<i>VISLIX</i>: An XAI Framework for Validating Vision Models with Slice Discovery and Analysis.

Arvind Kumar Shekar

Xinyuan Yan Xiwei Xuan Jorge Piazentin Ono Jiajing Guo Vikram Mohanty Arvind Kumar Shekar Liang Gou Bei Wang 0001 Liu Ren <i>VISLIX</i>: An XAI Framework for Validating Vision Models with Slice Discovery and Analysis. 2025 44 Comput. Graph. Forum 3 https://doi.org/10.1111/cgf.70125 db/journals/cgf/cgf44.html#YanXOGMSGWR25 streams/journals/cgf

Xinyuan Yan Xiwei Xuan Jorge Piazentin Ono Jiajing Guo Vikram Mohanty Arvind Kumar Shekar Liang Gou Bei Wang 0001 Liu Ren VISLIX: An XAI Framework for Validating Vision Models with Slice Discovery and Analysis. 2025 May abs/2505.03132 CoRR https://doi.org/10.48550/arXiv.2505.03132 db/journals/corr/corr2505.html#abs-2505-03132 streams/journals/corr

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. 74-83 2023 29 IEEE Trans. Vis. Comput. Graph. 1 https://doi.org/10.1109/TVCG.2022.3209466 db/journals/tvcg/tvcg29.html#HoqueHSGR23

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. 1040-1050 2022 28 IEEE Trans. Vis. Comput. Graph. 1 https://doi.org/10.1109/TVCG.2021.3114855 db/journals/tvcg/tvcg28.html#HeZSGR22

Wenbin He William Surmeier Arvind Kumar Shekar Liang Gou Liu Ren Self-supervised Semantic Segmentation Grounded in Visual Concepts. 949-955 2022 IJCAI https://doi.org/10.24963/ijcai.2022/133 conf/ijcai/2022 db/conf/ijcai/ijcai2022.html#HeSSGR22

Arvind Kumar Shekar Laureen Lake Liang Gou Liu Ren Novelty-based Generalization Evaluation for Traffic Light Detection. 2022 abs/2201.00531 CoRR https://arxiv.org/abs/2201.00531 db/journals/corr/corr2201.html#abs-2201-00531

Wenbin He William Surmeier Arvind Kumar Shekar Liang Gou Liu Ren Self-supervised Semantic Segmentation Grounded in Visual Concepts. 2022 abs/2203.13868 CoRR https://doi.org/10.48550/arXiv.2203.13868 db/journals/corr/corr2203.html#abs-2203-13868

Arvind Kumar Shekar Liang Gou Liu Ren Axel Wendt Label-Free Robustness Estimation of Object Detection CNNs for Autonomous Driving Applications. 1185-1201 2021 129 Int. J. Comput. Vis. 4 https://doi.org/10.1007/s11263-020-01423-x db/journals/ijcv/ijcv129.html#ShekarGRW21

Liang Gou Lincan Zou Nanxiang Li Michael Hofmann 0010 Arvind Kumar Shekar Axel Wendt Liu Ren VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection. 261-271 2021 27 IEEE Trans. Vis. Comput. Graph. 2 https://doi.org/10.1109/TVCG.2020.3030350 https://www.wikidata.org/entity/Q100739567 db/journals/tvcg/tvcg27.html#GouZLHSWR21

Arvind Kumar Shekar Laureen Lake Liang Gou Liu Ren Novelty-based Generalization Evaluation for Traffic Light Detection. 159-165 2021 ICMLA https://doi.org/10.1109/ICMLA52953.2021.00032 conf/icmla/2021 db/conf/icmla/icmla2021.html#ShekarLGR21 Arvind Kumar Shekar Multivariate Correlation Analysis for Supervised Feature Selection in High-Dimensional Data University of Bonn, Germany 2020 base-search.net (ftunivbonn:oai:bonndoc.ulb.uni-bonn.de:20.500.11811/8303) https://hdl.handle.net/20.500.11811/8303 https://www.base-search.net/Record/36830518789fb38ade54dd32e8eaca83441955334670ec4c3e3983a57ce99e6d

Liang Gou Lincan Zou Nanxiang Li Michael Hofmann 0010 Arvind Kumar Shekar Axel Wendt Liu Ren VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection. 2020 abs/2009.12975 CoRR https://arxiv.org/abs/2009.12975 db/journals/corr/corr2009.html#abs-2009-12975

Cláudio Rebelo de Sá Arvind Kumar Shekar Hugo M. Ferreira Carlos Soares Building Robust Prediction Models for Defective Sensor Data Using Artificial Neural Networks. 142-153 2019 SOCO https://doi.org/10.1007/978-3-030-20055-8_14 conf/softcomp/2019 db/conf/softcomp/soco2019.html#SaSFS19 Arvind Kumar Shekar Marcus Pappik Patricia Iglesias Sánchez Emmanuel Müller Selection of Relevant and Non-Redundant Multivariate Ordinal Patterns for Time Series Classification. 224-240 2018 DS https://doi.org/10.1007/978-3-030-01771-2_15 conf/dis/2018 db/conf/dis/dis2018.html#ShekarPSM18

Arvind Kumar Shekar Cláudio Rebelo de Sá Hugo Ferreira 0004 Carlos Soares Building robust prediction models for defective sensor data using Artificial Neural Networks. 2018 abs/1804.05544 CoRR http://arxiv.org/abs/1804.05544 db/journals/corr/corr1804.html#abs-1804-05544

Arvind Kumar Shekar Patricia Iglesias Sánchez Emmanuel Müller Diverse Selection of Feature Subsets for Ensemble Regression. 259-273 2017 DaWaK https://doi.org/10.1007/978-3-319-64283-3_19 conf/dawak/2017 db/conf/dawak/dawak2017.html#ShekarSM17 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. 239-255 2017 ECML/PKDD (1) https://doi.org/10.1007/978-3-319-71249-9_15 conf/pkdd/2017-1 db/conf/pkdd/pkdd2017-1.html#ShekarBSSM17 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. 404-408 2017 ECML/PKDD (3) https://doi.org/10.1007/978-3-319-71273-4_40 conf/pkdd/2017-3 db/conf/pkdd/pkdd2017-3.html#KirschRTPSKMSM17 Tom Bocklisch Hugo Ferreira 0004 Hugo M. Ferreira Liang Gou Jiajing Guo Wenbin He Michael Hofmann 0010 Md. Naimul Hoque Louis Kirsch Julius Kunze Laureen Lake Nanxiang Li Ren LiuLiu Ren Alexander Meissner Vikram Mohanty Emmanuel Müller Jorge Henrique Piazentin OnoJorge Piazentin Ono Marcus Pappik Niklas Riekenbrauck Cláudio Rebelo de Sá Patricia Iglesias Sánchez Carlos Soares Axel Stebner Christoph N. StraehleChristoph Nikolas Straehle William Surmeier Daniel Thevessen Bei Wang 0001 Axel Wendt Xiwei Xuan Xinyuan Yan Lincan Zou