Bin Yang

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

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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

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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

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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

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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

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TorontoCity: Seeing the World with a Million Eyes

In this paper we introduce the TorontoCity benchmark, which covers the f...
12/01/2016 ∙ by Shenlong Wang, et al. ∙ 0 ∙ share

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Crafting GBD-Net for Object Detection

The visual cues from multiple support regions of different sizes and res...
10/08/2016 ∙ by Xingyu Zeng, et al. ∙ 0 ∙ share

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CRAFT Objects from Images

Object detection is a fundamental problem in image understanding. One po...
04/12/2016 ∙ by Bin Yang, et al. ∙ 0 ∙ share

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T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos

The state-of-the-art performance for object detection has been significa...
04/09/2016 ∙ by Kai Kang, et al. ∙ 0 ∙ share

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Matroidal structure of generalized rough sets based on symmetric and transitive relations

Rough sets are efficient for data pre-process in data mining. Lower and ...
09/25/2012 ∙ by Bin Yang, et al. ∙ 0 ∙ share

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Convolutional Channel Features

Deep learning methods are powerful tools but often suffer from expensive...
04/28/2015 ∙ by Bin Yang, et al. ∙ 0 ∙ share

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Aggregate channel features for multi-view face detection

Face detection has drawn much attention in recent decades since the semi...
07/15/2014 ∙ by Bin Yang, et al. ∙ 0 ∙ share

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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Bin Yang

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