Bin Yang

Fully Automated and Standardized Segmentation of Adipose Tissue Compartments by Deep Learning in Three-dimensional Whole-body MRI of Epidemiological Cohort Studies

Purpose: To enable fast and reliable assessment of subcutaneous and visc...
08/05/2020 ∙ by Thomas Küstner, et al. ∙ 0 ∙ share

read it
Force myography benchmark data for hand gesture recognition and transfer learning

Force myography has recently gained increasing attention for hand gestur...
07/29/2020 ∙ by Thomas Buhl Andersen, et al. ∙ 0 ∙ share

read it
RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects

We tackle the problem of exploiting Radar for perception in the context ...
07/28/2020 ∙ by Bin Yang, et al. ∙ 6 ∙ share

read it
Learning Lane Graph Representations for Motion Forecasting

We propose a motion forecasting model that exploits a novel structured m...
07/27/2020 ∙ by Ming Liang, et al. ∙ 2 ∙ share

read it
Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning

Post-hoc calibration is a common approach for providing high-quality con...
06/23/2020 ∙ by Kanil Patel, et al. ∙ 0 ∙ share

read it
LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World

We tackle the problem of producing realistic simulations of LiDAR point ...
06/16/2020 ∙ by Sivabalan Manivasagam, et al. ∙ 12 ∙ share

read it
PnPNet: End-to-End Perception and Prediction with Tracking in the Loop

We tackle the problem of joint perception and motion forecasting in the ...
05/29/2020 ∙ by Ming Liang, et al. ∙ 10 ∙ share

read it
Physically Realizable Adversarial Examples for LiDAR Object Detection

Modern autonomous driving systems rely heavily on deep learning models t...
04/01/2020 ∙ by James Tu, et al. ∙ 14 ∙ share

read it
SELD-TCN: Sound Event Localization Detection via Temporal Convolutional Networks

The understanding of the surrounding environment plays a critical role i...
03/03/2020 ∙ by Karim Guirguis, et al. ∙ 0 ∙ share

read it
Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes

Graph convolutional neural networks (GCNs) have recently demonstrated pr...
02/26/2020 ∙ by Jilin Hu, et al. ∙ 0 ∙ share

read it
On-manifold Adversarial Data Augmentation Improves Uncertainty Calibration

Uncertainty estimates help to identify ambiguous, novel, or anomalous in...
12/16/2019 ∙ by Kanil Patel, et al. ∙ 22 ∙ share

read it
Perceptual Speech Enhancement via Generative Adversarial Networks

Automatic speech recognition (ASR) systems are of vital importance nowad...
10/21/2019 ∙ by Sherif Abdulatif, et al. ∙ 0 ∙ share

read it
ipA-MedGAN: Inpainting of Arbitrarily Regions in Medical Modalities

Local deformations in medical modalities are common phenomena due to a m...
10/21/2019 ∙ by Karim Armanious, et al. ∙ 0 ∙ share

read it
Organ-based Age Estimation based on 3D MRI Scans

Individuals age differently depending on a multitude of different factor...
10/14/2019 ∙ by Karim Armanious, et al. ∙ 0 ∙ share

read it
Unsupervised Adversarial Correction of Rigid MR Motion Artifacts

Motion is one of the main sources for artifacts in magnetic resonance (M...
10/12/2019 ∙ by Karim Armanious, et al. ∙ 0 ∙ share

read it
Enhancing Flood Impact Analysis using Interactive Retrieval of Social Media Images

The analysis of natural disasters such as floods in a timely manner ofte...
08/09/2019 ∙ by Björn Barz, et al. ∙ 0 ∙ share

read it
PathRank: A Multi-Task Learning Framework to Rank Paths in Spatial Networks

Modern navigation services often provide multiple paths connecting the s...
07/09/2019 ∙ by Sean Bin Yang, et al. ∙ 0 ∙ share

read it
Eigenfunction Behavior and Adaptive Finite Element Approximations of Nonlinear Eigenvalue Problems in Quantum Physics

In this paper, we investigate a class of nonlinear eigenvalue problems r...
07/09/2019 ∙ by Bin Yang, et al. ∙ 0 ∙ share

read it
Localizing Catastrophic Forgetting in Neural Networks

Artificial neural networks (ANNs) suffer from catastrophic forgetting wh...
06/06/2019 ∙ by Felix Wiewel, et al. ∙ 0 ∙ share

read it
2-bit Model Compression of Deep Convolutional Neural Network on ASIC Engine for Image Retrieval

Image retrieval utilizes image descriptors to retrieve the most similar ...
05/08/2019 ∙ by Bin Yang, et al. ∙ 0 ∙ share

read it
Open-Set Recognition Using Intra-Class Splitting

This paper proposes a method to use deep neural networks as end-to-end o...
03/12/2019 ∙ by Patrick Schlachter, et al. ∙ 0 ∙ share

read it
Unsupervised Medical Image Translation Using Cycle-MedGAN

Image-to-image translation is a new field in computer vision with multip...
03/08/2019 ∙ by Karim Armanious, et al. ∙ 0 ∙ share

read it
An Adversarial Super-Resolution Remedy for Radar Design Trade-offs

Radar is of vital importance in many fields, such as autonomous driving,...
03/04/2019 ∙ by Sherif Abdulatif, et al. ∙ 0 ∙ share

read it
PIXOR: Real-time 3D Object Detection from Point Clouds

We address the problem of real-time 3D object detection from point cloud...
02/17/2019 ∙ by Bin Yang, et al. ∙ 0 ∙ share

read it
Deep One-Class Classification Using Data Splitting

This paper introduces a generic method which enables to use conventional...
02/04/2019 ∙ by Patrick Schlachter, et al. ∙ 0 ∙ share

read it
Active Learning for One-Class Classification Using Two One-Class Classifiers

This paper introduces a novel, generic active learning method for one-cl...
01/10/2019 ∙ by Patrick Schlachter, et al. ∙ 0 ∙ share

read it
Performance Analysis of Non-Orthogonal Multicast in Two-tier Heterogeneous Networks

With the explosive growth of mobile services, non-orthogonal broadcast/m...
01/02/2019 ∙ by Yong Zhang, et al. ∙ 0 ∙ share

read it
One-Class Feature Learning Using Intra-Class Splitting

This paper proposes a novel generic one-class feature learning method wh...
12/20/2018 ∙ by Patrick Schlachter, et al. ∙ 0 ∙ share

read it
Non-invasive measuring method of skin temperature based on skin sensitivity index and deep learning

In human-centered intelligent building, real-time measurements of human ...
12/16/2018 ∙ by Xiaogang Cheng, et al. ∙ 0 ∙ share

read it
A Study of Human Body Characteristics Effect on Micro-Doppler-Based Person Identification using Deep Learning

Obtaining a smart surveillance requires a sensing system that can captur...
11/17/2018 ∙ by Sherif Abdulatif, et al. ∙ 0 ∙ share

read it
Recurrent Multi-Graph Neural Networks for Travel Cost Prediction

Origin-destination (OD) matrices are often used in urban planning, where...
11/13/2018 ∙ by Jilin Hu, et al. ∙ 0 ∙ share

read it
Macro pose-based non-invasive thermal comfort perception for energy efficiency

Individual thermal comfort perception plays very important roles in smar...
11/12/2018 ∙ by Bin Yang, et al. ∙ 0 ∙ share

read it
Non-invasive thermal comfort perception based on subtleness magnification and deep learning for energy efficiency

Human thermal comfort measurement plays a critical role in giving feedba...
11/12/2018 ∙ by Xiaogang Cheng, et al. ∙ 0 ∙ share

read it
Towards Adversarial Denoising of Radar Micro-Doppler Signatures

Generative Adversarial Networks (GANs) are considered the state-of-the-a...
11/12/2018 ∙ by Karim Armanious, et al. ∙ 4 ∙ share

read it
Deep Neural Network inference with reduced word length

Deep neural networks (DNN) are powerful models for many pattern recognit...
10/23/2018 ∙ by Lukas Mauch, et al. ∙ 0 ∙ share

read it
Adversarial Inpainting of Medical Image Modalities

Numerous factors could lead to partial deteriorations of medical images....
10/15/2018 ∙ by Karim Armanious, et al. ∙ 0 ∙ share

read it
Retrospective correction of Rigid and Non-Rigid MR motion artifacts using GANs

Motion artifacts are a primary source of magnetic resonance (MR) image q...
09/17/2018 ∙ by Karim Armanious, et al. ∙ 0 ∙ share

read it
Correlated Time Series Forecasting using Deep Neural Networks: A Summary of Results

Cyber-physical systems often consist of entities that interact with each...
08/29/2018 ∙ by Razvan-Gabriel Cirstea, et al. ∙ 0 ∙ share

read it
A Machine-learning framework for automatic reference-free quality assessment in MRI

Magnetic resonance (MR) imaging offers a wide variety of imaging techniq...
06/25/2018 ∙ by Thomas Kuestner, et al. ∙ 2 ∙ share

read it
MedGAN: Medical Image Translation using GANs

Image-to-image translation is considered a next frontier in the field of...
06/17/2018 ∙ by Karim Armanious, et al. ∙ 4 ∙ share

read it
A New Formulation of The Shortest Path Problem with On-Time Arrival Reliability

We study stochastic routing in the PAth-CEntric (PACE) uncertain road ne...
04/20/2018 ∙ by Georgi Andonov, et al. ∙ 0 ∙ share

read it
Learning to Reweight Examples for Robust Deep Learning

Deep neural networks have been shown to be very powerful modeling tools ...
03/24/2018 ∙ by Mengye Ren, et al. ∙ 0 ∙ share

read it
Multi-level Attention Model for Weakly Supervised Audio Classification

In this paper, we propose a multi-level attention model to solve the wea...
03/06/2018 ∙ by Changsong Yu, et al. ∙ 0 ∙ share

read it
Finding Top-k Optimal Sequenced Routes -- Full Version

Motivated by many practical applications in logistics and mobility-as-a-...
02/22/2018 ∙ by Huiping Liu, et al. ∙ 0 ∙ share

read it
Learning to Route with Sparse Trajectory Sets---Extended Version

Motivated by the increasing availability of vehicle trajectory data, we ...
02/22/2018 ∙ by Chenjuan Guo, et al. ∙ 0 ∙ share

read it
Neural Network Ensembles to Real-time Identification of Plug-level Appliance Measurements

The problem of identifying end-use electrical appliances from their indi...
02/20/2018 ∙ by Karim Said Barsim, et al. ∙ 0 ∙ share

read it
On the Feasibility of Generic Deep Disaggregation for Single-Load Extraction

Recently, and with the growing development of big energy datasets, data-...
02/05/2018 ∙ by Karim Said Barsim, et al. ∙ 0 ∙ share

read it
Selective Sampling and Mixture Models in Generative Adversarial Networks

In this paper, we propose a multi-generator extension to the adversarial...
02/02/2018 ∙ by Karim Said Barsim, et al. ∙ 0 ∙ share

read it
SBNet: Sparse Blocks Network for Fast Inference

Conventional deep convolutional neural networks (CNNs) apply convolution...
01/07/2018 ∙ by Mengye Ren, et al. ∙ 0 ∙ share

read it
On the Energy-Efficient Deployment for Ultra-Dense Heterogeneous Networks with NLoS and LoS Transmissions

We investigate network performance of ultra-dense heterogeneous networks...
12/12/2017 ∙ by Bin Yang, et al. ∙ 0 ∙ share

read it

Bin Yang

Featured Co-authors