University of Bonn

research

∙ 09/05/2019

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...

Anna Kukleva, et al. ∙

research

∙ 03/17/2022

Video Prediction at Multiple Scales with Hierarchical Recurrent Networks

Autonomous systems not only need to understand their current environment...

Ani Karapetyan, et al. ∙

research

∙ 12/13/2019

Bonn Activity Maps: Dataset Description

The key prerequisite for accessing the huge potential of current machine...

Julian Tanke, et al. ∙

research

∙ 04/05/2019

Weakly Supervised Action Segmentation Using Mutual Consistency

Action segmentation is the task of predicting the actions in each frame ...

Yaser Souri, et al. ∙

research

∙ 08/07/2019

Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks

To verify and validate networks, it is essential to gain insight into th...

Jörg Wagner, et al. ∙

research

∙ 03/17/2022

RoMe: A Robust Metric for Evaluating Natural Language Generation

Evaluating Natural Language Generation (NLG) systems is a challenging ta...

Md Rashad Al Hasan Rony, et al. ∙

research

∙ 06/06/2021

Technical Report: Temporal Aggregate Representations

This technical report extends our work presented in [9] with more experi...

Fadime Sener, et al. ∙

research

∙ 10/01/2018

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

Autonomous robotic manipulation in clutter is challenging. A large varie...

Max Schwarz, et al. ∙

research

∙ 05/10/2021

Learning Weakly Convex Sets in Metric Spaces

We introduce the notion of weak convexity in metric spaces, a generaliza...

Eike Stadtländer, et al. ∙

research

∙ 04/22/2022

Transfer Learning from Synthetic In-vitro Soybean Pods Dataset for In-situ Segmentation of On-branch Soybean Pod

The mature soybean plants are of complex architecture with pods frequent...

Si Yang, et al. ∙

research

∙ 04/01/2022

GrowliFlower: An image time series dataset for GROWth analysis of cauLIFLOWER

This article presents GrowliFlower, a georeferenced, image-based UAV tim...

Jana Kierdorf, et al. ∙

research

∙ 11/18/2019

Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition

Knowledge Graph (KG) embedding has attracted more attention in recent ye...

Chengjin Xu, et al. ∙

research

∙ 04/19/2022

DialoKG: Knowledge-Structure Aware Task-Oriented Dialogue Generation

Task-oriented dialogue generation is challenging since the underlying kn...

Md Rashad Al Hasan Rony, et al. ∙

research

∙ 10/07/2021

Unsupervised Image Decomposition with Phase-Correlation Networks

The ability to decompose scenes into their object components is a desire...

Angel Villar-Corrales, et al. ∙

research

∙ 12/30/2019

Discovering Latent Classes for Semi-Supervised Semantic Segmentation

High annotation costs are a major bottleneck for the training of semanti...

Johann Sawatzky, et al. ∙

research

∙ 01/24/2020

Deep Non-Line-of-Sight Reconstruction

The recent years have seen a surge of interest in methods for imaging be...

Javier Grau Chopite, et al. ∙

research

∙ 09/15/2021

Spline-PINN: Approaching PDEs without Data using Fast, Physics-Informed Hermite-Spline CNNs

Partial Differential Equations (PDEs) are notoriously difficult to solve...

Nils Wandel, et al. ∙

research

∙ 12/16/2019

ConvPoseCNN: Dense Convolutional 6D Object Pose Estimation

6D object pose estimation is a prerequisite for many applications. In re...

Catherine Capellen, et al. ∙

research

∙ 12/20/2019

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

The recent years have given rise to a large number of techniques for "lo...

Jonathan Klein, et al. ∙

research

∙ 08/18/2021

Rendering and Tracking the Directional TSDF: Modeling Surface Orientation for Coherent Maps

Dense real-time tracking and mapping from RGB-D images is an important t...

Malte Splietker, et al. ∙

research

∙ 11/23/2018

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

In (grapevine) breeding programs and research, periodic phenotyping and ...

Jonatan Grimm, et al. ∙

research

∙ 05/01/2019

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

Yield estimation and forecasting are of special interest in the field of...

Laura Zabawa, et al. ∙

research

∙ 03/31/2020

SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation

Temporal action segmentation is a topic of increasing interest, however,...

Mohsen Fayyaz, et al. ∙

research

∙ 08/09/2021

FIFA: Fast Inference Approximation for Action Segmentation

We introduce FIFA, a fast approximate inference method for action segmen...

Yaser Souri, et al. ∙

research

∙ 12/06/2018

Zero-Shot Anticipation for Instructional Activities

How can we teach a robot to predict what will happen next for an activit...

Fadime Sener, et al. ∙

research

∙ 03/05/2019

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

Temporally locating and classifying action segments in long untrimmed vi...

Yazan Abu Farha, et al. ∙

research

∙ 07/05/2021

6D Object Pose Estimation using Keypoints and Part Affinity Fields

The task of 6D object pose estimation from RGB images is an important re...

Moritz Zappel, et al. ∙

research

∙ 07/06/2021

Real-time Pose Estimation from Images for Multiple Humanoid Robots

Pose estimation commonly refers to computer vision methods that recogniz...

Arash Amini, et al. ∙

research

∙ 04/15/2020

Visual Descriptor Learning from Monocular Video

Correspondence estimation is one of the most widely researched and yet o...

Umashankar Deekshith, et al. ∙

research

∙ 06/06/2021

Transformed ROIs for Capturing Visual Transformations in Videos

Modeling the visual changes that an action brings to a scene is critical...

Abhinav Rai, et al. ∙

research

∙ 05/02/2022

Incomplete Gamma Kernels: Generalizing Locally Optimal Projection Operators

We present incomplete gamma kernels, a generalization of Locally Optimal...

Patrick Stotko, et al. ∙

research

∙ 06/17/2019

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

Scene understanding is an important capability for robots acting in unst...

Radu Alexandru Rosu, et al. ∙

research

∙ 07/10/2018

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...

Robert Rudolph, et al. ∙

research

∙ 07/19/2018

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...

Pierre Barré, et al. ∙

research

∙ 03/09/2022

Language Model-driven Negative Sampling

Knowledge Graph Embeddings (KGEs) encode the entities and relations of a...

Mirza Mohtashim Alam, et al. ∙

research

∙ 07/30/2019

Open Set Domain Adaptation for Image and Action Recognition

Since annotating and curating large datasets is very expensive, there is...

Pau Panareda Busto, et al. ∙

research

∙ 08/14/2019

Directional TSDF: Modeling Surface Orientation for Coherent Meshes

Real-time 3D reconstruction from RGB-D sensor data plays an important ro...

Malte Splietker, et al. ∙

research

∙ 09/05/2019

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

Soccer ball detection is identified as one of the critical challenges in...

Anna Kukleva, et al. ∙

research

∙ 11/03/2017

Mandolin: A Knowledge Discovery Framework for the Web of Data

Markov Logic Networks join probabilistic modeling with first-order logic...

Tommaso Soru, et al. ∙

research

∙ 11/22/2017

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...

Ali Diba, et al. ∙

research

∙ 10/19/2017

Deep Self-taught Learning for Remote Sensing Image Classification

This paper addresses the land cover classification task for remote sensi...

Anika Bettge, et al. ∙

research

∙ 09/26/2017

On the regularization of Wasserstein GANs

Since their invention, generative adversarial networks (GANs) have becom...

Henning Petzka, et al. ∙

research

∙ 07/10/2017

Adaptive Binarization for Weakly Supervised Affordance Segmentation

The concept of affordance is important to understand the relevance of ob...

Johann Sawatzky, et al. ∙

research

∙ 06/27/2017

Recurrent Residual Learning for Action Recognition

Action recognition is a fundamental problem in computer vision with a lo...

Ahsan Iqbal, et al. ∙

research

∙ 06/02/2017

Temporal Action Labeling using Action Sets

Action detection and temporal segmentation of actions in videos are topi...

Alexander Richard, et al. ∙

research

∙ 05/08/2017

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...

Umar Iqbal, et al. ∙

research

∙ 04/10/2017

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...

Samet Hicsonmez, et al. ∙

research

∙ 04/03/2017

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...

Dimitrios Tzionas, et al. ∙

research

∙ 04/03/2017

A Comparison of Directional Distances for Hand Pose Estimation

Benchmarking methods for 3d hand tracking is still an open problem due t...

Dimitrios Tzionas, et al. ∙

research

∙ 03/23/2017

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

We present an approach for weakly supervised learning of human actions. ...

Alexander Richard, et al. ∙

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