Technische Universität München

∙ München , Germany ∙ 0 followers

Technical University of Munich is a research university with campuses in Munich, Garching and Freising-Weihenstephan.

A Comparative Study between Bayesian and Frequentist Neural Networks for Remaining Useful Life Estimation in Condition-Based Maintenance

In the last decade, deep learning (DL) has outperformed model-based and ...
11/14/2019 ∙ by Luca Della Libera, et al. ∙ 64 ∙ share

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Machine Learning-Based Optimal Mesh Generation in Computational Fluid Dynamics

Computational Fluid Dynamics (CFD) is a major sub-field of engineering. ...
02/25/2021 ∙ by Keefe Huang, et al. ∙ 41 ∙ share

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Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient

In this study, we explore quantitative correlates of qualitative human e...
03/10/2021 ∙ by Florian Kofler, et al. ∙ 28 ∙ share

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Autolabeling 3D Objects with Differentiable Rendering of SDF Shape Priors

We present an automatic annotation pipeline to recover 9D cuboids and 3D...
11/26/2019 ∙ by Sergey Zakharov, et al. ∙ 23 ∙ share

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Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-Sequence Cardiac MR Images Segmentation

Analysis and modeling of the ventricles and myocardium are important in ...
08/25/2019 ∙ by Jingkun Chen, et al. ∙ 21 ∙ share

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WeatherBench: A benchmark dataset for data-driven weather forecasting

Data-driven approaches, most prominently deep learning, have become powe...
02/02/2020 ∙ by Stephan Rasp, et al. ∙ 19 ∙ share

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Predictive Collective Variable Discovery with Deep Bayesian Models

Extending spatio-temporal scale limitations of models for complex atomis...
09/18/2018 ∙ by Markus Schöberl, et al. ∙ 18 ∙ share

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clDice – a Topology-Preserving Loss Function for Tubular Structure Segmentation

Accurate segmentation of tubular, network-like structures, such as vesse...
03/16/2020 ∙ by Suprosanna, et al. ∙ 18 ∙ share

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Hierarchical Feature Embedding for Attribute Recognition

Attribute recognition is a crucial but challenging task due to viewpoint...
05/23/2020 ∙ by Jie Yang, et al. ∙ 18 ∙ share

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Generalized Zero and Few-Shot Transfer for Facial Forgery Detection

We propose Deep Distribution Transfer(DDT), a new transfer learning appr...
06/21/2020 ∙ by Shivangi Aneja, et al. ∙ 18 ∙ share

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e-UDA: Efficient Unsupervised Domain Adaptation for Cross-Site Medical Image Segmentation

Domain adaptation in healthcare data is a potentially critical component...
01/25/2020 ∙ by Hongwei Li, et al. ∙ 17 ∙ share

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ERA: A Dataset and Deep Learning Benchmark for Event Recognition in Aerial Videos

Along with the increasing use of unmanned aerial vehicles (UAVs), large ...
01/30/2020 ∙ by Lichao Mou, et al. ∙ 16 ∙ share

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A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection

Object detection in camera images, using deep learning has been proven s...
05/15/2020 ∙ by Felix Nobis, et al. ∙ 16 ∙ share

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Learning a Neural Solver for Multiple Object Tracking

Graphs offer a natural way to formulate Multiple Object Tracking (MOT) w...
12/16/2019 ∙ by Guillem Brasó, et al. ∙ 15 ∙ share

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FutureGAN: Anticipating the Future Frames of Video Sequences using Spatio-Temporal 3d Convolutions in Progressively Growing Autoencoder GANs

We propose a new Autoencoder GAN model, FutureGAN, that predicts future ...
10/02/2018 ∙ by Sandra Aigner, et al. ∙ 14 ∙ share

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SteReFo: Efficient Image Refocusing with Stereo Vision

Whether to attract viewer attention to a particular object, give the imp...
09/29/2019 ∙ by Benjamin Busam, et al. ∙ 14 ∙ share

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Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach

A novel approach towards depth map super-resolution using multi-view unc...
12/13/2019 ∙ by Lu Sang, et al. ∙ 14 ∙ share

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Learning Graph Embeddings for Compositional Zero-shot Learning

In compositional zero-shot learning, the goal is to recognize unseen com...
02/03/2021 ∙ by Muhammad Ferjad Naeem, et al. ∙ 14 ∙ share

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MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and Classification

We introduce MultiDepth, a novel training strategy and convolutional neu...
07/25/2019 ∙ by Lukas Liebel, et al. ∙ 12 ∙ share

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Planning from Images with Deep Latent Gaussian Process Dynamics

Planning is a powerful approach to control problems with known environme...
05/07/2020 ∙ by Nathanael Bosch, et al. ∙ 12 ∙ share

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CorNet: Generic 3D Corners for 6D Pose Estimation of New Objects without Retraining

We present a novel approach to the detection and 3D pose estimation of o...
08/29/2019 ∙ by Giorgia Pitteri, et al. ∙ 11 ∙ share

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HistoNet: Predicting size histograms of object instances

We propose to predict histograms of object sizes in crowded scenes direc...
12/11/2019 ∙ by Kishan Sharma, et al. ∙ 11 ∙ share

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Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning

In this paper we introduce the first reinforcement learning (RL) based r...
03/30/2020 ∙ by Hannes Hase, et al. ∙ 11 ∙ share

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Parsing Geometry Using Structure-Aware Shape Templates

Real-life man-made objects often exhibit strong and easily-identifiable ...
08/03/2018 ∙ by Vignesh Ganapathi-Subramanian, et al. ∙ 10 ∙ share

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An Optical Flow-Based Approach for Minimally-Divergent Velocimetry Data Interpolation

Three-dimensional (3D) biomedical image sets are often acquired with in-...
12/20/2018 ∙ by Berkay Kanberoglu, et al. ∙ 10 ∙ share

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Tracking without bells and whistles

The problem of tracking multiple objects in a video sequence poses sever...
03/13/2019 ∙ by Philipp Bergmann, et al. ∙ 10 ∙ share

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Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools

Deep Learning (DL) has had an immense success in the recent past, leadin...
03/27/2019 ∙ by Ruben Mayer, et al. ∙ 10 ∙ share

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Generating Reliable Process Event Streams and Time Series Data based on Neural Networks

Domains such as manufacturing and medicine crave for continuous monitori...
03/09/2021 ∙ by Tobias Herbert, et al. ∙ 10 ∙ share

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A Review on Neural Network Models of Schizophrenia and Autism Spectrum Disorder

This survey presents the most relevant neural network models of autism s...
06/24/2019 ∙ by Pablo Lanillos, et al. ∙ 9 ∙ share

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Force-Ultrasound Fusion: Bringing Spine Robotic-US to the Next "Level"

Spine injections are commonly performed in several clinical procedures. ...
02/26/2020 ∙ by Maria Tirindelli, et al. ∙ 9 ∙ share

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Spatiotemporal-Aware Augmented Reality: Redefining HCI in Image-Guided Therapy

Suboptimal interaction with patient data and challenges in mastering 3D ...
03/04/2020 ∙ by Javad Fotouhi, et al. ∙ 9 ∙ share

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Indirect and Direct Training of Spiking Neural Networks for End-to-End Control of a Lane-Keeping Vehicle

Building spiking neural networks (SNNs) based on biological synaptic pla...
03/10/2020 ∙ by Zhenshan Bing, et al. ∙ 9 ∙ share

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Spatio-temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation

Segmentation of Multiple Sclerosis (MS) lesions in longitudinal brain MR...
04/07/2020 ∙ by Stefan Denner, et al. ∙ 9 ∙ share

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Recurrently Exploring Class-wise Attention in A Hybrid Convolutional and Bidirectional LSTM Network for Multi-label Aerial Image Classification

Aerial image classification is of great significance in remote sensing c...
07/30/2018 ∙ by Yuansheng Hua, et al. ∙ 8 ∙ share

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CVPR19 Tracking and Detection Challenge: How crowded can it get?

Standardized benchmarks are crucial for the majority of computer vision ...
06/10/2019 ∙ by Patrick Dendorfer, et al. ∙ 8 ∙ share

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Object-Driven Multi-Layer Scene Decomposition From a Single Image

We present a method that tackles the challenge of predicting color and d...
08/26/2019 ∙ by Helisa Dhamo, et al. ∙ 8 ∙ share

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Self6D: Self-Supervised Monocular 6D Object Pose Estimation

Estimating the 6D object pose is a fundamental problem in computer visio...
04/14/2020 ∙ by Gu Wang, et al. ∙ 8 ∙ share

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Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective

Exploiting learning algorithms under scarce data regimes is a limitation...
04/22/2020 ∙ by Ahmad B Qasim, et al. ∙ 8 ∙ share

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Decision Support for Intoxication Prediction Using Graph Convolutional Networks

Every day, poison control centers (PCC) are called for immediate classif...
05/02/2020 ∙ by Hendrik Burwinkel, et al. ∙ 8 ∙ share

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Cross-Task Transfer for Multimodal Aerial Scene Recognition

Aerial scene recognition is a fundamental task in remote sensing and has...
05/18/2020 ∙ by Di Hu, et al. ∙ 8 ∙ share

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From Planes to Corners: Multi-Purpose Primitive Detection in Unorganized 3D Point Clouds

We propose a new method for segmentation-free joint estimation of orthog...
01/21/2020 ∙ by Christiane Sommer, et al. ∙ 7 ∙ share

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Multi-Source Neural Variational Inference

Learning from multiple sources of information is an important problem in...
11/11/2018 ∙ by Richard Kurle, et al. ∙ 6 ∙ share

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Temporally Coherent GANs for Video Super-Resolution (TecoGAN)

Adversarial training has been highly successful in the context of image ...
11/23/2018 ∙ by Mengyu Chu, et al. ∙ 6 ∙ share

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Deferred Neural Rendering: Image Synthesis using Neural Textures

The modern computer graphics pipeline can synthesize images at remarkabl...
04/28/2019 ∙ by Justus Thies, et al. ∙ 6 ∙ share

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Towards Unsupervised Image Captioning with Shared Multimodal Embeddings

Understanding images without explicit supervision has become an importan...
08/25/2019 ∙ by Iro Laina, et al. ∙ 6 ∙ share

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Deep Model-Based 6D Pose Refinement in RGB

We present a novel approach for model-based 6D pose refinement in color ...
10/07/2018 ∙ by Fabian Manhardt, et al. ∙ 5 ∙ share

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Real-Time Driver State Monitoring Using a CNN Based Spatio-Temporal Approach

Many road accidents occur due to distracted drivers. Today, driver monit...
07/18/2019 ∙ by Neslihan Köse, et al. ∙ 5 ∙ share

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GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation

6D pose estimation from a single RGB image is a fundamental task in comp...
02/24/2021 ∙ by Gu Wang, et al. ∙ 4 ∙ share

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Omnidirectional DSO: Direct Sparse Odometry with Fisheye Cameras

We propose a novel real-time direct monocular visual odometry for omnidi...
08/08/2018 ∙ by Hidenobu Matsuki, et al. ∙ 2 ∙ share

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SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again

We present a novel method for detecting 3D model instances and estimatin...
11/27/2017 ∙ by Wadim Kehl, et al. ∙ 1 ∙ share

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