b'Jie Liu'

research

∙ 07/01/2022

Multi-features based Semantic Augmentation Networks for Named Entity Recognition in Threat Intelligence

Extracting cybersecurity entities such as attackers and vulnerabilities ...

Peipei Liu, et al. ∙

research

∙ 06/30/2022

Multiple Targets Directed Greybox Fuzzing

Directed greybox fuzzing (DGF) can quickly discover or reproduce bugs in...

Hongliang Liang, et al. ∙

research

∙ 06/24/2022

Towards Effective Depthwise Convolutions on ARMv8 Architecture

Depthwise convolutions are widely used in lightweight convolutional neur...

Ruochen Hao, et al. ∙

research

∙ 05/15/2022

Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection

Growing interests in RGB-D salient object detection (RGB-D SOD) have bee...

Wei Ji, et al. ∙

research

∙ 04/22/2022

Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation

The key challenge for few-shot semantic segmentation (FSS) is how to tai...

Jie Liu, et al. ∙

research

∙ 04/18/2022

Fast and Memory-Efficient Network Towards Efficient Image Super-Resolution

Runtime and memory consumption are two important aspects for efficient i...

Zongcai Du, et al. ∙

research

∙ 03/29/2022

SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation

This paper studies a practical domain adaptive (DA) semantic segmentatio...

Xiaoqing Guo, et al. ∙

research

∙ 03/16/2022

Open Set Recognition using Vision Transformer with an Additional Detection Head

Deep neural networks have demonstrated prominent capacities for image cl...

Feiyang Cai, et al. ∙

research

∙ 03/15/2022

Cost-effective BlackWater Raft on Highly Unreliable Nodes at Scale Out

The Raft algorithm maintains strong consistency across data replicas in ...

Zichen Xu, et al. ∙

research

∙ 02/13/2022

Application of Color Block Code in Image Scaling

Aiming at the high cost of embedding annotation watermark in a narrow sm...

Hao Wang, et al. ∙

research

∙ 02/13/2022

Privacy protection based on mask template

Powerful recognition algorithms are widely used in the Internet or impor...

Hao Wang, et al. ∙

research

∙ 02/05/2022

A practical algorithm to minimize the overall error in FEM computations

Using the standard finite element method (FEM) to solve general partial ...

Jie Liu, et al. ∙

research

∙ 12/07/2021

Cross-domain User Preference Learning for Cold-start Recommendation

Cross-domain cold-start recommendation is an increasingly emerging issue...

Huiling Zhou, et al. ∙

research

∙ 11/27/2021

AdaDM: Enabling Normalization for Image Super-Resolution

Normalization like Batch Normalization (BN) is a milestone technique to ...

Jie Liu, et al. ∙

research

∙ 11/24/2021

Auto robust relative radiometric normalization via latent change noise modelling

Relative radiometric normalization(RRN) of different satellite images of...

Shiqi Liu, et al. ∙

research

∙ 11/09/2021

Approaching the Limit of Image Rescaling via Flow Guidance

Image downscaling and upscaling are two basic rescaling operations. Once...

Shang Li, et al. ∙

research

∙ 09/25/2021

NUMA-aware FFT-based Convolution on ARMv8 Many-core CPUs

Convolutional Neural Networks (CNNs), one of the most representative alg...

Xiandong Huang, et al. ∙

research

∙ 09/24/2021

Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans

Accurately segmenting teeth and identifying the corresponding anatomical...

Tai-Hsien Wu, et al. ∙

research

∙ 08/30/2021

Numerical Eigensolver for Solving Eigenmodes of Cavity Resonators Filled With both Electric and Magnetic Lossy, Anisotropic Media

This article presents the numerical eigensolver to find the resonant fre...

Wei Jiang, et al. ∙

research

∙ 08/29/2021

Edge-Cloud Collaborated Object Detection via Difficult-Case Discriminator

As one of the basic tasks of computer vision, object detection has been ...

Zhiqiang Cao, et al. ∙

research

∙ 07/06/2021

From General to Specific: Online Updating for Blind Super-Resolution

Most deep learning-based super-resolution (SR) methods are not image-spe...

Shang Li, et al. ∙

research

∙ 05/20/2021

Anchor-based Plain Net for Mobile Image Super-Resolution

Along with the rapid development of real-world applications, higher requ...

Zongcai Du, et al. ∙

research

∙ 05/17/2021

Real-Time Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2021 Challenge: Report

Image super-resolution is one of the most popular computer vision proble...

Andrey Ignatov, et al. ∙

research

∙ 04/16/2021

LAI Estimation of Cucumber Crop Based on Improved Fully Convolutional Network

LAI (Leaf Area Index) is of great importance for crop yield estimation i...

Weiqi Shu, et al. ∙

research

∙ 03/13/2021

Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction

Aspect sentiment triplet extraction (ASTE), which aims to identify aspec...

Shaowei Chen, et al. ∙

research

∙ 03/01/2021

M6: A Chinese Multimodal Pretrainer

In this work, we construct the largest dataset for multimodal pretrainin...

Junyang Lin, et al. ∙

research

∙ 02/18/2021

Truncation-Free Matching System for Display Advertising at Alibaba

Matching module plays a critical role in display advertising systems. Wi...

Jin Li, et al. ∙

research

∙ 01/05/2021

High Precision Medicine Bottles Vision Online Inspection System and Classification Based on Multi-Features and Ensemble Learning via Independence Test

To address the problem of online automatic inspection of drug liquid bot...

Le Ma, et al. ∙

research

∙ 12/31/2020

Colonoscopy Polyp Detection: Domain Adaptation From Medical Report Images to Real-time Videos

Automatic colorectal polyp detection in colonoscopy video is a fundament...

Zhi-Qin Zhan, et al. ∙

research

∙ 12/25/2020

Inception Convolution with Efficient Dilation Search

Dilation convolution is a critical mutant of standard convolution neural...

Jie Liu, et al. ∙

research

∙ 10/27/2020

The item selection problem for user cold-start recommendation

When a new user just signs up on a website, we usually have no informati...

Yitong Meng, et al. ∙

research

∙ 10/26/2020

XLBoost-Geo: An IP Geolocation System Based on Extreme Landmark Boosting

IP geolocation aims at locating the geographical position of Internet de...

Yucheng Wang, et al. ∙

research

∙ 10/21/2020

Adaptive Gradient Method with Resilience and Momentum

Several variants of stochastic gradient descent (SGD) have been proposed...

Jie Liu, et al. ∙

research

∙ 10/15/2020

Progressive Defense Against Adversarial Attacks for Deep Learning as a Service in Internet of Things

Nowadays, Deep Learning as a service can be deployed in Internet of Thin...

Ling Wang, et al. ∙

research

∙ 09/24/2020

Residual Feature Distillation Network for Lightweight Image Super-Resolution

Recent advances in single image super-resolution (SISR) explored the pow...

Jie Liu, et al. ∙

research

∙ 09/15/2020

AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results

This paper reviews the AIM 2020 challenge on efficient single image supe...

Kai Zhang, et al. ∙

research

∙ 09/07/2020

Supporting the Problem-Solving Loop: Designing Highly Interactive Optimisation Systems

Efficient optimisation algorithms have become important tools for findin...

Jie Liu, et al. ∙

research

∙ 08/26/2020

Adaptive Neural Network-Based Approximation to Accelerate Eulerian Fluid Simulation

The Eulerian fluid simulation is an important HPC application. The neura...

Wenqian Dong, et al. ∙

research

∙ 08/16/2020

Poet: Product-oriented Video Captioner for E-commerce

In e-commerce, a growing number of user-generated videos are used for pr...

Shengyu Zhang, et al. ∙

research

∙ 07/27/2020

Three Numerical Eigensolvers for 3-D Cavity Resonators Filled With Anisotropic and Nonconductive Media

This paper mainly investigates the classic resonant cavity problem with ...

Wei Jiang, et al. ∙

research

∙ 05/24/2020

Deep Convolutional Neural Network-based Bernoulli Heatmap for Head Pose Estimation

Head pose estimation is a crucial problem for many tasks, such as driver...

Zhongxu Hu, et al. ∙

research

∙ 05/13/2020

Triaging moderate COVID-19 and other viral pneumonias from routine blood tests

The COVID-19 is sweeping the world with deadly consequences. Its contagi...

Forrest Sheng Bao, et al. ∙

research

∙ 05/12/2020

Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error

We study the L_1-regularized maximum likelihood estimator/estimation (ML...

Sinong Geng, et al. ∙

research

∙ 05/05/2020

Nanotechnology-inspired Information Processing Systems of the Future

Nanoscale semiconductor technology has been a key enabler of the computi...

Randy Bryant, et al. ∙

research

∙ 04/05/2020

Semantics of the Unwritten

The semantics of a text is manifested not only by what is read, but also...

He Bai, et al. ∙

research

∙ 04/01/2020

Computational Performance of a Germline Variant Calling Pipeline for Next Generation Sequencing

With the booming of next generation sequencing technology and its implem...

Jie Liu, et al. ∙

research

∙ 03/30/2020

InterBERT: Vision-and-Language Interaction for Multi-modal Pretraining

Multi-modal pretraining for learning high-level multi-modal representati...

Junyang Lin, et al. ∙

research

∙ 03/03/2020

FLAME: A Self-Adaptive Auto-labeling System for Heterogeneous Mobile Processors

How to accurately and efficiently label data on a mobile device is criti...

Jie Liu, et al. ∙

research

∙ 02/08/2020

CTM: Collaborative Temporal Modeling for Action Recognition

With the rapid development of digital multimedia, video understanding ha...

Qian Liu, et al. ∙

research

∙ 02/07/2020

iqiyi Submission to ActivityNet Challenge 2019 Kinetics-700 challenge: Hierarchical Group-wise Attention

In this report, the method for the iqiyi submission to the task of Activ...

Qian Liu, et al. ∙

Jie Liu

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