b'Bin Yang'

A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image

Optical Coherence Tomography Angiography (OCTA) is a non-invasive and no...
07/22/2021 ∙ by Yufei Wang, et al. ∙ 17 ∙ share

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LAPNet: Non-rigid Registration derived in k-space for Magnetic Resonance Imaging

Physiological motion, such as cardiac and respiratory motion, during Mag...
07/19/2021 ∙ by Thomas Küstner, et al. ∙ 13 ∙ share

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Unsupervised Path Representation Learning with Curriculum Negative Sampling

Path representations are critical in a variety of transportation applica...
06/17/2021 ∙ by Sean Bin Yang, et al. ∙ 3 ∙ share

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Convergence and Optimal Complexity of the Adaptive Planewave Method for Eigenvalue Computations

In this paper, we study an adaptive planewave method for multiple eigenv...
06/02/2021 ∙ by Xiaoying Dai, et al. ∙ 0 ∙ share

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Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation

Deep convolutional neural networks have considerably improved state-of-t...
05/05/2021 ∙ by Robert A. Marsden, et al. ∙ 0 ∙ share

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MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption

An unresolved problem in Deep Learning is the ability of neural networks...
03/30/2021 ∙ by Alexander Bartler, et al. ∙ 0 ∙ share

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Graph Attention Recurrent Neural Networks for Correlated Time Series Forecasting – Full version

We consider a setting where multiple entities inter-act with each other ...
03/19/2021 ∙ by Razvan-Gabriel Cirstea, et al. ∙ 0 ∙ share

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Uncertainty-Based Biological Age Estimation of Brain MRI Scans

Age is an essential factor in modern diagnostic procedures. However, ass...
03/15/2021 ∙ by Karim Armanious, et al. ∙ 0 ∙ share

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Anomaly Detection Based on Selection and Weighting in Latent Space

With the high requirements of automation in the era of Industry 4.0, ano...
03/08/2021 ∙ by Yiwen Liao, et al. ∙ 0 ∙ share

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Condensed Composite Memory Continual Learning

Deep Neural Networks (DNNs) suffer from a rapid decrease in performance ...
02/19/2021 ∙ by Felix Wiewel, et al. ∙ 0 ∙ share

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SLPC: a VRNN-based approach for stochastic lidar prediction and completion in autonomous driving

Predicting future 3D LiDAR pointclouds is a challenging task that is use...
02/19/2021 ∙ by George Eskandar, et al. ∙ 0 ∙ share

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End-to-end Interpretable Neural Motion Planner

In this paper, we propose a neural motion planner (NMP) for learning to ...
01/17/2021 ∙ by Wenyuan Zeng, et al. ∙ 0 ∙ share

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PLUME: Efficient 3D Object Detection from Stereo Images

3D object detection plays a significant role in various robotic applicat...
01/17/2021 ∙ by Yan Wang, et al. ∙ 14 ∙ share

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Auto4D: Learning to Label 4D Objects from Sequential Point Clouds

In the past few years we have seen great advances in 3D object detection...
01/17/2021 ∙ by Bin Yang, et al. ∙ 0 ∙ share

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Diverse Complexity Measures for Dataset Curation in Self-driving

Modern self-driving autonomy systems heavily rely on deep learning. As a...
01/16/2021 ∙ by Abbas Sadat, et al. ∙ 0 ∙ share

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Learning Joint 2D-3D Representations for Depth Completion

In this paper, we tackle the problem of depth completion from RGBD data....
12/22/2020 ∙ by Yun Chen, et al. ∙ 31 ∙ share

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Multi-Task Multi-Sensor Fusion for 3D Object Detection

In this paper we propose to exploit multiple related tasks for accurate ...
12/22/2020 ∙ by Ming Liang, et al. ∙ 11 ∙ share

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Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net

In this paper we propose a novel deep neural network that is able to joi...
12/22/2020 ∙ by Wenjie Luo, et al. ∙ 53 ∙ share

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HDNET: Exploiting HD Maps for 3D Object Detection

In this paper we show that High-Definition (HD) maps provide strong prio...
12/21/2020 ∙ by Bin Yang, et al. ∙ 0 ∙ share

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Deep Continuous Fusion for Multi-Sensor 3D Object Detection

In this paper, we propose a novel 3D object detector that can exploit bo...
12/20/2020 ∙ by Ming Liang, et al. ∙ 7 ∙ share

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Recovering and Simulating Pedestrians in the Wild

Sensor simulation is a key component for testing the performance of self...
11/16/2020 ∙ by Ze Yang, et al. ∙ 0 ∙ share

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Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving

In this paper, we propose an end-to-end self-driving network featuring a...
11/02/2020 ∙ by Bob Wei, et al. ∙ 0 ∙ share

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Feature Selection Using Batch-Wise Attenuation and Feature Mask Normalization

Feature selection is generally used as one of the most important pre-pro...
10/26/2020 ∙ by Yiwen Liao, et al. ∙ 9 ∙ share

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Investigating Cross-Domain Losses for Speech Enhancement

Recent years have seen a surge in the number of available frameworks for...
10/20/2020 ∙ by Sherif Abdulatif, et al. ∙ 0 ∙ share

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Age-Net: An MRI-Based Iterative Framework for Biological Age Estimation

The concept of biological age (BA) - although important in clinical prac...
09/22/2020 ∙ by Karim Armanious, et al. ∙ 8 ∙ share

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V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction

In this paper, we explore the use of vehicle-to-vehicle (V2V) communicat...
08/17/2020 ∙ by Tsun-Hsuan Wang, et al. ∙ 0 ∙ share

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DSDNet: Deep Structured self-Driving Network

In this paper, we propose the Deep Structured self-Driving Network (DSDN...
08/13/2020 ∙ by Wenyuan Zeng, et al. ∙ 5 ∙ share

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Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction

We present a novel method for testing the safety of self-driving vehicle...
08/13/2020 ∙ by Kelvin Wong, et al. ∙ 9 ∙ share

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End-to-end Contextual Perception and Prediction with Interaction Transformer

In this paper, we tackle the problem of detecting objects in 3D and fore...
08/13/2020 ∙ by Lingyun Luke Li, et al. ∙ 20 ∙ share

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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. ∙ 7 ∙ share

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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

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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

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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

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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

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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

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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

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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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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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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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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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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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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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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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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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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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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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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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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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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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Bin Yang

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