Stephen Tyree

According to our database, Stephen Tyree authored at least 41 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

RoboSpatial: Teaching Spatial Understanding to 2D and 3D Vision-Language Models for Robotics.

Chan Hee Song, Valts Blukis, Jonathan Tremblay, Stephen Tyree, Yu Su, Stan Birchfield

CoRR, 2024

2023

Diff-DOPE: Differentiable Deep Object Pose Estimation.

Jonathan Tremblay, Bowen Wen, Valts Blukis, Balakumar Sundaralingam, Stephen Tyree, Stan Birchfield

CoRR, 2023

HANDAL: A Dataset of Real-World Manipulable Object Categories with Pose Annotations, Affordances, and Reconstructions.

Andrew Guo, Bowen Wen, Jianhe Yuan, Jonathan Tremblay, Stephen Tyree, Jeffrey Smith, Stan Birchfield

IROS, 2023

RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control.

Zhenggang Tang, Balakumar Sundaralingam, Jonathan Tremblay, Bowen Wen, Ye Yuan, Stephen Tyree, Charles T. Loop, Alexander G. Schwing, Stan Birchfield

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation.

Yunzhi Lin, Thomas Müller, Jonathan Tremblay, Bowen Wen, Stephen Tyree, Alex Evans, Patricio A. Vela, Stan Birchfield

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects.

Bowen Wen, Jonathan Tremblay, Valts Blukis, Stephen Tyree, Thomas Müller, Alex Evans, Dieter Fox, Jan Kautz, Stan Birchfield

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

6-DoF Pose Estimation of Household Objects for Robotic Manipulation: An Accessible Dataset and Benchmark.

Stephen Tyree, Jonathan Tremblay, Thang To, Jia Cheng, Terry Mosier, Jeffrey Smith, Stan Birchfield

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Single-Stage Keypoint- Based Category-Level Object Pose Estimation from an RGB Image.

Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Keypoint-Based Category-Level Object Pose Tracking from an RGB Sequence with Uncertainty Estimation.

Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Neural Geometric Fabrics: Efficiently Learning High-Dimensional Policies from Demonstration.

Mandy Xie, Ankur Handa, Stephen Tyree, Dieter Fox, Harish Ravichandar, Nathan D. Ratliff, Karl Van Wyk

Proceedings of the Conference on Robot Learning, 2022

MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare.

Yann Labbé, Lucas Manuelli, Arsalan Mousavian, Stephen Tyree, Stan Birchfield, Jonathan Tremblay, Justin Carpentier, Mathieu Aubry, Dieter Fox, Josef Sivic

Proceedings of the Conference on Robot Learning, 2022

2021

NViSII: A Scriptable Tool for Photorealistic Image Generation.

Nathan Morrical, Jonathan Tremblay, Yunzhi Lin, Stephen Tyree, Stan Birchfield, Valerio Pascucci, Ingo Wald

CoRR, 2021

Multi-view Fusion for Multi-level Robotic Scene Understanding.

Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

How to Close Sim-Real Gap? Transfer with Segmentation!

Mengyuan Yan, Qingyun Sun, Iuri Frosio, Stephen Tyree, Jan Kautz

CoRR, 2020

Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera.

Jonathan Tremblay, Stephen Tyree, Terry Mosier, Stan Birchfield

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

Exact Gaussian Processes on a Million Data Points.

Ke Alexander Wang, Geoff Pleiss, Jacob R. Gardner, Stephen Tyree, Kilian Q. Weinberger, Andrew Gordon Wilson

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Importance Estimation for Neural Network Pruning.

Pavlo Molchanov, Arun Mallya, Stephen Tyree, Iuri Frosio, Jan Kautz

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations.

Jonathan Tremblay, Thang To, Artem Molchanov, Stephen Tyree, Jan Kautz, Stan Birchfield

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Improving Landmark Localization With Semi-Supervised Learning.

Sina Honari, Pavlo Molchanov, Stephen Tyree, Pascal Vincent, Christopher J. Pal, Jan Kautz

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Sim-to-Real Transfer of Accurate Grasping with Eye-In-Hand Observations and Continuous Control.

Mengyuan Yan, Iuri Frosio, Stephen Tyree, Jan Kautz

CoRR, 2017

Pruning Convolutional Neural Networks for Resource Efficient Inference.

Pavlo Molchanov, Stephen Tyree, Tero Karras, Timo Aila, Jan Kautz

Proceedings of the 5th International Conference on Learning Representations, 2017

Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU.

Mohammad Babaeizadeh, Iuri Frosio, Stephen Tyree, Jason Clemons, Jan Kautz

Proceedings of the 5th International Conference on Learning Representations, 2017

A Lightweight Approach for On-the-Fly Reflectance Estimation.

Kihwan Kim, Jinwei Gu, Stephen Tyree, Pavlo Molchanov, Matthias Nießner, Jan Kautz

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Pruning Convolutional Neural Networks for Resource Efficient Transfer Learning.

Pavlo Molchanov, Stephen Tyree, Tero Karras, Timo Aila, Jan Kautz

CoRR, 2016

GA3C: GPU-based A3C for Deep Reinforcement Learning.

Mohammad Babaeizadeh, Iuri Frosio, Stephen Tyree, Jason Clemons, Jan Kautz

CoRR, 2016

Compressing Convolutional Neural Networks in the Frequency Domain.

Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Towards selecting robust hand gestures for automotive interfaces.

Shalini Gupta, Pavlo Molchanov, Xiaodong Yang, Kihwan Kim, Stephen Tyree, Jan Kautz

Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks.

Pavlo Molchanov, Xiaodong Yang, Shalini Gupta, Kihwan Kim, Stephen Tyree, Jan Kautz

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Compressed Support Vector Machines.

Zhixiang Eddie Xu, Jacob R. Gardner, Stephen Tyree, Kilian Q. Weinberger

CoRR, 2015

Compressing Convolutional Neural Networks.

Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen

CoRR, 2015

Compressing Neural Networks with the Hashing Trick.

Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Parallel Support Vector Machines in Practice.

Stephen Tyree, Jacob R. Gardner, Kilian Q. Weinberger, Kunal Agrawal, John Tran

CoRR, 2014

Marginalizing Corrupted Features.

Laurens van der Maaten, Minmin Chen, Stephen Tyree, Kilian Q. Weinberger

CoRR, 2014

Stochastic Covariance Compression.

Matt J. Kusner, Nicholas I. Kolkin, Stephen Tyree, Kilian Q. Weinberger

CoRR, 2014

Stochastic Neighbor Compression.

Matt J. Kusner, Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Learning with Marginalized Corrupted Features.

Laurens van der Maaten, Minmin Chen, Stephen Tyree, Kilian Q. Weinberger

Proceedings of the 30th International Conference on Machine Learning, 2013

Predicting a multi-parametric probability map of active tumor extent using random forests.

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

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012

Non-linear Metric Learning.

Dor Kedem, Stephen Tyree, Kilian Q. Weinberger, Fei Sha, Gert R. G. Lanckriet

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Parallel boosted regression trees for web search ranking.

Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal, Jennifer Paykin

Proceedings of the 20th International Conference on World Wide Web, 2011

2009

GridSPiM: A Framework for Simple Locality and Containment in the Stochastic pi-Calculus.

Stephen Tyree, Rayus Kuplicki, Trevor Sarratt, Scott Fujan, John Hale

Proceedings of the Bioinformatics and Computational Biology, 2009

2008

Strata-Gem: risk assessment through mission modeling.

Kevin Clark, Ethan Singleton, Stephen Tyree, John Hale

Proceedings of the 4th ACM Workshop on Quality of Protection, 2008