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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...
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Bonn Activity Maps: Dataset Description
The key prerequisite for accessing the huge potential of current machine...
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Weakly Supervised Action Segmentation Using Mutual Consistency
Action segmentation is the task of predicting the actions in each frame ...
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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...
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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...
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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...
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Discovering Latent Classes for Semi-Supervised Semantic Segmentation
High annotation costs are a major bottleneck for the training of semanti...
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Deep Non-Line-of-Sight Reconstruction
The recent years have seen a surge of interest in methods for imaging be...
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ConvPoseCNN: Dense Convolutional 6D Object Pose Estimation
6D object pose estimation is a prerequisite for many applications. In re...
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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...
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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 ...
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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...
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SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation
Temporal action segmentation is a topic of increasing interest, however,...
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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...
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MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation
Temporally locating and classifying action segments in long untrimmed vi...
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Visual Descriptor Learning from Monocular Video
Correspondence estimation is one of the most widely researched and yet o...
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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...
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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...
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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...
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Open Set Domain Adaptation for Image and Action Recognition
Since annotating and curating large datasets is very expensive, there is...
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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...
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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...
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Mandolin: A Knowledge Discovery Framework for the Web of Data
Markov Logic Networks join probabilistic modeling with first-order logic...
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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...
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Deep Self-taught Learning for Remote Sensing Image Classification
This paper addresses the land cover classification task for remote sensi...
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On the regularization of Wasserstein GANs
Since their invention, generative adversarial networks (GANs) have becom...
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Adaptive Binarization for Weakly Supervised Affordance Segmentation
The concept of affordance is important to understand the relevance of ob...
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Recurrent Residual Learning for Action Recognition
Action recognition is a fundamental problem in computer vision with a lo...
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Temporal Action Labeling using Action Sets
Action detection and temporal segmentation of actions in videos are topi...
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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...
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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...
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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...
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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...
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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. ...
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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...
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Git4Voc: Git-based Versioning for Collaborative Vocabulary Development
Collaborative vocabulary development in the context of data integration ...
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The Search Problem in Mixture Models
We consider the task of learning the parameters of a single component o...
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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...
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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...
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Training Deep Networks with Structured Layers by Matrix Backpropagation
Deep neural network architectures have recently produced excellent resul...
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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...
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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...
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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 ...
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Reconstructing Articulated Rigged Models from RGB-D Videos
Although commercial and open-source software exist to reconstruct a stat...
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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...
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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 ...
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Optically lightweight tracking of objects around a corner
The observation of objects located in inaccessible regions is a recurrin...
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Direction matters: hand pose estimation from local surface normals
We present a hierarchical regression framework for estimating hand joint...
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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...
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Pose for Action - Action for Pose
In this work we propose to utilize information about human actions to im...
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