Learning Procedure-aware Video Representation from Instructional Videos and Their Narrations

1 code implementation • CVPR 2023 • Yiwu Zhong, Licheng Yu, Yang Bai, Shangwen Li, Xueting Yan, Yin Li

In this work, we propose to learn video representation that encodes both action steps and their temporal ordering, based on a large-scale dataset of web instructional videos and their narrations, without using human annotations.

Supporting Clustering with Contrastive Learning

2 code implementations • NAACL 2021 • Dejiao Zhang, Feng Nan, Xiaokai Wei, Shangwen Li, Henghui Zhu, Kathleen McKeown, Ramesh Nallapati, Andrew Arnold, Bing Xiang

Unsupervised clustering aims at discovering the semantic categories of data according to some distance measured in the representation space.

Clustering Contrastive Learning +1