88 citations · 100 across the 3 of their papers we have counts for
4 papers
Teaching Compositionality to CNNs
Austin Stone, Huayan Wang, Michael Stark +3
Convolutional neural networks (CNNs) have shown great success in computer vision, approaching human-level performance when trained for specific tasks via application-specific loss…
3D Object Class Detection in the Wild
Bojan Pepik, Michael Stark, Peter Gehler +2
Object class detection has been a synonym for 2D bounding box localization for the longest time, fueled by the success of powerful statistical learning techniques, combined with ro…
Towards Scene Understanding with Detailed 3D Object Representations
M. Zeeshan Zia, Michael Stark, Konrad Schindler
Current approaches to semantic image and scene understanding typically employ rather simple object representations such as 2D or 3D bounding boxes. While such coarse models are rob…
Multi-View Priors for Learning Detectors from Sparse Viewpoint Data
Bojan Pepik, Michael Stark, Peter Gehler +1
While the majority of today's object class models provide only 2D bounding boxes, far richer output hypotheses are desirable including viewpoint, fine-grained category, and 3D geom…