18 citations · 36 across the 5 of their papers we have counts for
5 papers · 1 filter
Region Semantically Aligned Network for Zero-Shot Learning
Ziyang Wang, Yunhao Gou, Jingjing Li +2
Zero-shot learning (ZSL) aims to recognize unseen classes based on the knowledge of seen classes. Previous methods focused on learning direct embeddings from global features to the…
Universal Weighting Metric Learning for Cross-Modal Matching
Jiwei Wei, Xing Xu, Yang Yang +3
Cross-modal matching has been a highlighted research topic in both vision and language areas. Learning appropriate mining strategy to sample and weight informative pairs is crucial…
From Zero-Shot Learning to Cold-Start Recommendation
Jingjing Li, Mengmeng Jing, Ke Lu +3
Zero-shot learning (ZSL) and cold-start recommendation (CSR) are two challenging problems in computer vision and recommender system, respectively. In general, they are independentl…
One-Shot Image-to-Image Translation via Part-Global Learning with a Multi-adversarial Framework
Ziqiang Zheng, Zhibin Yu, Haiyong Zheng +2
It is well known that humans can learn and recognize objects effectively from several limited image samples. However, learning from just a few images is still a tremendous challeng…
A Large-scale Varying-view RGB-D Action Dataset for Arbitrary-view Human Action Recognition
Yanli Ji, Feixiang Xu, Yang Yang +3
Current researches of action recognition mainly focus on single-view and multi-view recognition, which can hardly satisfies the requirements of human-robot interaction (HRI) applic…