b'Jie Li'

research

∙ 05/20/2022

6G Network AI Architecture for Everyone-Centric Customized Services

Mobile communication standards were developed for enhancing transmission...

Yang Yang, et al. ∙

research

∙ 05/12/2022

A Smart Contract based Crowdfunding Mechanism for Hierarchical Federated Learning

Hierarchical Federated Learning (HFL) is introduced as a promising techn...

Hongze Liu, et al. ∙

research

∙ 05/03/2022

Private Matrix Multiplication From MDS-Coded Storage With Colluding Servers

In this paper, we study the two problems of Private and Secure Matrix Mu...

Jinbao Zhu, et al. ∙

research

∙ 04/04/2022

Object Permanence Emerges in a Random Walk along Memory

This paper proposes a self-supervised objective for learning representat...

Pavel Tokmakov, et al. ∙

research

∙ 03/24/2022

GraphCoCo: Graph Complementary Contrastive Learning

Graph Contrastive Learning (GCL) has shown promising performance in grap...

Jiawei Sun, 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

∙ 01/29/2022

Spherical Convolution empowered FoV Prediction in 360-degree Video Multicast with Limited FoV Feedback

Field of view (FoV) prediction is critical in 360-degree video multicast...

Jie Li, et al. ∙

research

∙ 01/19/2022

On the impact of VR assessment on the Quality of Experience of Highly Realistic Digital Humans

Fuelled by the increase in popularity of virtual and augmented reality a...

Irene Viola, et al. ∙

research

∙ 12/21/2021

Input-Specific Robustness Certification for Randomized Smoothing

Although randomized smoothing has demonstrated high certified robustness...

Ruoxin Chen, et al. ∙

research

∙ 12/10/2021

Learning to Learn Transferable Attack

Transfer adversarial attack is a non-trivial black-box adversarial attac...

Shuman Fang, et al. ∙

research

∙ 12/08/2021

Fully Attentional Network for Semantic Segmentation

Recent non-local self-attention methods have proven to be effective in c...

Qi Song, et al. ∙

research

∙ 12/04/2021

Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides

Objectives: To develop and validate a deep learning (DL)-based primary t...

Feng Xu, et al. ∙

research

∙ 11/16/2021

Image-specific Convolutional Kernel Modulation for Single Image Super-resolution

Recently, deep-learning-based super-resolution methods have achieved exc...

Yuanfei Huang, et al. ∙

research

∙ 11/04/2021

A QoE Model in Point Cloud Video Streaming

Point cloud video has been widely used by augmented reality (AR) and vir...

Jie Li, et al. ∙

research

∙ 10/27/2021

Denoised Non-Local Neural Network for Semantic Segmentation

The non-local network has become a widely used technique for semantic se...

Qi Song, et al. ∙

research

∙ 10/25/2021

Bone Marrow Cell Recognition: Training Deep Object Detection with A New Loss Function

For a long time, bone marrow cell morphology examination has been an ess...

Dehao Huang, et al. ∙

research

∙ 09/27/2021

FedIPR: Ownership Verification for Federated Deep Neural Network Models

Federated learning models must be protected against plagiarism since the...

Lixin Fan, et al. ∙

research

∙ 09/04/2021

Stimuli-Aware Visual Emotion Analysis

Visual emotion analysis (VEA) has attracted great attention recently, du...

Jingyuan Yang, et al. ∙

research

∙ 09/01/2021

An Integrated Framework for the Heterogeneous Spatio-Spectral-Temporal Fusion of Remote Sensing Images

Image fusion technology is widely used to fuse the complementary informa...

Menghui Jiang, et al. ∙

research

∙ 08/26/2021

LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision

Computer vision tasks such as object detection and semantic/instance seg...

Zhijian Liu, et al. ∙

research

∙ 08/13/2021

Is Pseudo-Lidar needed for Monocular 3D Object detection?

Recent progress in 3D object detection from single images leverages mono...

Dennis Park, et al. ∙

research

∙ 08/13/2021

Coupling Model-Driven and Data-Driven Methods for Remote Sensing Image Restoration and Fusion

In the fields of image restoration and image fusion, model-driven method...

Huanfeng Shen, et al. ∙

research

∙ 07/31/2021

A Dynamic 3D Spontaneous Micro-expression Database: Establishment and Evaluation

Micro-expressions are spontaneous, unconscious facial movements that sho...

Fengping Wang, et al. ∙

research

∙ 07/27/2021

Real-time Keypoints Detection for Autonomous Recovery of the Unmanned Ground Vehicle

The combination of a small unmanned ground vehicle (UGV) and a large unm...

Jie Li, et al. ∙

research

∙ 07/22/2021

BGP-Multipath Routing in the Internet

BGP-Multipath (BGP-M) is a multipath routing technique for load balancin...

Jie Li, et al. ∙

research

∙ 07/18/2021

Fully Polarimetric SAR and Single-Polarization SAR Image Fusion Network

The data fusion technology aims to aggregate the characteristics of diff...

Liupeng Lin, et al. ∙

research

∙ 07/16/2021

A Generic Transformation to Generate MDS Storage Codes with δ-Optimal Access Property

For high-rate maximum distance separable (MDS) codes, most of them are d...

YI LIU, et al. ∙

research

∙ 06/29/2021

IMENet: Joint 3D Semantic Scene Completion and 2D Semantic Segmentation through Iterative Mutual Enhancement

3D semantic scene completion and 2D semantic segmentation are two tightl...

Jie Li, et al. ∙

research

∙ 06/23/2021

A Circular-Structured Representation for Visual Emotion Distribution Learning

Visual Emotion Analysis (VEA) has attracted increasing attention recentl...

Jingyuan Yang, et al. ∙

research

∙ 06/21/2021

Improved Private and Secure Distributed (Batch) Matrix Multiplication

In this paper, we study the problem of distributed matrix multiplication...

Jie Li, et al. ∙

research

∙ 06/19/2021

GPLA-12: An Acoustic Signal Dataset of Gas Pipeline Leakage

In this paper, we introduce a new acoustic leakage dataset of gas pipeli...

Jie Li, et al. ∙

research

∙ 06/10/2021

Efficient Recovery of a Shared Secret via Cooperation: Applications to SDMM and PIR

This work considers the problem of privately outsourcing the computation...

Jie Li, et al. ∙

research

∙ 06/08/2021

Hierarchical Lovász Embeddings for Proposal-free Panoptic Segmentation

Panoptic segmentation brings together two separate tasks: instance and s...

Tommi Kerola, et al. ∙

research

∙ 05/16/2021

Semi-supervised Contrastive Learning with Similarity Co-calibration

Semi-supervised learning acts as an effective way to leverage massive un...

Yuhang Zhang, et al. ∙

research

∙ 05/03/2021

Black-Box Dissector: Towards Erasing-based Hard-Label Model Stealing Attack

Model stealing attack aims to create a substitute model that steals the ...

Yixu Wang, et al. ∙

research

∙ 04/24/2021

Exploring Multi-dimensional Data via Subset Embedding

Multi-dimensional data exploration is a classic research topic in visual...

Peng Xie, et al. ∙

research

∙ 04/12/2021

Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfer

Artistic style transfer aims at migrating the style from an example imag...

Tianwei Lin, et al. ∙

research

∙ 04/11/2021

Towards SocialVR: Evaluating a Novel Technology for Watching Videos Together

Social VR enables people to interact over distance with others in real-t...

Mario Montagud, et al. ∙

research

∙ 03/30/2021

Geometric Unsupervised Domain Adaptation for Semantic Segmentation

Simulators can efficiently generate large amounts of labeled synthetic d...

Vitor Guizilini, et al. ∙

research

∙ 03/29/2021

Transitive Learning: Exploring the Transitivity of Degradations for Blind Super-Resolution

Being extremely dependent on the iterative estimation and correction of ...

Yuanfei Huang, et al. ∙

research

∙ 03/26/2021

Learning to Track with Object Permanence

Tracking by detection, the dominant approach for online multi-object tra...

Pavel Tokmakov, et al. ∙

research

∙ 03/13/2021

Performance Analysis of Multipath BGP

Multipath BGP (M-BGP) allows a BGP router to install multiple 'equally-g...

Jie Li, et al. ∙

research

∙ 03/09/2021

Approximate Optimal Filter for Linear Gaussian Time-invariant Systems

State estimation is critical to control systems, especially when the sta...

Kaiming Tang, et al. ∙

research

∙ 02/23/2021

Mixed Policy Gradient

Reinforcement learning (RL) has great potential in sequential decision-m...

Yang Guan, et al. ∙

research

∙ 02/09/2021

Real-time tracking of COVID-19 and coronavirus research updates through text mining

The novel coronavirus (SARS-CoV-2) which causes COVID-19 is an ongoing p...

Yutong Jin, et al. ∙

research

∙ 02/08/2021

Enhance Information Propagation for Graph Neural Network by Heterogeneous Aggregations

Graph neural networks are emerging as continuation of deep learning succ...

Dawei Leng, et al. ∙

research

∙ 02/07/2021

DPointNet: A Density-Oriented PointNet for 3D Object Detection in Point Clouds

For current object detectors, the scale of the receptive field of featur...

Jie Li, et al. ∙

research

∙ 01/28/2021

Heterogeneous Graph based Deep Learning for Biomedical Network Link Prediction

Multi-scale biomedical knowledge networks are expanding with emerging ex...

Jinjiang Guo, et al. ∙

research

∙ 01/13/2021

Proxemics and Social Interactions in an Instrumented Virtual Reality Workshop

Virtual environments (VEs) can create collaborative and social spaces, w...

Julie Williamson, et al. ∙

research

∙ 01/10/2021

Curvature-based Feature Selection with Application in Classifying Electronic Health Records

Electronic Health Records (EHRs) are widely applied in healthcare facili...

Zheming Zuo, et al. ∙

Jie Li

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