Stephen Tyree - RankMe

59 papers A* 16A 4B 1Misc 2Journal 29Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	BOP Challenge 2024 on Model-Based and Model-Free 6D Object Pose Estimation. CoRR van Nguyen Nguyen, Stephen Tyree, Andrew Guo, Mederic Fourmy, Anas Gouda, Taeyeop Lee, Sungphill Moon, Hyeontae Son, Lukas Ranftl, Jonathan Tremblay, Eric Brachmann, Bertram Drost, Vincent Lepetit, Carsten Rother, Stan Birchfield, Jiri Matas, Yann Labbé, Martin Sundermeyer, Tomas Hodan
2025	A*	`conf`	RoboSpatial: Teaching Spatial Understanding to 2D and 3D Vision-Language Models for Robotics. CVPR Chan Hee Song, Valts Blukis, Jonathan Tremblay, Stephen Tyree, Yu Su, Stan Birchfield
2024	J	`jnl`	RoboSpatial: Teaching Spatial Understanding to 2D and 3D Vision-Language Models for Robotics. CoRR Chan Hee Song, Valts Blukis, Jonathan Tremblay, Stephen Tyree, Yu Su, Stan Birchfield
2023	A*	`conf`	BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects. CVPR Bowen Wen, Jonathan Tremblay, Valts Blukis, Stephen Tyree, Thomas Müller, Alex Evans, Dieter Fox, Jan Kautz, Stan Birchfield
2023	J	`jnl`	BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects. CoRR Bowen Wen, Jonathan Tremblay, Valts Blukis, Stephen Tyree, Thomas Müller, Alex Evans, Dieter Fox, Jan Kautz, Stan Birchfield
2023	J	`jnl`	Diff-DOPE: Differentiable Deep Object Pose Estimation. CoRR Jonathan Tremblay, Bowen Wen, Valts Blukis, Balakumar Sundaralingam, Stephen Tyree, Stan Birchfield
2023	A	`conf`	HANDAL: A Dataset of Real-World Manipulable Object Categories with Pose Annotations, Affordances, and Reconstructions. IROS Andrew Guo, Bowen Wen, Jianhe Yuan, Jonathan Tremblay, Stephen Tyree, Jeffrey Smith, Stan Birchfield
2023	J	`jnl`	HANDAL: A Dataset of Real-World Manipulable Object Categories with Pose Annotations, Affordances, and Reconstructions. CoRR Andrew Guo, Bowen Wen, Jianhe Yuan, Jonathan Tremblay, Stephen Tyree, Jeffrey Smith, Stan Birchfield
2023	A*	`conf`	Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation. ICRA Yunzhi Lin, Thomas Müller, Jonathan Tremblay, Bowen Wen, Stephen Tyree, Alex Evans, Patricio A. Vela, Stan Birchfield
2023	A*	`conf`	RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control. ICRA Zhenggang Tang, Balakumar Sundaralingam, Jonathan Tremblay, Bowen Wen, Ye Yuan, Stephen Tyree, Charles T. Loop, Alexander G. Schwing, Stan Birchfield
2022	A	`conf`	6-DoF Pose Estimation of Household Objects for Robotic Manipulation: An Accessible Dataset and Benchmark. IROS Stephen Tyree, Jonathan Tremblay, Thang To, Jia Cheng, Terry Mosier, Jeffrey Smith, Stan Birchfield
2022	J	`jnl`	6-DoF Pose Estimation of Household Objects for Robotic Manipulation: An Accessible Dataset and Benchmark. CoRR Stephen Tyree, Jonathan Tremblay, Thang To, Jia Cheng, Terry Mosier, Jeffrey Smith, Stan Birchfield
2022	A*	`conf`	Keypoint-Based Category-Level Object Pose Tracking from an RGB Sequence with Uncertainty Estimation. ICRA Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield
2022	J	`jnl`	Keypoint-Based Category-Level Object Pose Tracking from an RGB Sequence with Uncertainty Estimation. CoRR Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield
2022	Misc	`conf`	MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare. CoRL Yann Labbé, Lucas Manuelli, Arsalan Mousavian, Stephen Tyree, Stan Birchfield, Jonathan Tremblay, Justin Carpentier, Mathieu Aubry, Dieter Fox, Josef Sivic
2022	J	`jnl`	MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare. CoRR Yann Labbé, Lucas Manuelli, Arsalan Mousavian, Stephen Tyree, Stan Birchfield, Jonathan Tremblay, Justin Carpentier, Mathieu Aubry, Dieter Fox, Josef Sivic
2022	Misc	`conf`	Neural Geometric Fabrics: Efficiently Learning High-Dimensional Policies from Demonstration. CoRL Mandy Xie, Ankur Handa, Stephen Tyree, Dieter Fox, Harish Ravichandar, Nathan D. Ratliff, Karl Van Wyk
2022	J	`jnl`	Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation. CoRR Yunzhi Lin, Thomas Müller, Jonathan Tremblay, Bowen Wen, Stephen Tyree, Alex Evans, Patricio A. Vela, Stan Birchfield
2022	J	`jnl`	RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control. CoRR Zhenggang Tang, Balakumar Sundaralingam, Jonathan Tremblay, Bowen Wen, Ye Yuan, Stephen Tyree, Charles T. Loop, Alexander G. Schwing, Stan Birchfield
2022	A*	`conf`	Single-Stage Keypoint- Based Category-Level Object Pose Estimation from an RGB Image. ICRA Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield
2021	A	`conf`	Multi-view Fusion for Multi-level Robotic Scene Understanding. IROS Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield
2021	J	`jnl`	Multi-view Fusion for Multi-level Robotic Scene Understanding. CoRR Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield
2021	J	`jnl`	NViSII: A Scriptable Tool for Photorealistic Image Generation. CoRR Nathan Morrical, Jonathan Tremblay, Yunzhi Lin, Stephen Tyree, Stan Birchfield, Valerio Pascucci, Ingo Wald
2021	J	`jnl`	Single-stage Keypoint-based Category-level Object Pose Estimation from an RGB Image. CoRR Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield
2020	J	`jnl`	How to Close Sim-Real Gap? Transfer with Segmentation! CoRR Mengyuan Yan, Qingyun Sun, Iuri Frosio, Stephen Tyree, Jan Kautz
2020	A	`conf`	Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera. IROS Jonathan Tremblay, Stephen Tyree, Terry Mosier, Stan Birchfield
2020	J	`jnl`	Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera. CoRR Jonathan Tremblay, Stephen Tyree, Terry Mosier, Stan Birchfield
2019	A*	`conf`	Exact Gaussian Processes on a Million Data Points. NeurIPS Ke Alexander Wang, Geoff Pleiss, Jacob R. Gardner, Stephen Tyree, Kilian Q. Weinberger, Andrew Gordon Wilson
2019	J	`jnl`	Exact Gaussian Processes on a Million Data Points. CoRR Ke Alexander Wang, Geoff Pleiss, Jacob R. Gardner, Stephen Tyree, Kilian Q. Weinberger, Andrew Gordon Wilson
2019	A*	`conf`	Importance Estimation for Neural Network Pruning. CVPR Pavlo Molchanov, Arun Mallya, Stephen Tyree, Iuri Frosio, Jan Kautz
2019	J	`jnl`	Importance Estimation for Neural Network Pruning. CoRR Pavlo Molchanov, Arun Mallya, Stephen Tyree, Iuri Frosio, Jan Kautz
2018	A*	`conf`	Improving Landmark Localization With Semi-Supervised Learning. CVPR Sina Honari, Pavlo Molchanov, Stephen Tyree, Pascal Vincent, Christopher J. Pal, Jan Kautz
2018	A*	`conf`	Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations. ICRA Jonathan Tremblay, Thang To, Artem Molchanov, Stephen Tyree, Jan Kautz, Stan Birchfield
2018	J	`jnl`	Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations. CoRR Jonathan Tremblay, Thang To, Artem Molchanov, Stephen Tyree, Jan Kautz, Stan Birchfield
2017	A*	`conf`	A Lightweight Approach for On-the-Fly Reflectance Estimation. ICCV Kihwan Kim, Jinwei Gu, Stephen Tyree, Pavlo Molchanov, Matthias Nießner, Jan Kautz
2017	J	`jnl`	A Lightweight Approach for On-the-Fly Reflectance Estimation. CoRR Kihwan Kim, Jinwei Gu, Stephen Tyree, Pavlo Molchanov, Matthias Nießner, Jan Kautz
2017	J	`jnl`	Improving Landmark Localization with Semi-Supervised Learning. CoRR Sina Honari, Pavlo Molchanov, Stephen Tyree, Pascal Vincent, Christopher Joseph Pal, Jan Kautz
2017	—	`conf`	Pruning Convolutional Neural Networks for Resource Efficient Inference. ICLR (Poster) Pavlo Molchanov, Stephen Tyree, Tero Karras, Timo Aila, Jan Kautz
2017	—	`conf`	Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU. ICLR (Poster) Mohammad Babaeizadeh, Iuri Frosio, Stephen Tyree, Jason Clemons, Jan Kautz
2017	J	`jnl`	Sim-to-Real Transfer of Accurate Grasping with Eye-In-Hand Observations and Continuous Control. CoRR Mengyuan Yan, Iuri Frosio, Stephen Tyree, Jan Kautz
2016	A*	`conf`	Compressing Convolutional Neural Networks in the Frequency Domain. KDD Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen
2016	J	`jnl`	GA3C: GPU-based A3C for Deep Reinforcement Learning. CoRR Mohammad Babaeizadeh, Iuri Frosio, Stephen Tyree, Jason Clemons, Jan Kautz
2016	A*	`conf`	Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks. CVPR Pavlo Molchanov, Xiaodong Yang, Shalini Gupta, Kihwan Kim, Stephen Tyree, Jan Kautz
2016	J	`jnl`	Pruning Convolutional Neural Networks for Resource Efficient Transfer Learning. CoRR Pavlo Molchanov, Stephen Tyree, Tero Karras, Timo Aila, Jan Kautz
2016	B	`conf`	Towards selecting robust hand gestures for automotive interfaces. Intelligent Vehicles Symposium Shalini Gupta, Pavlo Molchanov, Xiaodong Yang, Kihwan Kim, Stephen Tyree, Jan Kautz
2015	J	`jnl`	Compressed Support Vector Machines. CoRR Zhixiang Eddie Xu, Jacob R. Gardner, Stephen Tyree, Kilian Q. Weinberger
2015	J	`jnl`	Compressing Convolutional Neural Networks. CoRR Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen
2015	A*	`conf`	Compressing Neural Networks with the Hashing Trick. ICML Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen
2015	J	`jnl`	Compressing Neural Networks with the Hashing Trick. CoRR Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen
2014	J	`jnl`	Marginalizing Corrupted Features. CoRR Laurens van der Maaten, Minmin Chen, Stephen Tyree, Kilian Q. Weinberger
2014	J	`jnl`	Parallel Support Vector Machines in Practice. CoRR Stephen Tyree, Jacob R. Gardner, Kilian Q. Weinberger, Kunal Agrawal, John Tran
2014	J	`jnl`	Stochastic Covariance Compression. CoRR Matt J. Kusner, Nicholas I. Kolkin, Stephen Tyree, Kilian Q. Weinberger
2014	A*	`conf`	Stochastic Neighbor Compression. ICML Matt J. Kusner, Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal
2013	—	`conf`	Learning with Marginalized Corrupted Features. ICML (1) Laurens van der Maaten, Minmin Chen, Stephen Tyree, Kilian Q. Weinberger
2013	—	`conf`	Predicting a multi-parametric probability map of active tumor extent using random forests. EMBC 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
2012	—	`conf`	Non-linear Metric Learning. NIPS Dor Kedem, Stephen Tyree, Kilian Q. Weinberger, Fei Sha, Gert R. G. Lanckriet
2011	A*	`conf`	Parallel boosted regression trees for web search ranking. WWW Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal, Jennifer Paykin
2009	—	`conf`	GridSPiM: A Framework for Simple Locality and Containment in the Stochastic pi-Calculus. BICoB Stephen Tyree, Rayus Kuplicki, Trevor Sarratt, Scott Fujan, John Hale
2008	—	`conf`	Strata-Gem: risk assessment through mission modeling. QoP Kevin Clark, Ethan Singleton, Stephen Tyree, John Hale