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20222026
most citedFrequency-Spatial Entanglement Learning for Camouflaged Object Detection

5 citations · 8 across the 6 of their papers we have counts for

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cs.CV2026

StimFlow: Synthesizing Brain Activity from Images via Stimulus-conditioned Flow Matching

Bui Van Hung, Dang Thanh Vu, Hoang-Son Vo +3

The inherent variability of fMRI responses across trials encourages a generative view of the stimulus-to-response mapping. Prior generative encoders often operate in compressed lat…

cs.CV2026

Structure-Guided Mixed Masked Pretraining and Spatial Continuity Regularization for Printed Circuit Board Defect Detection

Peitong Wang, Nuo Wang, Enxin Qin +3

Printed circuit board (PCB) defect detection is an essential part of automated optical inspection (AOI); yet it remains challenging in practice because many defects are tiny, low-c…

cs.CV2024★ 3 cited

GLCONet: Learning Multi-source Perception Representation for Camouflaged Object Detection

Yanguang Sun, Hanyu Xuan, Jian Yang +1

Recently, biological perception has been a powerful tool for handling the camouflaged object detection (COD) task. However, most existing methods are heavily dependent on the local…

cs.CV2024★ 5 cited

Frequency-Spatial Entanglement Learning for Camouflaged Object Detection

Yanguang Sun, Chunyan Xu, Jian Yang +2

Camouflaged object detection has attracted a lot of attention in computer vision. The main challenge lies in the high degree of similarity between camouflaged objects and their sur…

cs.CV2022

Semi-Supervised Video Inpainting with Cycle Consistency Constraints

Zhiliang Wu, Hanyu Xuan, Changchang Sun +2

Deep learning-based video inpainting has yielded promising results and gained increasing attention from researchers. Generally, these methods usually assume that the corrupted regi…