Stark, Michael

22 publications

CoRL 2024 RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches Priya Sundaresan, Quan Vuong, Jiayuan Gu, Peng Xu, Ted Xiao, Sean Kirmani, Tianhe Yu, Michael Stark, Ajinkya Jain, Karol Hausman, Dorsa Sadigh, Jeannette Bohg, Stefan Schaal

CVPR 2024 Towards Co-Evaluation of Cameras HDR and Algorithms for Industrial-Grade 6DoF Pose Estimation Agastya Kalra, Guy Stoppi, Dmitrii Marin, Vage Taamazyan, Aarrushi Shandilya, Rishav Agarwal, Anton Boykov, Tze Hao Chong, Michael Stark

AAAI 2018 Behavior Is Everything: Towards Representing Concepts with Sensorimotor Contingencies Nicholas Hay, Michael Stark, Alexander Schlegel, Carter Wendelken, Dennis Park, Eric Purdy, Tom Silver, D. Scott Phoenix, Dileep George

CVPR 2017 Teaching Compositionality to CNNs Austin Stone, Huayan Wang, Michael Stark, Yi Liu, D. Scott Phoenix, Dileep George

CVPRW 2015 3D Object Class Detection in the Wild Bojan Pepik, Michael Stark, Peter V. Gehler, Tobias Ritschel, Bernt Schiele

CVPR 2015 Enriching Object Detection with 2D-3D Registration and Continuous Viewpoint Estimation Christopher Bongsoo Choy, Michael Stark, Sam Corbett-Davies, Silvio Savarese

CVPR 2015 Image Retrieval Using Scene Graphs Justin Johnson, Ranjay Krishna, Michael Stark, Li-Jia Li, David Shamma, Michael Bernstein, Li Fei-Fei

CVPR 2014 Are Cars Just 3D Boxes? - Jointly Estimating the 3D Shape of Multiple Objects Muhammad Zeeshan Zia, Michael Stark, Konrad Schindler

ICLR 2014 Multi-View Priors for Learning Detectors from Sparse Viewpoint Data Bojan Pepik, Michael Stark, Peter V. Gehler, Bernt Schiele

ICCVW 2013 3D Object Representations for Fine-Grained Categorization Jonathan Krause, Michael Stark, Jia Deng, Li Fei-Fei

CVPR 2013 Explicit Occlusion Modeling for 3D Object Class Representations M. Zeeshan Zia, Michael Stark, Konrad Schindler

CVPR 2013 Occlusion Patterns for Object Class Detection Bojan Pepikj, Michael Stark, Peter Gehler, Bernt Schiele

ECCV 2012 3D2PM - 3D Deformable Part Models Bojan Pepik, Peter V. Gehler, Michael Stark, Bernt Schiele

CVPR 2012 Teaching 3D Geometry to Deformable Part Models Bojan Pepik, Michael Stark, Peter V. Gehler, Bernt Schiele

ECCV 2012 What Makes a Good Detector? - Structured Priors for Learning from Few Examples Tianshi Gao, Michael Stark, Daphne Koller

CVPR 2011 Evaluating Knowledge Transfer and Zero-Shot Learning in a Large-Scale Setting Marcus Rohrbach, Michael Stark, Bernt Schiele

ECCV 2010 Combining Language Sources and Robust Semantic Relatedness for Attribute-Based Knowledge Transfer Marcus Rohrbach, Michael Stark, György Szarvas, Bernt Schiele

ECCVW 2010 Combining Language Sources and Robust Semantic Relatedness for Attribute-Based Knowledge Transfer Marcus Rohrbach, Michael Stark, György Szarvas, Bernt Schiele

CVPR 2010 What Helps Where - And Why? Semantic Relatedness for Knowledge Transfer Marcus Rohrbach, Michael Stark, György Szarvas, Iryna Gurevych, Bernt Schiele

ICCV 2009 A Shape-Based Object Class Model for Knowledge Transfer Michael Stark, Michael Goesele, Bernt Schiele

ICCVW 2009 Shading Cues for Object Class Detection Michael Stark, Michael Goesele, Bernt Schiele

ICCV 2007 How Good Are Local Features for Classes of Geometric Objects Michael Stark, Bernt Schiele