1 citations · 1 across the 4 of their papers we have counts for
4 papers
Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning
Cheng Chen, Yunpeng Zhai, Yifan Zhao +3
In-context learning (ICL), a predominant trend in instruction learning, aims at enhancing the performance of large language models by providing clear task guidance and examples, im…
NOFT: Test-Time Noise Finetune via Information Bottleneck for Highly Correlated Asset Creation
Jia Li, Nan Gao, Huaibo Huang +1
The diffusion model has provided a strong tool for implementing text-to-image (T2I) and image-to-image (I2I) generation. Recently, topology and texture control are popular explorat…
Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction with Blockchain
Weiliang Chen, Li Jia, Yang Zhou +1
Federated learning combined with blockchain empowers secure data sharing in autonomous driving applications. Nevertheless, with the increasing granularity and complexity of vehicle…
Dual-Path Temporal Map Optimization for Make-up Temporal Video Grounding
Jiaxiu Li, Kun Li, Jia Li +3
Make-up temporal video grounding (MTVG) aims to localize the target video segment which is semantically related to a sentence describing a make-up activity, given a long video. Com…