← Search

Huilin Zhu

4 accepted papers

2025

Neptune-X: Active X-to-Maritime Generation for Universal Maritime Object Detection

NeurIPS 2025spotlight

Maritime object detection is essential for navigation safety, surveillance, and autonomous operations, yet constrained by two key challenges: the scarcity of annotated maritime data and poor generalization across various maritime attributes (e.g., object category, viewpoint, location, and imaging en…

Cited by 0SourcecodeScholar
2025

Synergistic Integration of Cross-Spatial Learning for Lightweight Crack Detection

ICASSP 2025accepted

Efficient crack segmentation is crucial for engineering surface inspection, especially on edge devices where both accuracy and computational efficiency are essential. To address the challenges posed by crack directionality and blurred edges while enhancing performance, we propose a lightweight segme…

Cited by 0SourceScholar
2024

OneRestore: A Universal Restoration Framework for Composite Degradation

ECCV 2024poster

"In real-world scenarios, image impairments often manifest as composite degradations, presenting a complex interplay of elements such as low light, haze, rain, and snow. Despite this reality, existing restoration methods typically target isolated degradation types, thereby falling short in environme…

2024

Zero-shot Object Counting with Good Exemplars

ECCV 2024poster

"Zero-shot object counting (ZOC) aims to enumerate objects in images using only the names of object classes during testing, without the need for manual annotations. However, a critical challenge in current ZOC methods lies in their inability to identify high-quality exemplars effectively. This defic…