Home      Library      Discussions      About
Join us

@vision.rwth

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…
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 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 3D reconstruction are often performed together, with tracking used as input for reconstruction. However, the obtained reconstruct…
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…
Mar 18, 2020
Computer Vision
Machine Learning
Image and Video Processing

STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Vid…

Existing methods for instance segmentation in videos typically involve multi-stage pipelines that follow the tracking-by-detection paradigm and model…
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 …
Jul 28, 2019
Computer Vision

Dilated Point Convolutions: On the Receptive Field of Point Convoluti…

In this work, we propose Dilated Point Convolutions (DPC) which drastically increase the receptive field of convolutions on 3D point clouds. As we sh…
There aren't more papers

Request Comment

or Invite via email
You are asking your first question!
How to quickly get a good answer:
  • Keep your question short and to the point
  • Check for grammar or spelling errors.
  • Phrase it like a question
Test
Test description