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.
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.
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 • 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.
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.