3 papers
cs.CV2026
Exploring SAM Supervision for Fine-Grained UAV Target Segmentation under Data Scarcity
Le-Anh Tran
Unmanned aerial vehicle (UAV) target segmentation remains challenging due to the small size of objects, appearance variations, cluttered backgrounds, and the scarcity of densely an…
cs.CV2025
Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features
Le-Anh Tran
This paper proposes an innovative framework for Unsupervised Image Dehazing via Kolmogorov-Arnold Transformation, termed UID-KAT. Image dehazing is recognized as a challenging and…
cs.CV2024
Distilled Pooling Transformer Encoder for Efficient Realistic Image Dehazing
Le-Anh Tran, Dong-Chul Park
This paper proposes a lightweight neural network designed for realistic image dehazing, utilizing a Distilled Pooling Transformer Encoder, named DPTE-Net. Recently, while vision tr…