Tyree, Stephen

16 publications

CVPR 2025 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

ICLRW 2025 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

CVPR 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

CoRL 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

CoRL 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

NeurIPS 2019 Exact Gaussian Processes on a Million Data Points Ke Wang, Geoff Pleiss, Jacob Gardner, Stephen Tyree, Kilian Q. Weinberger, Andrew Gordon Wilson

CVPR 2019 Importance Estimation for Neural Network Pruning Pavlo Molchanov, Arun Mallya, Stephen Tyree, Iuri Frosio, Jan Kautz

CVPR 2018 Improving Landmark Localization with Semi-Supervised Learning Sina Honari, Pavlo Molchanov, Stephen Tyree, Pascal Vincent, Christopher Pal, Jan Kautz

ICCV 2017 A Lightweight Approach for On-the-Fly Reflectance Estimation Kihwan Kim, Jinwei Gu, Stephen Tyree, Pavlo Molchanov, Matthias Niessner, Jan Kautz

ICLR 2017 Pruning Convolutional Neural Networks for Resource Efficient Inference Pavlo Molchanov, Stephen Tyree, Tero Karras, Timo Aila, Jan Kautz

ICLR 2017 Reinforcement Learning Through Asynchronous Advantage Actor-Critic on a GPU Mohammad Babaeizadeh, Iuri Frosio, Stephen Tyree, Jason Clemons, Jan Kautz

CVPR 2016 Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Network Pavlo Molchanov, Xiaodong Yang, Shalini Gupta, Kihwan Kim, Stephen Tyree, Jan Kautz

ICML 2015 Compressing Neural Networks with the Hashing Trick Wenlin Chen, James Wilson, Stephen Tyree, Kilian Weinberger, Yixin Chen

ICML 2014 Stochastic Neighbor Compression Matt Kusner, Stephen Tyree, Kilian Weinberger, Kunal Agrawal

ICML 2013 Learning with Marginalized Corrupted Features Laurens Maaten, Minmin Chen, Stephen Tyree, Kilian Weinberger

NeurIPS 2012 Non-Linear Metric Learning Dor Kedem, Stephen Tyree, Fei Sha, Gert R. Lanckriet, Kilian Q. Weinberger