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2020 – today

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2025
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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:
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges. Medical Image Anal. 99: 103307 (2025)
2024
[c20]
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  - conf/ai-sipm/TrinhTTN24
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Quoc-Huy Trinh, Phuoc-Thao Vo Thi, Minh-Triet Tran, Hai-Dang Nguyen:
Pose Knowledge distill guidance: Effective Pose guide learning for Person Re-Identification. AI-SIPM 2024: 4
[c19]
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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:
PGDS: Pose-Guidance Deep Supervision for Mitigating Clothes-Changing in Person Re-Identification. AVSS 2024: 1-8
[c18]
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Xuan-Nam Cao, Quoc-Huy Trinh, Quoc-Anh Do-Nguyen, Van-Son Ho, Hoai-Thuong Dang, Minh-Triet Tran:
EAPC: Emotion and Audio Prior Control Framework for the Emotional and Temporal Talking Face Generation. ICAART (2) 2024: 520-530
[c17]
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Quoc-Huy Trinh, Minh-Van Nguyen, Phuoc-Thao Vo Thi:
KDAS: Knowledge Distillation via Attention Supervision Framework for Polyp Segmentation. ICME 2024: 1-6
[c16]
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  - conf/mapr/Nguyen-LeLDT24
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Quoc-Bao Nguyen-Le, Tuan-Hy Le, Anh-Triet Do, Quoc-Huy Trinh:
RotCAtt-TransUNet++: Novel Deep Neural Network for Sophisticated Cardiac Segmentation. MAPR 2024: 1-6
[i16]
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  - journals/corr/abs-2406-14819
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Quoc-Huy Trinh, Hai-Dang Nguyen, Bao-Tram Nguyen Ngoc, Debesh Jha, Ulas Bagci, Minh-Triet Tran:
SAM-EG: Segment Anything Model with Egde Guidance framework for efficient Polyp Segmentation. CoRR abs/2406.14819 (2024)
[i15]
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  - journals/corr/abs-2409-00045
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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:
PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy. CoRR abs/2409.00045 (2024)
[i14]
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  - journals/corr/abs-2409-05280
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Quoc-Bao Nguyen-Le, Tuan-Hy Le, Anh-Triet Do, Quoc-Huy Trinh:
RotCAtt-TransUNet++: Novel Deep Neural Network for Sophisticated Cardiac Segmentation. CoRR abs/2409.05280 (2024)
[i13]
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  - journals/corr/abs-2409-06481
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Nhat-Tan Bui, Dinh-Hieu Hoang, Quoc-Huy Trinh, Minh-Triet Tran, Truong Nguyen, Susan Gauch:
NeIn: Telling What You Don't Want. CoRR abs/2409.06481 (2024)
[i12]
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  - journals/corr/abs-2411-01661
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Quoc-Huy Trinh, Minh-Van Nguyen, Trong-Hieu Nguyen Mau, Khoa Tran, Thanh Do:
Sing-On-Your-Beat: Simple Text-Controllable Accompaniment Generations. CoRR abs/2411.01661 (2024)
2023
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  - conf/cbms/Trinh23
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Quoc-Huy Trinh:
Meta-Polyp: A Baseline for Efficient Polyp Segmentation. CBMS 2023: 742-747
[c14]
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  - conf/esann/TrinhNNNN23
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Quoc-Huy Trinh, Hieu Nguyen, Van Nguyen, Xuan-Mao Nguyen, Hai-Dang Nguyen:
Graph for Transformer Feature: A New Approach for Face Anti-Spoofing. ESANN 2023
[c13]
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Quoc-Huy Trinh, Nhat-Tan Bui, Trong-Hieu Nguyen Mau, Minh-Van Nguyen, Hai-Minh Phan, Minh-Triet Tran, Hai-Dang Nguyen:
M2UNet: MetaFormer Multi-Scale Upsampling Network for Polyp Segmentation. EUSIPCO 2023: 1115-1119
[c12]
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  - conf/mediaeval/MauTNTYNNT23
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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:
Optimizing Sperm Detection and Tracking in Fluids with Equalize Class Representation Augmentation. MediaEval 2023
[c11]
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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:
PEFNet: Positional Embedding Feature for Polyp Segmentation. MMM (2) 2023: 240-251
[c10]
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Minh-Van Nguyen, Duy-Thinh Nguyen, Quoc-Huy Trinh, Bac Le:
ALGNet: Attention Light Graph Memory Network for Medical Recommendation System. SoICT 2023: 570-577
[c9]
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  - conf/vcip/CaoTHT23
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Xuan-Nam Cao, Quoc-Huy Trinh, Van-Son Ho, Minh-Triet Tran:
SpeechSyncNet: Speech to Talking Landmark via the fusion of prior frame landmark and the audio. VCIP 2023: 1-5
[i11]
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  - journals/corr/abs-2301-06673
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Trong-Hieu Nguyen Mau, Quoc-Huy Trinh, Nhat-Tan Bui, Minh-Triet Tran, Hai-Dang Nguyen:
Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation. CoRR abs/2301.06673 (2023)
[i10]
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  - journals/corr/abs-2305-07848
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Quoc-Huy Trinh:
Meta-Polyp: a baseline for efficient Polyp segmentation. CoRR abs/2305.07848 (2023)
[i9]
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  - journals/corr/abs-2306-08600
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Quoc-Huy Trinh, Nhat-Tan Bui, Trong-Hieu Nguyen Mau, Minh-Van Nguyen, Hai-Minh Phan, Minh-Triet Tran, Hai-Dang Nguyen:
M^2UNet: MetaFormer Multi-scale Upsampling Network for Polyp Segmentation. CoRR abs/2306.08600 (2023)
[i8]
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  - journals/corr/abs-2307-16262
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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:
An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges. CoRR abs/2307.16262 (2023)
[i7]
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  - journals/corr/abs-2312-05634
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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:
PGS: Pose-Guided Supervision for Mitigating Clothes-Changing in Person Re-Identification. CoRR abs/2312.05634 (2023)
[i6]
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  - journals/corr/abs-2312-08377
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Minh-Van Nguyen, Duy-Thinh Nguyen, Quoc-Huy Trinh, Bac Hoai Le:
ALGNet: Attention Light Graph Memory Network for Medical Recommendation System. CoRR abs/2312.08377 (2023)
[i5]
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  - journals/corr/abs-2312-08555
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Quoc-Huy Trinh:
KDAS3: Knowledge distillation via Attention Supervision, and Symmetrical structure guiding for Polyp Segmentation. CoRR abs/2312.08555 (2023)
2022
[c8]
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  - conf/iciap/TrinhNN22
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Quoc-Huy Trinh, Minh-Van Nguyen, Thien-Phuc Nguyen-Dinh:
Res-Dense Net for 3D Covid Chest CT-Scan Classification. ICIAP Workshops 2022: 483-495
[c7]
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  - conf/icmv/TrinhMTN22
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Quoc-Huy Trinh, Trong-Hieu Nguyen Mau, Phuoc-Thao Vo Thi, Hai-Dang Nguyen:
Tiny convolution contextual neural network: a lightweight model for skin lesion detection. ICMV 2022
[c6]
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  - conf/rivf/HoVNTT22
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Van-Son Ho, Huy Gia Vuong, Binh Quang Nguyen, Quoc-Huy Trinh, Minh-Triet Tran:
Ensemble of Deep Neural Networks for Rice Leaf Disease Classification. RIVF 2022: 238-243
[c5]
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Trong-Hieu Nguyen Mau, Quoc-Huy Trinh, Nhat-Tan Bui, Minh-Triet Tran, Hai-Dang Nguyen:
Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation. RIVF 2022: 731-736
[i4]
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  - journals/corr/abs-2208-04613
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Quoc-Huy Trinh, Minh-Van Nguyen, Thien-Phuc Nguyen-Dinh:
Res-Dense Net for 3D Covid Chest CT-scan classification. CoRR abs/2208.04613 (2022)
[i3]
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  - journals/corr/abs-2208-04616
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Quoc-Huy Trinh, Trong-Hieu Nguyen Mau, Radmir Zosimov, Minh-Van Nguyen:
EfficientNet for Brain-Lesion classification. CoRR abs/2208.04616 (2022)
2021
[j1]
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  - journals/cg/SipiranLLJBBDGH21
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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:
SHREC 2021: Retrieval of cultural heritage objects. Comput. Graph. 100: 1-20 (2021)
[c4]
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Quoc-Huy Trinh, Trong-Hieu Nguyen Mau, Radmir Zosimov, Minh-Van Nguyen:
EfficientNet for Brain-Lesion Classification. BrainLes@MICCAI (1) 2021: 249-260
[c3]
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Quoc-Huy Trinh, Minh-Van Nguyen:
Endoscopy Image Retrieval by Mixer Multi-Layer Perceptron. FedCSIS (Position Papers) 2021: 223-226
[c2]
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Quoc-Huy Trinh, Trong-Hieu Nguyen Mau, Minh-Van Nguyen, Van-Son Ho, Tan-Cong Nguyen, Hai-Dang Nguyen, Minh-Triet Tran:
HCMUS-Juniors at Medico Polyp Segmentation Task 2021: Efficient U-Net for Polyps Segmentation. MediaEval 2021
[i2]
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  - journals/corr/abs-2105-14848
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Quoc-Huy Trinh, Minh-Van Nguyen, Thiet-Gia Huynh, Minh-Triet Tran:
Refined Deep Neural Network and U-Net for Polyps Segmentation. CoRR abs/2105.14848 (2021)
[i1]
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  - journals/corr/abs-2107-01456
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Quoc-Huy Trinh, Minh-Van Nguyen:
Custom Deep Neural Network for 3D Covid Chest CT-scan Classification. CoRR abs/2107.01456 (2021)
2020
[c1]
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  - conf/mediaeval/TrinhNHT20
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Quoc-Huy Trinh, Minh-Van Nguyen, Thiet-Gia Huynh, Minh-Triet Tran:
HCMUS-Juniors 2020 at Medico Task in MediaEval 2020: Refined Deep Neural Network and U-Net for Polyps Segmentation. MediaEval 2020

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