3 papers
cs.CV2026
VisionPangu: A Compact and Fine-Grained Multimodal Assistant with 1.7B Parameters
Jiaxin Fan, Wenpo Song
Large Multimodal Models (LMMs) have achieved strong performance in vision-language understanding, yet many existing approaches rely on large-scale architectures and coarse supervis…
cs.CV2025
CapArena: Benchmarking and Analyzing Detailed Image Captioning in the LLM Era
Kanzhi Cheng, Wenpo Song, Jiaxin Fan +7
Image captioning has been a longstanding challenge in vision-language research. With the rise of LLMs, modern Vision-Language Models (VLMs) generate detailed and comprehensive imag…
cs.CV2023
Beyond Generic: Enhancing Image Captioning with Real-World Knowledge using Vision-Language Pre-Training Model
Kanzhi Cheng, Wenpo Song, Zheng Ma +3
Current captioning approaches tend to generate correct but "generic" descriptions that lack real-world knowledge, e.g., named entities and contextual information. Considering that…