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Sudeep Pillai
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2020 – today
- 2022
- [c17]Daniel Kang, Nikos Aréchiga, Sudeep Pillai, Peter D. Bailis, Matei Zaharia:
Finding Label and Model Errors in Perception Data With Learned Observation Assertions. SIGMOD Conference 2022: 496-505 - [i15]Daniel Kang, Nikos Aréchiga, Sudeep Pillai, Peter Bailis, Matei Zaharia:
Finding Label and Model Errors in Perception Data With Learned Observation Assertions. CoRR abs/2201.05797 (2022) - 2020
- [c16]Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Wolfram Burgard, Greg Shakhnarovich, Adrien Gaidon:
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion. 3DV 2020: 1-11 - [c15]Jiexiong Tang, Rares Ambrus, Vitor Guizilini, Sudeep Pillai, Hanme Kim, Patric Jensfelt, Adrien Gaidon:
Self-Supervised 3D Keypoint Learning for Ego-Motion Estimation. CoRL 2020: 2085-2103 - [c14]Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Allan Raventos, Adrien Gaidon:
3D Packing for Self-Supervised Monocular Depth Estimation. CVPR 2020: 2482-2491 - [c13]Jiexiong Tang, Hanme Kim, Vitor Guizilini, Sudeep Pillai, Rares Ambrus:
Neural Outlier Rejection for Self-Supervised Keypoint Learning. ICLR 2020 - [c12]Kuan-Hui Lee, Matthew Kliemann, Adrien Gaidon, Jie Li, Chao Fang, Sudeep Pillai, Wolfram Burgard:
PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving. IROS 2020: 2007-2013 - [i14]Kuan-Hui Lee, Matthew Kliemann, Adrien Gaidon, Jie Li, Chao Fang, Sudeep Pillai, Wolfram Burgard:
PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving. CoRR abs/2008.01179 (2020) - [i13]Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Wolfram Burgard, Greg Shakhnarovich, Adrien Gaidon:
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion. CoRR abs/2008.06630 (2020)
2010 – 2019
- 2019
- [c11]Vitor Guizilini, Jie Li, Rares Ambrus, Sudeep Pillai, Adrien Gaidon:
Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances. CoRL 2019: 503-512 - [c10]Rares Ambrus, Vitor Guizilini, Jie Li, Sudeep Pillai, Adrien Gaidon:
Two Stream Networks for Self-Supervised Ego-Motion Estimation. CoRL 2019: 1052-1061 - [c9]Sudeep Pillai, Rares Ambrus, Adrien Gaidon:
SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation. ICRA 2019: 9250-9256 - [i12]Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Adrien Gaidon:
PackNet-SfM: 3D Packing for Self-Supervised Monocular Depth Estimation. CoRR abs/1905.02693 (2019) - [i11]Sudeep Pillai, John J. Leonard:
Self-Supervised Visual Place Recognition Learning in Mobile Robots. CoRR abs/1905.04453 (2019) - [i10]Rares Ambrus, Vitor Guizilini, Jie Li, Sudeep Pillai, Adrien Gaidon:
Two Stream Networks for Self-Supervised Ego-Motion Estimation. CoRR abs/1910.01764 (2019) - [i9]Vitor Guizilini, Jie Li, Rares Ambrus, Sudeep Pillai, Adrien Gaidon:
Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances. CoRR abs/1910.01765 (2019) - [i8]Jiexiong Tang, Rares Ambrus, Vitor Guizilini, Sudeep Pillai, Hanme Kim, Adrien Gaidon:
Self-Supervised 3D Keypoint Learning for Ego-motion Estimation. CoRR abs/1912.03426 (2019) - [i7]Jiexiong Tang, Hanme Kim, Vitor Guizilini, Sudeep Pillai, Rares Ambrus:
Neural Outlier Rejection for Self-Supervised Keypoint Learning. CoRR abs/1912.10615 (2019) - 2018
- [i6]Sudeep Pillai, Rares Ambrus, Adrien Gaidon:
SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation. CoRR abs/1810.01849 (2018) - 2017
- [b1]Sudeep Pillai:
Simultaneous Localization and Mapping- aware, self-supervised perception in mobile robots. Massachusetts Institute of Technology, Cambridge, USA, 2017 - [j1]Oscar R. Moll, Aaron Zalewski, Sudeep Pillai, Samuel Madden, Michael Stonebraker, Vijay Gadepally:
Exploring big volume sensor data with Vroom. Proc. VLDB Endow. 10(12): 1973-1976 (2017) - [c8]Dehann Fourie, Samuel Claassens, Sudeep Pillai, Roxana Mata, John J. Leonard:
SLAMinDB: Centralized graph databases for mobile robotics. ICRA 2017: 6331-6337 - [c7]Sudeep Pillai, John J. Leonard:
Towards visual ego-motion learning in robots. IROS 2017: 5533-5540 - [i5]Sudeep Pillai, John J. Leonard:
Towards Visual Ego-motion Learning in Robots. CoRR abs/1705.10279 (2017) - 2016
- [c6]Sudeep Pillai, Srikumar Ramalingam, John J. Leonard:
High-performance and tunable stereo reconstruction. ICRA 2016: 3188-3195 - 2015
- [c5]Srikumar Ramalingam, Michel Antunes, Daniel Snow, Gim Hee Lee, Sudeep Pillai:
Line-sweep: Cross-ratio for wide-baseline matching and 3D reconstruction. CVPR 2015: 1238-1246 - [c4]Sudeep Pillai, John J. Leonard:
Monocular SLAM Supported Object Recognition. Robotics: Science and Systems 2015 - [i4]Michael Fleder, Michael S. Kester, Sudeep Pillai:
Bitcoin Transaction Graph Analysis. CoRR abs/1502.01657 (2015) - [i3]Sudeep Pillai, Matthew R. Walter, Seth J. Teller:
Learning Articulated Motions From Visual Demonstration. CoRR abs/1502.01659 (2015) - [i2]Sudeep Pillai, John J. Leonard:
Monocular SLAM Supported Object Recognition. CoRR abs/1506.01732 (2015) - [i1]Sudeep Pillai, Srikumar Ramalingam, John J. Leonard:
High-Performance and Tunable Stereo Reconstruction. CoRR abs/1511.00758 (2015) - 2014
- [c3]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:
A summary of team MIT's approach to the virtual robotics challenge. ICRA 2014: 2087 - [c2]Sudeep Pillai, Matthew R. Walter, Seth J. Teller:
Learning Articulated Motions From Visual Demonstration. Robotics: Science and Systems 2014 - 2012
- [c1]Sachithra Hemachandra, Ross Finman, Sudeep Pillai, Seth J. Teller, Matthew R. Walter:
Towards Enabling a Robot to Effectively Assist People in Human-Occupied Environments. AAAI Spring Symposium: Designing Intelligent Robots 2012
Coauthor Index
aka: Vitor Guizilini
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