21 citations · 33 across the 3 of their papers we have counts for
3 papers
What is Holding Back Convnets for Detection?
Bojan Pepik, Rodrigo Benenson, Tobias Ritschel +1
Convolutional neural networks have recently shown excellent results in general object detection and many other tasks. Albeit very effective, they involve many user-defined design c…
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…
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…