Nanjing University of Aeronautics and Astronautics

research

∙ 12/17/2019

Adaptive Densely Connected Super-Resolution Reconstruction

For a better performance in single image super-resolution(SISR), we pres...

Tangxin Xie, et al. ∙

research

∙ 04/25/2022

Video Frame Interpolation Based on Deformable Kernel Region

Video frame interpolation task has recently become more and more prevale...

Haoyue Tian, et al. ∙

research

∙ 12/13/2021

Semantically Contrastive Learning for Low-light Image Enhancement

Low-light image enhancement (LLE) remains challenging due to the unfavor...

Dong Liang, et al. ∙

research

∙ 03/27/2021

Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries

In addition to high accuracy, robustness is becoming increasingly import...

Kun-Peng Ning, et al. ∙

research

∙ 02/07/2020

Deep Robust Multilevel Semantic Cross-Modal Hashing

Hashing based cross-modal retrieval has recently made significant progre...

Ge Song, et al. ∙

research

∙ 05/07/2020

Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT

Chest computed tomography (CT) becomes an effective tool to assist the d...

Liang Sun, et al. ∙

research

∙ 06/11/2019

Deep Learning for Spatio-Temporal Data Mining: A Survey

With the fast development of various positioning techniques such as Glob...

Senzhang Wang, et al. ∙

research

∙ 08/03/2022

SSformer: A Lightweight Transformer for Semantic Segmentation

It is well believed that Transformer performs better in semantic segment...

Wentao Shi, et al. ∙

research

∙ 10/24/2020

Shared Space Transfer Learning for analyzing multi-site fMRI data

Multi-voxel pattern analysis (MVPA) learns predictive models from task-b...

Muhammad Yousefnezhad, et al. ∙

research

∙ 02/03/2022

HRBF-Fusion: Accurate 3D reconstruction from RGB-D data using on-the-fly implicits

Reconstruction of high-fidelity 3D objects or scenes is a fundamental re...

Yabin Xu, et al. ∙

research

∙ 03/27/2021

A Survey of Orthogonal Moments for Image Representation: Theory, Implementation, and Evaluation

Image representation is an important topic in computer vision and patter...

Shuren Qi, et al. ∙

research

∙ 01/18/2023

Representing Noisy Image Without Denoising

A long-standing topic in artificial intelligence is the effective recogn...

Shuren Qi, et al. ∙

research

∙ 12/29/2020

With False Friends Like These, Who Can Have Self-Knowledge?

Adversarial examples arise from excessive sensitivity of a model. Common...

Lue Tao, et al. ∙

research

∙ 08/12/2019

Visual and Semantic Prototypes-Jointly Guided CNN for Generalized Zero-shot Learning

In the process of exploring the world, the curiosity constantly drives h...

Chuanxing Geng, et al. ∙

research

∙ 08/05/2018

Multi-Objective Cognitive Model: a supervised approach for multi-subject fMRI analysis

In order to decode the human brain, Multivariate Pattern (MVP) classific...

Muhammad Yousefnezhad, et al. ∙

research

∙ 02/21/2020

On the Search for Feedback in Reinforcement Learning

This paper addresses the problem of learning the optimal feedback policy...

Ran Wang, et al. ∙

research

∙ 08/18/2019

Convolutional Neural Network with Median Layers for Denoising Salt-and-Pepper Contaminations

We propose a deep fully convolutional neural network with a new type of ...

Luming Liang, et al. ∙

research

∙ 08/01/2022

CSDN: Cross-modal Shape-transfer Dual-refinement Network for Point Cloud Completion

How will you repair a physical object with some missings? You may imagin...

Zhe Zhu, et al. ∙

research

∙ 04/12/2020

MLCVNet: Multi-Level Context VoteNet for 3D Object Detection

In this paper, we address the 3D object detection task by capturing mult...

Qian Xie, et al. ∙

research

∙ 08/31/2022

3DLG-Detector: 3D Object Detection via Simultaneous Local-Global Feature Learning

Capturing both local and global features of irregular point clouds is es...

Baian Chen, et al. ∙

research

∙ 09/05/2022

Unsupervised Domain Adaptation via Style-Aware Self-intermediate Domain

Unsupervised domain adaptation (UDA) has attracted considerable attentio...

Lianyu Wang, et al. ∙

research

∙ 06/09/2019

Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification

CNNs, RNNs, GCNs, and CapsNets have shown significant insights in repres...

Hao Peng, et al. ∙

research

∙ 11/27/2020

Robust and Natural Physical Adversarial Examples for Object Detectors

Recently, many studies show that deep neural networks (DNNs) are suscept...

Mingfu Xue, et al. ∙

research

∙ 09/15/2022

uChecker: Masked Pretrained Language Models as Unsupervised Chinese Spelling Checkers

The task of Chinese Spelling Check (CSC) is aiming to detect and correct...

Piji Li, et al. ∙

research

∙ 06/21/2021

Open-set Label Noise Can Improve Robustness Against Inherent Label Noise

Learning with noisy labels is a practically challenging problem in weakl...

Hongxin Wei, et al. ∙

research

∙ 02/09/2021

Provable Defense Against Delusive Poisoning

Delusive poisoning is a special kind of attack to obstruct learning, whe...

Lue Tao, et al. ∙

research

∙ 07/26/2022

Modeling the Social Influence of COVID-19 via Personalized Propagation with Deep Learning

Social influence prediction has permeated many domains, including market...

Yufei Liu, et al. ∙

research

∙ 07/02/2022

ImLoveNet: Misaligned Image-supported Registration Network for Low-overlap Point Cloud Pairs

Low-overlap regions between paired point clouds make the captured featur...

Honghua Chen, et al. ∙

research

∙ 01/13/2023

Knowledge Enhancement for Multi-Behavior Contrastive Recommendation

A well-designed recommender system can accurately capture the attributes...

Hongrui Xuan, et al. ∙

research

∙ 11/22/2022

A Survey on Backdoor Attack and Defense in Natural Language Processing

Deep learning is becoming increasingly popular in real-life applications...

Xuan Sheng, et al. ∙

research

∙ 09/05/2022

Uformer-ICS: A Specialized U-Shaped Transformer for Image Compressive Sensing

Recently, several studies have applied deep convolutional neural network...

Kuiyuan Zhang, et al. ∙

research

∙ 10/19/2022

CLIP-Driven Fine-grained Text-Image Person Re-identification

TIReID aims to retrieve the image corresponding to the given text query ...

Shuanglin Yan, et al. ∙

research

∙ 09/05/2022

PromptAttack: Prompt-based Attack for Language Models via Gradient Search

As the pre-trained language models (PLMs) continue to grow, so do the ha...

Yundi Shi, et al. ∙

research

∙ 03/02/2022

A Principled Design of Image Representation: Towards Forensic Tasks

Image forensics is a rising topic as the trustworthy multimedia content ...

Shuren Qi, et al. ∙

research

∙ 12/24/2019

Analysis of adaptive BDF2 scheme for diffusion equations

The variable two-step backward differentiation formula (BDF2) is revisit...

Hong-lin Liao, et al. ∙

research

∙ 06/12/2021

Cross-Subject Domain Adaptation for Multi-Frame EEG Images

Working memory (WM) is a basic part of human cognition, which plays an i...

Junfu Chen, et al. ∙

research

∙ 03/05/2022

A Similarity-based Framework for Classification Task

Similarity-based method gives rise to a new class of methods for multi-l...

Zhongchen Ma, et al. ∙

research

∙ 06/27/2019

Simple maximum-principle preserving time-stepping methods for time-fractional Allen-Cahn equation

Two fast L1 time-stepping methods, including the backward Euler and stab...

Bingquan Ji, et al. ∙

research

∙ 01/17/2022

Characterizing Sensor Leaks in Android Apps

While extremely valuable to achieve advanced functions, mobile phone sen...

Xiaoyu Sun, et al. ∙

research

∙ 01/30/2023

PointSmile: Point Self-supervised Learning via Curriculum Mutual Information

Self-supervised learning is attracting wide attention in point cloud pro...

Xin Li, et al. ∙

research

∙ 08/26/2021

Green Internet of Vehicles (IoV) in the 6G Era: Toward Sustainable Vehicular Communications and Networking

As one of the most promising applications in future Internet of Things, ...

Junhua Wang, et al. ∙

research

∙ 10/11/2017

Deep Hyperalignment

This paper proposes Deep Hyperalignment (DHA) as a regularized, deep ext...

Muhammad Yousefnezhad, et al. ∙

research

∙ 03/03/2019

CodeGRU: Context-aware Deep Learning with Gated Recurrent Unit for Source Code Modeling

Recently many NLP-based deep learning models have been applied to model ...

Yasir Hussain, et al. ∙

research

∙ 05/14/2019

A Graph-Based Decoding Model for Incomplete Multi-Subject fMRI Functional Alignment

As a successful application of multi-view learning, Hyperalignment and S...

Weida Li, et al. ∙

research

∙ 01/29/2018

Ensemble Neural Relation Extraction with Adaptive Boosting

Relation extraction has been widely studied to extract new relational fa...

Dongdong Yang, et al. ∙

research

∙ 09/04/2016

Decoding visual stimuli in human brain by using Anatomical Pattern Analysis on fMRI images

A universal unanswered question in neuroscience and machine learning is ...

Muhammad Yousefnezhad, et al. ∙

research

∙ 11/27/2020

3D Invisible Cloak

In this paper, we propose a novel physical stealth attack against the pe...

Mingfu Xue, et al. ∙

research

∙ 06/21/2020

Absolutely convergent fixed-point fast sweeping WENO methods for steady state of hyperbolic conservation laws

Fixed-point iterative sweeping methods were developed in the literature ...

Liang Li, et al. ∙

research

∙ 09/23/2019

A second-order and nonuniform time-stepping maximum-principle preserving scheme for time-fractional Allen-Cahn equations

In this work, we present a second-order nonuniform time-stepping scheme ...

Hong-lin Liao, et al. ∙

research

∙ 11/15/2021

Beep: Fine-grained Fix Localization by Learning to Predict Buggy Code Elements

Software Fault Localization refers to the activity of finding code eleme...

Shangwen Wang, et al. ∙

Nanjing University of Aeronautics and Astronautics

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