Stephen Tyree | Research

Stephen Tyree

Stephen joined the Learning and Perception group at NVIDIA Research in 2015 and has worked in the areas of deep learning, computer vision, and robotics. He completed his Ph.D. in Computer Science at Washington University in St. Louis (St. Louis, MO, USA) in December 2014. He holds a Bachelors degree in computer science and mathematics and a Masters degree in computer science, both from the University of Tulsa (Tulsa, OK, USA).

Research Area(s)

Artificial Intelligence and Machine Learning

Computer Vision

Main Field of Interest

Computer Vision

Google Scholar

https://scholar.google.com/citations?hl=en&user=PGZLZFUAAAAJ

Publications

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, Jeff Smith, Stan Birchfield

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

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

IEEE International Conference on Robotics and Automation (ICRA) 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 Loop, Alexander Schwing, Stan Birchfield

2022

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

Yann Labbe, Lucas Manuelli, Arsalan Mousavian, Stephen Tyree, Stan Birchfield, Jonathan Tremblay, et al.

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

Stephen Tyree, Jonathan Tremblay, Stan Birchfield, et al.

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

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

ICRA 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

ICRA 2022

2021

Multi-View Fusion for Multi-Level Robotic Scene Understanding

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

NViSII: A Scriptable Tool for Photorealistic Image Generation

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

SDG Workshop at ICLR 2021

2020

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

Jonathan Tremblay, Stephen Tyree, Terry Mosier, Stan Birchfield

IROS 2020

How to close sim-real gap? transfer with segmentation!

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

arxiv

2019

Importance Estimation for Neural Network Pruning

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

CVPR2019

2018

Improving Landmark Localization with Semi-Supervised Learning

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

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

IEEE International Conference on Robotics and Automation (ICRA) 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

NIPS 2017 Workshop on Acting and Interacting in the Real World: Challenges in …

A Lightweight Approach for On-the-Fly Reflectance Estimation

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

IEEE International Conference on Computer Vision (ICCV 2017)

Pruning Convolutional Neural Networks for Resource Efficient Inference

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

International Conference on Learning Representations (ICLR 2017)

Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU

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

Proceeding of ICLR 2017

2016

Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU

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

Towards Selecting Robust Hand Gestures for Automotive Interfaces

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

IEEE Intelligent Vehicles Symposium (IV) 2016

Towards Selecting Robust Hand Gestures for Automotive Interfaces

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

IEEE Intelligent Vehicles Symposium

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

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

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016

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