, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021
2020
IEEE Robotics Autom. Lett., 2020
CoRR, 2020
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Reconstruct, Rasterize and Backprop: Dense shape and pose estimation from a single image.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
2018
CalibNet: Self-Supervised Extrinsic Calibration using 3D Spatial Transformer Networks.
CoRR, 2018
CalibNet: Geometrically Supervised Extrinsic Calibration using 3D Spatial Transformer Networks.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
The Earth Ain't Flat: Monocular Reconstruction of Vehicles on Steep and Graded Roads from a Moving Camera.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018
2017
FAST - Synchronous Frontier Allocation for Scalable Online Multi-Robot Terrain Coverage.
J. Intell. Robotic Syst., 2017
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017
Reconstructing vehicles from a single image: Shape priors for road scene understanding.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017
2016
Reconstructing Vechicles from a Single Image: Shape Priors for Road Scene Understanding.
CoRR, 2016
2015
Maxxyt: An Autonomous Wearable Device for Real-Time Tracking of a Wide Range of Exercises.
Proceedings of the UKSim-AMSS 17th International Conference on Computer Modelling and Simulation, 2015
Proceedings of the 2015 IEEE International Conference on Systems, 2015