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Aug 28, 2018
Computer Vision

How Robust is 3D Human Pose Estimation to Occlusion?

Occlusion is commonplace in realistic human-robot shared environments, yet its effects are not considered in standard 3D human pose estimation benchm…
Aug 28, 2018
Computer Vision

How Robust is 3D Human Pose Estimation to Occlusion?

Occlusion is commonplace in realistic human-robot shared environments, yet its effects are not considered in standard 3D human pose estimation benchm…
May 12, 2017
Computer Vision

Towards a Principled Integration of Multi-Camera Re-Identification an…

With the rise of end-to-end learning through deep learning, person detectors and re-identification (ReID) models have recently become very strong. Mu…
Nov 02, 2019
Computer Vision
Robotics

Single-Shot Panoptic Segmentation

We present a novel end-to-end single-shot method that segments countable object instances (things) as well as background regions (stuff) into a non-o…
May 31, 2017
Artificial Intelligence

The Atari Grand Challenge Dataset

Recent progress in Reinforcement Learning (RL), fueled by its combination, with Deep Learning has enabled impressive results in learning to interact …
Oct 02, 2018
Computer Vision

Know What Your Neighbors Do: 3D Semantic Segmentation of Point Clouds

In this paper, we present a deep learning architecture which addresses the problem of 3D semantic segmentation of unstructured point clouds. Compared…
Aug 28, 2018
Computer Vision

How Robust is 3D Human Pose Estimation to Occlusion?

Occlusion is commonplace in realistic human-robot shared environments, yet its effects are not considered in standard 3D human pose estimation benchm…
Oct 01, 2019
Computer Vision

Track to Reconstruct and Reconstruct to Track

Object tracking and reconstruction are often performed together, with tracking used as input for 3D reconstrution. However, the obtained 3D reconstru…
Feb 05, 2018
Computer Vision

Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds

Deep learning approaches have made tremendous progress in the field of semantic segmentation over the past few years. However, most current approache…
May 11, 2018
Computer Vision

Iteratively Trained Interactive Segmentation

Deep learning requires large amounts of training data to be effective. For the task of object segmentation, manually labeling data is very expensive,…
Sep 13, 2018
Computer Vision

Synthetic Occlusion Augmentation with Volumetric Heatmaps for the 201…

In this paper we present our winning entry at the 2018 ECCV PoseTrack Challenge on 3D human pose estimation. Using a fully-convolutional backbone arc…
Sep 19, 2018
Computer Vision

Combined Image- and World-Space Tracking in Traffic Scenes

Tracking in urban street scenes plays a central role in autonomous systems such as self-driving cars. Most of the current vision-based tracking metho…
Sep 19, 2018
Computer Vision

Towards Large-Scale Video Video Object Mining

We propose to leverage a generic object tracker in order to perform object mining in large-scale unlabeled videos, captured in a realistic automotive…
Jun 28, 2017
Computer Vision

Online Adaptation of Convolutional Neural Networks for Video Object …

We tackle the task of semi-supervised video object segmentation, i.e. segmenting the pixels belonging to an object in the video using the ground trut…
Sep 26, 2016
Robotics
Computer Vision

From Monocular SLAM to Autonomous Drone Exploration

Micro aerial vehicles (MAVs) are strongly limited in their payload and power capacity. In order to implement autonomous navigation, algorithms are th…
Dec 24, 2017
Conferences: CVPR
Computer Vision

Large-Scale Object Discovery and Detector Adaptation from Unlabeled …

We explore object discovery and detector adaptation based on unlabeled video sequences captured from a mobile platform. We propose a fully automatic …
Apr 26, 2018
Robotics
Computer Vision

Detection-Tracking for Efficient Person Analysis: The DetTA Pipeline

In the past decade many robots were deployed in the wild, and people detection and tracking is an important component of such deployments. On top of …
Jul 24, 2018
Computer Vision

PReMVOS: Proposal-generation, Refinement and Merging for Video Object…

We address semi-supervised video object segmentation, the task of automatically generating accurate and consistent pixel masks for objects in a video…
Dec 21, 2017
Conferences: ICRA
Computer Vision

Track, then Decide: Category-Agnostic Vision-based Multi-Object Track…

The most common paradigm for vision-based multi-object tracking is tracking-by-detection, due to the availability of reliable detectors for several i…
Jan 26, 2019
Computer Vision
Robotics

4D Generic Video Object Proposals

Many high-level video understanding methods require input in the form of object proposals. Currently, such proposals are predominantly generated with…
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