Tan-Cong Nguyen

Orcid: 0000-0001-8834-8092

According to our database1, Tan-Cong Nguyen authored at least 11 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
MANet: Multi-branch attention auxiliary learning for lung nodule detection and segmentation.
Comput. Methods Programs Biomed., November, 2023

Polyp Instance Segmentation in Colonoscopy Images: A Benchmark.
Proceedings of the 8th IEEE/ACIS International Conference on Big Data, 2023

2022
Camouflaged Instance Segmentation In-the-Wild: Dataset, Method, and Benchmark Suite.
IEEE Trans. Image Process., 2022

Semi-supervised Organ Segmentation with Mask Propagation Refinement and Uncertainty Estimation for Data Generation.
Proceedings of the Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, 2022

2021
Camouflaged Instance Segmentation: Dataset and Benchmark Suite.
CoRR, 2021

CCBANet: Cascading Context and Balancing Attention for Polyp Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

HCMUS-Juniors at Medico Polyp Segmentation Task 2021: Efficient U-Net for Polyps Segmentation.
Proceedings of the Working Notes Proceedings of the MediaEval 2021 Workshop, 2021

CamouFinder: Finding Camouflaged Instances in Images.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Flood Level Prediction via Human Pose Estimation from Social Media Images.
Proceedings of the 2020 on International Conference on Multimedia Retrieval, 2020

HCMUS at Medico Automatic Polyp Segmentation Task 2020: PraNet and ResUnet++ for Polyps Segmentation.
Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

2019
Flood Event Analysis Base on Pose Estimation and Water-Related Scene Recognition.
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019


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