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From the 1 of 6 linked papers with an AI index.

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6 papers

cs.LG2026

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model

Yixin Peng, Diego Collarana, Er Jin +1

The paper introduces THGFM, a dual-branch graph transformer model that jointly handles structural heterogeneity and temporal dynamics in heterogeneous graphs using shared and speci…

cs.CV2026

Learnable Sparsity for Vision Generative Models

Yang Zhang, Er Jin, Wenzhong Liang +5

Diffusion models have achieved impressive advancements in various vision tasks. However, these gains often rely on increasing model size, which escalates computational complexity a…

cs.CV2025

Unconsciously Forget: Mitigating Memorization; Without Knowing What is being Memorized

Er Jin, Yang Zhang, Yongli Mou +4

Recent advances in generative models have demonstrated an exceptional ability to produce highly realistic images. However, previous studies show that generated images often resembl…

cs.CV2025

Segment Anything for Cell Tracking

Zhu Chen, Mert Edgü, Er Jin +1

Tracking cells and detecting mitotic events in time-lapse microscopy image sequences is a crucial task in biomedical research. However, it remains highly challenging due to dividin…

cs.CV2025

Minimalist Concept Erasure in Generative Models

Yang Zhang, Er Jin, Yanfei Dong +5

Recent advances in generative models have demonstrated remarkable capabilities in producing high-quality images, but their reliance on large-scale unlabeled data has raised signifi…

cs.CV2025

LogicAD: Explainable Anomaly Detection via VLM-based Text Feature Extraction

Er Jin, Qihui Feng, Yongli Mou +4

Logical image understanding involves interpreting and reasoning about the relationships and consistency within an image's visual content. This capability is essential in applicatio…