Sudeep Pillai
Sudeep Pillai
Machine Learning Engineering Lead, Toyota Research Institute (TRI)
Verified email at csail.mit.edu - Homepage
Title
Cited by
Cited by
Year
Bitcoin Transaction Graph Analysis
M Fleder, M Kester, S Pillai
1592013
Monocular SLAM Supported Object Recognition
S Pillai, J Leonard
Robotics: Science and Systems XI, 2015
1162015
Superdepth: Self-supervised, super-resolved monocular depth estimation
S Pillai, R Ambruş, A Gaidon
2019 International Conference on Robotics and Automation (ICRA), 9250-9256, 2019
732019
Learning Articulated Motions From Visual Demonstration
S Pillai, M Walter, S Teller
Proceedings of Robotics: Science and Systems 10, 2014
362014
Towards visual ego-motion learning in robots
S Pillai, JJ Leonard
Intelligent Robots and Systems (IROS), 2017 IEEE/RSJ International Conference on, 2017
292017
High-Performance and Tunable Stereo Reconstruction
S Pillai, S Ramalingam, JJ Leonard
2016 IEEE International Conference on Robotics and Automation (ICRA), 2015
292015
Line-sweep: Cross-ratio for wide-baseline matching and 3D reconstruction
S Ramalingam, M Antunes, D Snow, G Hee Lee, S Pillai
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
222015
A Summary of Team MIT’s Approach to the Virtual Robotics Challenge
R Tedrake, M Fallon, S Karumanchi, S Kuindersma, M Antone, ...
IEEE International Conference on Robotics and Automation (ICRA), 2014
172014
Packnet-sfm: 3d packing for self-supervised monocular depth estimation
V Guizilini, R Ambrus, S Pillai, A Gaidon
arXiv preprint arXiv:1905.02693 5, 2019
142019
3D Packing for Self-Supervised Monocular Depth Estimation
V Guizilini, R Ambrus, S Pillai, A Raventos, A Gaidon
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
132020
Exploring big volume sensor data with Vroom
O Moll, A Zalewski, S Pillai, S Madden, M Stonebraker, V Gadepally
122017
3D object tracking using the Kinect
M Fleder, S Pillai, J Scott
MIT CSAIL, 0
8
SLAMinDB: Centralized graph databases for mobile robotics
D Fourie, S Classens, S Pillai, R Mata, J Leonard
IEEE International Conference on Robotics and Automation (ICRA), 2017, 2017
52017
Two stream networks for self-supervised ego-motion estimation
R Ambrus, V Guizilini, J Li, S Pillai, A Gaidon
Conference on Robot Learning, 1052-1061, 2020
32020
Robust Semi-Supervised Monocular Depth Estimation With Reprojected Distances
V Guizilini, J Li, R Ambrus, S Pillai, A Gaidon
Conference on Robot Learning, 503-512, 2020
22020
PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving
KH Lee, M Kliemann, A Gaidon, J Li, C Fang, S Pillai, W Burgard
arXiv e-prints, arXiv: 2008.01179, 2020
12020
Self-Supervised 3D Keypoint Learning for Ego-motion Estimation
J Tang, R Ambrus, V Guizilini, S Pillai, H Kim, A Gaidon
arXiv preprint arXiv:1912.03426, 2019
12019
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion
I Vasiljevic, V Guizilini, R Ambrus, S Pillai, W Burgard, G Shakhnarovich, ...
arXiv preprint arXiv:2008.06630, 2020
2020
End-to-end Birds-eye-view Flow Estimation for Autonomous Driving
KH Lee, M Kliemann, A Gaidon, J Li, C Fang, S Pillai, W Burgard
arXiv preprint arXiv:2008.01179, 2020
2020
Auto-labeling of driving logs using analysis-by-synthesis and unsupervised domain adaptation
AD Gaidon, JJ Kuffner Jr, S Pillai
US Patent App. 16/175,210, 2020
2020
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