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20222026
most citedFew-shot Image Generation with Diffusion Models

14 citations · 55 across the 23 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CV2024

RNet: Adversarial Attack Resilient Network for Robust Infrared and Visible Image Fusion

Jiawei Li, Hongwei Yu, Jiansheng Chen +5

Infrared and visible image fusion (IVIF) is a crucial technique for enhancing visual performance by integrating unique information from different modalities into one fused image. E…

cs.CV2024★ 5 cited

PIP: Detecting Adversarial Examples in Large Vision-Language Models via Attention Patterns of Irrelevant Probe Questions

Yudong Zhang, Ruobing Xie, Jiansheng Chen +2

Large Vision-Language Models (LVLMs) have demonstrated their powerful multimodal capabilities. However, they also face serious safety problems, as adversaries can induce robustness…

cs.LG2024

Exploring Information-Theoretic Metrics Associated with Neural Collapse in Supervised Training

Kun Song, Zhiquan Tan, Bochao Zou +3

In this paper, we introduce matrix entropy as an analytical tool for studying supervised learning, investigating the information content of data representations and classification…

cs.CV2024★ 1 cited

Isolated Diffusion: Optimizing Multi-Concept Text-to-Image Generation Training-Freely with Isolated Diffusion Guidance

Jingyuan Zhu, Huimin Ma, Jiansheng Chen +1

Large-scale text-to-image diffusion models have achieved great success in synthesizing high-quality and diverse images given target text prompts. Despite the revolutionary image ge…

cs.CV2024★ 8 cited

RhythmFormer: Extracting Patterned rPPG Signals based on Periodic Sparse Attention

Bochao Zou, Zizheng Guo, Jiansheng Chen +3

Remote photoplethysmography (rPPG) is a non-contact method for detecting physiological signals based on facial videos, holding high potential in various applications. Due to the pe…