b'Tencent QQ'

research

∙ 09/14/2020

Deforming the Loss Surface to Affect the Behaviour of the Optimizer

In deep learning, it is usually assumed that the optimization process is...

Liangming Chen, et al. ∙

research

∙ 01/07/2019

Blind Motion Deblurring with Cycle Generative Adversarial Networks

Blind motion deblurring is one of the most basic and challenging problem...

Quan Yuan, 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

∙ 12/01/2019

Topic-aware chatbot using Recurrent Neural Networks and Nonnegative Matrix Factorization

We propose a novel model for a topic-aware chatbot by combining the trad...

Yuchen Guo, et al. ∙

research

∙ 04/14/2022

Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis

Ultrasound (US) imaging is widely used for anatomical structure inspecti...

Jiamin Liang, et al. ∙

research

∙ 07/09/2020

Attention-based Residual Speech Portrait Model for Speech to Face Generation

Given a speaker's speech, it is interesting to see if it is possible to ...

Jianrong Wang, et al. ∙

research

∙ 02/28/2022

RestainNet: a self-supervised digital re-stainer for stain normalization

Color inconsistency is an inevitable challenge in computational patholog...

Bingchao Zhao, et al. ∙

research

∙ 08/11/2021

Medical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning

Medical imaging technologies, including computed tomography (CT) or ches...

Guangyi Liu, et al. ∙

research

∙ 09/01/2021

ImageTBAD: A 3D Computed Tomography Angiography Image Dataset for Automatic Segmentation of Type-B Aortic Dissection

Type-B Aortic Dissection (TBAD) is one of the most serious cardiovascula...

Zeyang Yao, 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

∙ 02/21/2021

A Hierarchical Conditional Random Field-based Attention Mechanism Approach for Gastric Histopathology Image Classification

In the Gastric Histopathology Image Classification (GHIC) tasks, which i...

Yixin Li, et al. ∙

research

∙ 06/09/2021

Salient Object Ranking with Position-Preserved Attention

Instance segmentation can detect where the objects are in an image, but ...

Hao Fang, et al. ∙

research

∙ 07/16/2021

EGC2: Enhanced Graph Classification with Easy Graph Compression

Graph classification plays a significant role in network analysis. It al...

Jinyin Chen, et al. ∙

research

∙ 03/21/2020

BiCANet: Bi-directional Contextual Aggregating Network for Image Semantic Segmentation

Exploring contextual information in convolution neural networks (CNNs) h...

Quan Zhou, et al. ∙

research

∙ 04/10/2020

Person Re-Identification via Active Hard Sample Mining

Annotating a large-scale image dataset is very tedious, yet necessary fo...

Xin Xu, et al. ∙

research

∙ 02/24/2021

SFANet: A Spectrum-aware Feature Augmentation Network for Visible-Infrared Person Re-Identification

Visible-Infrared person re-identification (VI-ReID) is a challenging mat...

Haojie Liu, et al. ∙

research

∙ 03/15/2021

Boosting ship detection in SAR images with complementary pretraining techniques

Deep learning methods have made significant progress in ship detection i...

Wei Bao, et al. ∙

research

∙ 04/21/2021

NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results

This paper reviews the first NTIRE challenge on quality enhancement of c...

Ren Yang, et al. ∙

research

∙ 02/07/2022

A comprehensive benchmark analysis for sand dust image reconstruction

Numerous sand dust image enhancement algorithms have been proposed in re...

Yazhong Si, et al. ∙

research

∙ 02/27/2022

Bayesian Robust Tensor Ring Model for Incomplete Multiway Data

Low-rank tensor completion aims to recover missing entries from the obse...

Zhenhao Huang, et al. ∙

research

∙ 04/23/2019

BIT: Biologically Inspired Tracker

Visual tracking is challenging due to image variations caused by various...

Bolun Cai, et al. ∙

research

∙ 07/09/2021

GGT: Graph-Guided Testing for Adversarial Sample Detection of Deep Neural Network

Deep Neural Networks (DNN) are known to be vulnerable to adversarial sam...

Zuohui Chen, et al. ∙

research

∙ 07/15/2021

Multi-Channel Auto-Encoders and a Novel Dataset for Learning Domain Invariant Representations of Histopathology Images

Domain shift is a problem commonly encountered when developing automated...

Andrew Moyes, et al. ∙

research

∙ 07/20/2020

Cross-View Image Synthesis with Deformable Convolution and Attention Mechanism

Learning to generate natural scenes has always been a daunting task in c...

Hao Ding, et al. ∙

research

∙ 09/25/2020

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results

This paper introduces the real image Super-Resolution (SR) challenge tha...

Pengxu Wei, et al. ∙

research

∙ 05/17/2021

Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report

Camera scene detection is among the most popular computer vision problem...

Andrey Ignatov, et al. ∙

research

∙ 01/10/2022

NFANet: A Novel Method for Weakly Supervised Water Extraction from High-Resolution Remote Sensing Imagery

The use of deep learning for water extraction requires precise pixel-lev...

Ming Lu, et al. ∙

research

∙ 04/20/2022

NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results

In this paper, we summarize the 1st NTIRE challenge on stereo image supe...

Longguang Wang, et al. ∙

research

∙ 05/26/2020

Efficient Use of heuristics for accelerating XCS-based Policy Learning in Markov Games

In Markov games, playing against non-stationary opponents with learning ...

Hao Chen, et al. ∙

research

∙ 02/03/2022

Dynamic Virtual Network Embedding Algorithm based on Graph Convolution Neural Network and Reinforcement Learning

Network virtualization (NV) is a technology with broad application prosp...

Peiying Zhang, et al. ∙

research

∙ 03/08/2022

Deep Multi-Branch Aggregation Network for Real-Time Semantic Segmentation in Street Scenes

Real-time semantic segmentation, which aims to achieve high segmentation...

Xi Weng, et al. ∙

research

∙ 01/30/2020

The Direction-Aware, Learnable, Additive Kernels and the Adversarial Network for Deep Floor Plan Recognition

This paper presents a new approach for the recognition of elements in fl...

Yuli Zhang, et al. ∙

research

∙ 04/20/2020

Study of Diffusion Normalized Least Mean M-estimate Algorithms

This work proposes diffusion normalized least mean M-estimate algorithm ...

Y. Yu, et al. ∙

research

∙ 07/31/2020

TEAM: We Need More Powerful Adversarial Examples for DNNs

Although deep neural networks (DNNs) have achieved success in many appli...

Yaguan Qian, et al. ∙

research

∙ 11/24/2021

Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation

Recent advances in path-based explainable recommendation systems have at...

Yicong Li, et al. ∙

research

∙ 07/17/2019

Multi-Adapter RGBT Tracking

The task of RGBT tracking aims to take the complementary advantages from...

Chenglong Li, et al. ∙

research

∙ 07/05/2020

Blind Inverse Gamma Correction with Maximized Differential Entropy

Unwanted nonlinear gamma distortion frequently occurs in a great diversi...

Yong Lee, et al. ∙

research

∙ 07/13/2021

Domain-Irrelevant Representation Learning for Unsupervised Domain Generalization

Domain generalization (DG) aims to help models trained on a set of sourc...

Xingxuan Zhang, et al. ∙

research

∙ 02/16/2022

A Survey of Semen Quality Evaluation in Microscopic Videos Using Computer Assisted Sperm Analysis

The Computer Assisted Sperm Analysis (CASA) plays a crucial role in male...

Wenwei Zhao, et al. ∙

research

∙ 04/12/2022

SwinNet: Swin Transformer drives edge-aware RGB-D and RGB-T salient object detection

Convolutional neural networks (CNNs) are good at extracting contexture f...

Zhengyi Liu, et al. ∙

research

∙ 04/14/2022

HASA: Hybrid Architecture Search with Aggregation Strategy for Echinococcosis Classification and Ovary Segmentation in Ultrasound Images

Different from handcrafted features, deep neural networks can automatica...

Jikuan Qian, et al. ∙

research

∙ 09/27/2021

Context-guided Triple Matching for Multiple Choice Question Answering

The task of multiple choice question answering (MCQA) refers to identify...

Xun Yao, et al. ∙

research

∙ 11/20/2021

Sparse Tensor-based Multiscale Representation for Point Cloud Geometry Compression

This study develops a unified Point Cloud Geometry (PCG) compression met...

Jianqiang Wang, et al. ∙

research

∙ 11/01/2018

Bi-GANs-ST for Perceptual Image Super-resolution

Image quality measurement is a critical problem for image super-resoluti...

Xiaotong Luo, et al. ∙

research

∙ 05/24/2020

Joint learning of interpretation and distillation

The extra trust brought by the model interpretation has made it an indis...

Jinchao Huang, et al. ∙

research

∙ 05/24/2020

High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling

Existing image inpainting methods often produce artifacts when dealing w...

Yu Zeng, et al. ∙

research

∙ 07/19/2021

VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results

Crowd counting on the drone platform is an interesting topic in computer...

Dawei Du, et al. ∙

research

∙ 08/17/2021

MV-TON: Memory-based Video Virtual Try-on network

With the development of Generative Adversarial Network, image-based virt...

Xiaojing Zhong, et al. ∙

research

∙ 01/10/2022

GBRS: An Unified Model of Pawlak Rough Set and Neighborhood Rough Set

Pawlak rough set and neighborhood rough set are the two most common roug...

Shuyin Xia, et al. ∙

research

∙ 02/03/2022

Resource Management and Security Scheme of ICPSs and IoT Based on VNE Algorithm

The development of Intelligent Cyber-Physical Systems (ICPSs) in virtual...

Peiying Zhang, et al. ∙

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