12 papers
Consistency as Regularization for Unsupervised Shadow Removal
Anh-Kiet Duong, Petra Gomez-Krämer, Jean-Michel Carozza
Shadow removal is an important preprocessing step for many vision tasks, yet existing supervised methods require paired shadow and shadow-free images, while unsupervised approaches…
LoViF 2026 The First Challenge on Unified Removal of Raindrops and Reflections: Methods and Results
Zewei He, Xi Tong, Yu Chen +49
This workshop paper comprehensively reviews the First Challenge on Unified Removal of Raindrops and Reflections. The challenge aims to address a frequently encountered practical pr…
Collision-Resistant Single-Pass Method for Unsupervised Fine-Grained Image Hashing
Anh-Kiet Duong, Petra Gomez-Krämer, Jean-Michel Carozza
Unsupervised fine-grained image hashing aims to learn compact binary codes that preserve subtle visual differences among highly similar instances without manual annotations. Howeve…
NTIRE 2026 The Second Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results
Xin Li, Yeying Jin, Suhang Yao +95
This paper presents an overview of the NTIRE 2026 Second Challenge on Day and Night Raindrop Removal for Dual-Focused Images. Building upon the success of the first edition, this c…
From Image Hashing to Scene Change Detection
Anh-Kiet Duong, Marie-Claire Iatrides, Petra Gomez-Krämer +1
Image hashing provides compact representations for efficient storage and retrieval but is inherently limited to global comparison and cannot reason about where changes occur. This…
Leveraging Membership Inference Attacks for Privacy Measurement in Federated Learning for Remote Sensing Images
Anh-Kiet Duong, Petra Gomez-Krämer, Hoàng-Ân Lê +1
Federated Learning (FL) enables collaborative model training while keeping training data localized, allowing us to preserve privacy in various domains including remote sensing. How…