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Hoàng-Ân Lê
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2020 – today
- 2025
- [j3]Anh-Kiet Duong
, Tran Vu La, Hoàng-Ân Lê, Minh-Tan Pham
FedShip: Federated Learning for Ship Detection From Multi-Source Satellite Images. IEEE Geosci. Remote. Sens. Lett. 22: 1-5 (2025) - 2024
- [c5]Anh-Kiet Duong, Hoàng-Ân Lê, Minh-Tan Pham:
Leveraging Feature Communication in Federated Learning for Remote Sensing Image Classification. IGARSS 2024: 6890-6894 - [c4]Hoàng-Ân Lê, Minh-Tan Pham:
Leveraging Knowledge Distillation for Partial Multi-Task Learning from Multiple Remote Sensing Datasets. IGARSS 2024: 8019-8023 - [i9]Anh-Kiet Duong, Hoàng-Ân Lê, Minh-Tan Pham:
Leveraging feature communication in federated learning for remote sensing image classification. CoRR abs/2403.13575 (2024) - [i8]Hoàng-Ân Lê, Minh-Tan Pham:
Leveraging knowledge distillation for partial multi-task learning from multiple remote sensing datasets. CoRR abs/2405.15394 (2024) - [i7]Hoàng-Ân Lê, Paul Berg, Minh-Tan Pham:
Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning. CoRR abs/2411.17536 (2024) - 2023
- [c3]Hoàng-Ân Lê, Minh-Tan Pham:
Data exploitation: multi-task learning of object detection and semantic segmentation on partially annotated data. BMVC 2023: 870 - [c2]Hoàng-Ân Lê, Minh-Tan Pham:
Self-training and multi-task learning for limited data: evaluation study on object detection. ICCV (Workshops) 2023: 1003-1009 - [c1]Hoàng-Ân Lê, Minh-Tan Pham:
Knowledge Distillation for Object Detection: From Generic To Remote Sensing Datasets. IGARSS 2023: 6194-6197 - [i6]Hoàng-Ân Lê, Minh-Tan Pham:
Knowledge Distillation for Object Detection: from generic to remote sensing datasets. CoRR abs/2307.09264 (2023) - [i5]Hoàng-Ân Lê, Minh-Tan Pham:
Self-Training and Multi-Task Learning for Limited Data: Evaluation Study on Object Detection. CoRR abs/2309.06288 (2023) - [i4]Hoàng-Ân Lê, Minh-Tan Pham:
Data exploitation: multi-task learning of object detection and semantic segmentation on partially annotated data. CoRR abs/2311.04040 (2023) - 2022
- [j2]Hoàng-Ân Lê
Mutual Guidance Meets Supervised Contrastive Learning: Vehicle Detection in Remote Sensing Images. Remote. Sens. 14(15): 3689 (2022) - [j1]Hoàng-Ân Lê
Learning Digital Terrain Models From Point Clouds: ALS2DTM Dataset and Rasterization-Based GAN. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 4980-4989 (2022) - [i3]Wei-Hsin Tseng, Hoàng-Ân Lê, Alexandre Boulch, Sébastien Lefèvre, Dirk Tiede:
CroCo: Cross-Modal Contrastive learning for localization of Earth Observation data. CoRR abs/2204.07052 (2022) - [i2]Anne Achieng Osio, Hoàng-Ân Lê, Samson Ayugi, Fred Onyango, Peter Odwe, Sébastien Lefèvre:
Detection of Degraded Acacia tree species using deep neural networks on uav drone imagery. CoRR abs/2204.07096 (2022) - [i1]Hoàng-Ân Lê, Florent Guiotte, Minh-Tan Pham, Sébastien Lefèvre, Thomas Corpetti:
Learning Digital Terrain Models from Point Clouds: ALS2DTM Dataset and Rasterization-based GAN. CoRR abs/2206.03778 (2022)
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last updated on 2025-01-26 23:45 CET by the dblp team
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