b'Jie Li'

research

∙ 05/23/2023

Dual-modality Smart Shoes for Quantitative Assessment of Hemiplegic Patients' Lower Limbs' Muscle Strength

Stroke can lead to the impaired motor ability of the patient's lower lim...

0 Huajun Long, et al. ∙

research

∙ 05/21/2023

Language Knowledge-Assisted Representation Learning for Skeleton-Based Action Recognition

How humans understand and recognize the actions of others is a complex n...

0 Haojun Xu, et al. ∙

research

∙ 05/04/2023

Tracking through Containers and Occluders in the Wild

Tracking objects with persistence in cluttered and dynamic environments ...

0 Basile Van Hoorick, et al. ∙

research

∙ 04/25/2023

Weakly-Supervised Temporal Action Localization with Bidirectional Semantic Consistency Constraint

Weakly Supervised Temporal Action Localization (WTAL) aims to classify a...

0 Guozhang Li, et al. ∙

research

∙ 04/07/2023

BS-GAT Behavior Similarity Based Graph Attention Network for Network Intrusion Detection

With the development of the Internet of Things (IoT), network intrusion ...

0 Yalu Wang, et al. ∙

research

∙ 04/05/2023

What's in a Name? Beyond Class Indices for Image Recognition

Existing machine learning models demonstrate excellent performance in im...

0 Kai Han, et al. ∙

research

∙ 03/26/2023

MRCN: A Novel Modality Restitution and Compensation Network for Visible-Infrared Person Re-identification

Visible-infrared person re-identification (VI-ReID), which aims to searc...

0 Yukang Zhang, et al. ∙

research

∙ 03/25/2023

Viewpoint Equivariance for Multi-View 3D Object Detection

3D object detection from visual sensors is a cornerstone capability of r...

3 Dian Chen, et al. ∙

research

∙ 03/16/2023

Integrated Design of Cooperative Area Coverage and Target Tracking with Multi-UAV System

This paper systematically studies the cooperative area coverage and targ...

0 Mengge Zhang, et al. ∙

research

∙ 02/15/2023

Adaptive incentive for cross-silo federated learning: A multi-agent reinforcement learning approach

Cross-silo federated learning (FL) is a typical FL that enables organiza...

0 Shijing Yuan, et al. ∙

research

∙ 02/07/2023

Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking

This work proposes an end-to-end multi-camera 3D multi-object tracking (...

0 Ziqi Pang, et al. ∙

research

∙ 02/02/2023

Predicting Molecule-Target Interaction by Learning Biomedical Network and Molecule Representations

The study of molecule-target interaction is quite important for drug dis...

0 Jinjiang Guo, et al. ∙

research

∙ 01/30/2023

Maximal co-occurrence nonoverlapping sequential rule mining

The aim of sequential pattern mining (SPM) is to discover potentially us...

0 Yan Li, et al. ∙

research

∙ 01/20/2023

ARcode: HPC Application Recognition Through Image-encoded Monitoring Data

Knowing HPC applications of jobs and analyzing their performance behavio...

0 Jie Li, et al. ∙

research

∙ 01/12/2023

Analyzing Resource Utilization in an HPC System: A Case Study of NERSC Perlmutter

The resource demands of HPC applications vary significantly. However, it...

0 Jie Li, et al. ∙

research

∙ 01/08/2023

Multi-scale multi-modal micro-expression recognition algorithm based on transformer

A micro-expression is a spontaneous unconscious facial muscle movement t...

0 Fengping Wang, et al. ∙

research

∙ 12/12/2022

Breaking the "Object" in Video Object Segmentation

The appearance of an object can be fleeting when it transforms. As eggs ...

3 Pavel Tokmakov, et al. ∙

research

∙ 12/01/2022

Testing linearity in semi-functional partially linear regression models

This paper proposes a Kolmogorov-Smirnov type statistic and a Cramér-von...

0 Yongzhen Feng, et al. ∙

research

∙ 11/08/2022

ShaSTA: Modeling Shape and Spatio-Temporal Affinities for 3D Multi-Object Tracking

Multi-object tracking is a cornerstone capability of any robotic system....

5 Tara Sadjadpour, et al. ∙

research

∙ 11/07/2022

Automatic Change-Point Detection in Time Series via Deep Learning

Detecting change-points in data is challenging because of the range of p...

0 Jie Li, et al. ∙

research

∙ 10/27/2022

Reconstruction of compressed spectral imaging based on global structure and spectral correlation

In this paper, a convolution sparse coding method based on global struct...

0 Pan Wang, et al. ∙

research

∙ 10/05/2022

Depth Is All You Need for Monocular 3D Detection

A key contributor to recent progress in 3D detection from single images ...

8 Dennis Park, et al. ∙

research

∙ 09/23/2022

Incorporation of Human Knowledge into Data Embeddings to Improve Pattern Significance and Interpretability

Embedding is a common technique for analyzing multi-dimensional data. Ho...

0 Jie Li, et al. ∙

research

∙ 09/21/2022

Seen to Unseen: When Fuzzy Inference System Predicts IoT Device Positioning Labels That Had Not Appeared in Training Phase

Situating at the core of Artificial Intelligence (AI), Machine Learning ...

0 Han Xu, et al. ∙

research

∙ 09/17/2022

Parameter-Efficient Conformers via Sharing Sparsely-Gated Experts for End-to-End Speech Recognition

While transformers and their variant conformers show promising performan...

1 Ye Bai, et al. ∙

research

∙ 07/25/2022

Seeking Subjectivity in Visual Emotion Distribution Learning

Visual Emotion Analysis (VEA), which aims to predict people's emotions t...

0 Jingyuan Yang, et al. ∙

research

∙ 07/12/2022

SpOT: Spatiotemporal Modeling for 3D Object Tracking

3D multi-object tracking aims to uniquely and consistently identify all ...

0 Colton Stearns, et al. ∙

research

∙ 07/12/2022

TransFA: Transformer-based Representation for Face Attribute Evaluation

Face attribute evaluation plays an important role in video surveillance ...

0 Decheng Liu, et al. ∙

research

∙ 07/03/2022

Digital-twin-enhanced metal tube bending forming real-time prediction method based on Multi-source-input MTL

As one of the most widely used metal tube bending methods, the rotary dr...

0 Chang Sun, et al. ∙

research

∙ 06/16/2022

A Simple Baseline for BEV Perception Without LiDAR

Building 3D perception systems for autonomous vehicles that do not rely ...

0 Adam W. Harley, et al. ∙

research

∙ 05/27/2022

Autonomous Smart Grid Fault Detection

Smart grid plays a crucial role for the smart society and the upcoming c...

0 Qiyue Li, et al. ∙

research

∙ 05/26/2022

On Collective Robustness of Bagging Against Data Poisoning

Bootstrap aggregating (bagging) is an effective ensemble protocol, which...

0 Ruoxin Chen, et al. ∙

research

∙ 05/20/2022

6G Network AI Architecture for Everyone-Centric Customized Services

Mobile communication standards were developed for enhancing transmission...

0 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...

0 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...

0 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...

5 Pavel Tokmakov, et al. ∙

research

∙ 03/24/2022

GraphCoCo: Graph Complementary Contrastive Learning

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

0 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...

0 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...

2 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...

0 Irene Viola, et al. ∙

research

∙ 12/21/2021

Input-Specific Robustness Certification for Randomized Smoothing

Although randomized smoothing has demonstrated high certified robustness...

6 Ruoxin Chen, et al. ∙

research

∙ 12/10/2021

Learning to Learn Transferable Attack

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

0 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...

0 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...

12 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...

10 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...

0 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...

0 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...

0 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...

6 Lixin Fan, et al. ∙

research

∙ 09/04/2021

Stimuli-Aware Visual Emotion Analysis

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

5 Jingyuan Yang, et al. ∙

Jie Li

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