Hoàng-Ân Lê

19 papers A 2C 3Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Leveraging Membership Inference Attacks for Privacy Measurement in Federated Learning for Remote Sensing Images.
CoRR
Anh-Kiet Duong, Petra Gomez-Krämer, Hoàng-Ân Lê, Minh-Tan Pham
2025 J jnl
FedShip: Federated Learning for Ship Detection From Multi-Source Satellite Images.
IEEE Geosci. Remote. Sens. Lett.
Anh-Kiet Duong, Tran Vu La, Hoàng-Ân Lê, Minh-Tan Pham
2024 A conf
Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning.
BMVC
Hoàng-Ân Lê, Paul Berg, Minh-Tan Pham
2024 J jnl
Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning.
CoRR
Hoàng-Ân Lê, Paul Berg, Minh-Tan Pham
2024 C conf
Leveraging Feature Communication in Federated Learning for Remote Sensing Image Classification.
IGARSS
Anh-Kiet Duong, Hoàng-Ân Lê, Minh-Tan Pham
2024 C conf
Leveraging Knowledge Distillation for Partial Multi-Task Learning from Multiple Remote Sensing Datasets.
IGARSS
Hoàng-Ân Lê, Minh-Tan Pham
2024 J jnl
Leveraging feature communication in federated learning for remote sensing image classification.
CoRR
Anh-Kiet Duong, Hoàng-Ân Lê, Minh-Tan Pham
2024 J jnl
Leveraging knowledge distillation for partial multi-task learning from multiple remote sensing datasets.
CoRR
Hoàng-Ân Lê, Minh-Tan Pham
2023 A conf
Data exploitation: multi-task learning of object detection and semantic segmentation on partially annotated data.
BMVC
Hoàng-Ân Lê, Minh-Tan Pham
2023 J jnl
Data exploitation: multi-task learning of object detection and semantic segmentation on partially annotated data.
CoRR
Hoàng-Ân Lê, Minh-Tan Pham
2023 C conf
Knowledge Distillation for Object Detection: From Generic To Remote Sensing Datasets.
IGARSS
Hoàng-Ân Lê, Minh-Tan Pham
2023 J jnl
Knowledge Distillation for Object Detection: from generic to remote sensing datasets.
CoRR
Hoàng-Ân Lê, Minh-Tan Pham
2023 J jnl
Self-Training and Multi-Task Learning for Limited Data: Evaluation Study on Object Detection.
CoRR
Hoàng-Ân Lê, Minh-Tan Pham
2023 — conf
Self-training and multi-task learning for limited data: evaluation study on object detection.
ICCV (Workshops)
Hoàng-Ân Lê, Minh-Tan Pham
2022 J jnl
CroCo: Cross-Modal Contrastive learning for localization of Earth Observation data.
CoRR
Wei-Hsin Tseng, Hoàng-Ân Lê, Alexandre Boulch, Sébastien Lefèvre, Dirk Tiede
2022 J jnl
Detection of Degraded Acacia tree species using deep neural networks on uav drone imagery.
CoRR
Anne Achieng Osio, Hoàng-Ân Lê, Samson Ayugi, Fred Onyango, Peter Odwe, Sébastien Lefèvre
2022 J jnl
Learning Digital Terrain Models From Point Clouds: ALS2DTM Dataset and Rasterization-Based GAN.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Hoàng-Ân Lê, Florent Guiotte, Minh-Tan Pham, Sébastien Lefèvre, Thomas Corpetti
2022 J jnl
Learning Digital Terrain Models from Point Clouds: ALS2DTM Dataset and Rasterization-based GAN.
CoRR
Hoàng-Ân Lê, Florent Guiotte, Minh-Tan Pham, Sébastien Lefèvre, Thomas Corpetti
2022 J jnl
Mutual Guidance Meets Supervised Contrastive Learning: Vehicle Detection in Remote Sensing Images.
Remote. Sens.
Hoàng-Ân Lê, Heng Zhang, Minh-Tan Pham, Sébastien Lefèvre