b'Yi Wang'

research

∙ 06/28/2022

Exploring linguistic feature and model combination for speech recognition based automatic AD detection

Early diagnosis of Alzheimer's disease (AD) is crucial in facilitating p...

Yi Wang, et al. ∙

research

∙ 06/27/2022

Self-supervised Learning in Remote Sensing: A Review

In deep learning research, self-supervised learning (SSL) has received g...

Yi Wang, et al. ∙

research

∙ 06/23/2022

Conformer Based Elderly Speech Recognition System for Alzheimer's Disease Detection

Early diagnosis of Alzheimer's disease (AD) is crucial in facilitating p...

Tianzi Wang, et al. ∙

research

∙ 06/20/2022

WOLONet: Wave Outlooker for Efficient and High Fidelity Speech Synthesis

Recently, GAN-based neural vocoders such as Parallel WaveGAN, MelGAN, Hi...

Yi Wang, et al. ∙

research

∙ 06/14/2022

Monitoring Urban Forests from Auto-Generated Segmentation Maps

We present and evaluate a weakly-supervised methodology to quantify the ...

Conrad M Albrecht, et al. ∙

research

∙ 05/24/2022

UMSNet: An Universal Multi-sensor Network for Human Activity Recognition

Human activity recognition (HAR) based on multimodal sensors has become ...

Jialiang Wang, et al. ∙

research

∙ 05/20/2022

Beam Training and Tracking in MmWave Communication: A Survey

Communicating on millimeter wave (mmWave) bands is ushering in a new epo...

Yi Wang, et al. ∙

research

∙ 04/25/2022

Long-run User Value Optimization in Recommender Systems through Content Creation Modeling

Content recommender systems are generally adept at maximizing immediate ...

Akos Lada, et al. ∙

research

∙ 04/11/2022

Self-supervised Vision Transformers for Joint SAR-optical Representation Learning

Self-supervised learning (SSL) has attracted much interest in remote sen...

Yi Wang, et al. ∙

research

∙ 03/29/2022

MAT: Mask-Aware Transformer for Large Hole Image Inpainting

Recent studies have shown the importance of modeling long-range interact...

Wenbo Li, et al. ∙

research

∙ 03/28/2022

Towards Implicit Text-Guided 3D Shape Generation

In this work, we explore the challenging task of generating 3D shapes fr...

Zhengzhe Liu, et al. ∙

research

∙ 02/17/2022

TAFNet: A Three-Stream Adaptive Fusion Network for RGB-T Crowd Counting

In this paper, we propose a three-stream adaptive fusion network named T...

Haihan Tang, et al. ∙

research

∙ 02/06/2022

Robust Anomaly Detection for Time-series Data

Time-series anomaly detection plays a vital role in monitoring complex o...

Min Hu, et al. ∙

research

∙ 01/02/2022

Recurrent Feature Propagation and Edge Skip-Connections for Automatic Abdominal Organ Segmentation

Automatic segmentation of abdominal organs in computed tomography (CT) i...

Zefan Yang, et al. ∙

research

∙ 12/03/2021

Make A Long Image Short: Adaptive Token Length for Vision Transformers

The vision transformer splits each image into a sequence of tokens with ...

Yichen Zhu, et al. ∙

research

∙ 12/01/2021

Training BatchNorm Only in Neural Architecture Search and Beyond

This work investigates the usage of batch normalization in neural archit...

Yichen Zhu, et al. ∙

research

∙ 11/15/2021

Recursive Self-Improvement for Camera Image and Signal Processing Pipeline

Current camera image and signal processing pipelines (ISPs), including d...

Chandrajit Bajaj, et al. ∙

research

∙ 11/09/2021

Learning Ultrasound Scanning Skills from Human Demonstrations

Recently, the robotic ultrasound system has become an emerging topic owi...

Xutian Deng, et al. ∙

research

∙ 10/14/2021

Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels

Tissue-level semantic segmentation is a vital step in computational path...

Chu Han, et al. ∙

research

∙ 09/22/2021

Audio-Visual Grounding Referring Expression for Robotic Manipulation

Referring expressions are commonly used when referring to a specific tar...

Yefei Wang, et al. ∙

research

∙ 09/15/2021

Learning Friction Model for Magnet-actuated Tethered Capsule Robot

The potential diagnostic applications of magnet-actuated capsules have b...

Yi Wang, et al. ∙

research

∙ 09/15/2021

Image Synthesis via Semantic Composition

In this paper, we present a novel approach to synthesize realistic image...

Yi Wang, et al. ∙

research

∙ 08/16/2021

Learning Friction Model for Tethered Capsule Robot

With the potential applications of capsule robots in medical endoscopy, ...

Yi Wang, et al. ∙

research

∙ 08/12/2021

Conditional Temporal Variational AutoEncoder for Action Video Prediction

To synthesize a realistic action sequence based on a single human image,...

Xiaogang Xu, et al. ∙

research

∙ 07/17/2021

Looking Twice for Partial Clues: Weakly-supervised Part-Mentored Attention Network for Vehicle Re-Identification

Vehicle re-identification (Re-ID) is to retrieve images of the same vehi...

Lisha Tang, et al. ∙

research

∙ 06/01/2021

More Behind Your Electricity Bill: a Dual-DNN Approach to Non-Intrusive Load Monitoring

Non-intrusive load monitoring (NILM) is a well-known single-channel blin...

Yu Zhang, et al. ∙

research

∙ 05/17/2021

Multi-object Tracking with Tracked Object Bounding Box Association

The CenterTrack tracking algorithm achieves state-of-the-art tracking pe...

Nanyang Yang, et al. ∙

research

∙ 05/06/2021

Solve routing problems with a residual edge-graph attention neural network

For NP-hard combinatorial optimization problems, it is usually difficult...

Kun Lei, et al. ∙

research

∙ 05/04/2021

Motion Artifact Reduction in Quantitative Susceptibility Mapping using Deep Neural Network

An approach to reduce motion artifacts in Quantitative Susceptibility Ma...

Chao Li, et al. ∙

research

∙ 05/04/2021

Moving Towards Centers: Re-ranking with Attention and Memory for Re-identification

Re-ranking utilizes contextual information to optimize the initial ranki...

Yunhao Zhou, et al. ∙

research

∙ 04/26/2021

Ideology in Open Source Development

Open source development, to a great extent, is a type of social movement...

Yang Yue, et al. ∙

research

∙ 04/26/2021

Dense Point Prediction: A Simple Baseline for Crowd Counting and Localization

In this paper, we propose a simple yet effective crowd counting and loca...

Yi Wang, et al. ∙

research

∙ 04/22/2021

Learning Transferable 3D Adversarial Cloaks for Deep Trained Detectors

This paper presents a novel patch-based adversarial attack pipeline that...

Arman Maesumi, et al. ∙

research

∙ 04/13/2021

Machine-learned 3D Building Vectorization from Satellite Imagery

We propose a machine learning based approach for automatic 3D building r...

Yi Wang, et al. ∙

research

∙ 04/08/2021

Cross-status Communication and Project Outcomesin OSS Development A Language Style Matching Perspective

The success of an open source software (OSS) project requires effective ...

Yisi Han, et al. ∙

research

∙ 04/01/2021

Learning Deep Latent Subspaces for Image Denoising

Heterogeneity exists in most camera images. This heterogeneity manifests...

Yunhao Yang, et al. ∙

research

∙ 03/06/2021

NeRD: Neural Representation of Distribution for Medical Image Segmentation

We introduce Neural Representation of Distribution (NeRD) technique, a m...

Hang Zhang, et al. ∙

research

∙ 02/18/2021

A Comprehensive Review of Deep Learning-based Single Image Super-resolution

Image super-resolution (SR) is one of the vital image processing methods...

Syed Muhammad Arsalan Bashir, et al. ∙

research

∙ 12/11/2020

SEGSys: A mapping system for segmentation analysis in energy

Customer segmentation analysis can give valuable insights into the energ...

Xiufeng Liu, et al. ∙

research

∙ 11/30/2020

Rethinking and Designing a High-performing Automatic License Plate Recognition Approach

In this paper, we propose a real-time and accurate automatic license pla...

Yi Wang, et al. ∙

research

∙ 10/20/2020

Tongji University Undergraduate Team for the VoxCeleb Speaker Recognition Challenge2020

In this report, we discribe the submission of Tongji University undergra...

Shufan Shen, et al. ∙

research

∙ 10/16/2020

Ensembling Low Precision Models for Binary Biomedical Image Segmentation

Segmentation of anatomical regions of interest such as vessels or small ...

Tianyu Ma, et al. ∙

research

∙ 10/12/2020

Assessing Lesion Segmentation Bias of Neural Networks on Motion Corrupted Brain MRI

Patient motion during the magnetic resonance imaging (MRI) acquisition p...

Tejas Sudharshan Mathai, et al. ∙

research

∙ 09/29/2020

Geometric Loss for Deep Multiple Sclerosis lesion Segmentation

Multiple sclerosis (MS) lesions occupy a small fraction of the brain vol...

Hang Zhang, et al. ∙

research

∙ 09/13/2020

Efficient Folded Attention for 3D Medical Image Reconstruction and Segmentation

Recently, 3D medical image reconstruction (MIR) and segmentation (MIS) b...

Hang Zhang, et al. ∙

research

∙ 07/31/2020

Computer-aided Tumor Diagnosis in Automated Breast Ultrasound using 3D Detection Network

Automated breast ultrasound (ABUS) is a new and promising imaging modali...

Junxiong Yu, et al. ∙

research

∙ 07/28/2020

Extending LOUPE for K-space Under-sampling Pattern Optimization in Multi-coil MRI

The previously established LOUPE (Learning-based Optimization of the Und...

Jinwei Zhang, et al. ∙

research

∙ 07/25/2020

A Self-Training Approach for Point-Supervised Object Detection and Counting in Crowds

In this paper, we propose a novel self-training approach which enables a...

Yi Wang, et al. ∙

research

∙ 07/22/2020

Cache-enabling UAV Communications: Network Deployment and Resource Allocation

In this article, we investigate the content distribution in the hotspot ...

Tiankui Zhang, et al. ∙

research

∙ 06/25/2020

Can 3D Adversarial Logos Cloak Humans?

With the trend of adversarial attacks, researchers attempt to fool train...

Tianlong Chen, et al. ∙

Yi Wang

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