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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 ...
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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...
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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 ...
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WeatherBench: A benchmark dataset for data-driven weather forecasting
Data-driven approaches, most prominently deep learning, have become powe...
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Predictive Collective Variable Discovery with Deep Bayesian Models
Extending spatio-temporal scale limitations of models for complex atomis...
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clDice – a Topology-Preserving Loss Function for Tubular Structure Segmentation
Accurate segmentation of tubular, network-like structures, such as vesse...
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Hierarchical Feature Embedding for Attribute Recognition
Attribute recognition is a crucial but challenging task due to viewpoint...
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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...
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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...
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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 ...
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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...
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Learning a Neural Solver for Multiple Object Tracking
Graphs offer a natural way to formulate Multiple Object Tracking (MOT) w...
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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 ...
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SteReFo: Efficient Image Refocusing with Stereo Vision
Whether to attract viewer attention to a particular object, give the imp...
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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...
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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...
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Planning from Images with Deep Latent Gaussian Process Dynamics
Planning is a powerful approach to control problems with known environme...
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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...
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HistoNet: Predicting size histograms of object instances
We propose to predict histograms of object sizes in crowded scenes direc...
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Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning
In this paper we introduce the first reinforcement learning (RL) based r...
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Parsing Geometry Using Structure-Aware Shape Templates
Real-life man-made objects often exhibit strong and easily-identifiable ...
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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-...
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Tracking without bells and whistles
The problem of tracking multiple objects in a video sequence poses sever...
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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...
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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...
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Force-Ultrasound Fusion: Bringing Spine Robotic-US to the Next "Level"
Spine injections are commonly performed in several clinical procedures. ...
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Spatiotemporal-Aware Augmented Reality: Redefining HCI in Image-Guided Therapy
Suboptimal interaction with patient data and challenges in mastering 3D ...
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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...
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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...
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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...
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CVPR19 Tracking and Detection Challenge: How crowded can it get?
Standardized benchmarks are crucial for the majority of computer vision ...
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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...
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Self6D: Self-Supervised Monocular 6D Object Pose Estimation
Estimating the 6D object pose is a fundamental problem in computer visio...
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Decision Support for Intoxication Prediction Using Graph Convolutional Networks
Every day, poison control centers (PCC) are called for immediate classif...
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Cross-Task Transfer for Multimodal Aerial Scene Recognition
Aerial scene recognition is a fundamental task in remote sensing and has...
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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...
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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...
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Multi-Source Neural Variational Inference
Learning from multiple sources of information is an important problem in...
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Temporally Coherent GANs for Video Super-Resolution (TecoGAN)
Adversarial training has been highly successful in the context of image ...
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Deferred Neural Rendering: Image Synthesis using Neural Textures
The modern computer graphics pipeline can synthesize images at remarkabl...
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Towards Unsupervised Image Captioning with Shared Multimodal Embeddings
Understanding images without explicit supervision has become an importan...
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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 ...
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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...
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Omnidirectional DSO: Direct Sparse Odometry with Fisheye Cameras
We propose a novel real-time direct monocular visual odometry for omnidi...
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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...
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A Novel Multi-Detector Fusion Framework for Multi-Object Tracking
In order to track all persons in a scene, the tracking-by-detection para...
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Tracking with multi-level features
We present a novel formulation of the multiple object tracking problem w...
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Motion Fused Frames: Data Level Fusion Strategy for Hand Gesture Recognition
Acquiring spatio-temporal states of an action is the most crucial step f...
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Peeking Behind Objects: Layered Depth Prediction from a Single Image
While conventional depth estimation can infer the geometry of a scene fr...
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Convolutional Neural Networks with Layer Reuse
A convolutional layer in a Convolutional Neural Network (CNN) consists o...
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