activity
20152017
most citedCityPersons: A Diverse Dataset for Pedestrian Detection

67 citations · 112 across the 7 of their papers we have counts for

collaborators

15 papers

cs.CV2017

Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images

Tribhuvanesh Orekondy, Mario Fritz, Bernt Schiele

Images convey a broad spectrum of personal information. If such images are shared on social media platforms, this personal information is leaked which conflicts with the privacy of…

cs.CV20174 cited

Attentive Explanations: Justifying Decisions and Pointing to the Evidence (Extended Abstract)

Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata +4

Deep models are the defacto standard in visual decision problems due to their impressive performance on a wide array of visual tasks. On the other hand, their opaqueness has led to…

cs.CV2017

Learning Dilation Factors for Semantic Segmentation of Street Scenes

Yang He, Margret Keuper, Bernt Schiele +1

Contextual information is crucial for semantic segmentation. However, finding the optimal trade-off between keeping desired fine details and at the same time providing sufficiently…

cs.CV201736 cited

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-…

cs.CV2017

Pose Guided Person Image Generation

Liqian Ma, Xu Jia, Qianru Sun +3

This paper proposes the novel Pose Guided Person Generation Network (PG) that allows to synthesize person images in arbitrary poses, based on an image of that person and a nove…

cs.CV201767 cited

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…