Paul Wohlhart

发表

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

Sergey Levine, Raia Hadsell, Mrinal Kalakrishnan, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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

Sergey Levine, Kurt Konolige, Mrinal Kalakrishnan, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

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

Horst Bischof, Peter M. Roth, Martin Köstinger, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

On Pre-Trained Image Features and Synthetic Images for Deep Learning pdf

Vincent Lepetit, Stefan Hinterstoißer, Kurt Konolige, 2017, ECCV Workshops.

Learning descriptors for object recognition and 3D pose estimation

Vincent Lepetit, Paul Wohlhart, Paul Wohlhart, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Alternating Decision Forests

Horst Bischof, Peter M. Roth, Christian Leistner, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Alternating Regression Forests for Object Detection and Pose Estimation

Horst Bischof, Peter M. Roth, Christian Leistner, 2013, 2013 IEEE International Conference on Computer Vision.

Automatic Detection and Reading of Dangerous Goods Plates

Horst Bischof, Peter M. Roth, Martin Köstinger, 2010, 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance.

Detecting Partially Occluded Objects with an Implicit Shape Model Random Field

Horst Bischof, Michael Donoser, Peter M. Roth, 2012, ACCV.

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

Dieter Schmalstieg, Horst Bischof, Helmut Grabner, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Training a Feedback Loop for Hand Pose Estimation

Vincent Lepetit, Paul Wohlhart, Markus Oberweger, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Large scale metric learning from equivalence constraints

Horst Bischof, Peter M. Roth, Martin Köstinger, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Master ’ s Thesis Tracking on-line learned Natural Features for Mobile Augmented Reality

Paul Wohlhart, 2009 .

Pattern Recognition Society 3 D Camera Tracking in Unknown Environments by On-line Keypoint Learning

Paul Wohlhart, H. Bischof, P. Roth, 2010 .

3D Tracking Using On-line Keypoint Learning for Mobile Augmented Reality

Dieter Schmalstieg, Horst Bischof, Helmut Grabner, 2008, CVPR 2008.

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

Ian S. Fischer, Paul Wohlhart, Adrian Li, 2022, ArXiv.

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

Karol Hausman, Chelsea Finn, Paul Wohlhart, 2023, ArXiv.

Generalized Feedback Loop for Joint Hand-Object Pose Estimation

Vincent Lepetit, Paul Wohlhart, Markus Oberweger, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Accurate Object Detection with Joint Classification-Regression Random Forests

Horst Bischof, Peter M. Roth, Christian Leistner, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

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

Sergey Levine, Chelsea Finn, Daniel Kappler, 2019, ICLR.

Efficiently Creating 3D Training Data for Fine Hand Pose Estimation

Vincent Lepetit, Gernot Riegler, Paul Wohlhart, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Hands Deep in Deep Learning for Hand Pose Estimation pdf

Vincent Lepetit, Paul Wohlhart, Markus Oberweger, 2015, ArXiv.

Optimizing 1-Nearest Prototype Classifiers

Horst Bischof, Michael Donoser, Peter M. Roth, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

You Should Use Regression to Detect Cells

Vincent Lepetit, Martin Urschler, Paul Wohlhart, 2015, MICCAI.

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

Pannag R. Sanketi, Peter R. Florence, Montse Gonzalez Arenas, 2023, CoRL.

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

Montse Gonzalez Arenas, S. Levine, P. Pastor, 2023, Robotics: Science and Systems.

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Pannag R. Sanketi, Norman Di Palo, Lawrence Yunliang Chen, 2023, ArXiv.

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Pannag R. Sanketi, Norman Di Palo, Lawrence Yunliang Chen, 2023 .

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Pannag R. Sanketi, Norman Di Palo, Lawrence Yunliang Chen, 2023 .

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

Karol Hausman, Chelsea Finn, Paul Wohlhart, 2023, CoRL.

RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches

Montse Gonzalez Arenas, Karol Hausman, Paul Wohlhart, 2023, ArXiv.