b'Jie Zhao'

research

∙ 09/15/2023

Leveraging the Power of Data Augmentation for Transformer-based Tracking

Due to long-distance correlation and powerful pretrained models, transfo...

0 Jie Zhao, et al. ∙

research

∙ 07/26/2023

Utilizing Large Language Models for Natural Interface to Pharmacology Databases

The drug development process necessitates that pharmacologists undertake...

0 Hong Lu, et al. ∙

research

∙ 06/29/2023

End-to-end Reinforcement Learning for Online Coverage Path Planning in Unknown Environments

Coverage path planning is the problem of finding the shortest path that ...

0 Arvi Jonnarth, et al. ∙

research

∙ 05/29/2023

propnet: Propagating 2D Annotation to 3D Segmentation for Gastric Tumors on CT Scans

**Background:** Accurate 3D CT scan segmentation of gastric tumors is pi...

0 ZiFan Chen, et al. ∙

research

∙ 05/23/2023

NeuralMatrix: Moving Entire Neural Networks to General Matrix Multiplication for Efficient Inference

In this study, we introduce NeuralMatrix, a novel framework that enables...

0 Ruiqi Sun, et al. ∙

research

∙ 10/27/2022

Reinforced Question Rewriting for Conversational Question Answering

Conversational Question Answering (CQA) aims to answer questions contain...

0 Zhiyu Chen, et al. ∙

research

∙ 05/22/2022

Vision-based Anti-UAV Detection and Tracking

Unmanned aerial vehicles (UAV) have been widely used in various fields, ...

16 Jie Zhao, et al. ∙

research

∙ 05/17/2022

Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation

As one of the most challenging and practical segmentation tasks, open-wo...

7 Hexin Dong, et al. ∙

research

∙ 04/19/2022

Shape-Aware Monocular 3D Object Detection

The detection of 3D objects through a single perspective camera is a cha...

0 Wei Chen, et al. ∙

research

∙ 04/08/2022

Visible-Thermal UAV Tracking: A Large-Scale Benchmark and New Baseline

With the popularity of multi-modal sensors, visible-thermal (RGB-T) obje...

0 Pengyu Zhang, et al. ∙

research

∙ 03/16/2022

Multi-Scale Context-Guided Lumbar Spine Disease Identification with Coarse-to-fine Localization and Classification

Accurate and efficient lumbar spine disease identification is crucial fo...

4 ZiFan Chen, et al. ∙

research

∙ 03/10/2022

Online Deep Metric Learning via Mutual Distillation

Deep metric learning aims to transform input data into an embedding spac...

0 Gao-Dong Liu, et al. ∙

research

∙ 03/02/2022

Imitation of Manipulation Skills Using Multiple Geometries

Daily manipulation tasks are characterized by regular characteristics as...

0 Boyang Ti, et al. ∙

research

∙ 01/13/2022

Recursive Least Squares Policy Control with Echo State Network

The echo state network (ESN) is a special type of recurrent neural netwo...

0 Chunyuan Zhang, et al. ∙

research

∙ 10/28/2021

OneFlow: Redesign the Distributed Deep Learning Framework from Scratch

Deep learning frameworks such as TensorFlow and PyTorch provide a produc...

0 Jinhui Yuan, et al. ∙

research

∙ 09/29/2021

Unsupervised Domain Adaptation in Semantic Segmentation Based on Pixel Alignment and Self-Training

This paper proposes an unsupervised cross-modality domain adaptation app...

7 Hexin Dong, et al. ∙

research

∙ 09/25/2021

Contrastive Learning for Mitochondria Segmentation

Mitochondria segmentation in electron microscopy images is essential in ...

0 Zhili Li, et al. ∙

research

∙ 08/09/2021

Video Annotation for Visual Tracking via Selection and Refinement

Deep learning based visual trackers entail offline pre-training on large...

0 Kenan Dai, et al. ∙

research

∙ 04/08/2021

BEFD: Boundary Enhancement and Feature Denoising for Vessel Segmentation

Blood vessel segmentation is crucial for many diagnostic and research ap...

24 Mo Zhang, et al. ∙

research

∙ 02/26/2021

Efficient Client Contribution Evaluation for Horizontal Federated Learning

In federated learning (FL), fair and accurate measurement of the contrib...

0 Jie Zhao, et al. ∙

research

∙ 10/19/2020

Adversarial Training for Code Retrieval with Question-Description Relevance Regularization

Code retrieval is a key task aiming to match natural and programming lan...

0 Jie Zhao, et al. ∙

research

∙ 09/16/2020

High-Performance Mining of COVID-19 Open Research Datasets for Text Classification and Insights in Cloud Computing Environments

COVID-19 global pandemic is an unprecedented health crisis. Since the ou...

0 Jie Zhao, et al. ∙

research

∙ 07/04/2020

Jointly Modeling Motion and Appearance Cues for Robust RGB-T Tracking

In this study, we propose a novel RGB-T tracking framework by jointly mo...

1 Pengyu Zhang, et al. ∙

research

∙ 12/05/2019

Easy-to-Hard: Leveraging Simple Questions for Complex Question Generation

This paper makes one of the first efforts toward automatically generatin...

0 Jie Zhao, et al. ∙

research

∙ 11/22/2019

An End-to-End Framework for Cold Question Routing in Community Question Answering Services

Routing newly posted questions (a.k.a cold questions) to potential answe...

0 Jiankai Sun, et al. ∙

research

∙ 11/04/2019

PGU-net+: Progressive Growing of U-net+ for Automated Cervical Nuclei Segmentation

Automated cervical nucleus segmentation based on deep learning can effec...

18 Jie Zhao, et al. ∙

research

∙ 09/20/2019

Object grasping planning for the situation when soft and rigid objects are mixed together

In this paper, we propose a object detection method expressed as rotated...

0 Xiaoman Wang, et al. ∙

research

∙ 09/19/2019

Assembly of randomly placed parts realized by using only one robot arm with a general parallel-jaw gripper

In industry assembly lines, parts feeding machines are widely employed a...

5 Jie Zhao, et al. ∙

research

∙ 07/26/2019

Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images

Segmenting coronary arteries is challenging, as classic unsupervised met...

2 Fei Yu, et al. ∙

research

∙ 07/07/2019

ASCNet: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature Learning

Extracting multi-scale information is key to semantic segmentation. Howe...

7 Mo Zhang, et al. ∙

research

∙ 04/19/2019

Automated Segmentation of Pulmonary Lobes using Coordination-Guided Deep Neural Networks

The identification of pulmonary lobes is of great importance in disease ...

12 Wenjia Wang, et al. ∙

research

∙ 02/24/2019

Vision Based Picking System for Automatic Express Package Dispatching

This paper presents a vision based robotic system to handle the picking ...

0 Shengfan Wang, et al. ∙

research

∙ 02/24/2019

Efficient Fully Convolution Neural Network for Generating Pixel Wise Robotic Grasps With High Resolution Images

This paper presents an efficient neural network model to generate roboti...

0 Shengfan Wang, et al. ∙

research

∙ 12/03/2018

Automated Segmentation of Cervical Nuclei in Pap Smear Images using Deformable Multi-path Ensemble Model

Pap smear testing has been widely used for detecting cervical cancers ba...

0 Jie Zhao, et al. ∙

research

∙ 06/12/2018

Controlling spectral energies of all harmonics in programmable way using time-domain digital coding metasurface

Modern wireless communication is one of the most important information t...

0 Jie Zhao, et al. ∙

research

∙ 11/03/2012

Segmentation of ultrasound images of thyroid nodule for assisting fine needle aspiration cytology

The incidence of thyroid nodule is very high and generally increases wit...

0 Jie Zhao, et al. ∙

Jie Zhao

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