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ORCIDArvind Kumar Shekar
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2020 – today
- 2023
[j4]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): 74-83 (2023)- 2022
- [j3]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): 1040-1050 (2022) - [c7]Wenbin He, William Surmeier, Arvind Kumar Shekar, Liang Gou, Liu Ren:
Self-supervised Semantic Segmentation Grounded in Visual Concepts. IJCAI 2022: 949-955 - [i4]Arvind Kumar Shekar, Laureen Lake, Liang Gou, Liu Ren:
Novelty-based Generalization Evaluation for Traffic Light Detection. CoRR abs/2201.00531 (2022) - [i3]Wenbin He, William Surmeier, Arvind Kumar Shekar, Liang Gou, Liu Ren:
Self-supervised Semantic Segmentation Grounded in Visual Concepts. CoRR abs/2203.13868 (2022) - 2021
- [j2]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): 1185-1201 (2021) - [j1]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): 261-271 (2021) - [c6]Arvind Kumar Shekar, Laureen Lake, Liang Gou, Liu Ren:
Novelty-based Generalization Evaluation for Traffic Light Detection. ICMLA 2021: 159-165 - 2020
- [b1]Arvind Kumar Shekar:
Multivariate Correlation Analysis for Supervised Feature Selection in High-Dimensional Data. University of Bonn, Germany, 2020 - [i2]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 abs/2009.12975 (2020)
2010 – 2019
- 2019
- [c5]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: 142-153 - 2018
- [c4]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: 224-240 - [i1]Arvind Kumar Shekar, Cláudio Rebelo de Sá, Hugo Ferreira, Carlos Soares:
Building robust prediction models for defective sensor data using Artificial Neural Networks. CoRR abs/1804.05544 (2018) - 2017
- [c3]Arvind Kumar Shekar, Patricia Iglesias Sánchez, Emmanuel Müller:
Diverse Selection of Feature Subsets for Ensemble Regression. DaWaK 2017: 259-273 - [c2]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: 239-255 - [c1]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: 404-408
Coauthor Index
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