Krishna Murthy Jatavallabhula

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 47

Top Topics

Weakly Supervised

Autonomous Driving

Top Venues

IEEE Robotics Autom. Lett.

Publications

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)
George Tang, Krishna Murthy Jatavallabhula, Antonio Torralba
Efficient 3D Instance Mapping and Localization with Neural Fields. CoRR (2024)
Raghav Arora, Shivam Singh, Karthik Swaminathan, Ahana Datta, Snehasis Banerjee, Brojeshwar Bhowmick, Krishna Murthy Jatavallabhula, Mohan Sridharan, Madhava Krishna
. ICRA (2024)
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)
Kei Ota, Devesh K. Jha, Krishna Murthy Jatavallabhula, Asako Kanezaki, Joshua B. Tenenbaum
Tactile Estimation of Extrinsic Contact Patch for Stable Placement. ICRA (2024)
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) (2024)
George Tang, Krishna Murthy Jatavallabhula, Antonio Torralba
Efficient 3D Instance Mapping and Localization with Neural Fields. ICRA (2024)
Alaa Maalouf, Ninad Jadhav, Krishna Murthy Jatavallabhula, Makram Chahine, Daniel M. Vogt, Robert J. Wood, Antonio Torralba, Daniela Rus
Open-Set Detection, Tracking, and Following in Real-Time. IEEE Robotics Autom. Lett. 9 (4) (2024)
Dominik Muhle, Lukas Koestler, Krishna Murthy Jatavallabhula, Daniel Cremers
Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares. CoRR (2023)
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 (2023)
Xuan Li, Yi-Ling Qiao, Peter Yichen Chen, Krishna Murthy Jatavallabhula, Ming Lin, Chenfanfu Jiang, Chuang Gan
PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification. CoRR (2023)
Kei Ota, Devesh K. Jha, Krishna Murthy Jatavallabhula, Asako Kanezaki, Joshua B. Tenenbaum
Tactile Estimation of Extrinsic Contact Patch for Stable Placement. CoRR (2023)
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 (2023)
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 (2023)
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 (2023)
Dominik Muhle, Lukas Koestler, Krishna Murthy Jatavallabhula, Daniel Cremers
Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares. CVPR (2023)
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 (2023)
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 (2023)
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 (2023)
Krishna Murthy Jatavallabhula, Alihusein Kuwajerwala, Qiao Gu, Mohd. Omama, Tao Chen, Shuang Li, Ganesh Iyer, Soroush Saryazdi, Nikhil 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 (2023)
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 (2023)
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 (2023)
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) (2023)
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)
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)
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)
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 (2023)
Xuan Li, Yi-Ling Qiao, Peter Yichen Chen, Krishna Murthy Jatavallabhula, Ming Lin, Chenfanfu Jiang, Chuang Gan
PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification. ICLR (2023)
Rika Antonova, Jingyun Yang, Krishna Murthy Jatavallabhula, Jeannette Bohg
Rethinking Optimization with Differentiable Simulation from a Global Perspective. CoRL (2022)
Krishna Murthy Jatavallabhula, Miles Macklin, Dieter Fox, Animesh Garg, Fabio Ramos
Bayesian Object Models for Robotic Interaction with Differentiable Probabilistic Programming. CoRL (2022)
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 (2022)
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)
Rika Antonova, Jingyun Yang, Krishna Murthy Jatavallabhula, Jeannette Bohg
Rethinking Optimization with Differentiable Simulation from a Global Perspective. CoRR (2022)
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 (2021)
Rahul Sajnani, AadilMehdi J. Sanchawala, Krishna Murthy Jatavallabhula, Srinath Sridhar, K. Madhava Krishna
DRACO: Weakly Supervised Dense Reconstruction And Canonicalization of Objects. ICRA (2021)
Kaustubh Mani, N. Sai Shankar, Krishna Murthy Jatavallabhula, K. Madhava Krishna
AutoLay: Benchmarking amodal layout estimation for autonomous driving. CoRR (2021)
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 (2021)
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)
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)
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)
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 (2020)
Rahul Sajnani, AadilMehdi J. Sanchawala, Krishna Murthy Jatavallabhula, Srinath Sridhar, K. Madhava Krishna
DRACO: Weakly Supervised Dense Reconstruction And Canonicalization of Objects. CoRR (2020)
Kaustubh Mani, N. Sai Shankar, Krishna Murthy Jatavallabhula, K. Madhava Krishna
AutoLay: Benchmarking amodal layout estimation for autonomous driving. IROS (2020)
Krishna Murthy Jatavallabhula, Ganesh Iyer, Liam Paull
∇SLAM: Dense SLAM meets Automatic Differentiation. ICRA (2020)
Kaustubh Mani, Swapnil Daga, Shubhika Garg, N. Sai Shankar, Krishna Murthy Jatavallabhula, K. Madhava Krishna
MonoLayout: Amodal scene layout from a single image. CoRR (2020)
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 (2019)
Krishna Murthy Jatavallabhula, Ganesh Iyer, Liam Paull
gradSLAM: Dense SLAM meets Automatic Differentiation. CoRR (2019)
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)