986 citations · 2.4k across the 21 of their papers we have counts for
5 papers · 1 filter
Person Recognition in Personal Photo Collections
Seong Joon Oh, Rodrigo Benenson, Mario Fritz +1
People nowadays share large parts of their personal lives through social media. Being able to automatically recognise people in personal photos may greatly enhance user convenience…
Learning non-maximum suppression
Jan Hosang, Rodrigo Benenson, Bernt Schiele
Object detectors have hugely profited from moving towards an end-to-end learning paradigm: proposals, features, and the classifier becoming one neural network improved results two-…
Lucid Data Dreaming for Video Object Segmentation
Anna Khoreva, Rodrigo Benenson, Eddy Ilg +2
Convolutional networks reach top quality in pixel-level video object segmentation but require a large amount of training data (1k~100k) to deliver such results. We propose a new tr…
CityPersons: A Diverse Dataset for Pedestrian Detection
Shanshan Zhang, Rodrigo Benenson, Bernt Schiele
Convnets have enabled significant progress in pedestrian detection recently, but there are still open questions regarding suitable architectures and training data. We revisit CNN d…
Exploiting saliency for object segmentation from image level labels
Seong Joon Oh, Rodrigo Benenson, Anna Khoreva +3
There have been remarkable improvements in the semantic labelling task in the recent years. However, the state of the art methods rely on large-scale pixel-level annotations. This…