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20182025
most citedTransferable Contrastive Network for Generalized Zero-Shot Learning

23 citations · 42 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.CV2025

Visual and Semantic Prompt Collaboration for Generalized Zero-Shot Learning

Huajie Jiang, Zhengxian Li, Xiaohan Yu +4

Generalized zero-shot learning aims to recognize both seen and unseen classes with the help of semantic information that is shared among different classes. It inevitably requires c…

cs.CV2024

Adapter-Enhanced Semantic Prompting for Continual Learning

Baocai Yin, Ji Zhao, Huajie Jiang +5

Continual learning (CL) enables models to adapt to evolving data streams. A major challenge of CL is catastrophic forgetting, where new knowledge will overwrite previously acquired…

cs.CV2022

Unsupervised Coherent Video Cartoonization with Perceptual Motion Consistency

Zhenhuan Liu, Liang Li, Huajie Jiang +4

In recent years, creative content generations like style transfer and neural photo editing have attracted more and more attention. Among these, cartoonization of real-world scenes…

cs.CV2019★ 23 cited

Transferable Contrastive Network for Generalized Zero-Shot Learning

Huajie Jiang, Ruiping Wang, Shiguang Shan +1

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…

cs.CV2018★ 19 cited

Learning Class Prototypes via Structure Alignment for Zero-Shot Recognition

Huajie Jiang, Ruiping Wang, Shiguang Shan +1

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 a…