Quoc-Huy Trinh

According to our database, Quoc-Huy Trinh authored at least 30 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

Debesh Jha, Vanshali Sharma, Debapriya Banik, Debayan Bhattacharya, Kaushiki Roy, Steven Alexander Hicks, Nikhil Kumar Tomar, Vajira Thambawita, Adrian Krenzer, Ge-Peng Ji, Sahadev Poudel, George Batchkala, Saruar Alam, Awadelrahman M. A. Ahmed, Quoc-Huy Trinh, Zeshan Khan, Tien-Phat Nguyen, Shruti Shrestha, Sabari Nathan, Jeonghwan Gwak, Ritika Kumari Jha, Zheyuan Zhang, Alexander Schlaefer, Debotosh Bhattacharjee, Manas Kamal Bhuyan, Pradip K. Das, Deng-Ping Fan, Sravanthi Parasa, Sharib Ali, Michael A. Riegler, Pål Halvorsen, Thomas de Lange, Ulas Bagci

Medical Image Anal., 2025

2024

NeIn: Telling What You Don't Want.

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

CoRR, 2024

PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy.

Debesh Jha, Nikhil Kumar Tomar, Vanshali Sharma, Quoc-Huy Trinh, Koushik Biswas, Hongyi Pan, Ritika Kumari Jha, Gorkem Durak, Alexander Hann, Jonas Varkey, Hang Viet Dao, Long Van Dao, Binh Phuc Nguyen, Khanh Cong Pham, Quang Trung Tran, Nikolaos Papachrysos, Brandon Rieders, Peter Thelin Schmidt, Enrik Geissler, Tyler M. Berzin, Pål Halvorsen, Michael A. Riegler, Thomas de Lange, Ulas Bagci

CoRR, 2024

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

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

CoRR, 2024

RotCAtt-TransUNet++: Novel Deep Neural Network for Sophisticated Cardiac Segmentation.

Quoc-Bao Nguyen-Le, Tuan-Hy Le, Anh-Triet Do, Quoc-Huy Trinh

Proceedings of the International Conference on Multimedia Analysis and Pattern Recognition, 2024

KDAS: Knowledge Distillation via Attention Supervision Framework for Polyp Segmentation.

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

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

EAPC: Emotion and Audio Prior Control Framework for the Emotional and Temporal Talking Face Generation.

Xuan-Nam Cao, Quoc-Huy Trinh, Quoc-Anh Do-Nguyen, Van-Son Ho, Hoai-Thuong Dang, Minh-Triet Tran

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

PGDS: Pose-Guidance 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

Proceedings of the IEEE International Conference on Advanced Video and Signal Based Surveillance, 2024

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

Proceedings of the International Workshop on Artificial Intelligence for Signal, 2024

2023

KDAS3: Knowledge distillation via Attention Supervision, and Symmetrical structure guiding for Polyp Segmentation.

Quoc-Huy Trinh

CoRR, 2023

PGS: Pose-Guided 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

CoRR, 2023

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

Debesh Jha, Vanshali Sharma, Debapriya Banik, Debayan Bhattacharya, Kaushiki Roy, Steven Alexander Hicks, Nikhil Kumar Tomar, Vajira Thambawita, Adrian Krenzer, Ge-Peng Ji, Sahadev Poudel, George Batchkala, Saruar Alam, Awadelrahman M. A. Ahmed, Quoc-Huy Trinh, Zeshan Khan, Tien-Phat Nguyen, Shruti Shrestha, Sabari Nathan, Jeonghwan Gwak, Ritika Kumari Jha, Zheyuan Zhang, Alexander Schlaefer, Debotosh Bhattacharjee, Manas Kamal Bhuyan, Pradip K. Das, Sravanthi Parasa, Sharib Ali, Michael A. Riegler, Pål Halvorsen, Ulas Bagci, Thomas de Lange

CoRR, 2023

M^2UNet: 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

CoRR, 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

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023

ALGNet: Attention Light Graph Memory Network for Medical Recommendation System.

Minh-Van Nguyen, Duy-Thinh Nguyen, Quoc-Huy Trinh, Bac Le

Proceedings of the 12th International Symposium on Information and Communication Technology, 2023

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

Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

Optimizing Sperm Detection and Tracking in Fluids with Equalize Class Representation Augmentation.

Trong-Hieu Nguyen Mau, Quoc-Huy Trinh, Ngoc-Linh Nguyen-Ha, Tuong-Vy Truong-Thuy, Tuan-Anh Yang, Hai-Dang Nguyen, Ngoc-Thao Nguyen, Minh-Triet Tran

Proceedings of the Working Notes Proceedings of the MediaEval 2023 Workshop, 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

Proceedings of the 31st European Signal Processing Conference, 2023

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

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

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

Meta-Polyp: A Baseline for Efficient Polyp Segmentation.

Quoc-Huy Trinh

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022

Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation.

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

Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2022

Ensemble of Deep Neural Networks for Rice Leaf Disease Classification.

Van-Son Ho, Huy Gia Vuong, Binh Quang Nguyen, Quoc-Huy Trinh, Minh-Triet Tran

Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2022

Res-Dense Net for 3D Covid Chest CT-Scan Classification.

Quoc-Huy Trinh, Minh-Van Nguyen, Thien-Phuc Nguyen-Dinh

Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

2021

Custom Deep Neural Network for 3D Covid Chest CT-scan Classification.

Quoc-Huy Trinh, Minh-Van Nguyen

CoRR, 2021

Refined Deep Neural Network and U-Net for Polyps Segmentation.

Quoc-Huy Trinh, Minh-Van Nguyen, Thiet-Gia Huynh, Minh-Triet Tran

CoRR, 2021

SHREC 2021: Retrieval of cultural heritage objects.

Ivan Sipiran, Patrick Lazo, Cristian Lopez, Milagritos Jimenez, Nihar Bagewadi, Benjamin Bustos, Hieu Dao, Shankar Gangisetty, Martin Hanik, Ngoc-Phuong Ho-Thi, Mike Holenderski, Dmitri Jarnikov, Arniel Labrada, Stefan Lengauer, Roxane Licandro, Dinh-Huan Nguyen, Thang-Long Nguyen-Ho, Luis A. Pérez Rey, Bang-Dang Pham, Reinhold Preiner, Tobias Schreck, Quoc-Huy Trinh, Loek Tonnaer, Christoph von Tycowicz, The-Anh Vu-Le

Comput. Graph., 2021

HCMUS-Juniors at Medico Polyp Segmentation Task 2021: Efficient U-Net for Polyps Segmentation.

Quoc-Huy Trinh, Trong-Hieu Nguyen Mau, Minh-Van Nguyen, Van-Son Ho, Tan-Cong Nguyen, Hai-Dang Nguyen, Minh-Triet Tran

Proceedings of the Working Notes Proceedings of the MediaEval 2021 Workshop, 2021

Endoscopy Image Retrieval by Mixer Multi-Layer Perceptron.

Quoc-Huy Trinh, Minh-Van Nguyen

Proceedings of the Position and Communication Papers of the 16th Conference on Computer Science and Intelligence Systems, 2021

EfficientNet for Brain-Lesion Classification.

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

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020

HCMUS-Juniors 2020 at Medico Task in MediaEval 2020: Refined Deep Neural Network and U-Net for Polyps Segmentation.

Quoc-Huy Trinh, Minh-Van Nguyen, Thiet-Gia Huynh, Minh-Triet Tran

Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020