7 citations · 13 across the 4 of their papers we have counts for
5 papers
Novelty-based Generalization Evaluation for Traffic Light Detection
Arvind Kumar Shekar, Laureen Lake, Liang Gou +1
The advent of Convolutional Neural Networks (CNNs) has led to their application in several domains. One noteworthy application is the perception system for autonomous driving that…
VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection
Liang Gou, Lincan Zou, Nanxiang Li +4
Traffic light detection is crucial for environment perception and decision-making in autonomous driving. State-of-the-art detectors are built upon deep Convolutional Neural Network…
Towards a Flexible Embedding Learning Framework
Chin-Chia Michael Yeh, Dhruv Gelda, Zhongfang Zhuang +3
Representation learning is a fundamental building block for analyzing entities in a database. While the existing embedding learning methods are effective in various data mining pro…
Dynamic Graph Representation Learning via Self-Attention Networks
Aravind Sankar, Yanhong Wu, Liang Gou +2
Learning latent representations of nodes in graphs is an important and ubiquitous task with widespread applications such as link prediction, node classification, and graph visualiz…
Raising Awareness of Conveyed Personality In Social Media Traces
Bin Xu, Liang Gou, Anbang Xu +2
Users' persistent social media contents like posts on Facebook Timeline are presented as an "exhibition" about the person to others, and managing these exhibitional contents for im…