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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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last updated on 2024-10-07 22:19 CEST by the dblp team
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