Arvind Kumar Shekar

17 papers A* 1B 2C 1Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
VISLIX: An XAI Framework for Validating Vision Models with Slice Discovery and Analysis.
CoRR
Xinyuan Yan, Xiwei Xuan, Jorge Piazentin Ono, Jiajing Guo, Vikram Mohanty, Arvind Kumar Shekar, Liang Gou, Bei Wang, Liu Ren
2023 J jnl
Visual Concept Programming: A Visual Analytics Approach to Injecting Human Intelligence at Scale.
IEEE Trans. Vis. Comput. Graph.
Md. Naimul Hoque, Wenbin He, Arvind Kumar Shekar, Liang Gou, Liu Ren
2022 J jnl
Novelty-based Generalization Evaluation for Traffic Light Detection.
CoRR
Arvind Kumar Shekar, Laureen Lake, Liang Gou, Liu Ren
2022 A* conf
Self-supervised Semantic Segmentation Grounded in Visual Concepts.
IJCAI
Wenbin He, William Surmeier, Arvind Kumar Shekar, Liang Gou, Liu Ren
2022 J jnl
Self-supervised Semantic Segmentation Grounded in Visual Concepts.
CoRR
Wenbin He, William Surmeier, Arvind Kumar Shekar, Liang Gou, Liu Ren
2022 J jnl
Where Can We Help? A Visual Analytics Approach to Diagnosing and Improving Semantic Segmentation of Movable Objects.
IEEE Trans. Vis. Comput. Graph.
Wenbin He, Lincan Zou, Arvind Kumar Shekar, Liang Gou, Liu Ren
2021 J jnl
Label-Free Robustness Estimation of Object Detection CNNs for Autonomous Driving Applications.
Int. J. Comput. Vis.
Arvind Kumar Shekar, Liang Gou, Liu Ren, Axel Wendt
2021 C conf
Novelty-based Generalization Evaluation for Traffic Light Detection.
ICMLA
Arvind Kumar Shekar, Laureen Lake, Liang Gou, Liu Ren
2021 J jnl
VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection.
IEEE Trans. Vis. Comput. Graph.
Liang Gou, Lincan Zou, Nanxiang Li, Michael Hofmann, Arvind Kumar Shekar, Axel Wendt, Liu Ren
2020 — —
Multivariate Correlation Analysis for Supervised Feature Selection in High-Dimensional Data
Arvind Kumar Shekar
2020 J jnl
VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection.
CoRR
Liang Gou, Lincan Zou, Nanxiang Li, Michael Hofmann, Arvind Kumar Shekar, Axel Wendt, Liu Ren
2019 — conf
Building Robust Prediction Models for Defective Sensor Data Using Artificial Neural Networks.
SOCO
Cláudio Rebelo de Sá, Arvind Kumar Shekar, Hugo M. Ferreira, Carlos Soares
2018 J jnl
Building robust prediction models for defective sensor data using Artificial Neural Networks.
CoRR
Arvind Kumar Shekar, Cláudio Rebelo de Sá, Hugo Ferreira, Carlos Soares
2018 B conf
Selection of Relevant and Non-Redundant Multivariate Ordinal Patterns for Time Series Classification.
DS
Arvind Kumar Shekar, Marcus Pappik, Patricia Iglesias Sánchez, Emmanuel Müller
2017 B conf
Diverse Selection of Feature Subsets for Ensemble Regression.
DaWaK
Arvind Kumar Shekar, Patricia Iglesias Sánchez, Emmanuel Müller
2017 — conf
Framework for Exploring and Understanding Multivariate Correlations.
ECML/PKDD (3)
Louis Kirsch, Niklas Riekenbrauck, Daniel Thevessen, Marcus Pappik, Axel Stebner, Julius Kunze, Alexander Meissner, Arvind Kumar Shekar, Emmanuel Müller
2017 — conf
Including Multi-feature Interactions and Redundancy for Feature Ranking in Mixed Datasets.
ECML/PKDD (1)
Arvind Kumar Shekar, Tom Bocklisch, Patricia Iglesias Sánchez, Christoph Nikolas Straehle, Emmanuel Müller