Tran Duy Linh

According to our database, Tran Duy Linh authored at least 9 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Multi-Surrogate-Teacher Assistance for Representation Alignment in Fingerprint-Based Indoor Localization.

Son Minh Nguyen, Tran Duy Linh, Duc Viet Le, Paul J. M. Havinga

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024

iMoT: Inertial Motion Transformer for Inertial Navigation.

Son Minh Nguyen, Tran Duy Linh, Duc Viet Le, Paul J. M. Havinga

CoRR, 2024

2023

SHELF: Combination of Shape Fitting and Heatmap Regression for Landmark Detection in Human Face.

Ngo Thi Ngoc Quyen, Tran Duy Linh, Vu Hong Phuc, Nguyen Van Nam

EAI Endorsed Trans. Ind. Networks Intell. Syst., 2023

2022

Self-Attention Generative Distribution Adversarial Network for Few- and Zero-Shot Face Anti-Spoofing.

Son Minh Nguyen, Tran Duy Linh, Duc Viet Le, Masayuki Arai

Proceedings of the IEEE International Joint Conference on Biometrics, 2022

2020

Attended-Auxiliary Supervision Representation for Face Anti-spoofing.

Son Minh Nguyen, Tran Duy Linh, Masayuki Arai

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

GAN-Based Noise Model for Denoising Real Images.

Tran Duy Linh, Son Minh Nguyen, Masayuki Arai

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

Two-stage Deep Neural Network for General Object Detection.

Tran Duy Linh, Masayuki Arai

J. Inf. Process., 2019

2018

Guitar chord recognition based on finger patterns with deep learning.

Takumi Ooaku, Tran Duy Linh, Masayuki Arai, Tsukasa Maekawa, Kozo Mizutani

Proceedings of the 4th International Conference on Communication and Information Processing, 2018

2017

A two-stage training deep neural network for small pedestrian detection.

Tran Duy Linh, Masayuki Arai

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017