7 citations · 10 across the 5 of their papers we have counts for
5 papers
VISLIX: An XAI Framework for Validating Vision Models with Slice Discovery and Analysis
Xinyuan Yan, Xiwei Xuan, Jorge Piazentin Ono +6
Real-world machine learning models require rigorous evaluation before deployment, especially in safety-critical domains like autonomous driving and surveillance. The evaluation of…
Self-supervised Semantic Segmentation Grounded in Visual Concepts
Wenbin He, William Surmeier, Arvind Kumar Shekar +2
Unsupervised semantic segmentation requires assigning a label to every pixel without any human annotations. Despite recent advances in self-supervised representation learning for i…
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…
Building robust prediction models for defective sensor data using Artificial Neural Networks
Arvind Kumar Shekar, Cláudio Rebelo de Sá, Hugo Ferreira +1
Predicting the health of components in complex dynamic systems such as an automobile poses numerous challenges. The primary aim of such predictive systems is to use the high-dimens…