343 citations · 460 across the 31 of their papers we have counts for
5 papers · 1 filter
GalleryGPT: Analyzing Paintings with Large Multimodal Models
Yi Bin, Wenhao Shi, Yujuan Ding +5
Artwork analysis is important and fundamental skill for art appreciation, which could enrich personal aesthetic sensibility and facilitate the critical thinking ability. Understand…
Leveraging Weak Cross-Modal Guidance for Coherence Modelling via Iterative Learning
Yi Bin, Junrong Liao, Yujuan Ding +4
Cross-modal coherence modeling is essential for intelligent systems to help them organize and structure information, thereby understanding and creating content of the physical worl…
Alleviating Hallucinations in Large Vision-Language Models through Hallucination-Induced Optimization
Xinyu Lyu, Beitao Chen, Lianli Gao +2
Although Large Visual Language Models (LVLMs) have demonstrated exceptional abilities in understanding multimodal data, they invariably suffer from hallucinations, leading to a dis…
AICL: Action In-Context Learning for Video Diffusion Model
Jianzhi Liu, Junchen Zhu, Lianli Gao +2
The open-domain video generation models are constrained by the scale of the training video datasets, and some less common actions still cannot be generated. Some researchers explor…
Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection
Huafeng Liu, Mengmeng Sheng, Zeren Sun +3
Learning with noisy labels has gained increasing attention because the inevitable imperfect labels in real-world scenarios can substantially hurt the deep model performance. Recent…