no code implementations • COLING 2022 • Haoxiang Shi, Rongsheng Zhang, Jiaan Wang, Cen Wang, Yinhe Zheng, Tetsuya Sakai
Pre-trained Language Models (PLMs) are the cornerstone of the modern Natural Language Processing (NLP).
no code implementations • 20 May 2024 • Haoxiang Shi, Jiaan Wang, Jiarong Xu, Cen Wang, Tetsuya Sakai
Our preliminary analysis of English text-to-table datasets highlights two key factors for dataset construction: data diversity and data hallucination.
no code implementations • Asian Chapter of the Association for Computational Linguistics 2020 • Haoxiang Shi, Cen Wang, Tetsuya Sakai
This paper presents a deep neural architecture which applies the siamese convolutional neural network sharing model parameters for learning a semantic similarity metric between two sentences.
no code implementations • 17 Nov 2020 • Haoxiang Shi, Cen Wang
Contrastive learning is a promising approach to unsupervised learning, as it inherits the advantages of well-studied deep models without a dedicated and complex model design.
no code implementations • 7 Mar 2019 • Yuanxi Ma, Cen Wang, Shiying Li, Jingyi Yu
Robust segmentation of hair from portrait images remains challenging: hair does not conform to a uniform shape, style or even color; dark hair in particular lacks features.
no code implementations • CVPR 2018 • Xuan Cao, Zhang Chen, Anpei Chen, Xin Chen, Cen Wang, Jingyi Yu
We present a novel 3D face reconstruction technique that leverages sparse photometric stereo (PS) and latest advances on face registration/modeling from a single image.