Krishna Murthy Jatavallabhula

According to our database, Krishna Murthy Jatavallabhula authored at least 49 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

AnyLoc: Towards Universal Visual Place Recognition.

Nikhil Varma Keetha, Avneesh Mishra, Jay Karhade, Krishna Murthy Jatavallabhula, Sebastian A. Scherer, K. Madhava Krishna, Sourav Garg

IEEE Robotics Autom. Lett., February, 2024

<i>Follow Anything:</i> Open-Set Detection, Tracking, and Following in Real-Time.

Alaa Maalouf, Ninad Jadhav, Krishna Murthy Jatavallabhula, Makram Chahine, Daniel M. Vogt, Robert J. Wood, Antonio Torralba, Daniela Rus

IEEE Robotics Autom. Lett., 2024

Efficient 3D Instance Mapping and Localization with Neural Fields.

George Tang, Krishna Murthy Jatavallabhula, Antonio Torralba

CoRR, 2024

2023

Differentiable visual computing for inverse problems and machine learning.

Andrew Spielberg, Fangcheng Zhong, Konstantinos Rematas, Krishna Murthy Jatavallabhula, Cengiz Öztireli, Tzu-Mao Li, Derek Nowrouzezahrai

Nat. Mac. Intell., October, 2023

SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM.

Nikhil Varma Keetha, Jay Karhade, Krishna Murthy Jatavallabhula, Gengshan Yang, Sebastian A. Scherer, Deva Ramanan, Jonathon Luiten

CoRR, 2023

ALT-Pilot: Autonomous navigation with Language augmented Topometric maps.

Mohammad Omama, Pranav Inani, Pranjal Paul, Sarat Chandra Yellapragada, Krishna Murthy Jatavallabhula, Sandeep Chinchali, K. Madhava Krishna

CoRR, 2023

Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous Driving.

Vikrant Dewangan, Tushar Choudhary, Shivam Chandhok, Shubham Priyadarshan, Anushka Jain, Arun Kumar Singh, Siddharth Srivastava, Krishna Murthy Jatavallabhula, K. Madhava Krishna

CoRR, 2023

STAMP: Differentiable Task and Motion Planning via Stein Variational Gradient Descent.

Yewon Lee, Philip Huang, Krishna Murthy Jatavallabhula, Andrew Zou Li, Fabian Damken, Eric Heiden, Kevin Smith, Derek Nowrouzezahrai, Fabio Ramos, Florian Shkurti

CoRR, 2023

ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning.

Qiao Gu, Alihusein Kuwajerwala, Sacha Morin, Krishna Murthy Jatavallabhula, Bipasha Sen, Aditya Agarwal, Corban Rivera, William Paul, Kirsty Ellis, Rama Chellappa, Chuang Gan, Celso Miguel de Melo, Joshua B. Tenenbaum, Antonio Torralba, Florian Shkurti, Liam Paull

CoRR, 2023

Tactile Estimation of Extrinsic Contact Patch for Stable Placement.

Kei Ota, Devesh K. Jha, Krishna Murthy Jatavallabhula, Asako Kanezaki, Joshua B. Tenenbaum

CoRR, 2023

Follow Anything: Open-set detection, tracking, and following in real-time.

Alaa Maalouf, Ninad Jadhav, Krishna Murthy Jatavallabhula, Makram Chahine, Daniel M. Vogt, Robert J. Wood, Antonio Torralba, Daniela Rus

CoRR, 2023

ConceptFusion: Open-set Multimodal 3D Mapping.

Krishna Murthy Jatavallabhula, Alihusein Kuwajerwala, Qiao Gu, Mohd. Omama, Tao Chen, Shuang Li, Ganesh Iyer, Soroush Saryazdi, Nikhil Varma Keetha, Ayush Tewari, Joshua B. Tenenbaum, Celso Miguel de Melo, K. Madhava Krishna, Liam Paull, Florian Shkurti, Antonio Torralba

CoRR, 2023

ConceptFusion: Open-set multimodal 3D mapping.

Krishna Murthy Jatavallabhula, Alihusein Kuwajerwala, Qiao Gu, Mohd. Omama, Ganesh Iyer, Soroush Saryazdi, Tao Chen, Alaa Maalouf, Shuang Li, Nikhil Varma Keetha, Ayush Tewari, Joshua B. Tenenbaum, Celso Miguel de Melo, K. Madhava Krishna, Liam Paull, Florian Shkurti, Antonio Torralba

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Instance-Level Semantic Maps for Vision Language Navigation.

Laksh Nanwani, Anmol Agarwal, Kanishk Jain, Raghav Prabhakar, Aaron Monis, Aditya Mathur, Krishna Murthy Jatavallabhula, A. H. Abdul Hafez, Vineet Gandhi, K. Madhava Krishna

Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 2023

CLIPGraphs: Multimodal Graph Networks to Infer Object-Room Affinities.

Ayush Agrawal, Raghav Arora, Ahana Datta, Snehasis Banerjee, Brojeshwar Bhowmick, Krishna Murthy Jatavallabhula, Mohan Sridharan, K. Madhava Krishna

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.

Xuan Li, Yi-Ling Qiao, Peter Yichen Chen, Krishna Murthy Jatavallabhula, Ming C. Lin, Chenfanfu Jiang, Chuang Gan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares.

Dominik Muhle, Lukas Koestler, Krishna Murthy Jatavallabhula, Daniel Cremers

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.

Dhaivat Bhatt, Kaustubh Mani, Dishank Bansal, Krishna Murthy Jatavallabhula, Hanju Lee, Liam Paull

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Bayesian Object Models for Robotic Interaction with Differentiable Probabilistic Programming.

Krishna Murthy Jatavallabhula, Miles Macklin, Dieter Fox, Animesh Garg, Fabio Ramos

Proceedings of the Conference on Robot Learning, 2022

Rethinking Optimization with Differentiable Simulation from a Global Perspective.

Rika Antonova, Jingyun Yang, Krishna Murthy Jatavallabhula, Jeannette Bohg

Proceedings of the Conference on Robot Learning, 2022

2021

$f$-Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception.

Dhaivat Bhatt, Kaustubh Mani, Dishank Bansal, Krishna Murthy Jatavallabhula, Hanju Lee, Liam Paull

CoRR, 2021

DRACO: Weakly Supervised Dense Reconstruction And Canonicalization of Objects.

Rahul Sajnani, AadilMehdi J. Sanchawala, Krishna Murthy Jatavallabhula, Srinath Sridhar, K. Madhava Krishna

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

gradSim: Differentiable simulation for system identification and visuomotor control.

J. Krishna Murthy, Miles Macklin, Florian Golemo, Vikram Voleti, Linda Petrini, Martin Weiss, Breandan Considine, Jérôme Parent-Lévesque, Kevin Xie, Kenny Erleben, Liam Paull, Florian Shkurti, Derek Nowrouzezahrai, Sanja Fidler

Proceedings of the 9th International Conference on Learning Representations, 2021

Taskography: Evaluating robot task planning over large 3D scene graphs.

Christopher Agia, Krishna Murthy Jatavallabhula, Mohamed Khodeir, Ondrej Miksik, Vibhav Vineet, Mustafa Mukadam, Liam Paull, Florian Shkurti

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

MapLite: Autonomous Intersection Navigation Without a Detailed Prior Map.

Teddy Ort, Krishna Murthy, Rohan Banerjee, Sai Krishna Gottipati, Dhaivat Bhatt, Igor Gilitschenski, Liam Paull, Daniela Rus

IEEE Robotics Autom. Lett., 2020

RobustPointSet: A Dataset for Benchmarking Robustness of Point Cloud Classifiers.

Saeid Asgari Taghanaki, Jieliang Luo, Ran Zhang, Ye Wang, Pradeep Kumar Jayaraman, Krishna Murthy Jatavallabhula

CoRR, 2020

MonoLayout: Amodal scene layout from a single image.

Kaustubh Mani, Swapnil Daga, Shubhika Garg, Narasimhan Sai Shankar, Krishna Murthy Jatavallabhula, K. Madhava Krishna

CoRR, 2020

Mono Lay out: Amodal scene layout from a single image.

Kaustubh Mani, Swapnil Daga, Shubhika Garg, Narasimhan Sai Shankar, J. Krishna Murthy, K. Madhava Krishna

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Multi-object Monocular SLAM for Dynamic Environments.

Gokul B. Nair, Swapnil Daga, Rahul Sajnani, Anirudha Ramesh, Junaid Ahmed Ansari, Krishna Murthy Jatavallabhula, K. Madhava Krishna

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

AutoLay: Benchmarking amodal layout estimation for autonomous driving.

Kaustubh Mani, Narasimhan Sai Shankar, Krishna Murthy Jatavallabhula, K. Madhava Krishna

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

∇SLAM: Dense SLAM meets Automatic Differentiation.

Krishna Murthy Jatavallabhula, Ganesh Iyer, Liam Paull

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.

Aniket Pokale, Aditya Aggarwal, Krishna Murthy Jatavallabhula, K. Madhava Krishna

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Deep Active Localization.

Sai Krishna Gottipati, Keehong Seo, Dhaivat Bhatt, Vincent Mai, Krishna Murthy, Liam Paull

IEEE Robotics Autom. Lett., 2019

Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research.

Krishna Murthy Jatavallabhula, Edward J. Smith, Jean-Francois Lafleche, Clement Fuji Tsang, Artem Rozantsev, Wenzheng Chen, Tommy Xiang, Rev Lebaredian, Sanja Fidler

CoRR, 2019

gradSLAM: Dense SLAM meets Automatic Differentiation.

Krishna Murthy Jatavallabhula, Ganesh Iyer, Liam Paull

CoRR, 2019

Deep Active Localization.

Sai Krishna, Keehong Seo, Dhaivat Bhatt, Vincent Mai, J. Krishna Murthy, Liam Paull

CoRR, 2019

INFER: INtermediate representations for FuturE pRediction.

Shashank Srikanth, Junaid Ahmed Ansari, Karnik Ram R., Sarthak Sharma, J. Krishna Murthy, K. Madhava Krishna

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.

Ganesh Iyer, Karnik Ram R., J. Krishna Murthy, K. Madhava Krishna

CoRR, 2018

CalibNet: Geometrically Supervised Extrinsic Calibration using 3D Spatial Transformer Networks.

Ganesh Iyer, Karnik Ram R., J. Krishna Murthy, K. Madhava Krishna

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.

Junaid Ahmed Ansari, Sarthak Sharma, Anshuman Majumdar, J. Krishna Murthy, K. Madhava Krishna

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Beyond Pixels: Leveraging Geometry and Shape Cues for Online Multi-Object Tracking.

Sarthak Sharma, Junaid Ahmed Ansari, J. Krishna Murthy, K. Madhava Krishna

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Constructing Category-Specific Models for Monocular Object-SLAM.

Parv Parkhiya, Rishabh Khawad, J. Krishna Murthy, Brojeshwar Bhowmick, K. Madhava Krishna

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Geometric Consistency for Self-Supervised End-to-End Visual Odometry.

Ganesh Iyer, J. Krishna Murthy, Gunshi Gupta, K. Madhava Krishna, Liam Paull

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.

Avinash Gautam, Bhargav Jha, Gourav Kumar, J. Krishna Murthy, S. P. Arjun Ram, Sudeept Mohan

J. Intell. Robotic Syst., 2017

Shape priors for real-time monocular object localization in dynamic environments.

J. Krishna Murthy, Sarthak Sharma, K. Madhava Krishna

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.

J. Krishna Murthy, G. V. Sai Krishna, Falak Chhaya, K. Madhava Krishna

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.

J. Krishna Murthy, G. V. Sai Krishna, Falak Chhaya, K. Madhava Krishna

CoRR, 2016

2015

Maxxyt: An Autonomous Wearable Device for Real-Time Tracking of a Wide Range of Exercises.

Danish Pruthi, Ayush Jain, Krishna Murthy Jatavallabhula, Ruppesh Nalwaya, Puneet Teja

Proceedings of the UKSim-AMSS 17th International Conference on Computer Modelling and Simulation, 2015

Cluster, Allocate, Cover: An Efficient Approach for Multi-robot Coverage.

Avinash Gautam, J. Krishna Murthy, Gourav Kumar, S. P. Arjun Ram, Bhargav Jha, Sudeept Mohan

Proceedings of the 2015 IEEE International Conference on Systems, 2015