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09/14/2023
A Novel Local-Global Feature Fusion Framework for Body-weight Exercise Recognition with Pressure Mapping Sensors
We present a novel local-global feature fusion framework for body-weight...
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08/07/2023
Two-stage Early Prediction Framework of Remaining Useful Life for Lithium-ion Batteries
Early prediction of remaining useful life (RUL) is crucial for effective...
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08/07/2023
Worker Activity Recognition in Manufacturing Line Using Near-body Electric Field
Manufacturing industries strive to improve production efficiency and pro...
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08/01/2023
PressureTransferNet: Human Attribute Guided Dynamic Ground Pressure Profile Transfer using 3D simulated Pressure Maps
We propose PressureTransferNet, a novel method for Human Activity Recogn...
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07/21/2023
Selecting the motion ground truth for loose-fitting wearables: benchmarking optical MoCap methods
To help smart wearable researchers choose the optimal ground truth metho...
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07/20/2023
Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery
Recent advances in deep learning have significantly improved the perform...
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07/03/2023
SynthCal: A Synthetic Benchmarking Pipeline to Compare Camera Calibration Algorithms
Accurate camera calibration is crucial for various computer vision appli...
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06/24/2023
ClothFit: Cloth-Human-Attribute Guided Virtual Try-On Network Using 3D Simulated Dataset
Online clothing shopping has become increasingly popular, but the high r...
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06/07/2023
CaptAinGlove: Capacitive and Inertial Fusion-Based Glove for Real-Time on Edge Hand Gesture Recognition for Drone Control
We present CaptAinGlove, a textile-based, low-power (1.15Watts), privacy...
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06/02/2023
Chemical Property-Guided Neural Networks for Naphtha Composition Prediction
The naphtha cracking process heavily relies on the composition of naphth...
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05/22/2023
FieldHAR: A Fully Integrated End-to-end RTL Framework for Human Activity Recognition with Neural Networks from Heterogeneous Sensors
In this work, we propose an open-source scalable end-to-end RTL framewor...
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04/20/2023
SREL: Severity Rating Ensemble Learning for Non-Destructive Fault Diagnosis of Cu Interconnects using S-parameter Patterns
As operating frequencies and clock speeds in processors have increased o...
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02/24/2023
A Knowledge Distillation framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image
Morphological atlases are an important tool in organismal studies, and m...
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02/08/2023
InMyFace: Inertial and Mechanomyography-Based Sensor Fusion for Wearable Facial Activity Recognition
Recognizing facial activity is a well-understood (but non-trivial) compu...
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02/01/2023
PresSim: An End-to-end Framework for Dynamic Ground Pressure Profile Generation from Monocular Videos Using Physics-based 3D Simulation
Ground pressure exerted by the human body is a valuable source of inform...
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11/20/2022
AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation
We present a novel adversarial penalized self-knowledge distillation met...
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10/04/2022
Learning from the Best: Contrastive Representations Learning Across Sensor Locations for Wearable Activity Recognition
We address the well-known wearable activity recognition problem of havin...
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10/03/2022
Smart-Badge: A wearable badge with multi-modal sensors for kitchen activity recognition
Human health is closely associated with their daily behavior and environ...
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09/14/2022
TASKED: Transformer-based Adversarial learning for human activity recognition using wearable sensors via Self-KnowledgE Distillation
Wearable sensor-based human activity recognition (HAR) has emerged as a ...
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05/28/2022
Estimation of 3D Body Shape and Clothing Measurements from Frontal- and Side-view Images
The estimation of 3D human body shape and clothing measurements is cruci...
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03/21/2022
Human-Centric Artificial Intelligence Architecture for Industry 5.0 Applications
Human-centricity is the core value behind the evolution of manufacturing...
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10/23/2021
Adversarial Deep Feature Extraction Network for User Independent Human Activity Recognition
User dependence remains one of the most difficult general problems in Hu...
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09/26/2021
Generalized multiscale feature extraction for remaining useful life prediction of bearings with generative adversarial networks
Bearing is a key component in industrial machinery and its failure may l...
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07/01/2021
Supervised Segmentation with Domain Adaptation for Small Sampled Orbital CT Images
Deep neural networks (DNNs) have been widely used for medical image anal...
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11/20/2020
Sequential Targeting: an incremental learning approach for data imbalance in text classification
Classification tasks require a balanced distribution of data to ensure t...
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10/24/2020
Discriminative feature generation for classification of imbalanced data
The data imbalance problem is a frequent bottleneck in the classificatio...
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10/20/2020
Two-Stage Generative Adversarial Networks for Document Image Binarization with Color Noise and Background Removal
Document image enhancement and binarization methods are often used to im...
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08/26/2020
