no code implementations • 13 Dec 2023 • Jiafeng Mao, Xueting Wang, Kiyoharu Aizawa
Text-to-image diffusion models allow users control over the content of generated images.
no code implementations • 5 May 2023 • Jiafeng Mao, Xueting Wang, Kiyoharu Aizawa
Diffusion models have the ability to generate high quality images by denoising pure Gaussian noise images.
no code implementations • 26 Apr 2023 • Jiafeng Mao, Xueting Wang
Current large-scale generative models have impressive efficiency in generating high-quality images based on text prompts.
no code implementations • 20 Oct 2021 • Jiafeng Mao, Qing Yu, Yoko Yamakata, Kiyoharu Aizawa
In this study, we propose a new problem setting of training object detectors on datasets with entangled noises of annotations of class labels and bounding boxes.
3 code implementations • 17 Sep 2020 • Yutai Hou, Jiafeng Mao, Yongkui Lai, Cheng Chen, Wanxiang Che, Zhigang Chen, Ting Liu
In this paper, we present FewJoint, a novel Few-Shot Learning benchmark for NLP.