3 citations · 3 across the 4 of their papers we have counts for
5 papers
Online Deep Metric Learning via Mutual Distillation
Gao-Dong Liu, Wan-Lei Zhao, Jie Zhao
Deep metric learning aims to transform input data into an embedding space, where similar samples are close while dissimilar samples are far apart from each other. In practice, samp…
Cross-View Exocentric to Egocentric Video Synthesis
Gaowen Liu, Hao Tang, Hugo Latapie +2
Cross-view video synthesis task seeks to generate video sequences of one view from another dramatically different view. In this paper, we investigate the exocentric (third-person)…
A Metamodel and Framework for Artificial General Intelligence From Theory to Practice
Hugo Latapie, Ozkan Kilic, Gaowen Liu +7
This paper introduces a new metamodel-based knowledge representation that significantly improves autonomous learning and adaptation. While interest in hybrid machine learning / sym…
Exocentric to Egocentric Image Generation via Parallel Generative Adversarial Network
Gaowen Liu, Hao Tang, Hugo Latapie +1
Cross-view image generation has been recently proposed to generate images of one view from another dramatically different view. In this paper, we investigate exocentric (third-pers…
Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation
Hao Tang, Dan Xu, Gaowen Liu +3
In this work, we propose a novel Cycle In Cycle Generative Adversarial Network (CGAN) for the task of keypoint-guided image generation. The proposed CGAN is a cross-modal f…