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ORCIDKrishna Murthy Jatavallabhula
J. Krishna Murthy 0001 – Krishna Murthy 0001
Person information
- affiliation: University of Montréal, QC, Canada
- affiliation: , International Institute of Information Technology, Hyderabad, India
- affiliation: Birla Institute of Science and Technology (BITS), Department of Computer Science and Information Systems, Pilani, India
Other persons with the same name
- J. Krishna Murthy 0002 — Guru Nanak Engineering College, Department of Computer Science and Engineering, Ibrahimpatnam, India
- Krishna Murthy 0002 — BIMCON Inc., MI, USA
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2020 – today
- 2024
[j6]Nikhil Varma Keetha
, Avneesh Mishra, Jay Karhade, Krishna Murthy Jatavallabhula, Sebastian A. Scherer, K. Madhava Krishna, Sourav Garg:
AnyLoc: Towards Universal Visual Place Recognition. IEEE Robotics Autom. Lett. 9(2): 1286-1293 (2024)- [j5]Alaa Maalouf, Ninad Jadhav, Krishna Murthy Jatavallabhula, Makram Chahine, Daniel M. Vogt, Robert J. Wood, Antonio Torralba, Daniela Rus:
Follow Anything: Open-Set Detection, Tracking, and Following in Real-Time. IEEE Robotics Autom. Lett. 9(4): 3283-3290 (2024) - [c32]Nikhil Varma Keetha, Jay Karhade, Krishna Murthy Jatavallabhula, Gengshan Yang, Sebastian Scherer, Deva Ramanan, Jonathon Luiten:
SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM. CVPR 2024: 21357-21366 - [c31]George Tang, Krishna Murthy Jatavallabhula, Antonio Torralba:
Efficient 3D Instance Mapping and Localization with Neural Fields. ICRA 2024: 1818-1824 - [c30]Qiao Gu, Ali 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:
ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning. ICRA 2024: 5021-5028 - [c29]Kei Ota, Devesh K. Jha, Krishna Murthy Jatavallabhula, Asako Kanezaki, Joshua B. Tenenbaum:
Tactile Estimation of Extrinsic Contact Patch for Stable Placement. ICRA 2024: 13876-13882 - [c28]Raghav Arora, Shivam Singh, Karthik Swaminathan, Ahana Datta, Snehasis Banerjee, Brojeshwar Bhowmick, Krishna Murthy Jatavallabhula, Mohan Sridharan, K. Madhava Krishna:
Anticipate & Act: Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments†. ICRA 2024: 14038-14045 - [c27]Tushar Choudhary, Vikrant Dewangan, Shivam Chandhok, Shubham Priyadarshan, Anushka Jain, Arun K. Singh, Siddharth Srivastava, Krishna Murthy Jatavallabhula, K. Madhava Krishna:
Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous Driving. ICRA 2024: 16345-16352 - [i33]George Tang, Krishna Murthy Jatavallabhula, Antonio Torralba:
Efficient 3D Instance Mapping and Localization with Neural Fields. CoRR abs/2403.19797 (2024) - 2023
- [j4]Andrew Spielberg, Fangcheng Zhong, Konstantinos Rematas, Krishna Murthy Jatavallabhula, Cengiz Öztireli, Tzu-Mao Li, Derek Nowrouzezahrai:
Differentiable visual computing for inverse problems and machine learning. Nat. Mac. Intell. 5(11): 1189-1199 (2023) - [c26]Dominik Muhle, Lukas Koestler, Krishna Murthy Jatavallabhula, Daniel Cremers:
Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares. CVPR 2023: 13102-13112 - [c25]Xuan Li, Yi-Ling Qiao, Peter Yichen Chen, Krishna Murthy Jatavallabhula, Ming C. Lin, Chenfanfu Jiang, Chuang Gan:
PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification. ICLR 2023 - [c24]Laksh Nanwani, Anmol Agarwal, Kanishk Jain, Raghav Prabhakar, Aaron Monis, Aditya Mathur, Krishna Murthy Jatavallabhula, A. H. Abdul Hafez, Vineet Gandhi, K. Madhava Krishna:
Instance-Level Semantic Maps for Vision Language Navigation. RO-MAN 2023: 507-512 - [c23]Ayush Agrawal, Raghav Arora, Ahana Datta, Snehasis Banerjee, Brojeshwar Bhowmick, Krishna Murthy Jatavallabhula, Mohan Sridharan, K. Madhava Krishna:
CLIPGraphs: Multimodal Graph Networks to Infer Object-Room Affinities. RO-MAN 2023: 2604-2609 - [c22]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:
ConceptFusion: Open-set multimodal 3D mapping. Robotics: Science and Systems 2023 - [i32]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:
ConceptFusion: Open-set Multimodal 3D Mapping. CoRR abs/2302.07241 (2023) - [i31]Xuan Li, Yi-Ling Qiao, Peter Yichen Chen, Krishna Murthy Jatavallabhula, Ming C. Lin, Chenfanfu Jiang, Chuang Gan:
PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification. CoRR abs/2303.05512 (2023) - [i30]Dominik Muhle, Lukas Koestler, Krishna Murthy Jatavallabhula, Daniel Cremers:
Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares. CoRR abs/2305.09527 (2023) - [i29]Laksh Nanwani, Anmol Agarwal, Kanishk Jain, Raghav Prabhakar, Aaron Monis, Aditya Mathur, Krishna Murthy Jatavallabhula, A. H. Abdul Hafez, Vineet Gandhi, K. Madhava Krishna:
Instance-Level Semantic Maps for Vision Language Navigation. CoRR abs/2305.12363 (2023) - [i28]Ayush Agrawal, Raghav Arora, Ahana Datta, Snehasis Banerjee, Brojeshwar Bhowmick, Krishna Murthy Jatavallabhula, Mohan Sridharan, K. Madhava Krishna:
CLIPGraphs: Multimodal Graph Networks to Infer Object-Room Affinities. CoRR abs/2306.01540 (2023) - [i27]Nikhil Varma Keetha, Avneesh Mishra, Jay Karhade, Krishna Murthy Jatavallabhula, Sebastian A. Scherer, K. Madhava Krishna, Sourav Garg:
AnyLoc: Towards Universal Visual Place Recognition. CoRR abs/2308.00688 (2023) - [i26]Alaa Maalouf, Ninad Jadhav, Krishna Murthy Jatavallabhula, Makram Chahine, Daniel M. Vogt, Robert J. Wood, Antonio Torralba, Daniela Rus:
Follow Anything: Open-set detection, tracking, and following in real-time. CoRR abs/2308.05737 (2023) - [i25]Kei Ota, Devesh K. Jha, Krishna Murthy Jatavallabhula, Asako Kanezaki, Joshua B. Tenenbaum:
Tactile Estimation of Extrinsic Contact Patch for Stable Placement. CoRR abs/2309.14552 (2023) - [i24]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:
ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning. CoRR abs/2309.16650 (2023) - [i23]Yewon Lee, Philip Huang, Krishna Murthy Jatavallabhula, Andrew Zou Li, Fabian Damken, Eric Heiden, Kevin Smith, Derek Nowrouzezahrai, Fabio Ramos, Florian Shkurti:
STAMP: Differentiable Task and Motion Planning via Stein Variational Gradient Descent. CoRR abs/2310.01775 (2023) - [i22]Vikrant Dewangan, Tushar Choudhary, Shivam Chandhok, Shubham Priyadarshan, Anushka Jain, Arun Kumar Singh, Siddharth Srivastava, Krishna Murthy Jatavallabhula, K. Madhava Krishna:
Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous Driving. CoRR abs/2310.02251 (2023) - [i21]Mohammad Omama, Pranav Inani, Pranjal Paul, Sarat Chandra Yellapragada, Krishna Murthy Jatavallabhula, Sandeep Chinchali, K. Madhava Krishna:
ALT-Pilot: Autonomous navigation with Language augmented Topometric maps. CoRR abs/2310.02324 (2023) - [i20]Nikhil Varma Keetha, Jay Karhade, Krishna Murthy Jatavallabhula, Gengshan Yang, Sebastian A. Scherer, Deva Ramanan, Jonathon Luiten:
SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM. CoRR abs/2312.02126 (2023) - [i19]Andrew Spielberg, Fangcheng Zhong, Konstantinos Rematas, Krishna Murthy Jatavallabhula, Cengiz Öztireli, Tzu-Mao Li, Derek Nowrouzezahrai:
Differentiable Visual Computing for Inverse Problems and Machine Learning. CoRR abs/2312.04574 (2023) - 2022
- [c21]Rika Antonova, Jingyun Yang, Krishna Murthy Jatavallabhula, Jeannette Bohg:
Rethinking Optimization with Differentiable Simulation from a Global Perspective. CoRL 2022: 276-286 - [c20]Krishna Murthy Jatavallabhula, Miles Macklin, Dieter Fox, Animesh Garg, Fabio Ramos:
Bayesian Object Models for Robotic Interaction with Differentiable Probabilistic Programming. CoRL 2022: 1563-1574 - [c19]Dhaivat Bhatt, Kaustubh Mani, Dishank Bansal, Krishna Murthy Jatavallabhula, Hanju Lee, Liam Paull:
f-Cal: Aleatoric uncertainty quantification for robot perception via calibrated neural regression. ICRA 2022: 6533-6539 - [i18]Rika Antonova, Jingyun Yang, Krishna Murthy Jatavallabhula, Jeannette Bohg:
Rethinking Optimization with Differentiable Simulation from a Global Perspective. CoRR abs/2207.00167 (2022) - [i17]Christopher Agia, Krishna Murthy Jatavallabhula, Mohamed Khodeir, Ondrej Miksik, Vibhav Vineet, Mustafa Mukadam, Liam Paull, Florian Shkurti:
TASKOGRAPHY: Evaluating robot task planning over large 3D scene graphs. CoRR abs/2207.05006 (2022) - 2021
- [c18]Christopher Agia, Krishna Murthy Jatavallabhula, Mohamed Khodeir, Ondrej Miksik, Vibhav Vineet, Mustafa Mukadam, Liam Paull, Florian Shkurti:
Taskography: Evaluating robot task planning over large 3D scene graphs. CoRL 2021: 46-58 - [c17]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:
gradSim: Differentiable simulation for system identification and visuomotor control. ICLR 2021 - [c16]Rahul Sajnani, AadilMehdi J. Sanchawala, Krishna Murthy Jatavallabhula, Srinath Sridhar, K. Madhava Krishna:
DRACO: Weakly Supervised Dense Reconstruction And Canonicalization of Objects. ICRA 2021: 10302-10309 - [i16]Krishna Murthy Jatavallabhula, 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:
gradSim: Differentiable simulation for system identification and visuomotor control. CoRR abs/2104.02646 (2021) - [i15]Kaustubh Mani, Narasimhan Sai Shankar, Krishna Murthy Jatavallabhula, K. Madhava Krishna:
AutoLay: Benchmarking amodal layout estimation for autonomous driving. CoRR abs/2108.09047 (2021) - [i14]Dhaivat Bhatt, Kaustubh Mani, Dishank Bansal, Krishna Murthy Jatavallabhula, Hanju Lee, Liam Paull:
$f$-Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception. CoRR abs/2109.13913 (2021) - 2020
- [j3]Teddy Ort, Krishna Murthy, Rohan Banerjee, Sai Krishna Gottipati, Dhaivat Bhatt, Igor Gilitschenski, Liam Paull, Daniela Rus:
MapLite: Autonomous Intersection Navigation Without a Detailed Prior Map. IEEE Robotics Autom. Lett. 5(2): 556-563 (2020) - [c15]Aniket Pokale, Aditya Aggarwal, Krishna Murthy Jatavallabhula, K. Madhava Krishna:
Reconstruct, Rasterize and Backprop: Dense shape and pose estimation from a single image. CVPR Workshops 2020: 179-186 - [c14]Krishna Murthy Jatavallabhula, Ganesh Iyer, Liam Paull:
∇SLAM: Dense SLAM meets Automatic Differentiation. ICRA 2020: 2130-2137 - [c13]Kaustubh Mani, Narasimhan Sai Shankar, Krishna Murthy Jatavallabhula, K. Madhava Krishna:
AutoLay: Benchmarking amodal layout estimation for autonomous driving. IROS 2020: 8184-8191 - [c12]Gokul B. Nair, Swapnil Daga, Rahul Sajnani, Anirudha Ramesh, Junaid Ahmed Ansari, Krishna Murthy Jatavallabhula, K. Madhava Krishna:
Multi-object Monocular SLAM for Dynamic Environments. IV 2020: 651-657 - [c11]Kaustubh Mani, Swapnil Daga, Shubhika Garg, Narasimhan Sai Shankar, J. Krishna Murthy, K. Madhava Krishna:
Mono Lay out: Amodal scene layout from a single image. WACV 2020: 1678-1686 - [i13]Kaustubh Mani, Swapnil Daga, Shubhika Garg, Narasimhan Sai Shankar, Krishna Murthy Jatavallabhula, K. Madhava Krishna:
MonoLayout: Amodal scene layout from a single image. CoRR abs/2002.08394 (2020) - [i12]Saeid Asgari Taghanaki, Jieliang Luo, Ran Zhang, Ye Wang, Pradeep Kumar Jayaraman, Krishna Murthy Jatavallabhula:
RobustPointSet: A Dataset for Benchmarking Robustness of Point Cloud Classifiers. CoRR abs/2011.11572 (2020) - [i11]Rahul Sajnani, AadilMehdi J. Sanchawala, Krishna Murthy Jatavallabhula, Srinath Sridhar, K. Madhava Krishna:
DRACO: Weakly Supervised Dense Reconstruction And Canonicalization of Objects. CoRR abs/2011.12912 (2020)
2010 – 2019
- 2019
- [j2]Sai Krishna Gottipati, Keehong Seo, Dhaivat Bhatt, Vincent Mai, Krishna Murthy, Liam Paull:
Deep Active Localization. IEEE Robotics Autom. Lett. 4(4): 4394-4401 (2019) - [c10]Shashank Srikanth, Junaid Ahmed Ansari, Karnik Ram R., Sarthak Sharma, J. Krishna Murthy, K. Madhava Krishna:
INFER: INtermediate representations for FuturE pRediction. IROS 2019: 942-949 - [i10]Sai Krishna, Keehong Seo, Dhaivat Bhatt, Vincent Mai, J. Krishna Murthy, Liam Paull:
Deep Active Localization. CoRR abs/1903.01669 (2019) - [i9]Shashank Srikanth, Junaid Ahmed Ansari, Karnik Ram R., Sarthak Sharma, J. Krishna Murthy, K. Madhava Krishna:
INFER: INtermediate representations for FuturE pRediction. CoRR abs/1903.10641 (2019) - [i8]Krishna Murthy Jatavallabhula, Ganesh Iyer, Liam Paull:
gradSLAM: Dense SLAM meets Automatic Differentiation. CoRR abs/1910.10672 (2019) - [i7]Krishna Murthy Jatavallabhula, Edward J. Smith, Jean-Francois Lafleche, Clement Fuji Tsang, Artem Rozantsev, Wenzheng Chen, Tommy Xiang, Rev Lebaredian, Sanja Fidler:
Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research. CoRR abs/1911.05063 (2019) - 2018
- [c9]Ganesh Iyer, J. Krishna Murthy, Gunshi Gupta, K. Madhava Krishna, Liam Paull:
Geometric Consistency for Self-Supervised End-to-End Visual Odometry. CVPR Workshops 2018: 267-275 - [c8]Parv Parkhiya, Rishabh Khawad, J. Krishna Murthy, Brojeshwar Bhowmick, K. Madhava Krishna:
Constructing Category-Specific Models for Monocular Object-SLAM. ICRA 2018: 1-9 - [c7]Sarthak Sharma, Junaid Ahmed Ansari, J. Krishna Murthy, K. Madhava Krishna:
Beyond Pixels: Leveraging Geometry and Shape Cues for Online Multi-Object Tracking. ICRA 2018: 3508-3515 - [c6]Ganesh Iyer, Karnik Ram R., J. Krishna Murthy, K. Madhava Krishna:
CalibNet: Geometrically Supervised Extrinsic Calibration using 3D Spatial Transformer Networks. IROS 2018: 1110-1117 - [c5]Junaid Ahmed Ansari, Sarthak Sharma, Anshuman Majumdar, J. Krishna Murthy, K. Madhava Krishna:
The Earth Ain't Flat: Monocular Reconstruction of Vehicles on Steep and Graded Roads from a Moving Camera. IROS 2018: 8404-8410 - [i6]Parv Parkhiya, Rishabh Khawad, J. Krishna Murthy, Brojeshwar Bhowmick, K. Madhava Krishna:
Constructing Category-Specific Models for Monocular Object-SLAM. CoRR abs/1802.09292 (2018) - [i5]Sarthak Sharma, Junaid Ahmed Ansari, J. Krishna Murthy, K. Madhava Krishna:
Beyond Pixels: Leveraging Geometry and Shape Cues for Online Multi-Object Tracking. CoRR abs/1802.09298 (2018) - [i4]Junaid Ahmed Ansari, Sarthak Sharma, Anshuman Majumdar, J. Krishna Murthy, K. Madhava Krishna:
The Earth ain't Flat: Monocular Reconstruction of Vehicles on Steep and Graded Roads from a Moving Camera. CoRR abs/1803.02057 (2018) - [i3]Ganesh Iyer, Karnik Ram R., J. Krishna Murthy, K. Madhava Krishna:
CalibNet: Self-Supervised Extrinsic Calibration using 3D Spatial Transformer Networks. CoRR abs/1803.08181 (2018) - [i2]Ganesh Iyer, J. Krishna Murthy, Gunshi Gupta, K. Madhava Krishna, Liam Paull:
Geometric Consistency for Self-Supervised End-to-End Visual Odometry. CoRR abs/1804.03789 (2018) - 2017
- [j1]Avinash Gautam, Bhargav Jha, Gourav Kumar, J. Krishna Murthy, S. P. Arjun Ram, Sudeept Mohan:
FAST - Synchronous Frontier Allocation for Scalable Online Multi-Robot Terrain Coverage. J. Intell. Robotic Syst. 87(3-4): 545-564 (2017) - [c4]J. Krishna Murthy, G. V. Sai Krishna, Falak Chhaya, K. Madhava Krishna:
Reconstructing vehicles from a single image: Shape priors for road scene understanding. ICRA 2017: 724-731 - [c3]J. Krishna Murthy, Sarthak Sharma, K. Madhava Krishna:
Shape priors for real-time monocular object localization in dynamic environments. IROS 2017: 1768-1774 - 2016
- [i1]J. Krishna Murthy, G. V. Sai Krishna, Falak Chhaya, K. Madhava Krishna:
Reconstructing Vechicles from a Single Image: Shape Priors for Road Scene Understanding. CoRR abs/1609.09468 (2016) - 2015
- [c2]Avinash Gautam, J. Krishna Murthy, Gourav Kumar, S. P. Arjun Ram, Bhargav Jha, Sudeept Mohan:
Cluster, Allocate, Cover: An Efficient Approach for Multi-robot Coverage. SMC 2015: 197-203 - [c1]Danish Pruthi, Ayush Jain, Krishna Murthy Jatavallabhula, Ruppesh Nalwaya, Puneet Teja:
Maxxyt: An Autonomous Wearable Device for Real-Time Tracking of a Wide Range of Exercises. UKSim 2015: 137-141
Coauthor Index
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