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Dominant vs. Dominated: Concept-Level Generative Collapse in Diffusion Models
Hayeon Jeong, Jong-Seok Lee
Text-to-image diffusion models have attracted significant attention for their ability to generate diverse, high-fidelity images. However, in multi-concept generation, one concept t…
Exploring the Camera Bias of Person Re-identification
Myungseo Song, Jin-Woo Park, Jong-Seok Lee
We empirically investigate the camera bias of person re-identification (ReID) models. Previously, camera-aware methods have been proposed to address this issue, but they are largel…
Emotional EEG Classification using Upscaled Connectivity Matrices
Chae-Won Lee, Jong-Seok Lee
In recent studies of emotional EEG classification, connectivity matrices have been successfully employed as input to convolutional neural networks (CNNs), which can effectively con…
SC-Pro: Training-Free Framework for Defending Unsafe Image Synthesis Attack
Junha Park, Jaehui Hwang, Ian Ryu +3
With advances in diffusion models, image generation has shown significant performance improvements. This raises concerns about the potential abuse of image generation, such as the…