Quoc-Huy Trinh

Deep Generative Model · Computer Vision · NLP · Multimodal

Hi 👋, I'm Huy — a Vietnamese researcher and a Master's student in Computer Science at Aalto University. I'm passionate about exploring new ideas at the frontier of deep learning and computer vision, and I love building things just to see how they work. Outside of research, I enjoy reading, soccer, music, and films.

On the industry side, I was a Lead Machine Learning Engineer at SpexAI GmbH (acquired by Nynomic AG), where I led the development and delivery of an AI analysis system for plants. Before that, as a Data Scientist at VNG Corporation, I built a FaceID system and led its Face Security feature, and also developed license plate detection & recognition and multi-object tracking for surveillance cameras.

My research is supervised by Prof. Minh-Triet Tran, Prof. Ulas Bagci, Prof. Sebastian Szyller, Prof. Bo Zhao, Dr. Debesh Jha, and Msc. Hai-Dang Nguyen.

Research Interests

Deep Generative Model Computer Vision NLP Audio Generation Medical Image Analysis Trustworthy AI

News

Jun 2026

🎉 Huy will present PRS-MED and Firebolt-VL at the CVPR Workshop 2026.

Mar 2026

New preprint: Beyond Medical Diagnostics: How Medical Multimodal Large Language Models Think in Space.

arXiv Webpage

Education

Aalto University, Espoo, Finland

M.Sc. · Major: Computer Science Minor: Machine Learning, Data Science and Artificial Intelligence GPA: 4.82 / 5 · Top 5% Thesis: In-Context Attribution for Large Language Model

Supervisors Prof. Sebastian Szyller
Prof. Bo Zhao

University of Science, VNU-HCM, Vietnam

B.Sc. (Honor Program) · Major: Information Technology GPA: 3.58 / 4.0 · Top 15% Thesis: Pose Knowledge Guidance for Person Re-Identification

Supervisors Prof. Minh-Triet Tran
Msc. Hai-Dang Nguyen

Le Hong Phong High School for the Gifted

Selected Publications

2026

PRS-MED: Position Reasoning Segmentation in Medical Imaging

Quoc-Huy Trinh, Minh-Van Nguyen, Jung Zeng, Debesh Jha*, Ulas Bagci*

CVPRW 2026 Webpage

Firebolt-VL: Efficient Vision-Language Understanding with Cross-Modality Modulation

Quoc-Huy Trinh, Mustapha Abdullahi, Bo Zhao, Debesh Jha

CVPRW 2026 Webpage

2025

CMATalk: Cross Modality Alignment for Talking Head Generation

Xuan-Nam Cao, Quoc-Huy Trinh, Minh-Triet Tran

Multimedia Tools and Application — Q1

NeIn: Telling What You Don't Want

Nhat-Tan Bui, Dinh-Hieu Hoang, Quoc-Huy Trinh, Minh-Triet Tran, Truong Nguyen, Susan Gauch

CVPRW 2025 Best Paper Webpage

2024

Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges

Debesh Jha, Vanshali Sharma, Debapriya Banik, Quoc-Huy Trinh, et al.

Medical Image Analysis — Q1

SAM-EG: Segment Anything Model with Edge Guidance framework for efficient Polyp Segmentation

Quoc-Huy Trinh, Hai-Dang Nguyen, Bao-Tram Nguyen Ngoc, Debesh Jha, Ulas Bagci, Minh-Triet Tran

BMVC 2024 Poster

PDGS: Pose-Guided Deep Supervision for Mitigating Clothes-Changing in Person Re-Identification

Quoc-Huy Trinh, Nhat-Tan Bui, Dinh-Hieu Hoang, Phuoc-Thao Vo Thi, Hai-Dang Nguyen, Debesh Jha, Ulas Bagci, Ngan Le, Minh-Triet Tran

AVSS 2024 — IEEE Oral

KDAS: Knowledge distillation Framework via Attention Supervision for Polyp Segmentation

Quoc-Huy Trinh, Minh-Van Nguyen, Phuoc-Thao Vo Thi

ICME 2024 — IEEE Oral

Pose Knowledge Distill Guidance: Effective Pose guide learning for Person Re-Identification

Quoc-Huy Trinh, Phuoc-Thao Vo Thi, Minh-Triet Tran, Hai-Dang Nguyen

ICMR 2024 — ACM Best Paper Oral

2023

SpeechSyncNet: Speech to Talking Landmark via the fusion of prior frame landmark and the audio

Xuan-Nam Cao, Quoc-Huy Trinh, Van-Son Ho, Minh-Triet Tran

VCIP 2023 — IEEE

An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 transparency challenges

Debesh Jha, Vanshali Sharma, Debapriya Banik, Quoc-Huy Trinh, et al.

Medical Image Analysis — Q1

Graph for Transformer Feature: A New Approach for Face Anti-Spoofing

Quoc-Huy Trinh, Hieu Nguyen, Van Nguyen, Xuan-Mao Nguyen, Hai-Dang Nguyen

ESANN 2023

M2UNet: MetaFormer Multi-scale Upsampling Network for Polyp Segmentation

Quoc-Huy Trinh, Nhat-Tan Bui, Trong-Hieu Nguyen Mau, Minh-Van Nguyen, Hai-Minh Phan, Minh-Triet Tran, Hai-Dang Nguyen

EUSIPCO 2023 — IEEE

Meta-Polyp: a baseline for efficient Polyp segmentation

Quoc-Huy Trinh

CBMS 2023 — IEEE

PEFNet: Positional Embedding Feature for Polyp Segmentation

Trong-Hieu Nguyen-Mau, Quoc-Huy Trinh, Nhat-Tan Bui, Phuoc-Thao Vo Thi, Minh-Van Nguyen, Xuan-Nam Cao, Minh-Triet Tran, Hai-Dang Nguyen

MMM 2023 — Springer

2022

EfficientNet for Brain-Lesion Classification — International Workshop BrainLes 2021

Quoc-Huy Trinh, Trong-Hieu Nguyen Mau, Radmir Zosimov, Minh-Van Nguyen

MICCAI 2022 Workshop — Springer

2021

SHREC 2021: Retrieval of Cultural Heritage Objects

Ivan Sipiran, Patrick Lazo, Cristian Lopez, ..., Quoc-Huy Trinh, et al.

Journal Computer & Graphics — Elsevier

Industry Experience

Lead Machine Learning Engineer — Spex A.I GmbH (Mar 2024 – May 2026)

Machine Learning Engineer — Spex A.I GmbH (Oct 2021 – Mar 2024)

Senior Research Scientist — SongGen (Mar 2024 – May 2025)

Data Scientist — VNG Corporation (2022 – 2024)

Founder — Aeyes – Smart Glasses for Blind (2020 – Present)

Software Developer — Microbox (2021 – 2022)

BaoData (2020)

Academic Experience

Research Intern — Xu Lab, Carnegie Mellon University (Jun 2025 – Present)

Investigating the spatial reasoning of 3D multimodal LLMs over volumetric medical data (SpatialMed).

Research Assistant — TAC Lab, Aalto University (Present)

Exploring in-context attribution and how it interacts with the knowledge stored in a model's in-weight data.

Research Assistant — Bagci Lab, Northwestern University (Aug 2024 – Present)

Studying knowledge distillation for efficient medical image segmentation (SAM-EG), and the grounding and position-reasoning capabilities of multimodal LLMs (PRS-MED).

Research Intern — Empathic Computing Lab (2022 – 2023)

Performed multimodal analysis of EEG signals to study human cognition.

Research Intern — AIOZ (2021 – 2022)

Academic Service

Conference Reviewer

NeurIPS, CVPR, ICCV, ECCV, WACV, MICCAI, ACM MM, ICME, MMM, IJCNN

Journal Reviewer

TMI, TCSVT

Awards

2024Scholarship awarded by ICME 2024

2024Best Paper Award — AI-SIPM @ ICMR 2024

2023Third Prize — Vietnamese National Invention 2023

2022Second Prize — Vietnamese Invention for Society

2022Excellent Paper Award — ICMV 2022

2022Best Paper Award — RIVF 2022

2022First Prize — Innocity

2022Top 1 — Zoo Hackathon

2021Second Prize — Makethon (no first prize awarded)

2021Second Prize — Software for Student (no first prize awarded)

2021Top 2 Best Project — TensorFlow Community

2021Second Prize — Vietnamese Edtech Startup 2021

2021Top 2 Medical Track — Mediaeval 2021

2021Top 3 — KO Hackathon

2020Top 3 Medical Track — Mediaeval 2020

2020Third Prize — Vietnam National Talent Youth in Computer Science

2019Third Prize — Vietnam National Science and Engineering Fair

2018Bronze Medal — Robotacon

Open Source

SongGen-AI / LLambada

Open-source music generation project.