An Dinh Le

16 papers C 2Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2025 C conf
Stop-band Energy Constraint for Orthogonal Tunable Wavelet Units in Convolutional Neural Networks for Computer Vision problems.
VCIP
An Dinh Le, Hung Nguyen, Sungbal Seo, You-Suk Bae, Truong Q. Nguyen
2025 J jnl
Stop-band Energy Constraint for Orthogonal Tunable Wavelet Units in Convolutional Neural Networks for Computer Vision problems.
CoRR
An Dinh Le, Hung Nguyen, Sungbal Seo, You-Suk Bae, Truong Q. Nguyen
2025 J jnl
Tunable Wavelet Unit based Convolutional Neural Network in Optical Coherence Tomography Analysis Enhancement for Classifying Type of Epiretinal Membrane Surgery.
CoRR
An Dinh Le, Nehal Mehta, William R. Freeman, Ines D. Nagel, Melanie Tran, Anna Heinke, Akshay Agnihotri, Lingyun Cheng, Dirk-Uwe Bartsch, Hung Nguyen, Truong Q. Nguyen, Cheolhong An
2025 J jnl
Universal Wavelet Units in 3D Retinal Layer Segmentation.
CoRR
An Dinh Le, Hung Nguyen, Melanie Tran, Jesse Most, Dirk-Uwe G. Bartsch, William R. Freeman, Shyamanga Borooah, Truong Q. Nguyen, Cheolhong An
2024 J jnl
A Lattice-Structure-Based Trainable Orthogonal Wavelet Unit for Image Classification.
IEEE Access
An Dinh Le, Shiwei Jin, You Suk Bae, Truong Q. Nguyen
2024 — conf
Benchmarking Jetson Edge Devices with an End-to-End Video-Based Anomaly Detection System.
FICC (2)
Hoang Viet Pham, Thinh Gia Tran, Chuong Dinh Le, An Dinh Le, Hien B. Vo
2024 — conf
Wavelet Deep Learning Network for Objective Retinal Functional Estimation from Multimodal Retinal Imaging.
OMIA@MICCAI
An Dinh Le, Shaden H. Yassin, William R. Freeman, Anna Heinke, Dirk-Uwe G. Bartsch, Shyamanga Borooah, Shiwei Jin, Truong Q. Nguyen, Cheolhong An
2023 C conf
A Novel Learnable Orthogonal Wavelet Unit Neural Network with Perfection Reconstruction Constraint Relaxation for Image Classification.
VCIP
An Dinh Le, Shiwei Jin, You Suk Bae, Truong Nguyen
2023 J jnl
Benchmarking Anomaly Detection System on various Jetson Edge Devices.
CoRR
Hoang Viet Pham, Thinh Gia Tran, Chuong Dinh Le, An Dinh Le, Hien Bich Vo
2023 — conf
Harnessing Sheaf Theory for Enhanced Air Quality Monitoring: Overcoming Conventional Limitations with Topology-Inspired Self-correcting Algorithm.
FTC (1)
Anh-Duy Pham, An Dinh Le, Chuong Dinh Le, Hoang Viet Pham, Hien Bich Vo
2023 — conf
SmartTrap: An On-Field Insect Monitoring System Empowered by Edge Computing Capabilities.
RIVF
Quan M. Nguyen, Duy A. Pham, Dong T. Pham, An Dinh Le, Nguyen Q. H. Vo, Hien B. Vo
2022 — conf
A PM2.5 concentration prediction framework with vehicle tracking system: From cause to effect.
RIVF
Chuong Dinh Le, Hoang Viet Pham, Duy A. Pham, An Dinh Le, Hien B. Vo
2022 J jnl
A PM2.5 concentration prediction framework with vehicle tracking system: From cause to effect.
CoRR
Chuong Dinh Le, Hoang Viet Pham, Duy A. Pham, An Dinh Le, Hien B. Vo
2022 J jnl
Scalable, low-cost, and versatile system design for air pollution and traffic density monitoring and analysis.
CoRR
Thinh Gia Tran, Dat Thanh Vo, Long Chau Tran, Hoang Viet Pham, Chuong Dinh Le, An Dinh Le, Duy Anh Pham, Hien Bich Vo
2022 J jnl
Sheaf-theoretic self-filtering network of low-cost sensors for local air quality monitoring: A causal approach.
CoRR
Anh-Duy Pham, Chuong Dinh Le, Hoang Viet Pham, Thinh Gia Tran, Dat Thanh Vo, Long Chau Tran, An Dinh Le, Hien Bich Vo
2021 J jnl
AlertTrap: A study on object detection in remote insects trap monitoring system using on-the-edge deep learning platform.
CoRR
An Dinh Le, Duy A. Pham, Dong T. Pham, Hien B. Vo