Ryo Hachiuma
Scholar

Ryo Hachiuma

Google Scholar ID: W1KPqGEAAAAJ
NVIDIA
Computer VisionMachine Learning
Citations & Impact
All-time
Citations
896
 
H-index
15
 
i10-index
23
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Paper 'Unified Keypoint-based Action Recognition Framework via Structured Keypoint Pooling' accepted at CVPR 2023.
  • Paper 'Prompt-Guided Zero-Shot Anomaly Action Recognition using Pretrained Deep Skeleton Features' accepted at CVPR 2023.
  • Paper 'Silhouette-based Synthetic Data Generation for 3D Human Pose Estimation with a Single Wrist-mounted 360° Camera' accepted at ICIP 2021 (Acceptance rate: 45%).
  • Paper 'Toward Unsupervised 3D Point Cloud Anomaly Detection using Variational Autoencoder' accepted at ICIP 2021 (Acceptance rate: 45%).
  • Paper 'Single-modal Incremental Terrain Clustering from Self-Supervised Audio-Visual Feature Learning' accepted at ICPR 2020 (Acceptance rate: 52%).
  • Paper 'Deep Selection: A Fully Supervised Camera Selection Network for Surgery Recordings' accepted at MICCAI 2020 (Acceptance rate: About 30%).
  • Paper 'DetectFusion: Detecting and Segmenting Both Known and Unknown Dynamic Objects in Real-time SLAM' accepted at BMVC 2019 spotlight session (Acceptance rate: 8%).
Research Experience
  • Serving as a research scientist at NVIDIA Research.
Background
  • Currently a research scientist at NVIDIA Research in Taiwan. Interested in video understanding and V&L.
Miscellany
  • Based in Tokyo, Japan; contactable via Email, ResearchGate, Twitter, LinkedIn, Github, and Google Scholar.
Co-authors
0 total
Co-authors: 0 (list not available)