23 citations · 42 across the 6 of their papers we have counts for
6 papers
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…
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…
Query-Enhanced Adaptive Semantic Path Reasoning for Inductive Knowledge Graph Completion
Kai Sun, Jiapu Wang, Huajie Jiang +2
Conventional Knowledge graph completion (KGC) methods aim to infer missing information in incomplete Knowledge Graphs (KGs) by leveraging existing information, which struggle to pe…
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…
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…
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…