b'Bin Yang'

research

∙ 07/01/2022

A Deep-Learning-Aided Pipeline for Efficient Post-Silicon Tuning

In post-silicon validation, tuning is to find the values for the tuning ...

Yiwen Liao, et al. ∙

research

∙ 07/01/2022

Conditional Variable Selection for Intelligent Test

Intelligent test requires efficient and effective analysis of high-dimen...

Yiwen Liao, et al. ∙

research

∙ 06/22/2022

Federated Latent Class Regression for Hierarchical Data

Federated Learning (FL) allows a number of agents to participate in trai...

Bin Yang, et al. ∙

research

∙ 06/06/2022

Conditional Seq2Seq model for the time-dependent two-level system

We apply the deep learning neural network architecture to the two-level ...

Bin Yang, et al. ∙

research

∙ 05/18/2022

TTAPS: Test-Time Adaption by Aligning Prototypes using Self-Supervision

Nowadays, deep neural networks outperform humans in many tasks. However,...

Alexander Bartler, et al. ∙

research

∙ 05/18/2022

(O,G)-granular variable precision fuzzy rough sets based on overlap and grouping functions

Since Bustince et al. introduced the concepts of overlap and grouping fu...

Wei Li, et al. ∙

research

∙ 04/28/2022

Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting–Full Version

A variety of real-world applications rely on far future information to m...

Razvan-Gabriel Cirstea, et al. ∙

research

∙ 04/28/2022

Improving the estimation of directional area scattering factor (DASF) from canopy reflectance: theoretical basis and validation

Directional area scattering factor (DASF) is a critical canopy structura...

Yi Lin, et al. ∙

research

∙ 04/11/2022

Few-Shot Object Detection in Unseen Domains

Few-shot object detection (FSOD) has thrived in recent years to learn no...

Karim Guirguis, et al. ∙

research

∙ 04/07/2022

Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection—Extended Version

Time series data occurs widely, and outlier detection is a fundamental p...

Tung Kieu, et al. ∙

research

∙ 03/30/2022

Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning – Extended Version

In step with the digitalization of transportation, we are witnessing a g...

Sean Bin Yang, et al. ∙

research

∙ 03/29/2022

Towards Spatio-Temporal Aware Traffic Time Series Forecasting–Full Version

Traffic time series forecasting is challenging due to complex spatio-tem...

Razvan-Gabriel Cirstea, et al. ∙

research

∙ 03/28/2022

CMGAN: Conformer-based Metric GAN for Speech Enhancement

Recently, convolution-augmented transformer (Conformer) has achieved pro...

Ruizhe Cao, et al. ∙

research

∙ 03/07/2022

An Unsupervised Domain Adaptive Approach for Multimodal 2D Object Detection in Adverse Weather Conditions

Integrating different representations from complementary sensing modalit...

George Eskandar, et al. ∙

research

∙ 02/17/2022

Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs

Multivariate time series forecasting has long received significant atten...

Ming Jin, et al. ∙

research

∙ 02/08/2022

GLPU: A Geometric Approach For Lidar Pointcloud Upsampling

In autonomous driving, lidar is inherent for the understanding of the 3D...

George Eskandar, et al. ∙

research

∙ 01/18/2022

Mathematical Analysis and Numerical Approximations of Density Functional Theory Models for Metallic Systems

In this paper, we investigate the energy minimization model of the ensem...

Xiaoying Dai, et al. ∙

research

∙ 01/09/2022

Fast solver for J2-perturbed Lambert problem using deep neural network

This paper presents a novel and fast solver for the J2-perturbed Lambert...

Bin Yang, et al. ∙

research

∙ 12/21/2021

AutoCTS: Automated Correlated Time Series Forecasting – Extended Version

Correlated time series (CTS) forecasting plays an essential role in many...

Xinle Wu, et al. ∙

research

∙ 11/25/2021

BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule

Differentiable Architecture Search (DARTS) has received massive attentio...

Miao Zhang, et al. ∙

research

∙ 11/22/2021

Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles – Extended Version

With the sweeping digitalization of societal, medical, industrial, and s...

David Campos, et al. ∙

research

∙ 10/26/2021

BuffetFS: Serve Yourself Permission Checks without Remote Procedure Calls

The remote procedure call (a.k.a. RPC) latency becomes increasingly sign...

Yanliang Zou, et al. ∙

research

∙ 09/29/2021

USIS: Unsupervised Semantic Image Synthesis

Semantic Image Synthesis (SIS) is a subclass of image-to-image translati...

George Eskandar, et al. ∙

research

∙ 09/27/2021

Improving Uncertainty of Deep Learning-based Object Classification on Radar Spectra using Label Smoothing

Object type classification for automotive radar has greatly improved wit...

Kanil Patel, et al. ∙

research

∙ 09/06/2021

Estimation of Bivariate Structural Causal Models by Variational Gaussian Process Regression Under Likelihoods Parametrised by Normalising Flows

One major drawback of state-of-the-art artificial intelligence is its la...

Nico Reick, et al. ∙

research

∙ 07/22/2021

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...

Yufei Wang, et al. ∙

research

∙ 07/19/2021

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

Physiological motion, such as cardiac and respiratory motion, during Mag...

Thomas Küstner, et al. ∙

research

∙ 06/17/2021

Unsupervised Path Representation Learning with Curriculum Negative Sampling

Path representations are critical in a variety of transportation applica...

Sean Bin Yang, et al. ∙

research

∙ 06/02/2021

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

In this paper, we study an adaptive planewave method for multiple eigenv...

Xiaoying Dai, et al. ∙

research

∙ 05/05/2021

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

Deep convolutional neural networks have considerably improved state-of-t...

Robert A. Marsden, et al. ∙

research

∙ 03/30/2021

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

An unresolved problem in Deep Learning is the ability of neural networks...

Alexander Bartler, et al. ∙

research

∙ 03/19/2021

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

We consider a setting where multiple entities inter-act with each other ...

Razvan-Gabriel Cirstea, et al. ∙

research

∙ 03/15/2021

Uncertainty-Based Biological Age Estimation of Brain MRI Scans

Age is an essential factor in modern diagnostic procedures. However, ass...

Karim Armanious, et al. ∙

research

∙ 03/08/2021

Anomaly Detection Based on Selection and Weighting in Latent Space

With the high requirements of automation in the era of Industry 4.0, ano...

Yiwen Liao, et al. ∙

research

∙ 02/19/2021

Condensed Composite Memory Continual Learning

Deep Neural Networks (DNNs) suffer from a rapid decrease in performance ...

Felix Wiewel, et al. ∙

research

∙ 02/19/2021

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...

George Eskandar, et al. ∙

research

∙ 01/17/2021

End-to-end Interpretable Neural Motion Planner

In this paper, we propose a neural motion planner (NMP) for learning to ...

Wenyuan Zeng, et al. ∙

research

∙ 01/17/2021

PLUME: Efficient 3D Object Detection from Stereo Images

3D object detection plays a significant role in various robotic applicat...

Yan Wang, et al. ∙

research

∙ 01/17/2021

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

In the past few years we have seen great advances in 3D object detection...

Bin Yang, et al. ∙

research

∙ 01/16/2021

Diverse Complexity Measures for Dataset Curation in Self-driving

Modern self-driving autonomy systems heavily rely on deep learning. As a...

Abbas Sadat, et al. ∙

research

∙ 12/22/2020

Learning Joint 2D-3D Representations for Depth Completion

In this paper, we tackle the problem of depth completion from RGBD data....

Yun Chen, et al. ∙

research

∙ 12/22/2020

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

In this paper we propose to exploit multiple related tasks for accurate ...

Ming Liang, et al. ∙

research

∙ 12/22/2020

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...

Wenjie Luo, et al. ∙

research

∙ 12/21/2020

HDNET: Exploiting HD Maps for 3D Object Detection

In this paper we show that High-Definition (HD) maps provide strong prio...

Bin Yang, et al. ∙

research

∙ 12/20/2020

Deep Continuous Fusion for Multi-Sensor 3D Object Detection

In this paper, we propose a novel 3D object detector that can exploit bo...

Ming Liang, et al. ∙

research

∙ 11/16/2020

Recovering and Simulating Pedestrians in the Wild

Sensor simulation is a key component for testing the performance of self...

Ze Yang, et al. ∙

research

∙ 11/02/2020

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...

Bob Wei, et al. ∙

research

∙ 10/26/2020

Feature Selection Using Batch-Wise Attenuation and Feature Mask Normalization

Feature selection is generally used as one of the most important pre-pro...

Yiwen Liao, et al. ∙

research

∙ 10/20/2020

Investigating Cross-Domain Losses for Speech Enhancement

Recent years have seen a surge in the number of available frameworks for...

Sherif Abdulatif, et al. ∙

research

∙ 09/22/2020

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

The concept of biological age (BA) - although important in clinical prac...

Karim Armanious, et al. ∙

Bin Yang

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