1 code implementation • 2 Apr 2022 • Zhenhuan Liu, Liang Li, Huajie Jiang, Xin Jin, Dandan Tu, Shuhui Wang, Zheng-Jun Zha
Furthermore, we devise the spatio-temporal correlative map as a style-independent, global-aware regularization on the perceptual motion consistency.
no code implementations • ICCV 2019 • Huajie Jiang, Ruiping Wang, Shiguang Shan, Xilin Chen
Zero-shot learning (ZSL) is a challenging problem that aims to recognize the target categories without seen data, where semantic information is leveraged to transfer knowledge from some source classes.
Ranked #6 on Zero-Shot Learning on SUN Attribute
no code implementations • ECCV 2018 • Huajie Jiang, Ruiping Wang, Shiguang Shan, Xilin Chen
Zero-shot learning (ZSL) aims to recognize objects of novel classes without any training samples of specific classes, which is achieved by exploiting the semantic information and auxiliary datasets.
no code implementations • ICCV 2017 • Huajie Jiang, Ruiping Wang, Shiguang Shan, Yi Yang, Xilin Chen
Zero-shot learning (ZSL) aims to transfer knowledge from observed classes to the unseen classes, based on the assumption that both the seen and unseen classes share a common semantic space, among which attributes enjoy a great popularity.
no code implementations • ICCV 2015 • Yan Li, Ruiping Wang, Haomiao Liu, Huajie Jiang, Shiguang Shan, Xilin Chen
In this way, the learned binary codes can be applied to not only fine-grained face image retrieval, but also facial attributes prediction, which is the very innovation of this work, just like killing two birds with one stone.