4 papers
FDIR: Harmonizing Fidelity and Human-Machine Preference in Lossy Compression Image Restoration
Kuan-Yen Chen, Fang-Yi Su, Philip Chikontwe +1
Image restoration quality can be evaluated along three complementary facets: pixel-level fidelity, human perception, and downstream machine preference. However, existing lossy comp…
The Self-Correction Illusion: Role Relabeling Gates Explicit Error Flagging in Large Language Models
Kuan-Yen Chen, Fang-Yi Su, Shih-Yen Lin +2
Recent works show that LLM agents struggle to correct errors in their own reasoning traces, despite their ability to correct errors from external sources. We ask whether this refle…
SGD-Mix: Enhancing Domain-Specific Image Classification with Label-Preserving Data Augmentation
Yixuan Dong, Fang-Yi Su, Jung-Hsien Chiang
Data augmentation for domain-specific image classification tasks often struggles to simultaneously address diversity, faithfulness, and label clarity of generated data, leading to…
Debiasing Diffusion Model: Enhancing Fairness through Latent Representation Learning in Stable Diffusion Model
Lin-Chun Huang, Ching Chieh Tsao, Fang-Yi Su +1
Image generative models, particularly diffusion-based models, have surged in popularity due to their remarkable ability to synthesize highly realistic images. However, since these…