no code implementations • 12 Sep 2023 • Moyan Li, Jinmiao Fu, Shaoyuan Xu, Huidong Liu, Jia Liu, Bryan Wang
Unlike public data, another practical challenge on shopping websites is that some paired images are of low quality.
no code implementations • 11 Sep 2023 • Chien-Chih Wang, Shaoyuan Xu, Jinmiao Fu, Yang Liu, Bryan Wang
Firstly, an outer SNN is trained using labeled and unlabeled data.
1 code implementation • 6 Mar 2022 • Yanhui Guo, Fangzhou Luo, Shaoyuan Xu
For image restoration, methods leveraging priors from generative models have been proposed and demonstrated a promising capacity to robustly restore photorealistic and high-quality results.
no code implementations • 7 Dec 2021 • Huidong Liu, Shaoyuan Xu, Jinmiao Fu, Yang Liu, Ning Xie, Chien-Chih Wang, Bryan Wang, Yi Sun
In this paper, we propose the Cross-Modality Attention Contrastive Language-Image Pre-training (CMA-CLIP), a new framework which unifies two types of cross-modality attentions, sequence-wise attention and modality-wise attention, to effectively fuse information from image and text pairs.
no code implementations • 30 Jul 2020 • Xiaoyu Xiang, Yang Cheng, Shaoyuan Xu, Qian Lin, Jan Allebach
The evolving algorithms for 2D facial landmark detection empower people to recognize faces, analyze facial expressions, etc.