Search Results for author: Liang Gou

Found 3 papers, 1 papers with code

VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection

no code implementations27 Sep 2020 Liang Gou, Lincan Zou, Nanxiang Li, Michael Hofmann, Arvind Kumar Shekar, Axel Wendt, Liu Ren

In this work, we propose a visual analytics system, VATLD, equipped with a disentangled representation learning and semantic adversarial learning, to assess, understand, and improve the accuracy and robustness of traffic light detectors in autonomous driving applications.

Autonomous Driving Decision Making +1

Towards a Flexible Embedding Learning Framework

no code implementations23 Sep 2020 Chin-Chia Michael Yeh, Dhruv Gelda, Zhongfang Zhuang, Yan Zheng, Liang Gou, Wei zhang

Our proposed framework utilizes a set of entity-relation-matrices as the input, which quantifies the affinities among different entities in the database.

Representation Learning

Dynamic Graph Representation Learning via Self-Attention Networks

2 code implementations22 Dec 2018 Aravind Sankar, Yanhong Wu, Liang Gou, Wei zhang, Hao Yang

Learning latent representations of nodes in graphs is an important and ubiquitous task with widespread applications such as link prediction, node classification, and graph visualization.

General Classification Graph Embedding +3

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