Thông tin nhà nghiên cứu KH&CN

SuMa: A Subspace Mapping Approach for Complete and Effective Concept Erasure in Text-to-Image Diffusion Models

Supercharged One-step Text-to-Image Diffusion Models with Negative Prompts

SwiftEdit: Lightning Fast Text-Guided Image Editing via One-Step Diffusion

Any3DIS: Class-Agnostic 3D Instance Segmentation by 2D Mask Tracking

REM: A Scalable Reinforced Multi-Expert Framework for Multiplex Influence Maximization

Count what you want: exemplar identification and few-shot counting of human actions in the wild

Swiftbrush v2: Make your one-step diffusion model better than its teacher

Blur2blur: Blur conversion for unsupervised image deblurring on unknown domains

EFHQ: Multi-purpose ExtremePose-Face-HQ dataset

Open3dis: Open-vocabulary 3d instance segmentation with 2d mask guidance

Class-Agnostic Repetitive Action Counting Using Wearable Devices

Method and System for Training a Machine Learning model for A Point of Gaze Prediction

Virtual fusion with contrastive learning for single sensor-based activity recognition

Sign Language Recognition with Self-Learning Fusion Model

Federated few-shot learning for cough classification with edge devices

Slice&Dice: Recognizing food preparation activities using embedded accelerometers

A Dynamic Time Warping Approach To Real-Time Activity Recognition for Food Preparation

Towards a Pervasive Kitchen Infrastructure for Measuring Cooking Competence

Real-Time Fall Detection and Activity Recognition Using Low-Cost Wearable Sensors

The French Kitchen: Task-Based Learning in an Instrumented Kitchen

FoodBoard: Surface Contact Imaging for Food Recognition

A classifier based approach to real-time fall detection using low-cost wearable sensors

SigVer3D: Accelerometer Based Verification of 3-D Signatures on Mobile Devices.

Fresh Food Recognition Using Feature Fusion

MobiRAR: Real-Time Human Activity Recognition Using Mobile Devices

HyperCUT: Video Sequence From a Single Blurry Image Using Unsupervised Ordering

Hand gesture recognition from wrist-worn camera for human-machine interaction

Improving text recognition by combining visual and linguistic features of text

QC-StyleGAN - Quality Controllable Image Generation and Manipulation

Personalized Breath-Based Biometric Authentication With Wearable Multimodality

Human action recognition from inertial sensors with Transformer

Multi-task learning neural networks for breath sound detection and classification in pervasive healthcare

Combined Local and Global Features for Action Recognition from Motion Sensors

A pilot study on hand posture recognition from wrist-worn camera for human machine interaction

Landslide Detection with Unmanned Aerial Vehicles

Self-controlling photonic-on-chip networks with deep reinforcement learning

Real-Time Cough Detection and Monitoring Using Low-Cost Mobile Devices

Real-Time Traffic Activity Detection Using Mobile Devices

An Orientation Histogram-based Approach to Fall Detection Using Wearable Sensors

Motion Primitive Forests for Human Activity Recognition Using Wearable Sensors

Traffic Incident Recognition Using Empirical Deep Convolutional Neural Networks Model

e-Shoes: Smart Shoes for Unobtrusive Human Activity Recognition

Deep Learning for Human Visual Attention Recognition Using Transfer Learning

The Internet-of-Things based Fall Detection Using Fusion Feature

Delay-limited Protograph Low Density Parity Codes for Space-Time Block Codes

A Multi-modal Multi-view Dataset for Human Fall Analysis and Preliminary Investigation on Modality

Vietnamese Speaker Authentication Using Deep Models

The Internet-of-Things based Breath Detection Using Frequency Cepstral Feature Fusion

The Internet-of-Things based Human Gesture Recognition for Human Machine Interaction

Recognizing Hand Gestures for Controlling Home Appliances

Richly Activated - Adaptive Graph Convolutional Network for Human Activity Recognition

Multi-task Learning based Voice Verification with Triplet Loss

Rapid Specification and Automated Generation of Prompting Systems to Assist People with Dementia

Senscapsnet: Deep Neural Networks for Non-obtrusive Sensing based Human Activity Recognition

Detecting and Tracking Sinkholes Using Multiple-level Convolutional Neural Networks and Data Association

Incremental Learning for Autonomous Navigation of Mobile Robots based on Deep Reinforcement Learning

Gesture Recognition Using Wearable Sensors With Bi-Long Short Term Memory Convolutional Neural Networks

Combining Skeleton and Accelerometer Data for Human Fine-Grained Activity Recognition and Abnormal Behaviour Detection with Deep Temporal Convolutional Networks

Masked face recognition with Convolutional Neural networks and Local Binary patterns

A classifier based approach to real-time fall detection using low-cost wearable sensors

A Dynamic Time Warping Approach To Real-Time Activity Recognition for Food Preparation

A Multi-modal Multi-view Dataset for Human Fall Analysis and Preliminary Investigation on Modality

A pilot study on hand posture recognition from wrist-worn camera for human machine interaction

An Orientation Histogram-based Approach to Fall Detection Using Wearable Sensors

Combined Local and Global Features for Action Recognition from Motion Sensors

Combining Skeleton and Accelerometer Data for Human Fine-Grained Activity Recognition and Abnormal Behaviour Detection with Deep Temporal Convolutional Networks

Deep Learning for Human Visual Attention Recognition Using Transfer Learning

Delay-limited Protograph Low Density Parity Codes for Space-Time Block Codes

Detecting and Tracking Sinkholes Using Multiple-level Convolutional Neural Networks and Data Association

e-Shoes: Smart Shoes for Unobtrusive Human Activity Recognition

FoodBoard: Surface Contact Imaging for Food Recognition

Fresh Food Recognition Using Feature Fusion

Gesture Recognition Using Wearable Sensors With Bi-Long Short Term Memory Convolutional Neural Networks

Hand gesture recognition from wrist-worn camera for human-machine interaction

Human action recognition from inertial sensors with Transformer

HyperCUT: Video Sequence From a Single Blurry Image Using Unsupervised Ordering

Improving text recognition by combining visual and linguistic features of text

Incremental Learning for Autonomous Navigation of Mobile Robots based on Deep Reinforcement Learning

Landslide Detection with Unmanned Aerial Vehicles

Masked face recognition with Convolutional Neural networks and Local Binary patterns

MobiRAR: Real-Time Human Activity Recognition Using Mobile Devices

Motion Primitive Forests for Human Activity Recognition Using Wearable Sensors

Multi-task Learning based Voice Verification with Triplet Loss

Multi-task learning neural networks for breath sound detection and classification in pervasive healthcare

Personalized Breath-Based Biometric Authentication With Wearable Multimodality

QC-StyleGAN - Quality Controllable Image Generation and Manipulation

Rapid Specification and Automated Generation of Prompting Systems to Assist People with Dementia

Real-Time Cough Detection and Monitoring Using Low-Cost Mobile Devices

Real-Time Fall Detection and Activity Recognition Using Low-Cost Wearable Sensors

Real-Time Traffic Activity Detection Using Mobile Devices

Recognizing Hand Gestures for Controlling Home Appliances

Richly Activated - Adaptive Graph Convolutional Network for Human Activity Recognition

Self-controlling photonic-on-chip networks with deep reinforcement learning

Senscapsnet: Deep Neural Networks for Non-obtrusive Sensing based Human Activity Recognition

SigVer3D: Accelerometer Based Verification of 3-D Signatures on Mobile Devices.

Slice&Dice: Recognizing food preparation activities using embedded accelerometers

The French Kitchen: Task-Based Learning in an Instrumented Kitchen

The Internet-of-Things based Breath Detection Using Frequency Cepstral Feature Fusion

The Internet-of-Things based Fall Detection Using Fusion Feature

The Internet-of-Things based Human Gesture Recognition for Human Machine Interaction

Towards a Pervasive Kitchen Infrastructure for Measuring Cooking Competence

Traffic Incident Recognition Using Empirical Deep Convolutional Neural Networks Model

Vietnamese Speaker Authentication Using Deep Models

Nghiên cứu chế tạo thiết bị đeo thông minh nhận dạng hoạt động của người (iShoes)

Hệ thống phát hiện và cảnh báo vật cản trợ giúp người khiếm thị sử dụng thị giác máy tính

Nghiên cứu xây dựng thử nghiệm hệ thống phát hiện người ngã bằng phương pháp kết hợp nhiều cảm biến

Nghiên cứu xây dựng thử nghiệm hệ thống nhận dạng cử chỉ tay người dựa trên nền tảng IoT

CACS-LMIMO: Giải giải pháp mã sửa lỗi tiệm cận dung lượng kênh cho hệ thống MIMO lớn

Nghiên cứu phát triển công nghệ xử lý và truyền dẫn dữ liệu tốc độ cao ứng dụng kỹ thuật truyền thông quang vô tuyến cho các hệ thống thông tin vệ tinh

Nghiên cứu thiết kế chế tạo hệ thống tự động trợ giúp theo dõi hô hấp và vận động bất thường dựa trên nền tảng Internet vạn vật (IoT-Internet of Things)

Nghiên cứu xây dựng hệ thống tự động phát hiện cảnh báo và ngăn chặn tấn công mạng nhằm vào các thiết bị IoT cỡ nhỏ sử dụng mạng lưới tác tử thông minh

Nghiên cứu chế tạo hệ thống mạng chíp quang tử cho trí tuệ nhân tạo

Nghiên cứu chế tạo thiết bị hỗ trợ theo dõi một số triệu chứng bệnh hô hấp và phát hiện vận động bất thường dựa trên nền tảng Internet kết nối vạn vật

Phát hiện người ngã bằng dữ liệu cảm biến không đồng nhất

Nghiên cứu, chế tạo đôi giầy thông minh nhận dạng hoạt động của người

Nhận dạng hoạt động người tham gia giao thông sử dụng thiết bị di động

Phát hiện và theo dõi ho sử dụng cảm biến đeo

Balance@Home

Nghiên cứu chế tạo Bếp thông minh

Balance@Home

Nghiên cứu chế tạo Bếp thông minh

Nghiên cứu chế tạo hệ thống mạng chíp quang tử cho trí tuệ nhân tạo

Nhận dạng hoạt động người tham gia giao thông sử dụng thiết bị di động

Phát hiện người ngã bằng dữ liệu cảm biến không đồng nhất

Phát hiện và theo dõi ho sử dụng cảm biến đeo