19 citations · 31 across the 5 of their papers we have counts for
4 papers · 1 filter
Detector Guidance for Multi-Object Text-to-Image Generation
Luping Liu, Zijian Zhang, Yi Ren +3
Diffusion models have demonstrated impressive performance in text-to-image generation. They utilize a text encoder and cross-attention blocks to infuse textual information into ima…
Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective
Pengfei Wei, Lingdong Kong, Xinghua Qu +4
Unsupervised video domain adaptation is a practical yet challenging task. In this work, for the first time, we tackle it from a disentanglement view. Our key idea is to handle the…
End-to-End Learning for Simultaneously Generating Decision Map and Multi-Focus Image Fusion Result
Boyuan Ma, Xiang Yin, Di Wu +1
The general aim of multi-focus image fusion is to gather focused regions of different images to generate a unique all-in-focus fused image. Deep learning based methods become the m…
SESF-Fuse: An Unsupervised Deep Model for Multi-Focus Image Fusion
Boyuan Ma, Xiaojuan Ban, Haiyou Huang +1
In this work, we propose a novel unsupervised deep learning model to address multi-focus image fusion problem. First, we train an encoder-decoder network in unsupervised manner to…