Stephen Tyree

Engineering · Physical Sciences

25h-index5.1kcitations60works5.02yr avg
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Research Topics

Robotics and Sensor-Based Localization(18), Advanced Neural Network Applications(16), Human Pose and Action Recognition(16), Robot Manipulation and Learning(15), Advanced Vision and Imaging(10)

Publications60 total

Multi-View Fusion for Multi-Level Robotic Scene Understanding
arXiv (Cornell University)·2021· 1 citedOpen Access
Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera
2020· 3 citedOpen Access
Indirect Object-to-Robot Pose Estimation from an External Monocular RGB\n Camera
arXiv (Cornell University)·2020Open Access
How to Close Sim-Real Gap? Transfer with Segmentation!
arXiv (Cornell University)·2020· 6 citedOpen Access
Importance Estimation for Neural Network Pruning
2019· 81 citedOpen Access
Exact Gaussian Processes on a Million Data Points
arXiv (Cornell University)·2019· 31 citedOpen Access
Stephen Tyree: capstone
Digital Collections of Colorado (Colorado State University)·2018
Improving Landmark Localization with Semi-Supervised Learning
2018· 16 citedOpen Access
Synthetically Trained Neural Networks for Learning Human-Readable Plans\n from Real-World Demonstrations
arXiv (Cornell University)·2018Open Access
Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations
2018· 6 citedOpen Access
Sim-to-Real Transfer of Accurate Grasping with Eye-In-Hand Observations and Continuous Control
arXiv (Cornell University)·2017· 29 citedOpen Access
A Lightweight Approach for On-the-Fly Reflectance Estimation
2017· 39 cited
A Lightweight Approach for On-the-Fly Reflectance Estimation
arXiv (Cornell University)·2017· 11 citedOpen Access
Pruning Convolutional Neural Networks for Resource Efficient Inference
arXiv (Cornell University)·2016· 1.2k citedOpen Access
Pruning Convolutional Neural Networks for Resource Efficient Transfer Learning.
arXiv (Cornell University)·2016· 310 citedOpen Access
GA3C: GPU-based A3C for Deep Reinforcement Learning
2016· 53 cited
Reinforcement Learning through Asynchronous Advantage Actor-Critic on a\n GPU
arXiv (Cornell University)·2016· 174 citedOpen Access
Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU
arXiv (Cornell University)·2016· 28 citedOpen Access
Pruning Convolutional Neural Networks for Resource Efficient Inference
International Conference on Learning Representations·2016· 251 cited
Compressing Convolutional Neural Networks in the Frequency Domain
2016· 138 cited
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Frequent Co-authors

Stan Birchfield(18), Jan Kautz(17), Kilian Q. Weinberger(15), Jonathan Tremblay(10), Pavlo Molchanov(9), Bowen Wen(7), Jonathan Tremblay(7), Iuri Frosio(6), Patricio A. Vela(6), Kihwan Kim(4), James T. Wilson(4), Valts Blukis(4), Thomas Müller(4), Yunzhi Lin(4), Tero Karras(3), Timo Aila(3), Yixin Chen(3), Mohammad Babaeizadeh(3), Jason Clemons(3), Kunal Agrawal(3)