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Stephen Tyree
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2020 – today
- 2023
- [c29]Bowen Wen, Jonathan Tremblay, Valts Blukis, Stephen Tyree, Thomas Müller, Alex Evans, Dieter Fox, Jan Kautz, Stan Birchfield:
BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects. CVPR 2023: 606-617 - [c28]Zhenggang Tang, Balakumar Sundaralingam, Jonathan Tremblay, Bowen Wen, Ye Yuan, Stephen Tyree, Charles T. Loop, Alexander G. Schwing, Stan Birchfield:
RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control. ICRA 2023: 1778-1785 - [c27]Yunzhi Lin, Thomas Müller, Jonathan Tremblay, Bowen Wen, Stephen Tyree, Alex Evans, Patricio A. Vela, Stan Birchfield:
Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation. ICRA 2023: 9377-9384 - [c26]Andrew Guo, Bowen Wen, Jianhe Yuan, Jonathan Tremblay, Stephen Tyree, Jeffrey Smith, Stan Birchfield:
HANDAL: A Dataset of Real-World Manipulable Object Categories with Pose Annotations, Affordances, and Reconstructions. IROS 2023: 11428-11435 - [i27]Bowen Wen, Jonathan Tremblay, Valts Blukis, Stephen Tyree, Thomas Müller
, Alex Evans, Dieter Fox, Jan Kautz, Stan Birchfield:
BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects. CoRR abs/2303.14158 (2023) - [i26]Andrew Guo, Bowen Wen, Jianhe Yuan, Jonathan Tremblay, Stephen Tyree, Jeffrey Smith, Stan Birchfield:
HANDAL: A Dataset of Real-World Manipulable Object Categories with Pose Annotations, Affordances, and Reconstructions. CoRR abs/2308.01477 (2023) - [i25]Jonathan Tremblay, Bowen Wen, Valts Blukis, Balakumar Sundaralingam, Stephen Tyree, Stan Birchfield:
Diff-DOPE: Differentiable Deep Object Pose Estimation. CoRR abs/2310.00463 (2023) - 2022
- [c25]Yann Labbé, Lucas Manuelli, Arsalan Mousavian, Stephen Tyree, Stan Birchfield, Jonathan Tremblay, Justin Carpentier, Mathieu Aubry, Dieter Fox, Josef Sivic:
MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare. CoRL 2022: 715-725 - [c24]Mandy Xie, Ankur Handa, Stephen Tyree, Dieter Fox, Harish Ravichandar, Nathan D. Ratliff, Karl Van Wyk:
Neural Geometric Fabrics: Efficiently Learning High-Dimensional Policies from Demonstration. CoRL 2022: 1355-1367 - [c23]Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield:
Keypoint-Based Category-Level Object Pose Tracking from an RGB Sequence with Uncertainty Estimation. ICRA 2022: 1258-1264 - [c22]Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield:
Single-Stage Keypoint- Based Category-Level Object Pose Estimation from an RGB Image. ICRA 2022: 1547-1553 - [c21]Stephen Tyree, Jonathan Tremblay, Thang To, Jia Cheng, Terry Mosier, Jeffrey Smith, Stan Birchfield:
6-DoF Pose Estimation of Household Objects for Robotic Manipulation: An Accessible Dataset and Benchmark. IROS 2022: 13081-13088 - [i24]Stephen Tyree, Jonathan Tremblay, Thang To, Jia Cheng, Terry Mosier, Jeffrey Smith, Stan Birchfield:
6-DoF Pose Estimation of Household Objects for Robotic Manipulation: An Accessible Dataset and Benchmark. CoRR abs/2203.05701 (2022) - [i23]Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield:
Keypoint-Based Category-Level Object Pose Tracking from an RGB Sequence with Uncertainty Estimation. CoRR abs/2205.11047 (2022) - [i22]Yunzhi Lin, Thomas Müller
, Jonathan Tremblay, Bowen Wen, Stephen Tyree, Alex Evans, Patricio A. Vela, Stan Birchfield:
Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation. CoRR abs/2210.10108 (2022) - [i21]Zhenggang Tang, Balakumar Sundaralingam, Jonathan Tremblay, Bowen Wen, Ye Yuan, Stephen Tyree, Charles T. Loop, Alexander G. Schwing, Stan Birchfield:
RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control. CoRR abs/2210.11668 (2022) - [i20]Yann Labbé, Lucas Manuelli, Arsalan Mousavian, Stephen Tyree, Stan Birchfield, Jonathan Tremblay, Justin Carpentier, Mathieu Aubry, Dieter Fox, Josef Sivic:
MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare. CoRR abs/2212.06870 (2022) - 2021
- [c20]Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield:
Multi-view Fusion for Multi-level Robotic Scene Understanding. IROS 2021: 6817-6824 - [i19]Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield:
Multi-view Fusion for Multi-level Robotic Scene Understanding. CoRR abs/2103.13539 (2021) - [i18]Nathan Morrical, Jonathan Tremblay, Yunzhi Lin, Stephen Tyree, Stan Birchfield, Valerio Pascucci, Ingo Wald:
NViSII: A Scriptable Tool for Photorealistic Image Generation. CoRR abs/2105.13962 (2021) - [i17]Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield:
Single-stage Keypoint-based Category-level Object Pose Estimation from an RGB Image. CoRR abs/2109.06161 (2021) - 2020
- [c19]Jonathan Tremblay, Stephen Tyree, Terry Mosier, Stan Birchfield:
Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera. IROS 2020: 4227-4234 - [i16]Mengyuan Yan, Qingyun Sun, Iuri Frosio, Stephen Tyree, Jan Kautz:
How to Close Sim-Real Gap? Transfer with Segmentation! CoRR abs/2005.07695 (2020) - [i15]Jonathan Tremblay, Stephen Tyree, Terry Mosier, Stan Birchfield:
Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera. CoRR abs/2008.11822 (2020)
2010 – 2019
- 2019
- [c18]Pavlo Molchanov, Arun Mallya, Stephen Tyree, Iuri Frosio, Jan Kautz:
Importance Estimation for Neural Network Pruning. CVPR 2019: 11264-11272 - [c17]Ke Alexander Wang, Geoff Pleiss, Jacob R. Gardner, Stephen Tyree, Kilian Q. Weinberger, Andrew Gordon Wilson:
Exact Gaussian Processes on a Million Data Points. NeurIPS 2019: 14622-14632 - [i14]Ke Alexander Wang, Geoff Pleiss, Jacob R. Gardner, Stephen Tyree, Kilian Q. Weinberger, Andrew Gordon Wilson:
Exact Gaussian Processes on a Million Data Points. CoRR abs/1903.08114 (2019) - [i13]Pavlo Molchanov, Arun Mallya, Stephen Tyree, Iuri Frosio, Jan Kautz:
Importance Estimation for Neural Network Pruning. CoRR abs/1906.10771 (2019) - 2018
- [c16]Sina Honari, Pavlo Molchanov, Stephen Tyree, Pascal Vincent, Christopher J. Pal, Jan Kautz:
Improving Landmark Localization With Semi-Supervised Learning. CVPR 2018: 1546-1555 - [c15]Jonathan Tremblay, Thang To, Artem Molchanov, Stephen Tyree, Jan Kautz, Stan Birchfield:
Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations. ICRA 2018: 1-5 - [i12]Jonathan Tremblay, Thang To, Artem Molchanov, Stephen Tyree, Jan Kautz, Stan Birchfield:
Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations. CoRR abs/1805.07054 (2018) - 2017
- [c14]Kihwan Kim, Jinwei Gu, Stephen Tyree, Pavlo Molchanov, Matthias Nießner, Jan Kautz:
A Lightweight Approach for On-the-Fly Reflectance Estimation. ICCV 2017: 20-28 - [c13]Mohammad Babaeizadeh, Iuri Frosio, Stephen Tyree, Jason Clemons
, Jan Kautz:
Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU. ICLR (Poster) 2017 - [c12]Pavlo Molchanov, Stephen Tyree, Tero Karras, Timo Aila, Jan Kautz:
Pruning Convolutional Neural Networks for Resource Efficient Inference. ICLR (Poster) 2017 - [i11]Kihwan Kim, Jinwei Gu, Stephen Tyree, Pavlo Molchanov, Matthias Nießner, Jan Kautz:
A Lightweight Approach for On-the-Fly Reflectance Estimation. CoRR abs/1705.07162 (2017) - [i10]Sina Honari, Pavlo Molchanov, Stephen Tyree, Pascal Vincent, Christopher Joseph Pal, Jan Kautz:
Improving Landmark Localization with Semi-Supervised Learning. CoRR abs/1709.01591 (2017) - [i9]Mengyuan Yan, Iuri Frosio, Stephen Tyree, Jan Kautz:
Sim-to-Real Transfer of Accurate Grasping with Eye-In-Hand Observations and Continuous Control. CoRR abs/1712.03303 (2017) - 2016
- [c11]Pavlo Molchanov, Xiaodong Yang, Shalini Gupta, Kihwan Kim, Stephen Tyree, Jan Kautz:
Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks. CVPR 2016: 4207-4215 - [c10]Shalini Gupta, Pavlo Molchanov, Xiaodong Yang, Kihwan Kim, Stephen Tyree, Jan Kautz:
Towards selecting robust hand gestures for automotive interfaces. Intelligent Vehicles Symposium 2016: 1350-1357 - [c9]Wenlin Chen, James T. Wilson
, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen:
Compressing Convolutional Neural Networks in the Frequency Domain. KDD 2016: 1475-1484 - [i8]Mohammad Babaeizadeh, Iuri Frosio, Stephen Tyree, Jason Clemons, Jan Kautz:
GA3C: GPU-based A3C for Deep Reinforcement Learning. CoRR abs/1611.06256 (2016) - [i7]Pavlo Molchanov, Stephen Tyree, Tero Karras, Timo Aila, Jan Kautz:
Pruning Convolutional Neural Networks for Resource Efficient Transfer Learning. CoRR abs/1611.06440 (2016) - 2015
- [c8]Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen:
Compressing Neural Networks with the Hashing Trick. ICML 2015: 2285-2294 - [i6]Zhixiang Eddie Xu, Jacob R. Gardner, Stephen Tyree, Kilian Q. Weinberger:
Compressed Support Vector Machines. CoRR abs/1501.06478 (2015) - [i5]Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen:
Compressing Neural Networks with the Hashing Trick. CoRR abs/1504.04788 (2015) - [i4]Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen:
Compressing Convolutional Neural Networks. CoRR abs/1506.04449 (2015) - 2014
- [c7]Matt J. Kusner, Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal:
Stochastic Neighbor Compression. ICML 2014: 622-630 - [i3]Laurens van der Maaten, Minmin Chen, Stephen Tyree, Kilian Q. Weinberger:
Marginalizing Corrupted Features. CoRR abs/1402.7001 (2014) - [i2]Stephen Tyree, Jacob R. Gardner, Kilian Q. Weinberger, Kunal Agrawal, John Tran:
Parallel Support Vector Machines in Practice. CoRR abs/1404.1066 (2014) - [i1]Matt J. Kusner, Nicholas I. Kolkin, Stephen Tyree, Kilian Q. Weinberger:
Stochastic Covariance Compression. CoRR abs/1412.1740 (2014) - 2013
- [c6]Fred W. Prior, Sarah Jost Fouke, Tammie L. S. Benzinger
, Alicia Boyd, Michael Chicoine, Sharath R. Cholleti, Matthew Kelsey, Bart Keogh, Lauren Kim, Mikhail Milchenko, David G. Politte, Stephen Tyree, Kilian Q. Weinberger, Daniel S. Marcus:
Predicting a multi-parametric probability map of active tumor extent using random forests. EMBC 2013: 6478-6481 - [c5]Laurens van der Maaten, Minmin Chen, Stephen Tyree, Kilian Q. Weinberger:
Learning with Marginalized Corrupted Features. ICML (1) 2013: 410-418 - 2012
- [c4]Dor Kedem, Stephen Tyree, Kilian Q. Weinberger, Fei Sha, Gert R. G. Lanckriet:
Non-linear Metric Learning. NIPS 2012: 2582-2590 - 2011
- [c3]Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal, Jennifer Paykin:
Parallel boosted regression trees for web search ranking. WWW 2011: 387-396
2000 – 2009
- 2009
- [c2]Stephen Tyree, Rayus Kuplicki, Trevor Sarratt, Scott Fujan, John Hale:
GridSPiM: A Framework for Simple Locality and Containment in the Stochastic pi-Calculus. BICoB 2009: 409-423 - 2008
- [c1]Kevin Clark, Ethan Singleton, Stephen Tyree, John Hale:
Strata-Gem: risk assessment through mission modeling. QoP 2008: 51-58
Coauthor Index
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