跳至主導覽
跳至搜尋
跳過主要內容
國立陽明交通大學研發優勢分析平台 首頁
English
中文
首頁
人員
單位
研究成果
計畫
獎項
活動
貴重儀器
影響
按專業知識、姓名或所屬機構搜尋
HuPR: A Benchmark for Human Pose Estimation Using Millimeter Wave Radar
Shih Po Lee, Niraj Prakash Kini,
Wen-Hsiao Peng
,
Ching-Wen Ma
, Jenq Neng Hwang
多媒體工程研究所
智慧與綠能產學研究所
研究成果
:
Paper
›
同行評審
總覽
指紋
指紋
深入研究「HuPR: A Benchmark for Human Pose Estimation Using Millimeter Wave Radar」主題。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Keyphrases
Human Pose Estimation
100%
Millimeter Wave Radar
100%
Radar Data
40%
Cross-modal
40%
MmWave Radar
40%
Network Applications
20%
Surveillance System
20%
Radio Frequency
20%
Radio Signal
20%
Frequency-based Approach
20%
Velocity Information
20%
Performance Estimation
20%
Preprocessing Techniques
20%
Point Cloud
20%
Human Body
20%
Feature Enhancement
20%
Signal Component
20%
Monocular Camera
20%
Privacy Concerns
20%
Radar Sensor
20%
Process Solutions
20%
RGB-D Camera
20%
Monocular RGB
20%
Heat Map
20%
Human Pose
20%
Radar-based
20%
Low-light Conditions
20%
Training Framework
20%
Graph Convolutional Network
20%
Self-attention Module
20%
2D Pose Estimation
20%
2D Keypoint
20%
Body Joints
20%
Cross Attention Module
20%
Annotation Effort
20%
Patient Room
20%
Pose Refinement
20%
Radar Feature
20%
Earth and Planetary Sciences
Radar Data
100%
Millimeter Wave
100%
Preprocessing
100%
Radio Frequency
50%
State of the Art
50%
Radio Signal
50%
Computer Science
Pose Estimation
100%
Millimeter Wave Radar
100%
Preprocessing
33%
Annotation
16%
Estimation Performance
16%
Signal Component
16%
Processing Method
16%
Privacy Concern
16%
Graph Convolutional Network
16%