Arvind Kumar Shekar

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 15

Top Topics

Visual Analytics

Top Venues

IEEE Trans. Vis. Comput. Graph.

Int. J. Comput. Vis.

Publications

Md. Naimul Hoque, Wenbin He, Arvind Kumar Shekar, Liang Gou, Liu Ren
Visual Concept Programming: A Visual Analytics Approach to Injecting Human Intelligence at Scale. IEEE Trans. Vis. Comput. Graph. 29 (1) (2023)
Wenbin He, William Surmeier, Arvind Kumar Shekar, Liang Gou, Liu Ren
Self-supervised Semantic Segmentation Grounded in Visual Concepts. CoRR (2022)
Wenbin He, Lincan Zou, Arvind Kumar Shekar, Liang Gou, Liu Ren
Where Can We Help? A Visual Analytics Approach to Diagnosing and Improving Semantic Segmentation of Movable Objects. IEEE Trans. Vis. Comput. Graph. 28 (1) (2022)
Arvind Kumar Shekar, Laureen Lake, Liang Gou, Liu Ren
Novelty-based Generalization Evaluation for Traffic Light Detection. CoRR (2022)
Wenbin He, William Surmeier, Arvind Kumar Shekar, Liang Gou, Liu Ren
Self-supervised Semantic Segmentation Grounded in Visual Concepts. IJCAI (2022)
Arvind Kumar Shekar, Liang Gou, Liu Ren, Axel Wendt
Label-Free Robustness Estimation of Object Detection CNNs for Autonomous Driving Applications. Int. J. Comput. Vis. 129 (4) (2021)
Arvind Kumar Shekar, Laureen Lake, Liang Gou, Liu Ren
Novelty-based Generalization Evaluation for Traffic Light Detection. ICMLA (2021)
Liang Gou, Lincan Zou, Nanxiang Li, Michael Hofmann, Arvind Kumar Shekar, Axel Wendt, Liu Ren
VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection. IEEE Trans. Vis. Comput. Graph. 27 (2) (2021)
Liang Gou, Lincan Zou, Nanxiang Li, Michael Hofmann, Arvind Kumar Shekar, Axel Wendt, Liu Ren
VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection. CoRR (2020)
Cláudio Rebelo de Sá, Arvind Kumar Shekar, Hugo M. Ferreira, Carlos Soares
Building Robust Prediction Models for Defective Sensor Data Using Artificial Neural Networks. SOCO (2019)
Arvind Kumar Shekar, Marcus Pappik, Patricia Iglesias Sánchez, Emmanuel Müller
Selection of Relevant and Non-Redundant Multivariate Ordinal Patterns for Time Series Classification. DS (2018)
Arvind Kumar Shekar, Cláudio Rebelo de Sá, Hugo Ferreira, Carlos Soares
Building robust prediction models for defective sensor data using Artificial Neural Networks. CoRR (2018)
Arvind Kumar Shekar, Patricia Iglesias Sánchez, Emmanuel Müller
Diverse Selection of Feature Subsets for Ensemble Regression. DaWaK (2017)
Louis Kirsch, Niklas Riekenbrauck, Daniel Thevessen, Marcus Pappik, Axel Stebner, Julius Kunze, Alexander Meissner, Arvind Kumar Shekar, Emmanuel Müller
Framework for Exploring and Understanding Multivariate Correlations. ECML/PKDD (3) (2017)
Arvind Kumar Shekar, Tom Bocklisch, Patricia Iglesias Sánchez, Christoph Nikolas Straehle, Emmanuel Müller
Including Multi-feature Interactions and Redundancy for Feature Ranking in Mixed Datasets. ECML/PKDD (1) (2017)