5 papers · 1 filter
Visual Information-Guided Parallel Decoding for Diffusion Multimodal Large Language Models
Insu Lee, Wooje Park, Wonseok Shin +2
Diffusion multimodal large language models (dMLLMs) have recently emerged as a new decoding paradigm for multimodal generation. Starting from a fully masked sequence, dMLLMs progre…
Revealing Multi-View Hallucination in Large Vision-Language Models
Wooje Park, Insu Lee, Soohyun Kim +4
Large vision-language models (LVLMs) are increasingly being applied to multi-view image inputs captured from diverse viewpoints. Despite this growing use, current LVLMs often gener…
Towards Comprehensive Scene Understanding: Integrating First and Third-Person Views for LVLMs
Insu Lee, Wooje Park, Jaeyun Jang +3
Large vision-language models (LVLMs) are increasingly deployed in interactive applications such as virtual and augmented reality, where a first-person (egocentric) view captured by…
Learning Primitive Relations for Compositional Zero-Shot Learning
Insu Lee, Jiseob Kim, Kyuhong Shim +1
Compositional Zero-Shot Learning (CZSL) aims to identify unseen state-object compositions by leveraging knowledge learned from seen compositions. Existing approaches often independ…
Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization
Jiyoung Kim, Kyuhong Shim, Insu Lee +1
Unsupervised semantic segmentation (USS) aims to discover and recognize meaningful categories without any labels. For a successful USS, two key abilities are required: 1) informati…