Trong-Hieu Nguyen Mau

22 papers C 1Journal 9Unranked 12
YearRankTypeTitle / Venue / Authors
2025 — conf
Can Frequency Filtering Approximate CNNs for Enhancing Segment Anything?
ICCCI (2)
Xuan-Tung Nguyen, Hoang-Minh Nguyen, Trong-Hieu Nguyen Mau, Tuong-Vy Truong-Thuy, Ngoc-Linh Nguyen-Ha, Minh-Triet Tran, Hai-Dang Nguyen
2025 J jnl
DYNAFormer: Enhancing transformer segmentation with dynamic anchor mask for medical imaging.
Comput. Biol. Medicine
Tan-Cong Nguyen, Kim Anh Phung, Thao Thi Phuong Dao, Trong-Hieu Nguyen Mau, Thuc Nguyen-Quang, Cong Nhan Pham, Trung-Nghia Le, Ju Shen, Tam V. Nguyen, Minh-Triet Tran
2024 — conf
Enhancing Visual Question Answering with Pre-trained Vision-Language Models: An Ensemble Approach at the LAVA Challenge 2024.
ACCV Workshops (1)
Trong-Hieu Nguyen Mau, Nhu-Binh Nguyen Truc, Nhu-Vinh Hoang, Minh-Triet Tran, Hai-Dang Nguyen
2024 — conf
MedficientSAM: A Robust Medical Segmentation Model with Optimized Inference Pipeline for Limited Clinical Settings.
MedSAM@CVPR
Bao-Hiep Le, Dang-Khoa Nguyen-Vu, Trong-Hieu Nguyen Mau, Hai-Dang Nguyen, Minh-Triet Tran
2024 J jnl
Sing-On-Your-Beat: Simple Text-Controllable Accompaniment Generations.
CoRR
Quoc-Huy Trinh, Minh-Van Nguyen, Trong-Hieu Nguyen Mau, Khoa Tran, Thanh Do
2024 J jnl
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge.
Medical Image Anal.
Gregory Holste, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen Mau, Minh-Triet Tran, Jaehyup Jeong, Wongi Park, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng
2023 — conf
AANet: Motorcycle ReID Using Multi-Atrous Convolution and Self-Attention Mechanisms.
MAPR
Trong-Hieu Nguyen Mau, Kim-Trang Phu-Thi, Anh-Duy Le-Dinh, Minh-Triet Tran, Hai-Dang Nguyen
2023 — conf
Advanced Augmentation and Ensemble Approaches for Classifying Long-Tailed Multi-Label Chest X-Rays.
ICCV (Workshops)
Trong-Hieu Nguyen Mau, Tuan-Luc Huynh, Thanh-Danh Le, Hai-Dang Nguyen, Minh-Triet Tran
2023 — conf
ConvTransNet: Merging Convolution with Transformer to Enhance Polyp Segmentation.
SoICT
Trong-Hieu Nguyen Mau, Trong-Vu Hoang, Hai-Dang Nguyen, Minh-Triet Tran
2023 — conf
M2UNet: MetaFormer Multi-Scale Upsampling Network for Polyp Segmentation.
EUSIPCO
Quoc-Huy Trinh, Nhat-Tan Bui, Trong-Hieu Nguyen Mau, Minh-Van Nguyen, Hai-Minh Phan, Minh-Triet Tran, Hai-Dang Nguyen
2023 J jnl
M^2UNet: MetaFormer Multi-scale Upsampling Network for Polyp Segmentation.
CoRR
Quoc-Huy Trinh, Nhat-Tan Bui, Trong-Hieu Nguyen Mau, Minh-Van Nguyen, Hai-Minh Phan, Minh-Triet Tran, Hai-Dang Nguyen
2023 J jnl
Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation.
CoRR
Trong-Hieu Nguyen Mau, Quoc-Huy Trinh, Nhat-Tan Bui, Minh-Triet Tran, Hai-Dang Nguyen
2023 — conf
Optimizing Sperm Detection and Tracking in Fluids with Equalize Class Representation Augmentation.
MediaEval
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
2023 — conf
PEFNet: Positional Embedding Feature for Polyp Segmentation.
MMM (2)
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
2023 J jnl
SketchANIMAR: Sketch-based 3D Animal Fine-Grained Retrieval.
CoRR
Trung-Nghia Le, Tam V. Nguyen, Minh-Quan Le, Trong-Thuan Nguyen, Viet-Tham Huynh, Trong-Le Do, Khanh-Duy Le, Mai-Khiem Tran, Nhat Hoang-Xuan, Thang-Long Nguyen-Ho, Vinh-Tiep Nguyen, Nhat-Quynh Le-Pham, Huu-Phuc Pham, Trong-Vu Hoang, Quang-Binh Nguyen, Trong-Hieu Nguyen Mau, Tuan-Luc Huynh, Thanh-Danh Le, Ngoc-Linh Nguyen-Ha, Tuong-Vy Truong-Thuy, Truong Hoai Phong, Tuong-Nghiem Diep, Khanh-Duy Ho, Xuan-Hieu Nguyen, Thien-Phuc Tran, Tuan-Anh Yang, Kim-Phat Tran, Nhu-Vinh Hoang, Minh-Quang Nguyen, Hoai-Danh Vo, Minh-Hoa Doan, Hai-Dang Nguyen, Akihiro Sugimoto, Minh-Triet Tran
2023 J jnl
SketchANIMAR: Sketch-based 3D animal fine-grained retrieval.
Comput. Graph.
Trung-Nghia Le, Tam V. Nguyen, Minh-Quan Le, Trong-Thuan Nguyen, Viet-Tham Huynh, Trong-Le Do, Khanh-Duy Le, Mai-Khiem Tran, Nhat Hoang-Xuan, Thang-Long Nguyen-Ho, Vinh-Tiep Nguyen, Nhat-Quynh Le-Pham, Huu-Phuc Pham, Trong-Vu Hoang, Quang-Binh Nguyen, Trong-Hieu Nguyen Mau, Tuan-Luc Huynh, Thanh-Danh Le, Ngoc-Linh Nguyen-Ha, Tuong-Vy Truong-Thuy, Truong Hoai Phong, Tuong-Nghiem Diep, Khanh-Duy Ho, Xuan-Hieu Nguyen, Thien-Phuc Tran, Tuan-Anh Yang, Kim-Phat Tran, Nhu-Vinh Hoang, Minh-Quang Nguyen, Hoai-Danh Vo, Minh-Hoa Doan, Hai-Dang Nguyen, Akihiro Sugimoto, Minh-Triet Tran
2023 J jnl
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge.
CoRR
Gregory Holste, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen Mau, Minh-Triet Tran, Jaehyup Jeong, Wongi Park, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng
2022 J jnl
EfficientNet for Brain-Lesion classification.
CoRR
Quoc-Huy Trinh, Trong-Hieu Nguyen Mau, Radmir Zosimov, Minh-Van Nguyen
2022 — conf
Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation.
RIVF
Trong-Hieu Nguyen Mau, Quoc-Huy Trinh, Nhat-Tan Bui, Minh-Triet Tran, Hai-Dang Nguyen
2022 C conf
Tiny convolution contextual neural network: a lightweight model for skin lesion detection.
ICMV
Quoc-Huy Trinh, Trong-Hieu Nguyen Mau, Phuoc-Thao Vo Thi, Hai-Dang Nguyen
2021 — conf
EfficientNet for Brain-Lesion Classification.
BrainLes@MICCAI (1)
Quoc-Huy Trinh, Trong-Hieu Nguyen Mau, Radmir Zosimov, Minh-Van Nguyen
2021 — conf
HCMUS-Juniors at Medico Polyp Segmentation Task 2021: Efficient U-Net for Polyps Segmentation.
MediaEval
Quoc-Huy Trinh, Trong-Hieu Nguyen Mau, Minh-Van Nguyen, Van-Son Ho, Tan-Cong Nguyen, Hai-Dang Nguyen, Minh-Triet Tran