2.9k citations · 6k across the 40 of their papers we have counts for
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Know What Your Neighbors Do: 3D Semantic Segmentation of Point Clouds
Francis Engelmann, Theodora Kontogianni, Jonas Schult +1
In this paper, we present a deep learning architecture which addresses the problem of 3D semantic segmentation of unstructured point clouds. Compared to previous work, we introduce…
Combined Image- and World-Space Tracking in Traffic Scenes
Aljosa Osep, Wolfgang Mehner, Markus Mathias +1
Tracking in urban street scenes plays a central role in autonomous systems such as self-driving cars. Most of the current vision-based tracking methods perform tracking in the imag…
Towards Large-Scale Video Video Object Mining
Aljosa Osep, Paul Voigtlaender, Jonathon Luiten +2
We propose to leverage a generic object tracker in order to perform object mining in large-scale unlabeled videos, captured in a realistic automotive setting. We present a dataset…
Synthetic Occlusion Augmentation with Volumetric Heatmaps for the 2018 ECCV PoseTrack Challenge on 3D Human Pose Estimation
István Sárándi, Timm Linder, Kai O. Arras +1
In this paper we present our winning entry at the 2018 ECCV PoseTrack Challenge on 3D human pose estimation. Using a fully-convolutional backbone architecture, we obtain volumetric…
How Robust is 3D Human Pose Estimation to Occlusion?
István Sárándi, Timm Linder, Kai O. Arras +1
Occlusion is commonplace in realistic human-robot shared environments, yet its effects are not considered in standard 3D human pose estimation benchmarks. This leaves the question…
PReMVOS: Proposal-generation, Refinement and Merging for Video Object Segmentation
Jonathon Luiten, Paul Voigtlaender, Bastian Leibe
We address semi-supervised video object segmentation, the task of automatically generating accurate and consistent pixel masks for objects in a video sequence, given the first-fram…