Quoc-Huy Trinh
I am Quoc-Huy Trinh, a Vietnamese researcher. My current researches are supervised by Prof.Minh-Triet Tran, Prof.Ulas Bagci, Dr.Debesh Jha, and Msc.Hai-Dang Nguyen.
My research interest is in Medical imaging and Computer Vision. Moreover, I am interested in Signal Processing, Music Generation, and Face Biometric.
Music Generation:
- Music understanding model
- Singing Voice Synthesize
- Accompaniment Generation
Medical imaging Topic:
- Skin, Brain, Colectoral Lesion Detection.
- Skin, Brain tumor, Colonscopy image segmentation.
- Medical imaging retrieval.
Face Biometric topic:
- Face Recognition
- Face Anti-Spoofing
Graph Representation Learning
- Application of Graph in Computer Vision
- Graph theory for downstream task
Re-Identification embedding model
- Person Re-Identification model in the standard clothes.
- Person Re-Identification in Cloth-changing
- Person Re-Identification with Occluded images
- Multimodal for variant data adapt Re-Identification problem.
Talking head
- Landmark generation approach for Talking Head
- Improve Landmark2Face for Talking Head problem
My social page:
- Linkdln- Scholar
- Github
I am looking for the Research Assistant and collaboration in Research !!!
Study
- Master in Computer Science at Aalto University
- Visting Researcher at Northwestern University
-Bachelor of Honor Program in Information Technology at University of Science, VNU-HCM (3.58/4.0 - thesis 4.0/4.0)
- Student at Le Hong Phong highschool for the gifted
Research
Publication
Upcoming
- SAM-EG: Segment Anything Model with Edge Guidance framework for efficient Polyp Segmentation - BMVC 2024
- Pose-to-Human (P2H): A pose guidance framework via Gram matrix for Occluded Person Re-identification - KES 2024
- PDGS: Pose-Guided Deep Supervision for Mitigating Clothes-Changing in Person Re-Identification - AVSS 2024
- KDAS: Knowledge distillation Framework via Attention Supervision for Polyp Segmentation - ICME 2024
- Pose Knowledge distill guidance: Effective Pose guide learning for Person Re-Identification - ICMR 2024
- EAPC: Emotion and Audio Prior Control framework for the emotional and temporal Talking Face Generation - ICAART 2024
- ALGNet: Attention Light Graph Memory Network for Medical Recommendation System - SOICT 2023
- SpeechSyncNet: Speech to Talking Landmark via the fusion of prior frame landmark and the audio - VCIP 2023
- An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges Medical Image Analysis - Q1
- Graph for Transformer Feature: A New Approach for Face Anti-Spoofing - ESANN 2023
- M2UNet: MetaFormer Multi-scale Upsampling Network for Polyp Segmentation - EUSIPCO 2023
- Meta-Polyp: a baseline for efficient Polyp segmentation - CBMS 2023
- Tiny convolution contextual neural network: a lightweight model for skin lesion detection - ICMV 2022
- PEFNet: Positional Embedding Feature for Polyp Segmentation - MMM 2023
- Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation - RIVF 2022
- Ensemble of Deep Neural Networks for Rice Leaf Disease Classification (Best paper award) - RIVF 2022
- Res-Dense Net for 3D Covid Chest CT-Scan Classification - ICIAP 2022
- EfficientNet for Brain-Lesion Classification - International Workshop, BrainLes 2021, MICCAI 2022
- SHREC 2021: Retrieval of cultural heritage objects - Journal Computer Graphic
- Endoscopy Image Retrieval by Mixer Multi-Layer Perceptron - Annals of Computer Science and Information Systems
- Dense-Res Net for Endoscopic Image Classification - Machine Learning and Trend 2021
- European Conference on Computer Vision - ECCV
- International Conference on Multimedia and Expo - ICME
- International Conference on Multimedia Modeling - MMM
- International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI
- International Joint Conference on Neural Networks - IJCNN
- IEEE/CVF Winter Conference on Applications of Computer Vision - WACV
Industry experience
3/2024 - Now: Lead Machine Learning Engineer (Spex A.I Gmbh)
8/2024 - Now: Visiting Researcher (Bagci Lab, Northwestern University)
3/2024 - Now: Research Scientist (SongGen)
2022 - 2024: Data Scientist (VNG Corporation)
2022 - 2023: Research Intern (Empathic Computing Lab)
2020 - Now: Founder (Aeyes-Smart Glasses for Blind)
2021 - 2022: Software Developer (Microbox)
2021 - 2022: Research Intern (AIOZ)
2020: BaoData (BaoData)
Support
Partner of VinUni Entrepreneuer Lab
Ambassador at H4TF hackathon 2023
Mentor at Stem-Petrus Ky Le Hong Phong
Technical mentor at LHPSC
Award
2024: Best paper Award AI-SIPM at ICMR 2024
2023: Third prize of Vietnamese National of Invention 2023
2022: Second prize Vietnamese Invention for Sociey
2022: Excellent paper award ICMV 2022
2022: Best paper award RIVF 2022.
2022: First prize Innocity
2022: Top 1 Zoo hackathon
2021: Second prize Makethon (Have no first prize)
2021: Second Prize of Software for Student (Have no first prize)
2021: Top 2 best project in Tensorflow Community
2021: Second prize for Vietnamese Edtech Startup 2021.
2021: Top 2 Medical track - Mediaeval 2021
2021: Top 3 KO hackathon
2020: Top 3 Medical track - Mediaeval 2020
2020: Top 10/800 FGCV 2020, CVPR 2020
2020: Third prize for the Vietnam National Talent Youth in Computer Science
2019: Third prize for Vietnam National Science and Engineering Fair
2018: Bronze medal Robotacon