8 citations · 11 across the 3 of their papers we have counts for
6 papers
SkyScapes -- Fine-Grained Semantic Understanding of Aerial Scenes
Seyed Majid Azimi, Corentin Henry, Lars Sommer +2
Understanding the complex urban infrastructure with centimeter-level accuracy is essential for many applications from autonomous driving to mapping, infrastructure monitoring, and…
Human Pose Estimation for Real-World Crowded Scenarios
Thomas Golda, Tobias Kalb, Arne Schumann +1
Human pose estimation has recently made significant progress with the adoption of deep convolutional neural networks. Its many applications have attracted tremendous interest in re…
A Systematic Evaluation of Recent Deep Learning Architectures for Fine-Grained Vehicle Classification
Krassimir Valev, Arne Schumann, Lars Sommer +1
Fine-grained vehicle classification is the task of classifying make, model, and year of a vehicle. This is a very challenging task, because vehicles of different types but similar…
A Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-Ranking
M. Saquib Sarfraz, Arne Schumann, Andreas Eberle +1
Person re identification is a challenging retrieval task that requires matching a person's acquired image across non overlapping camera views. In this paper we propose an effective…
Deep View-Sensitive Pedestrian Attribute Inference in an end-to-end Model
M. Saquib Sarfraz, Arne Schumann, Yan Wang +1
Pedestrian attribute inference is a demanding problem in visual surveillance that can facilitate person retrieval, search and indexing. To exploit semantic relations between attrib…
Deep Learning Prototype Domains for Person Re-Identification
Arne Schumann, Shaogang Gong, Tobias Schuchert
Person re-identification (re-id) is the task of matching multiple occurrences of the same person from different cameras, poses, lighting conditions, and a multitude of other factor…