1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2021★ 1 cited
IDEAL: Independent Domain Embedding Augmentation Learning
Zhiyuan Chen, Guang Yao, Wennan Ma +1
Many efforts have been devoted to designing sampling, mining, and weighting strategies in high-level deep metric learning (DML) loss objectives. However, little attention has been…
cs.CV2021
Towards an efficient framework for Data Extraction from Chart Images
Weihong Ma, Hesuo Zhang, Shuang Yan +5
In this paper, we fill the research gap by adopting state-of-the-art computer vision techniques for the data extraction stage in a data mining system. As shown in Fig.1, this stage…
cs.CV2020
Deep Variational Luenberger-type Observer for Stochastic Video Prediction
Dong Wang, Feng Zhou, Zheng Yan +4
Considering the inherent stochasticity and uncertainty, predicting future video frames is exceptionally challenging. In this work, we study the problem of video prediction by combi…