Search Results for author: Arvind Kumar Shekar

Found 4 papers, 0 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

Self-supervised Semantic Segmentation Grounded in Visual Concepts

no code implementations25 Mar 2022 Wenbin He, William Surmeier, Arvind Kumar Shekar, Liang Gou, Liu Ren

In this work, we propose a self-supervised pixel representation learning method for semantic segmentation by using visual concepts (i. e., groups of pixels with semantic meanings, such as parts, objects, and scenes) extracted from images.

Representation Learning Segmentation +2

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