665 citations · 990 across the 48 of their papers we have counts for
6 papers · 1 filter
Natural Language Guided Visual Relationship Detection
Wentong Liao, Lin Shuai, Bodo Rosenhahn +1
Reasoning about the relationships between object pairs in images is a crucial task for holistic scene understanding. Most of the existing works treat this task as a pure visual cla…
Towards Automated Cadastral Boundary Delineation from UAV Data
Sophie Crommelinck, Michael Ying Yang, Mila Koeva +3
Unmanned aerial vehicles (UAV) are evolving as an alternative tool to acquire land tenure data. UAVs can capture geospatial data at high quality and resolution in a cost-effective,…
Object Recognition from very few Training Examples for Enhancing Bicycle Maps
Christoph Reinders, Hanno Ackermann, Michael Ying Yang +1
In recent years, data-driven methods have shown great success for extracting information about the infrastructure in urban areas. These algorithms are usually trained on large data…
Deep Learning for Vanishing Point Detection Using an Inverse Gnomonic Projection
Florian Kluger, Hanno Ackermann, Michael Ying Yang +1
We present a novel approach for vanishing point detection from uncalibrated monocular images. In contrast to state-of-the-art, we make no a priori assumptions about the observed sc…
Analyzing Modular CNN Architectures for Joint Depth Prediction and Semantic Segmentation
Omid Hosseini Jafari, Oliver Groth, Alexander Kirillov +2
This paper addresses the task of designing a modular neural network architecture that jointly solves different tasks. As an example we use the tasks of depth estimation and semanti…
Motion Segmentation via Global and Local Sparse Subspace Optimization
Michael Ying Yang, Hanno Ackermann, Weiyao Lin +2
In this paper, we propose a new framework for segmenting feature-based moving objects under affine subspace model. Since the feature trajectories in practice are high-dimensional a…