Stephen Tyree

According to our database1, Stephen Tyree authored at least 40 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
Diff-DOPE: Differentiable Deep Object Pose Estimation.
CoRR, 2023

HANDAL: A Dataset of Real-World Manipulable Object Categories with Pose Annotations, Affordances, and Reconstructions.
IROS, 2023

RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects.
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.
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.
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.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Neural Geometric Fabrics: Efficiently Learning High-Dimensional Policies from Demonstration.
Proceedings of the Conference on Robot Learning, 2022

MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare.
Proceedings of the Conference on Robot Learning, 2022

2021
NViSII: A Scriptable Tool for Photorealistic Image Generation.
CoRR, 2021

Multi-view Fusion for Multi-level Robotic Scene Understanding.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020
How to Close Sim-Real Gap? Transfer with Segmentation!
CoRR, 2020

Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019
Exact Gaussian Processes on a Million Data Points.
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.
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.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Improving Landmark Localization With Semi-Supervised Learning.
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.
CoRR, 2017

Pruning Convolutional Neural Networks for Resource Efficient Inference.
Proceedings of the 5th International Conference on Learning Representations, 2017

Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU.
Proceedings of the 5th International Conference on Learning Representations, 2017

A Lightweight Approach for On-the-Fly Reflectance Estimation.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Pruning Convolutional Neural Networks for Resource Efficient Transfer Learning.
CoRR, 2016

GA3C: GPU-based A3C for Deep Reinforcement Learning.
CoRR, 2016

Compressing Convolutional Neural Networks in the Frequency Domain.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Towards selecting robust hand gestures for automotive interfaces.
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Compressed Support Vector Machines.
CoRR, 2015

Compressing Convolutional Neural Networks.
CoRR, 2015

Compressing Neural Networks with the Hashing Trick.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
Parallel Support Vector Machines in Practice.
CoRR, 2014

Marginalizing Corrupted Features.
CoRR, 2014

Stochastic Covariance Compression.
CoRR, 2014

Stochastic Neighbor Compression.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Learning with Marginalized Corrupted Features.
Proceedings of the 30th International Conference on Machine Learning, 2013

Predicting a multi-parametric probability map of active tumor extent using random forests.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
Non-linear Metric Learning.
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.
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.
Proceedings of the Bioinformatics and Computational Biology, 2009

2008
Strata-Gem: risk assessment through mission modeling.
Proceedings of the 4th ACM Workshop on Quality of Protection, 2008


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