Search Results for author: Mengyin Liu

Found 3 papers, 1 papers with code

Unsupervised Multi-view Pedestrian Detection

no code implementations21 May 2023 Mengyin Liu, Chao Zhu, Shiqi Ren, Xu-Cheng Yin

1) Firstly, Semantic-aware Iterative Segmentation (SIS) is proposed to extract unsupervised representations of multi-view images, which are converted into 2D pedestrian masks as pseudo labels, via our proposed iterative PCA and zero-shot semantic classes from vision-language models.

Camera Calibration Pedestrian Detection

VLPD: Context-Aware Pedestrian Detection via Vision-Language Semantic Self-Supervision

1 code implementation CVPR 2023 Mengyin Liu, Jie Jiang, Chao Zhu, Xu-Cheng Yin

Firstly, we propose a self-supervised Vision-Language Semantic (VLS) segmentation method, which learns both fully-supervised pedestrian detection and contextual segmentation via self-generated explicit labels of semantic classes by vision-language models.

Autonomous Driving Pedestrian Detection

Boosting Multi-Modal E-commerce Attribute Value Extraction via Unified Learning Scheme and Dynamic Range Minimization

no code implementations15 Jul 2022 Mengyin Liu, Chao Zhu, Hongyu Gao, Weibo Gu, Hongfa Wang, Wei Liu, Xu-Cheng Yin

2) Secondly, a text-guided information range minimization method is proposed to adaptively encode descriptive parts of each modality into an identical space with a powerful pretrained linguistic model.

Attribute Attribute Value Extraction +2

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