University of Bonn

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University of Bonn is a public research institution that offers undergraduate, postgraduate and doctoral programs in Germany.

Utilizing Temporal Information in Deep Convolutional Network for Efficient Soccer Ball Detection and Tracking

Soccer ball detection is identified as one of the critical challenges in...
09/05/2019 ∙ by Anna Kukleva, et al. ∙ 47 ∙ share

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Bonn Activity Maps: Dataset Description

The key prerequisite for accessing the huge potential of current machine...
12/13/2019 ∙ by Julian Tanke, et al. ∙ 28 ∙ share

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Weakly Supervised Action Segmentation Using Mutual Consistency

Action segmentation is the task of predicting the actions in each frame ...
04/05/2019 ∙ by Yaser Souri, et al. ∙ 26 ∙ share

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Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks

To verify and validate networks, it is essential to gain insight into th...
08/07/2019 ∙ by Jörg Wagner, et al. ∙ 26 ∙ share

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RGB-D Object Detection and Semantic Segmentation for Autonomous Manipulation in Clutter

Autonomous robotic manipulation in clutter is challenging. A large varie...
10/01/2018 ∙ by Max Schwarz, et al. ∙ 20 ∙ share

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Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition

Knowledge Graph (KG) embedding has attracted more attention in recent ye...
11/18/2019 ∙ by Chengjin Xu, et al. ∙ 18 ∙ share

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Discovering Latent Classes for Semi-Supervised Semantic Segmentation

High annotation costs are a major bottleneck for the training of semanti...
12/30/2019 ∙ by Johann Sawatzky, et al. ∙ 15 ∙ share

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Deep Non-Line-of-Sight Reconstruction

The recent years have seen a surge of interest in methods for imaging be...
01/24/2020 ∙ by Javier Grau Chopite, et al. ∙ 14 ∙ share

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ConvPoseCNN: Dense Convolutional 6D Object Pose Estimation

6D object pose estimation is a prerequisite for many applications. In re...
12/16/2019 ∙ by Catherine Capellen, et al. ∙ 10 ∙ share

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A Calibration Scheme for Non-Line-of-Sight Imaging Setups

The recent years have given rise to a large number of techniques for "lo...
12/20/2019 ∙ by Jonathan Klein, et al. ∙ 9 ∙ share

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An Adaptive Approach for Automated Grapevine Phenotyping using VGG-based Convolutional Neural Networks

In (grapevine) breeding programs and research, periodic phenotyping and ...
11/23/2018 ∙ by Jonatan Grimm, et al. ∙ 8 ∙ share

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Detection of Single Grapevine Berries in Images Using Fully Convolutional Neural Networks

Yield estimation and forecasting are of special interest in the field of...
05/01/2019 ∙ by Laura Zabawa, et al. ∙ 8 ∙ share

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SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation

Temporal action segmentation is a topic of increasing interest, however,...
03/31/2020 ∙ by Mohsen Fayyaz, et al. ∙ 7 ∙ share

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Zero-Shot Anticipation for Instructional Activities

How can we teach a robot to predict what will happen next for an activit...
12/06/2018 ∙ by Fadime Sener, et al. ∙ 6 ∙ share

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MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation

Temporally locating and classifying action segments in long untrimmed vi...
03/05/2019 ∙ by Yazan Abu Farha, et al. ∙ 6 ∙ share

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Visual Descriptor Learning from Monocular Video

Correspondence estimation is one of the most widely researched and yet o...
04/15/2020 ∙ by Umashankar Deekshith, et al. ∙ 5 ∙ share

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Semi-Supervised Semantic Mapping through Label Propagation with Semantic Texture Meshes

Scene understanding is an important capability for robots acting in unst...
06/17/2019 ∙ by Radu Alexandru Rosu, et al. ∙ 4 ∙ share

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Efficient identification, localization and quantification of grapevine inflorescences in unprepared field images using Fully Convolutional Networks

Yield and its prediction is one of the most important tasks in grapevine...
07/10/2018 ∙ by Robert Rudolph, et al. ∙ 2 ∙ share

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Automated Phenotyping of Epicuticular Waxes of Grapevine Berries Using Light Separation and Convolutional Neural Networks

In viticulture the epicuticular wax as the outer layer of the berry skin...
07/19/2018 ∙ by Pierre Barré, et al. ∙ 2 ∙ share

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Open Set Domain Adaptation for Image and Action Recognition

Since annotating and curating large datasets is very expensive, there is...
07/30/2019 ∙ by Pau Panareda Busto, et al. ∙ 1 ∙ share

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Directional TSDF: Modeling Surface Orientation for Coherent Meshes

Real-time 3D reconstruction from RGB-D sensor data plays an important ro...
08/14/2019 ∙ by Malte Splietker, et al. ∙ 1 ∙ share

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Utilizing Temporal Information in DeepConvolutional Network for Efficient Soccer BallDetection and Tracking

Soccer ball detection is identified as one of the critical challenges in...
09/05/2019 ∙ by Anna Kukleva, et al. ∙ 1 ∙ share

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Mandolin: A Knowledge Discovery Framework for the Web of Data

Markov Logic Networks join probabilistic modeling with first-order logic...
11/03/2017 ∙ by Tommaso Soru, et al. ∙ 0 ∙ share

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Temporal 3D ConvNets: New Architecture and Transfer Learning for Video Classification

The work in this paper is driven by the question how to exploit the temp...
11/22/2017 ∙ by Ali Diba, et al. ∙ 0 ∙ share

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Deep Self-taught Learning for Remote Sensing Image Classification

This paper addresses the land cover classification task for remote sensi...
10/19/2017 ∙ by Anika Bettge, et al. ∙ 0 ∙ share

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On the regularization of Wasserstein GANs

Since their invention, generative adversarial networks (GANs) have becom...
09/26/2017 ∙ by Henning Petzka, et al. ∙ 0 ∙ share

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Adaptive Binarization for Weakly Supervised Affordance Segmentation

The concept of affordance is important to understand the relevance of ob...
07/10/2017 ∙ by Johann Sawatzky, et al. ∙ 0 ∙ share

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Recurrent Residual Learning for Action Recognition

Action recognition is a fundamental problem in computer vision with a lo...
06/27/2017 ∙ by Ahsan Iqbal, et al. ∙ 0 ∙ share

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Temporal Action Labeling using Action Sets

Action detection and temporal segmentation of actions in videos are topi...
06/02/2017 ∙ by Alexander Richard, et al. ∙ 0 ∙ share

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A Dual-Source Approach for 3D Human Pose Estimation from a Single Image

In this work we address the challenging problem of 3D human pose estimat...
05/08/2017 ∙ by Umar Iqbal, et al. ∙ 0 ∙ share

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DRAW: Deep networks for Recognizing styles of Artists Who illustrate children's books

This paper is motivated from a young boy's capability to recognize an il...
04/10/2017 ∙ by Samet Hicsonmez, et al. ∙ 0 ∙ share

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Capturing Hand Motion with an RGB-D Sensor, Fusing a Generative Model with Salient Points

Hand motion capture has been an active research topic in recent years, f...
04/03/2017 ∙ by Dimitrios Tzionas, et al. ∙ 0 ∙ share

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A Comparison of Directional Distances for Hand Pose Estimation

Benchmarking methods for 3d hand tracking is still an open problem due t...
04/03/2017 ∙ by Dimitrios Tzionas, et al. ∙ 0 ∙ share

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Weakly Supervised Action Learning with RNN based Fine-to-coarse Modeling

We present an approach for weakly supervised learning of human actions. ...
03/23/2017 ∙ by Alexander Richard, et al. ∙ 0 ∙ share

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A Bag-of-Words Equivalent Recurrent Neural Network for Action Recognition

The traditional bag-of-words approach has found a wide range of applicat...
03/23/2017 ∙ by Alexander Richard, et al. ∙ 0 ∙ share

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Git4Voc: Git-based Versioning for Collaborative Vocabulary Development

Collaborative vocabulary development in the context of data integration ...
01/11/2016 ∙ by Lavdim Halilaj, et al. ∙ 0 ∙ share

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The Search Problem in Mixture Models

We consider the task of learning the parameters of a single component o...
10/04/2016 ∙ by Avik Ray, et al. ∙ 0 ∙ share

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Detection of Human Rights Violations in Images: Can Convolutional Neural Networks help?

After setting the performance benchmarks for image, video, speech and au...
03/12/2017 ∙ by Grigorios Kalliatakis, et al. ∙ 0 ∙ share

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Evaluating Deep Convolutional Neural Networks for Material Classification

Determining the material category of a surface from an image is a demand...
03/12/2017 ∙ by Grigorios Kalliatakis, et al. ∙ 0 ∙ share

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Training Deep Networks with Structured Layers by Matrix Backpropagation

Deep neural network architectures have recently produced excellent resul...
09/25/2015 ∙ by Catalin Ionescu, et al. ∙ 0 ∙ share

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Automated Image Analysis Framework for the High-Throughput Determination of Grapevine Berry Sizes Using Conditional Random Fields

The berry size is one of the most important fruit traits in grapevine br...
12/15/2017 ∙ by Ribana Roscher, et al. ∙ 0 ∙ share

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A New Rational Algorithm for View Updating in Relational Databases

The dynamics of belief and knowledge is one of the major components of a...
07/13/2014 ∙ by Radhakrishnan Delhibabu, et al. ∙ 0 ∙ share

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Multi-Scale Anisotropic Fourth-Order Diffusion Improves Ridge and Valley Localization

Ridge and valley enhancing filters are widely used in applications such ...
11/21/2016 ∙ by Shekoufeh Gorgi Zadeh, et al. ∙ 0 ∙ share

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Reconstructing Articulated Rigged Models from RGB-D Videos

Although commercial and open-source software exist to reconstruct a stat...
09/06/2016 ∙ by Dimitrios Tzionas, et al. ∙ 0 ∙ share

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Multi-Person Pose Estimation with Local Joint-to-Person Associations

Despite of the recent success of neural networks for human pose estimati...
08/30/2016 ∙ by Umar Iqbal, et al. ∙ 0 ∙ share

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A Two-Streamed Network for Estimating Fine-Scaled Depth Maps from Single RGB Images

Estimating depth from a single RGB image is an ill-posed and inherently ...
07/04/2016 ∙ by Jun Li, et al. ∙ 0 ∙ share

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Optically lightweight tracking of objects around a corner

The observation of objects located in inaccessible regions is a recurrin...
06/03/2016 ∙ by Jonathan Klein, et al. ∙ 0 ∙ share

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Direction matters: hand pose estimation from local surface normals

We present a hierarchical regression framework for estimating hand joint...
04/10/2016 ∙ by Chengde Wan, et al. ∙ 0 ∙ share

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Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature

We propose a novel sampling framework for inference in probabilistic mod...
11/03/2014 ∙ by Tom Gunter, et al. ∙ 0 ∙ share

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Pose for Action - Action for Pose

In this work we propose to utilize information about human actions to im...
03/13/2016 ∙ by Umar Iqbal, et al. ∙ 0 ∙ share

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