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 (CVPR Workshops, 2008)

Automatic Detection and Reading of Dangerous Goods Plates. - Peter M. Roth; Martin Köstinger; Paul Wohlhart; Horst Bischof; Josef A. Birchbauer (AVSS, 2010)

Learning to recognize faces from videos and weakly related information cues. - Martin Köstinger; Paul Wohlhart; Peter M. Roth; Horst Bischof (AVSS, 2011)

Multiple Instance Boosting for Face Recognition in Videos. - Paul Wohlhart; Martin Köstinger; Peter M. Roth; Horst Bischof (DAGM-Symposium, 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 (ICCV Workshops, 2011)

Detecting Partially Occluded Objects with an Implicit Shape Model Random Field. - Paul Wohlhart; Michael Donoser; Peter M. Roth; Horst Bischof (ACCV (1), 2012)

Discriminative Hough Forests for Object Detection. - Paul Wohlhart; Samuel Schulter; Martin Köstinger; Peter M. Roth; Horst Bischof (BMVC, 2012)

Large scale metric learning from equivalence constraints. - Martin Köstinger; Martin Hirzer; Paul Wohlhart; Peter M. Roth; Horst Bischof (CVPR, 2012)

Alternating Decision Forests. - Samuel Schulter; Paul Wohlhart; Christian Leistner; Amir Saffari; Peter M. Roth; Horst Bischof (CVPR, 2013)

Optimizing 1-Nearest Prototype Classifiers. - Paul Wohlhart; Martin Köstinger; Michael Donoser; Peter M. Roth; Horst Bischof (CVPR, 2013)

Joint Learning of Discriminative Prototypes and Large Margin Nearest Neighbor Classifiers. - Martin Köstinger; Paul Wohlhart; Peter M. Roth; Horst Bischof (ICCV, 2013)

Alternating Regression Forests for Object Detection and Pose Estimation. - Samuel Schulter; Christian Leistner; Paul Wohlhart; Peter M. Roth; Horst Bischof (ICCV, 2013)

Accurate Object Detection with Joint Classification-Regression Random Forests. - Samuel Schulter; Christian Leistner; Paul Wohlhart; Peter M. Roth; Horst Bischof (CVPR, 2014)

Learning descriptors for object recognition and 3D pose estimation. - Paul Wohlhart; Vincent Lepetit (CVPR, 2015)

Training a Feedback Loop for Hand Pose Estimation. - Markus Oberweger; Paul Wohlhart; Vincent Lepetit (ICCV, 2015)

You Should Use Regression to Detect Cells. - Philipp Kainz; Martin Urschler; Samuel Schulter; Paul Wohlhart; Vincent Lepetit (MICCAI (3), 2015)

Hands Deep in Deep Learning for Hand Pose Estimation. - Markus Oberweger; Paul Wohlhart; Vincent Lepetit (CoRR, 2015)

Efficiently Creating 3D Training Data for Fine Hand Pose Estimation. - Markus Oberweger; Gernot Riegler; Paul Wohlhart; Vincent Lepetit (CVPR, 2016)

On Pre-trained Image Features and Synthetic Images for Deep Learning. - Stefan Hinterstoisser; Vincent Lepetit; Paul Wohlhart; Kurt Konolige (ECCV Workshops (1), 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 (ICRA, 2018)

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 (CVPR, 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)

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 (ICLR, 2020)

Generalized Feedback Loop for Joint Hand-Object Pose Estimation. - Markus Oberweger; Paul Wohlhart; Vincent Lepetit (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

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 006 (CoRL, 2022)

Open-World Object Manipulation using Pre-Trained Vision-Language Models. - Austin Stone; Ted Xiao; Yao Lu 006; Keerthana Gopalakrishnan; Kuang-Huei Lee; Quan Vuong; Paul Wohlhart; Sean Kirmani; Brianna Zitkovich; Fei Xia 002; Chelsea Finn; Karol Hausman (CoRL, 2023)

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control. - Brianna Zitkovich; Tianhe Yu; Sichun Xu; Peng Xu 010; Ted Xiao; Fei Xia 002; Jialin Wu; Paul Wohlhart; Stefan Welker; Ayzaan Wahid; Quan Vuong; Vincent Vanhoucke; et al. (CoRL, 2023)

Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators. - Alexander Herzog; Kanishka Rao; Karol Hausman; Yao Lu 006; Paul Wohlhart; Mengyuan Yan; Jessica Lin; Montserrat Gonzalez Arenas; Ted Xiao; Daniel Kappler; Daniel Ho; Jarek Rettinghouse; et al. (Robotics: Science and Systems, 2023)

Open-World Object Manipulation using Pre-trained Vision-Language Models. - Austin Stone; Ted Xiao; Yao Lu 006; Keerthana Gopalakrishnan; Kuang-Huei Lee; Quan Vuong; Paul Wohlhart; Brianna Zitkovich; Fei Xia 002; 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 006; Paul Wohlhart; Mengyuan Yan; Jessica Lin; Montserrat Gonzalez Arenas; Ted Xiao; Daniel Kappler; Daniel Ho; Jarek Rettinghouse; et al. (CoRR, 2023)

RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches. - Jiayuan Gu; Sean Kirmani; Paul Wohlhart; Yao Lu 006; Montserrat Gonzalez Arenas; Kanishka Rao; Wenhao Yu 003; Chuyuan Fu; Keerthana Gopalakrishnan; Zhuo Xu; Priya Sundaresan; Peng Xu 010; et al. (ICLR, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)