Stephen Tyree

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 42

Top Topics

Gaussian Process

Pose Estimation

Top Venues

Publications

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)
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)
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 (2023)
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)
Jonathan Tremblay, Bowen Wen, Valts Blukis, Balakumar Sundaralingam, Stephen Tyree, Stan Birchfield
Diff-DOPE: Differentiable Deep Object Pose Estimation. CoRR (2023)
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 (2023)
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)
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 (2022)
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 (2022)
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 (2022)
Zhenggang Tang, Balakumar Sundaralingam, Jonathan Tremblay, Bowen Wen, Ye Yuan, Stephen Tyree, Charles T. Loop, Alexander Schwing, Stan Birchfield
RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control. CoRR (2022)
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)
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)
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)
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)
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 (2022)
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)
Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield
Multi-view Fusion for Multi-level Robotic Scene Understanding. IROS (2021)
Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield
Multi-view Fusion for Multi-level Robotic Scene Understanding. CoRR (2021)
Nathan Morrical, Jonathan Tremblay, Yunzhi Lin, Stephen Tyree, Stan Birchfield, Valerio Pascucci, Ingo Wald
NViSII: A Scriptable Tool for Photorealistic Image Generation. CoRR (2021)
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 (2021)
Jonathan Tremblay, Stephen Tyree, Terry Mosier, Stan Birchfield
Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera. IROS (2020)
Mengyuan Yan, Qingyun Sun, Iuri Frosio, Stephen Tyree, Jan Kautz
How to Close Sim-Real Gap? Transfer with Segmentation! CoRR (2020)
Jonathan Tremblay, Stephen Tyree, Terry Mosier, Stan Birchfield
Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera. CoRR (2020)
Pavlo Molchanov, Arun Mallya, Stephen Tyree, Iuri Frosio, Jan Kautz
Importance Estimation for Neural Network Pruning. CVPR (2019)
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)
Pavlo Molchanov, Arun Mallya, Stephen Tyree, Iuri Frosio, Jan Kautz
Importance Estimation for Neural Network Pruning. CoRR (2019)
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 (2019)
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 (2018)
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)
Sina Honari, Pavlo Molchanov, Stephen Tyree, Pascal Vincent, Christopher J. Pal, Jan Kautz
Improving Landmark Localization With Semi-Supervised Learning. CVPR (2018)
Mengyuan Yan, Iuri Frosio, Stephen Tyree, Jan Kautz
Sim-to-Real Transfer of Accurate Grasping with Eye-In-Hand Observations and Continuous Control. CoRR (2017)
Sina Honari, Pavlo Molchanov, Stephen Tyree, Pascal Vincent, Christopher Joseph Pal, Jan Kautz
Improving Landmark Localization with Semi-Supervised Learning. CoRR (2017)
Pavlo Molchanov, Stephen Tyree, Tero Karras, Timo Aila, Jan Kautz
Pruning Convolutional Neural Networks for Resource Efficient Inference. ICLR (Poster) (2017)
Mohammad Babaeizadeh, Iuri Frosio, Stephen Tyree, Jason Clemons, Jan Kautz
Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU. ICLR (Poster) (2017)
Kihwan Kim, Jinwei Gu, Stephen Tyree, Pavlo Molchanov, Matthias Nießner, Jan Kautz
A Lightweight Approach for On-the-Fly Reflectance Estimation. CoRR (2017)
Kihwan Kim, Jinwei Gu, Stephen Tyree, Pavlo Molchanov, Matthias Nießner, Jan Kautz
A Lightweight Approach for On-the-Fly Reflectance Estimation. ICCV (2017)
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)
Mohammad Babaeizadeh, Iuri Frosio, Stephen Tyree, Jason Clemons, Jan Kautz
GA3C: GPU-based A3C for Deep Reinforcement Learning. CoRR (2016)
Pavlo Molchanov, Stephen Tyree, Tero Karras, Timo Aila, Jan Kautz
Pruning Convolutional Neural Networks for Resource Efficient Transfer Learning. CoRR (2016)
Shalini Gupta, Pavlo Molchanov, Xiaodong Yang, Kihwan Kim, Stephen Tyree, Jan Kautz
Towards selecting robust hand gestures for automotive interfaces. Intelligent Vehicles Symposium (2016)
Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen
Compressing Convolutional Neural Networks in the Frequency Domain. KDD (2016)
Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen
Compressing Neural Networks with the Hashing Trick. ICML (2015)
Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen
Compressing Neural Networks with the Hashing Trick. CoRR (2015)
Zhixiang Eddie Xu, Jacob R. Gardner, Stephen Tyree, Kilian Q. Weinberger
Compressed Support Vector Machines. CoRR (2015)
Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen
Compressing Convolutional Neural Networks. CoRR (2015)
Matt J. Kusner, Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal
Stochastic Neighbor Compression. ICML (2014)
Matt J. Kusner, Nicholas I. Kolkin, Stephen Tyree, Kilian Q. Weinberger
Stochastic Covariance Compression. CoRR (2014)
Stephen Tyree, Jacob R. Gardner, Kilian Q. Weinberger, Kunal Agrawal, John Tran
Parallel Support Vector Machines in Practice. CoRR (2014)
Laurens van der Maaten, Minmin Chen, Stephen Tyree, Kilian Q. Weinberger
Marginalizing Corrupted Features. CoRR (2014)
Laurens van der Maaten, Minmin Chen, Stephen Tyree, Kilian Q. Weinberger
Learning with Marginalized Corrupted Features. ICML (1) (2013)
Fred W. Prior, Sarah Jost Fouke, Tammie L. 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)
Dor Kedem, Stephen Tyree, Kilian Q. Weinberger, Fei Sha, Gert R. G. Lanckriet
Non-linear Metric Learning. NIPS (2012)
Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal, Jennifer Paykin
Parallel boosted regression trees for web search ranking. WWW (2011)
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)
Kevin Clark, Ethan Singleton, Stephen Tyree, John Hale
Strata-Gem: risk assessment through mission modeling. QoP (2008)