33 citations · 133 across the 37 of their papers we have counts for
39 papers
Exemplar Masking for Multimodal Incremental Learning
Yi-Lun Lee, Chen-Yu Lee, Wei-Chen Chiu +1
Multimodal incremental learning needs to digest the information from multiple modalities while concurrently learning new knowledge without forgetting the previously learned informa…
Delve into Visual Contrastive Decoding for Hallucination Mitigation of Large Vision-Language Models
Yi-Lun Lee, Yi-Hsuan Tsai, Wei-Chen Chiu
While large vision-language models (LVLMs) have shown impressive capabilities in generating plausible responses correlated with input visual contents, they still suffer from halluc…
MENTOR: Multilingual tExt detectioN TOward leaRning by analogy
Hsin-Ju Lin, Tsu-Chun Chung, Ching-Chun Hsiao +3
Text detection is frequently used in vision-based mobile robots when they need to interpret texts in their surroundings to perform a given task. For instance, delivery robots in mu…
Transformer-based Image Compression with Variable Image Quality Objectives
Chia-Hao Kao, Yi-Hsin Chen, Cheng Chien +2
This paper presents a Transformer-based image compression system that allows for a variable image quality objective according to the user's preference. Optimizing a learned codec f…
Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You Where
Zhi-Yi Chin, Chieh-Ming Jiang, Ching-Chun Huang +2
While image data starts to enjoy the simple-but-effective self-supervised learning scheme built upon masking and self-reconstruction objective thanks to the introduction of tokeniz…
Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts
Zhi-Yi Chin, Chieh-Ming Jiang, Ching-Chun Huang +2
Text-to-image diffusion models, e.g. Stable Diffusion (SD), lately have shown remarkable ability in high-quality content generation, and become one of the representatives for the r…