8 citations · 18 across the 5 of their papers we have counts for
5 papers · 1 filter
Bi-directional Distribution Alignment for Transductive Zero-Shot Learning
Zhicai Wang, Yanbin Hao, Tingting Mu +3
It is well-known that zero-shot learning (ZSL) can suffer severely from the problem of domain shift, where the true and learned data distributions for the unseen classes do not mat…
Parameterization of Cross-Token Relations with Relative Positional Encoding for Vision MLP
Zhicai Wang, Yanbin Hao, Xingyu Gao +4
Vision multi-layer perceptrons (MLPs) have shown promising performance in computer vision tasks, and become the main competitor of CNNs and vision Transformers. They use token-mixi…
Ontology-based n-ball Concept Embeddings Informing Few-shot Image Classification
Mirantha Jayathilaka, Tingting Mu, Uli Sattler
We propose a novel framework named ViOCE that integrates ontology-based background knowledge in the form of -ball concept embeddings into a neural network based vision architect…
Visual-Semantic Embedding Model Informed by Structured Knowledge
Mirantha Jayathilaka, Tingting Mu, Uli Sattler
We propose a novel approach to improve a visual-semantic embedding model by incorporating concept representations captured from an external structured knowledge base. We investigat…
Zero-Shot Human-Object Interaction Recognition via Affordance Graphs
Alessio Sarullo, Tingting Mu
We propose a new approach for Zero-Shot Human-Object Interaction Recognition in the challenging setting that involves interactions with unseen actions (as opposed to just unseen co…