Paul Wohlhart

According to our database, Paul Wohlhart authored at least 31 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches.

Jiayuan Gu, Sean Kirmani, Paul Wohlhart, Yao Lu, Montserrat Gonzalez Arenas, Kanishka Rao, Wenhao Yu, Chuyuan Fu, Keerthana Gopalakrishnan, Zhuo Xu, Priya Sundaresan, Peng Xu, Hao Su, Karol Hausman, Chelsea Finn, Quan Vuong, Ted Xiao

CoRR, 2023

Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators.

Alexander Herzog, Kanishka Rao, Karol Hausman, Yao Lu, Paul Wohlhart, Mengyuan Yan, Jessica Lin, Montserrat Gonzalez Arenas, Ted Xiao, Daniel Kappler, Daniel Ho, Jarek Rettinghouse, Yevgen Chebotar, Kuang-Huei Lee, Keerthana Gopalakrishnan, Ryan Julian, Adrian Li, Chuyuan Kelly Fu, Bob Wei, Sangeetha Ramesh, Khem Holden, Kim Kleiven, David Rendleman, Sean Kirmani, Jeff Bingham, Jonathan Weisz, Ying Xu, Wenlong Lu, Matthew Bennice, Cody Fong, David Do, Jessica Lam, Yunfei Bai, Benjie Holson, Michael Quinlan, Noah Brown, Mrinal Kalakrishnan, Julian Ibarz, Peter Pastor, Sergey Levine

CoRR, 2023

Open-World Object Manipulation using Pre-trained Vision-Language Models.

Austin Stone, Ted Xiao, Yao Lu, Keerthana Gopalakrishnan, Kuang-Huei Lee, Quan Vuong, Paul Wohlhart, Brianna Zitkovich, Fei Xia, Chelsea Finn, Karol Hausman

CoRR, 2023

Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators.

Alexander Herzog, Kanishka Rao, Karol Hausman, Yao Lu, Paul Wohlhart, Mengyuan Yan, Jessica Lin, Montserrat Gonzalez Arenas, Ted Xiao, Daniel Kappler, Daniel Ho, Jarek Rettinghouse, Yevgen Chebotar, Kuang-Huei Lee, Keerthana Gopalakrishnan, Ryan Julian, Adrian Li, Chuyuan Fu, Bob Wei, Sangeetha Ramesh, Khem Holden, Kim Kleiven, David J. Rendleman, Sean Kirmani, Jeffrey Bingham, Jonathan Weisz, Ying Xu, Wenlong Lu, Matthew Bennice, Cody Fong, David Do, Jessica Lam, Yunfei Bai, Benjie Holson, Michael Quinlan, Noah Brown, Mrinal Kalakrishnan, Julian Ibarz, Peter Pastor, Sergey Levine

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

Brianna Zitkovich, Tianhe Yu, Sichun Xu, Peng Xu, Ted Xiao, Fei Xia, Jialin Wu, Paul Wohlhart, Stefan Welker, Ayzaan Wahid, Quan Vuong, Vincent Vanhoucke, Huong T. Tran, Radu Soricut, Anikait Singh, Jaspiar Singh, Pierre Sermanet, Pannag R. Sanketi, Grecia Salazar, Michael S. Ryoo, Krista Reymann, Kanishka Rao, Karl Pertsch, Igor Mordatch, Henryk Michalewski, Yao Lu, Sergey Levine, Lisa Lee, Tsang-Wei Edward Lee, Isabel Leal, Yuheng Kuang, Dmitry Kalashnikov, Ryan Julian, Nikhil J. Joshi, Alex Irpan, Brian Ichter, Jasmine Hsu, Alexander Herzog, Karol Hausman, Keerthana Gopalakrishnan, Chuyuan Fu, Pete Florence, Chelsea Finn, Kumar Avinava Dubey, Danny Driess, Tianli Ding, Krzysztof Marcin Choromanski, Xi Chen, Yevgen Chebotar, Justice Carbajal, Noah Brown, Anthony Brohan, Montserrat Gonzalez Arenas, Kehang Han

Proceedings of the Conference on Robot Learning, 2023

Open-World Object Manipulation using Pre-Trained Vision-Language Models.

Austin Stone, Ted Xiao, Yao Lu, Keerthana Gopalakrishnan, Kuang-Huei Lee, Quan Vuong, Paul Wohlhart, Sean Kirmani, Brianna Zitkovich, Fei Xia, Chelsea Finn, Karol Hausman

Proceedings of the Conference on Robot Learning, 2023

2022

PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale.

Kuang-Huei Lee, Ted Xiao, Adrian Li, Paul Wohlhart, Ian Fischer, Yao Lu

Proceedings of the Conference on Robot Learning, 2022

2020

Generalized Feedback Loop for Joint Hand-Object Pose Estimation.

Markus Oberweger, Paul Wohlhart, Vincent Lepetit

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards.

Allan Zhou, Eric Jang, Daniel Kappler, Alexander Herzog, Mohi Khansari, Paul Wohlhart, Yunfei Bai, Mrinal Kalakrishnan, Sergey Levine, Chelsea Finn

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Watch, Try, Learn: Meta-Learning from Demonstrations and Reward.

Allan Zhou, Eric Jang, Daniel Kappler, Alexander Herzog, Mohi Khansari, Paul Wohlhart, Yunfei Bai, Mrinal Kalakrishnan, Sergey Levine, Chelsea Finn

CoRR, 2019

Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks.

Stephen James, Paul Wohlhart, Mrinal Kalakrishnan, Dmitry Kalashnikov, Alex Irpan, Julian Ibarz, Sergey Levine, Raia Hadsell, Konstantinos Bousmalis

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping.

Konstantinos Bousmalis, Alex Irpan, Paul Wohlhart, Yunfei Bai, Matthew Kelcey, Mrinal Kalakrishnan, Laura Downs, Julian Ibarz, Peter Pastor, Kurt Konolige, Sergey Levine, Vincent Vanhoucke

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

On Pre-trained Image Features and Synthetic Images for Deep Learning.

Stefan Hinterstoisser, Vincent Lepetit, Paul Wohlhart, Kurt Konolige

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2016

Efficiently Creating 3D Training Data for Fine Hand Pose Estimation.

Markus Oberweger, Gernot Riegler, Paul Wohlhart, Vincent Lepetit

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Hands Deep in Deep Learning for Hand Pose Estimation.

Markus Oberweger, Paul Wohlhart, Vincent Lepetit

CoRR, 2015

You Should Use Regression to Detect Cells.

Philipp Kainz, Martin Urschler, Samuel Schulter, Paul Wohlhart, Vincent Lepetit

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Training a Feedback Loop for Hand Pose Estimation.

Markus Oberweger, Paul Wohlhart, Vincent Lepetit

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Learning descriptors for object recognition and 3D pose estimation.

Paul Wohlhart, Vincent Lepetit

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Accurate Object Detection with Joint Classification-Regression Random Forests.

Samuel Schulter, Christian Leistner, Paul Wohlhart, Peter M. Roth, Horst Bischof

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Alternating Regression Forests for Object Detection and Pose Estimation.

Samuel Schulter, Christian Leistner, Paul Wohlhart, Peter M. Roth, Horst Bischof

Proceedings of the IEEE International Conference on Computer Vision, 2013

Joint Learning of Discriminative Prototypes and Large Margin Nearest Neighbor Classifiers.

Martin Köstinger, Paul Wohlhart, Peter M. Roth, Horst Bischof

Proceedings of the IEEE International Conference on Computer Vision, 2013

Optimizing 1-Nearest Prototype Classifiers.

Paul Wohlhart, Martin Köstinger, Michael Donoser, Peter M. Roth, Horst Bischof

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Alternating Decision Forests.

Samuel Schulter, Paul Wohlhart, Christian Leistner, Amir Saffari, Peter M. Roth, Horst Bischof

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Large scale metric learning from equivalence constraints.

Martin Köstinger, Martin Hirzer, Paul Wohlhart, Peter M. Roth, Horst Bischof

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Discriminative Hough Forests for Object Detection.

Paul Wohlhart, Samuel Schulter, Martin Köstinger, Peter M. Roth, Horst Bischof

Proceedings of the British Machine Vision Conference, 2012

Detecting Partially Occluded Objects with an Implicit Shape Model Random Field.

Paul Wohlhart, Michael Donoser, Peter M. Roth, Horst Bischof

Proceedings of the Computer Vision - ACCV 2012, 2012

2011

Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization.

Martin Köstinger, Paul Wohlhart, Peter M. Roth, Horst Bischof

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Multiple Instance Boosting for Face Recognition in Videos.

Paul Wohlhart, Martin Köstinger, Peter M. Roth, Horst Bischof

Proceedings of the Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31, 2011

Learning to recognize faces from videos and weakly related information cues.

Martin Köstinger, Paul Wohlhart, Peter M. Roth, Horst Bischof

Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011

2010

Automatic Detection and Reading of Dangerous Goods Plates.

Peter M. Roth, Martin Köstinger, Paul Wohlhart, Horst Bischof, Josef A. Birchbauer

Proceedings of the Seventh IEEE International Conference on Advanced Video and Signal Based Surveillance, 2010

2008

3D tracking in unknown environments using on-line keypoint learning for mobile augmented reality.

Gerhard Schall, Helmut Grabner, Michael Grabner, Paul Wohlhart, Dieter Schmalstieg, Horst Bischof

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008