Scholar
Quoc-Huy Trinh
Google Scholar ID: VQwSY1gAAAAJ
Aalto University
Citations & Impact
Citations
174
H-index
8
i10-index
6
Publications
20
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- - Publications:
- * 2025: Upcoming papers include CMATalk, PolypDB, Sing-On-Your-Beat, NeIn, etc.
- * 2024: Validating polyp and instrument segmentation methods in colonoscopy, SAM-EG, Pose-to-Human (P2H), PDGS, KDAS, Pose Knowledge distill guidance, EAPC, etc.
- * 2023: ALGNet, SpeechSyncNet, An objective validation of polyp and instrument segmentation methods, Graph for Transformer Feature, M2UNet, Meta-Polyp, Tiny convolution contextual neural network, PEFNet, etc.
- * 2022: Multi Kernel Positional Embedding ConvNeXt, Ensemble of Deep Neural Networks for Rice Leaf Disease Classification (Best paper award), Res-Dense Net for 3D Covid Chest CT-Scan Classification, EfficientNet for Brain-Lesion Classification, etc.
Research Experience
- - Research in Computer Vision and Medical Imaging
- - Research in Music Generation
- - Research in Face Biometric
- - Research in Graph Representation Learning
- - Research in Re-Identification embedding model
- - Research in Talking Head
Education
- - Master's Degree: Computer Science at Aalto University (GPA: 4.6/5)
- - Visiting Researcher: Northwestern University
- - Bachelor's Degree: Honor Program in Information Technology at University of Science, VNU-HCM (GPA: 3.58/4.0 - thesis 4.0/4.0)
- - High School: Le Hong Phong highschool for the gifted
Background
- - Research Interests: Computer Vision, Medical Imaging, Music Generation
- - Other Interests: Signal Processing, LLM, VLM, VLA, Diffusion for Robot Policy Control, Face Biometric
- - Background: Vietnamese researcher, currently supervised by Prof. Minh-Triet Tran, Prof. Ulas Bagci, Dr. Debesh Jha, and Msc. Hai-Dang Nguyen.
Miscellany
- - Looking for PhD opportunities in Computer Vision or Music Analysis and Generation
- - Social pages: LinkedIn, Scholar, GitHub
