Sudeep Pillai

According to our database, Sudeep Pillai authored at least 23 papers between 2012 and 2022.

Collaborative distances:

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

2022

Finding Label and Model Errors in Perception Data With Learned Observation Assertions.

Daniel Kang, Nikos Aréchiga, Sudeep Pillai, Peter D. Bailis, Matei Zaharia

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2020

PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving.

Kuan-Hui Lee, Matthew Kliemann, Adrien Gaidon, Jie Li, Chao Fang, Sudeep Pillai, Wolfram Burgard

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

Neural Outlier Rejection for Self-Supervised Keypoint Learning.

Jiexiong Tang, Hanme Kim, Vitor Guizilini, Sudeep Pillai, Rares Ambrus

Proceedings of the 8th International Conference on Learning Representations, 2020

3D Packing for Self-Supervised Monocular Depth Estimation.

Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Allan Raventos, Adrien Gaidon

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

Self-Supervised 3D Keypoint Learning for Ego-Motion Estimation.

Jiexiong Tang, Rares Ambrus, Vitor Guizilini, Sudeep Pillai, Hanme Kim, Patric Jensfelt, Adrien Gaidon

Proceedings of the 4th Conference on Robot Learning, 2020

Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion.

Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Wolfram Burgard, Greg Shakhnarovich, Adrien Gaidon

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

Self-Supervised 3D Keypoint Learning for Ego-motion Estimation.

Jiexiong Tang, Rares Ambrus, Vitor Guizilini, Sudeep Pillai, Hanme Kim, Adrien Gaidon

CoRR, 2019

Self-Supervised Visual Place Recognition Learning in Mobile Robots.

Sudeep Pillai, John J. Leonard

CoRR, 2019

PackNet-SfM: 3D Packing for Self-Supervised Monocular Depth Estimation.

Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Adrien Gaidon

CoRR, 2019

SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation.

Sudeep Pillai, Rares Ambrus, Adrien Gaidon

Proceedings of the International Conference on Robotics and Automation, 2019

Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances.

Vitor Guizilini, Jie Li, Rares Ambrus, Sudeep Pillai, Adrien Gaidon

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Two Stream Networks for Self-Supervised Ego-Motion Estimation.

Rares Ambrus, Vitor Guizilini, Jie Li, Sudeep Pillai, Adrien Gaidon

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2017

Simultaneous Localization and Mapping- aware, self-supervised perception in mobile robots.

Sudeep Pillai

PhD thesis, 2017

Exploring big volume sensor data with Vroom.

Oscar R. Moll, Aaron Zalewski, Sudeep Pillai, Samuel Madden, Michael Stonebraker, Vijay Gadepally

Proc. VLDB Endow., 2017

Towards visual ego-motion learning in robots.

Sudeep Pillai, John J. Leonard

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

SLAMinDB: Centralized graph databases for mobile robotics.

Dehann Fourie, Samuel Claassens, Sudeep Pillai, Roxana Mata, John J. Leonard

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

High-performance and tunable stereo reconstruction.

Sudeep Pillai, Srikumar Ramalingam, John J. Leonard

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015

Bitcoin Transaction Graph Analysis.

Michael Fleder, Michael S. Kester, Sudeep Pillai

CoRR, 2015

Monocular SLAM Supported Object Recognition.

Sudeep Pillai, John J. Leonard

Proceedings of the Robotics: Science and Systems XI, Sapienza University of Rome, 2015

Line-sweep: Cross-ratio for wide-baseline matching and 3D reconstruction.

Srikumar Ramalingam, Michel Antunes, Daniel Snow, Gim Hee Lee, Sudeep Pillai

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Learning Articulated Motions From Visual Demonstration.

Sudeep Pillai, Matthew R. Walter, Seth J. Teller

Proceedings of the Robotics: Science and Systems X, 2014

A summary of team MIT's approach to the virtual robotics challenge.

Russ Tedrake, Maurice F. Fallon, Sisir Karumanchi, Scott Kuindersma, Matthew E. Antone, Toby Schneider, Thomas M. Howard, Matthew R. Walter, Hongkai Dai, Robin Deits, Michael Fleder, Dehann Fourie, Riad I. Hammoud, Sachithra Hemachandra, P. Ilardi, Claudia Pérez-D'Arpino, Sudeep Pillai, Andres Valenzuela, Cecilia Cantu, C. Dolan, I. Evans, S. Jorgensen, J. Kristeller, Julie A. Shah, Karl Iagnemma, Seth J. Teller

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2012

Towards Enabling a Robot to Effectively Assist People in Human-Occupied Environments.

Sachithra Hemachandra, Ross Finman, Sudeep Pillai, Seth J. Teller, Matthew R. Walter

Proceedings of the Designing Intelligent Robots, 2012