26 citations · 50 across the 8 of their papers we have counts for
11 papers · 1 filter
NToP: NeRF-Powered Large-scale Dataset Generation for 2D and 3D Human Pose Estimation in Top-View Fisheye Images
Jingrui Yu, Dipankar Nandi, Roman Seidel +1
Human pose estimation (HPE) in the top-view using fisheye cameras presents a promising and innovative application domain. However, the availability of datasets capturing this viewp…
Applications of Deep Learning for Top-View Omnidirectional Imaging: A Survey
Jingrui Yu, Ana Cecilia Perez Grassi, Gangolf Hirtz
A large field-of-view fisheye camera allows for capturing a large area with minimal numbers of cameras when they are mounted on a high position facing downwards. This top-view omni…
Human Pose Estimation in Monocular Omnidirectional Top-View Images
Jingrui Yu, Tobias Scheck, Roman Seidel +3
Human pose estimation (HPE) with convolutional neural networks (CNNs) for indoor monitoring is one of the major challenges in computer vision. In contrast to HPE in perspective vie…
OmniPD: One-Step Person Detection in Top-View Omnidirectional Indoor Scenes
Jingrui Yu, Roman Seidel, Gangolf Hirtz
We propose a one-step person detector for topview omnidirectional indoor scenes based on convolutional neural networks (CNNs). While state of the art person detectors reach competi…
OmniFlow: Human Omnidirectional Optical Flow
Roman Seidel, André Apitzsch, Gangolf Hirtz
Optical flow is the motion of a pixel between at least two consecutive video frames and can be estimated through an end-to-end trainable convolutional neural network. To this end,…
Unsupervised Domain Adaptation from Synthetic to Real Images for Anchorless Object Detection
Tobias Scheck, Ana Perez Grassi, Gangolf Hirtz
Synthetic images are one of the most promising solutions to avoid high costs associated with generating annotated datasets to train supervised convolutional neural networks (CNN).…