← Search

Wenjun Hui

2 accepted papers

2025

Towards Pre-trained Graph Condensation via Optimal Transport

NeurIPS 2025poster

Graph condensation (GC) aims to distill the original graph into a small-scale graph, mitigating redundancy and accelerating GNN training. However, conventional GC approaches heavily rely on rigid GNNs and task-specific supervision. Such a dependency severely restricts their reusability and generaliz…

Cited by 0SourceScholar
2024

Endow SAM with Keen Eyes: Temporal-spatial Prompt Learning for Video Camouflaged Object Detection

CVPR 2024poster

The Segment Anything Model (SAM) a prompt-driven foundational model has demonstrated remarkable performance in natural image segmentation. However its application in video camouflaged object detection (VCOD) encounters challenges chiefly stemming from the overlooked temporal-spatial associations and…

Cited by 11SourcePDFScholar