A Theoretical Framework and Evaluation Instrument for the Competence to Use Artificial Intelligence and Digital Technology in Educational Processes.

Visvanathan Ramesh http://www.ccc.cs.uni-frankfurt.de/people/ https://fias.uni-frankfurt.de/neuro/ramesh/ https://scholar.google.com/citations?user=SS10xIgAAAAJ https://mathgenealogy.org/id.php?id=78020 https://orcid.org/0000-0002-8842-905X https://www.wikidata.org/entity/Q102259186 Goethe University Frankfurt, Center for Cognition and Computation, Frankfurt am Main, Germany Frankfurt Institute for Advanced Studies, Frankfurt am Main, Germany Goethe University, Center for Cognition and Computation, Frankfurt am Main, Germany Siemens Corporate Research Inc.

Andreas Frey Cosima Schenk Lara Weiß Christoph König Visvanathan Ramesh Sabine Fabriz Hendrik Drachsler Holger Horz A Theoretical Framework and Evaluation Instrument for the Competence to Use Artificial Intelligence and Digital Technology in Educational Processes. 2026 14 Syst. 5 https://doi.org/10.3390/systems14050583 db/journals/systems/systems14.html#FreySWKRFDH26 streams/journals/systems

Johannes Flotzinger Fabian Deuser Achref Jaziri Heiko Neumann Norbert Oswald Visvanathan Ramesh Thomas Braml synth-dacl: Does Synthetic Defect Data Enhance Segmentation Accuracy and Robustness for Real-World Bridge Inspections? 387-402 2025 DAGM GCPR https://doi.org/10.1007/978-3-032-12840-9_25 conf/dagm/2025 db/conf/dagm/gcpr2025.html#FlotzingerDJNORB25 streams/conf/dagm

Sina Ditzel Achref Jaziri Iuliia Pliushch Visvanathan Ramesh Uncertainty-Aware Decomposed Hybrid Networks. 2025 March abs/2503.19096 CoRR https://doi.org/10.48550/arXiv.2503.19096 db/journals/corr/corr2503.html#abs-2503-19096 streams/journals/corr

Johannes Flotzinger Fabian Deuser Achref Jaziri Heiko Neumann Norbert Oswald Visvanathan Ramesh Thomas Braml synth-dacl: Does Synthetic Defect Data Enhance Segmentation Accuracy and Robustness for Real-World Bridge Inspections? 2025 June abs/2506.14255 CoRR https://doi.org/10.48550/arXiv.2506.14255 db/journals/corr/corr2506.html#abs-2506-14255 streams/journals/corr

Etienne Künzel Achref Jaziri Visvanathan Ramesh A Simple Baseline for Stable and Plastic Neural Networks. 2025 July abs/2507.10637 CoRR https://doi.org/10.48550/arXiv.2507.10637 db/journals/corr/corr2507.html#abs-2507-10637 streams/journals/corr

Achref Jaziri Martin Rogmann Martin Mundt Visvanathan Ramesh Beyond Binary Out-of-Distribution Detection: Characterizing Distributional Shifts with Multi-Statistic Diffusion Trajectories. 2025 October abs/2510.17381 CoRR https://doi.org/10.48550/arXiv.2510.17381 db/journals/corr/corr2510.html#abs-2510-17381 streams/journals/corr

Achref Jaziri Sina Ditzel Iuliia Pliushch Visvanathan Ramesh Representation Learning in a Decomposed Encoder Design for Bio-Inspired Hebbian Learning. 203-213 2024 ECCV Workshops (14) https://doi.org/10.1007/978-3-031-91578-9_14 conf/eccv/2024-w14 db/conf/eccv/eccv2024-w14.html#JaziriDPR24 streams/conf/eccv Achref Jaziri Martin Mundt Andres Fernandez Rodriguez Visvanathan Ramesh Designing a Hybrid Neural System to Learn Real-world Crack Segmentation from Fractal-based Simulation. 8621-8631 2024 WACV https://doi.org/10.1109/WACV57701.2024.00844 conf/wacv/2024 db/conf/wacv/wacv2024.html#JaziriMRR24

Achref Jaziri Sina Ditzel Iuliia Pliushch Visvanathan Ramesh Representation Learning in a Decomposed Encoder Design for Bio-inspired Hebbian Learning. 2024 abs/2401.08603 CoRR https://doi.org/10.48550/arXiv.2401.08603 db/journals/corr/corr2401.html#abs-2401-08603

Achref Jaziri Etienne Künzel Visvanathan Ramesh Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion. 2024 abs/2408.09838 CoRR https://doi.org/10.48550/arXiv.2408.09838 db/journals/corr/corr2408.html#abs-2408-09838 streams/journals/corr

Martin Mundt Yongwon Hong Iuliia Pliushch Visvanathan Ramesh A wholistic view of continual learning with deep neural networks: Forgotten lessons and the bridge to active and open world learning. 306-336 2023 March 160 Neural Networks https://doi.org/10.1016/j.neunet.2023.01.014 db/journals/nn/nn160.html#MundtHPR23

Achref Jaziri Martin Mundt Andres Fernandez Rodriguez Visvanathan Ramesh Designing a Hybrid Neural System to Learn Real-world Crack Segmentation from Fractal-based Simulation. 2023 abs/2309.09637 CoRR https://doi.org/10.48550/arXiv.2309.09637 db/journals/corr/corr2309.html#abs-2309-09637

Martin Mundt Iuliia Pliushch Sagnik Majumder Yong Won Hong Visvanathan Ramesh Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition. 93 2022 8 J. Imaging 4 https://doi.org/10.3390/jimaging8040093 db/journals/jimaging/jimaging8.html#MundtPMHR22

Iuliia Pliushch Martin Mundt Nicolas Lupp Visvanathan Ramesh When Deep Classifiers Agree: Analyzing Correlations Between Learning Order and Image Statistics. 397-413 2022 ECCV (8) https://doi.org/10.1007/978-3-031-20074-8_23 conf/eccv/2022-8 db/conf/eccv/eccv2022-8.html#PliushchMLR22 Martin Mundt Iuliia Pliushch Visvanathan Ramesh Neural Architecture Search of Deep Priors: Towards Continual Learning Without Catastrophic Interference. 3523-3532 2021 CVPR Workshops https://openaccess.thecvf.com/content/CVPR2021W/CLVision/html/Mundt_Neural_Architecture_Search_of_Deep_Priors_Towards_Continual_Learning_Without_CVPRW_2021_paper.html https://doi.org/10.1109/CVPRW53098.2021.00391 conf/cvpr/2021w db/conf/cvpr/cvprw2021.html#MundtPR21 Timm Hess Martin Mundt Iuliia Pliushch Visvanathan Ramesh A Procedural World Generation Framework for Systematic Evaluation of Continual Learning. 2021 NeurIPS Datasets and Benchmarks https://datasets-benchmarks-proceedings.neurips.cc/paper/2021/hash/d645920e395fedad7bbbed0eca3fe2e0-Abstract-round1.html conf/nips/2021db db/conf/nips/neurips2021db.html#HessMPR21

Martin Mundt Iuliia Pliushch Visvanathan Ramesh Neural Architecture Search of Deep Priors: Towards Continual Learning without Catastrophic Interference. 2021 abs/2104.06788 CoRR https://arxiv.org/abs/2104.06788 db/journals/corr/corr2104.html#abs-2104-06788

Iuliia Pliushch Martin Mundt Nicolas Lupp Visvanathan Ramesh When Deep Classifiers Agree: Analyzing Correlations between Learning Order and Image Statistics. 2021 abs/2105.08997 CoRR https://arxiv.org/abs/2105.08997 db/journals/corr/corr2105.html#abs-2105-08997

Timm Hess Martin Mundt Iuliia Pliushch Visvanathan Ramesh A Procedural World Generation Framework for Systematic Evaluation of Continual Learning. 2021 abs/2106.02585 CoRR https://arxiv.org/abs/2106.02585 db/journals/corr/corr2106.html#abs-2106-02585

Kunfeng Wang Fei-Yue Wang 0001 Visvanathan Ramesh Ashish Shrivastava 0001 David Vázquez 0001 Fuxin Li Generating virtual images for promoting visual artificial intelligence. 112-113 2020 394 Neurocomputing https://doi.org/10.1016/j.neucom.2019.06.038 https://www.wikidata.org/entity/Q127597718 db/journals/ijon/ijon394.html#WangWRSVL20

Neil A. Thacker Carole J. Twining Paul D. Tar Scott Notley Visvanathan Ramesh Fundamental Issues Regarding Uncertainties in Artificial Neural Networks. 2020 abs/2002.11152 CoRR https://arxiv.org/abs/2002.11152 db/journals/corr/corr2002.html#abs-2002-11152

Martin Mundt Yong Won Hong Iuliia Pliushch Visvanathan Ramesh A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning. 2020 abs/2009.01797 CoRR https://arxiv.org/abs/2009.01797 db/journals/corr/corr2009.html#abs-2009-01797

Martin Mundt Sagnik Majumder Sreenivas Murali Panagiotis Panetsos Visvanathan Ramesh Meta-Learning Convolutional Neural Architectures for Multi-Target Concrete Defect Classification With the COncrete DEfect BRidge IMage Dataset. 11196-11205 2019 CVPR http://openaccess.thecvf.com/content_CVPR_2019/html/Mundt_Meta-Learning_Convolutional_Neural_Architectures_for_Multi-Target_Concrete_Defect_Classification_With_CVPR_2019_paper.html https://doi.org/10.1109/CVPR.2019.01145 conf/cvpr/2019 db/conf/cvpr/cvpr2019.html#MundtMMPR19 Martin Mundt Iuliia Pliushch Sagnik Majumder Visvanathan Ramesh Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? 753-757 2019 ICCV Workshops https://doi.org/10.1109/ICCVW.2019.00098 conf/iccvw/2019 db/conf/iccvw/iccvw2019.html#MundtPMR19

Martin Mundt Sagnik Majumder Sreenivas Murali Panagiotis Panetsos Visvanathan Ramesh Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage Dataset. 2019 abs/1904.08486 CoRR http://arxiv.org/abs/1904.08486 db/journals/corr/corr1904.html#abs-1904-08486

Martin Mundt Sagnik Majumder Iuliia Pliushch Visvanathan Ramesh Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition. 2019 abs/1905.12019 CoRR http://arxiv.org/abs/1905.12019 db/journals/corr/corr1905.html#abs-1905-12019

Martin Mundt Iuliia Pliushch Sagnik Majumder Visvanathan Ramesh Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? 2019 abs/1908.09625 CoRR http://arxiv.org/abs/1908.09625 db/journals/corr/corr1908.html#abs-1908-09625

Martin Mundt Sagnik Majumder Tobias Weis Visvanathan Ramesh Rethinking Layer-wise Feature Amounts in Convolutional Neural Network Architectures. 2018 abs/1812.05836 CoRR http://arxiv.org/abs/1812.05836 db/journals/corr/corr1812.html#abs-1812-05836

V. S. R. Veeravasarapu Constantin A. Rothkopf Visvanathan Ramesh Adversarially Tuned Scene Generation. 6441-6449 2017 CVPR https://doi.org/10.1109/CVPR.2017.682 https://doi.ieeecomputersociety.org/10.1109/CVPR.2017.682 conf/cvpr/2017 db/conf/cvpr/cvpr2017.html#VeeravasarapuRR17 Tobias Weis Martin Mundt Patrick Harding Visvanathan Ramesh Anomaly detection for automotive visual signal transition estimation. 1-8 2017 ITSC https://doi.org/10.1109/ITSC.2017.8317605 conf/itsc/2017 db/conf/itsc/itsc2017.html#WeisMHR17 Timm Hess Martin Mundt Tobias Weis Visvanathan Ramesh Large-Scale Stochastic Scene Generation and Semantic Annotation for Deep Convolutional Neural Network Training in the RoboCup SPL. 33-44 2017 RoboCup https://doi.org/10.1007/978-3-030-00308-1_3 conf/robocup/2017 db/conf/robocup/robocup2017.html#HessMWR17 V. S. R. Veeravasarapu Constantin A. Rothkopf Visvanathan Ramesh Model-Driven Simulations for Computer Vision. 1063-1071 2017 WACV https://doi.org/10.1109/WACV.2017.123 https://doi.ieeecomputersociety.org/10.1109/WACV.2017.123 conf/wacv/2017 db/conf/wacv/wacv2017.html#VeeravasarapuRR17

V. S. R. Veeravasarapu Constantin A. Rothkopf Visvanathan Ramesh Adversarially Tuned Scene Generation. 2017 abs/1701.00405 CoRR http://arxiv.org/abs/1701.00405 db/journals/corr/corr1701.html#VeeravasarapuRR17

Martin Mundt Tobias Weis Kishore Konda Visvanathan Ramesh Building effective deep neural network architectures one feature at a time. 2017 abs/1705.06778 CoRR http://arxiv.org/abs/1705.06778 db/journals/corr/corr1705.html#MundtWKR17

V. S. R. Veeravasarapu Constantin A. Rothkopf Visvanathan Ramesh Model-driven Simulations for Deep Convolutional Neural Networks. 2016 abs/1605.09582 CoRR http://arxiv.org/abs/1605.09582 db/journals/corr/corr1605.html#VeeravasarapuRR16

V. S. R. Veeravasarapu Rudra Narayan Hota Constantin A. Rothkopf Visvanathan Ramesh Simulations for Validation of Vision Systems. 2015 abs/1512.01030 CoRR http://arxiv.org/abs/1512.01030 db/journals/corr/corr1512.html#VeeravasarapuHR15

V. S. R. Veeravasarapu Rudra Narayan Hota Constantin A. Rothkopf Visvanathan Ramesh Model Validation for Vision Systems via Graphics Simulation. 2015 abs/1512.01401 CoRR http://arxiv.org/abs/1512.01401 db/journals/corr/corr1512.html#VeeravasarapuHR15a

Jan Ernst Maneesh Kumar Singh 0001 Visvanathan Ramesh Discrete texture traces: Topological representation of geometric context. 422-429 2012 CVPR https://doi.org/10.1109/CVPR.2012.6247704 https://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247704 conf/cvpr/2012 db/conf/cvpr/cvpr2012.html#ErnstSR12 Vasu Parameswaran Vinay D. Shet Visvanathan Ramesh Design and Validation of a System for People Queue Statistics Estimation. 355-373 2012 Video Analytics for Business Intelligence https://doi.org/10.1007/978-3-642-28598-1_11 series/sci/2012-409 db/series/sci/sci409.html#ParameswaranSR12

Vinay D. Shet Maneesh Singh 0001 Claus Bahlmann Visvanathan Ramesh Jan Neumann Larry S. Davis Predicate Logic Based Image Grammars for Complex Pattern Recognition. 141-161 2011 93 Int. J. Comput. Vis. 2 https://doi.org/10.1007/s11263-010-0343-9 db/journals/ijcv/ijcv93.html#ShetSBRND11

Vasu Parameswaran Maneesh Singh 0001 Visvanathan Ramesh Illumination compensation based change detection using order consistency. 1982-1989 2010 CVPR https://doi.org/10.1109/CVPR.2010.5539873 https://doi.ieeecomputersociety.org/10.1109/CVPR.2010.5539873 conf/cvpr/2010 db/conf/cvpr/cvpr2010.html#ParameswaranSR10 Yanghai Tsin Yakup Genc Visvanathan Ramesh Explicit 3D Modeling for Vehicle Monitoring in Non-overlapping Cameras. 110-115 2009 AVSS https://doi.org/10.1109/AVSS.2009.61 https://doi.ieeecomputersociety.org/10.1109/AVSS.2009.61 conf/avss/2009 db/conf/avss/avss2009.html#TsinGR09 Vinay D. Shet Maneesh Singh 0001 Claus Bahlmann Visvanathan Ramesh Predicate logic based image grammars for complex pattern recognition. 7 2009 CVPR Workshops https://doi.org/10.1109/CVPRW.2009.5204328 https://doi.ieeecomputersociety.org/10.1109/CVPRW.2009.5204328 conf/cvpr/2009w db/conf/cvpr/cvprw2009.html#ShetSBR09

Neil A. Thacker Adrian F. Clark John L. Barron J. Ross Beveridge Patrick Courtney William R. Crum Visvanathan Ramesh Christine Clark Performance characterization in computer vision: A guide to best practices. 305-334 2008 109 Comput. Vis. Image Underst. 3 https://doi.org/10.1016/j.cviu.2007.04.006 db/journals/cviu/cviu109.html#ThackerCBBCCRC08

Maneesh Singh 0001 Vasu Parameswaran Visvanathan Ramesh Order consistent change detection via fast statistical significance testing. 2008 CVPR https://doi.org/10.1109/CVPR.2008.4587668 https://doi.ieeecomputersociety.org/10.1109/CVPR.2008.4587668 conf/cvpr/2008 db/conf/cvpr/cvpr2008.html#SinghPR08 Vinay D. Shet Jan Neumann Visvanathan Ramesh Larry S. Davis Bilattice-based Logical Reasoning for Human Detection. 2007 conf/cvpr/2007 CVPR https://doi.org/10.1109/CVPR.2007.383133 https://doi.ieeecomputersociety.org/10.1109/CVPR.2007.383133 db/conf/cvpr/cvpr2007.html#ShetNRD07 Lan Dong Vasu Parameswaran Visvanathan Ramesh Imad Zoghlami Fast Crowd Segmentation Using Shape Indexing. 1-8 2007 ICCV https://doi.org/10.1109/ICCV.2007.4409075 https://doi.ieeecomputersociety.org/10.1109/ICCV.2007.4409075 conf/iccv/2007 db/conf/iccv/iccv2007.html#DongPRZ07 Yanghai Tsin Yakup Genc Ying Zhu 0006 Visvanathan Ramesh Learn to Track Edges. 1-8 2007 ICCV https://doi.org/10.1109/ICCV.2007.4409037 https://doi.ieeecomputersociety.org/10.1109/ICCV.2007.4409037 conf/iccv/2007 db/conf/iccv/iccv2007.html#TsinGZR07 Binglong Xie Visvanathan Ramesh Ying Zhu 0006 Terrance E. Boult On Channel Reliability Measure Training for Multi-Camera Face Recognition. 41 2007 conf/wacv/2007 WACV https://doi.org/10.1109/WACV.2007.46 https://doi.ieeecomputersociety.org/10.1109/WACV.2007.46 db/conf/wacv/wacv2007.html#XieRZB07 Kazunori Okada Maneesh Kumar Singh 0001 Visvanathan Ramesh Prior-Constrained Scale-Space Mean Shift. 829-838 2006 BMVC https://doi.org/10.5244/C.20.85 conf/bmvc/2006 db/conf/bmvc/bmvc2006.html#OkadaSR06 Anurag Mittal Visvanathan Ramesh An Intensity-augmented Ordinal Measure for Visual Correspondence. 849-856 2006 conf/cvpr/2006 CVPR (1) https://doi.org/10.1109/CVPR.2006.56 https://doi.ieeecomputersociety.org/10.1109/CVPR.2006.56 db/conf/cvpr/cvpr2006.html#MittalR06 Vasu Parameswaran Visvanathan Ramesh Imad Zoghlami Tunable Kernels for Tracking. 2179-2186 2006 conf/cvpr/2006 CVPR (2) https://doi.org/10.1109/CVPR.2006.317 https://doi.ieeecomputersociety.org/10.1109/CVPR.2006.317 db/conf/cvpr/cvpr2006.html#ParameswaranRZ06 Visvanathan Ramesh Real-time vision at Siemens Corporate Research. 300-305 2005 AVSS https://doi.org/10.1109/AVSS.2005.1577285 https://doi.ieeecomputersociety.org/10.1109/AVSS.2005.1577285 conf/avss/2005 db/conf/avss/avss2005.html#Ramesh05 Juhua Zhu Ying Zhu 0006 Visvanathan Ramesh Error-metrics for Camera Ego-motion Estimation. 67 2005 CVPR Workshops https://doi.org/10.1109/CVPR.2005.451 https://doi.ieeecomputersociety.org/10.1109/CVPR.2005.451 conf/cvpr/2005w db/conf/cvpr/cvprw2005.html#ZhuZR05 Weiliang Li Xiang Gao Ying Zhu 0006 Visvanathan Ramesh Terrance E. Boult On the Small Sample Performance of Boosted Classifiers. 574-581 2005 conf/cvpr/2005 CVPR (2) https://doi.org/10.1109/CVPR.2005.258 https://doi.ieeecomputersociety.org/10.1109/CVPR.2005.258 db/conf/cvpr/cvpr2005.html#LiGZRB05 Frans Coetzee Visvanathan Ramesh Semi-Automatic Probabilistic Morphological Detection. 769-772 2005 ICASSP (2) https://doi.org/10.1109/ICASSP.2005.1415518 conf/icassp/2005 db/conf/icassp/icassp2005.html#CoetzeeR05 Tony X. Han Visvanathan Ramesh Ying Zhu 0006 Thomas S. Huang On Optimizing Template Matching via Performance Characterization. 182-189 2005 conf/iccv/2005 ICCV https://doi.org/10.1109/ICCV.2005.178 https://doi.ieeecomputersociety.org/10.1109/ICCV.2005.178 db/conf/iccv/iccv2005-1.html#HanRZH05 Kazunori Okada Visvanathan Ramesh Arun Krishnan Maneesh Singh 0001 Umut Akdemir Robust Pulmonary Nodule Segmentation in CT: Improving Performance for Juxtapleural Cases. 781-789 2005 conf/miccai/2005-2 MICCAI (2) https://doi.org/10.1007/11566489_96 https://www.wikidata.org/entity/Q62491276 db/conf/miccai/miccai2005-2.html#OkadaRKSA05

Binglong Xie Visvanathan Ramesh Terrance E. Boult Sudden illumination change detection using order consistency. 117-125 2004 22 Image Vis. Comput. 2 https://doi.org/10.1016/j.imavis.2003.07.003 db/journals/ivc/ivc22.html#XieRB04

Nikos Paragios Olivier Mellina-Gottardo Visvanathan Ramesh Gradient Vector Flow Fast Geometric Active Contours. 402-407 2004 26 IEEE Trans. Pattern Anal. Mach. Intell. 3 https://doi.org/10.1109/TPAMI.2004.1262337 https://doi.ieeecomputersociety.org/10.1109/TPAMI.2004.1262337 https://www.wikidata.org/entity/Q52409765 db/journals/pami/pami26.html#ParagiosMR03

Benedicte Bascle Xiang Gao Visvanathan Ramesh Parametric and Non-parametric Methods for Linear Extraction. 175-186 https://doi.org/10.1007/978-3-540-30212-4_16 2004 conf/eccv/2004smvp ECCV Workshop SMVP db/conf/eccv/eccv2004smvp.html#BascleGR04

Nikos Paragios Mikaël Rousson Visvanathan Ramesh Non-rigid registration using distance functions. 142-165 2003 89 Comput. Vis. Image Underst. 2-3 https://doi.org/10.1016/S1077-3142(03)00010-9 db/journals/cviu/cviu89.html#ParagiosRR03

Dorin Comaniciu Visvanathan Ramesh Peter Meer Kernel-Based Object Tracking. 564-575 2003 25 IEEE Trans. Pattern Anal. Mach. Intell. 5 https://doi.org/10.1109/TPAMI.2003.1195991 http://doi.ieeecomputersociety.org/10.1109/TPAMI.2003.1195991 db/journals/pami/pami25.html#ComaniciuRM03

Binglong Xie Dorin Comaniciu Visvanathan Ramesh Markus Simon Terrance E. Boult Component Fusion for Face Detection in the Presence of Heteroscedastic Noise. 434-441 https://doi.org/10.1007/978-3-540-45243-0_56 2003 conf/dagm/2003 DAGM-Symposium db/conf/dagm/dagm2003.html#XieCRSB03 Antoine Monnet Anurag Mittal Nikos Paragios Visvanathan Ramesh Background Modeling and Subtraction of Dynamic Scenes. 1305-1312 2003 conf/iccv/2003 ICCV https://doi.org/10.1109/ICCV.2003.1238641 https://doi.ieeecomputersociety.org/10.1109/ICCV.2003.1238641 db/conf/iccv/iccv2003-2.html#MonnetMPR03 Srinivasa G. Narasimhan Visvanathan Ramesh Shree K. Nayar A Class of Photometric Invariants: Separating Material from Shape and Illumination. 1387-1394 2003 conf/iccv/2003 ICCV https://doi.org/10.1109/ICCV.2003.1238652 https://doi.ieeecomputersociety.org/10.1109/ICCV.2003.1238652 db/conf/iccv/iccv2003-2.html#NarasimhanRN03

Zhaohui Sun A. Murat Tekalp Nassir Navab Visvanathan Ramesh Interactive Optimization of 3D Shape and 2D Correspondence Using Multiple Geometric Constraints via POCS. 562-569 2002 24 IEEE Trans. Pattern Anal. Mach. Intell. 4 https://doi.org/10.1109/34.993563 http://doi.ieeecomputersociety.org/10.1109/34.993563 https://www.wikidata.org/entity/Q118188289 db/journals/pami/pami24.html#SunTNR02

Dorin Comaniciu Fabio Berton Visvanathan Ramesh Adaptive Resolution System for Distributed Surveillance. 427-437 2002 8 Real Time Imaging 5 https://doi.org/10.1006/rtim.2002.0298 db/journals/rti/rti8.html#ComaniciuBR02

Ying Zhu 0006 Dorin Comaniciu Stuart C. Schwartz Visvanathan Ramesh Multimodal Data Representations with Parameterized Local Structures. 173-189 2002 conf/eccv/2002-1 ECCV (1) https://doi.org/10.1007/3-540-47969-4_12 db/conf/eccv/eccv2002-1.html#ZhuCSR02 Dorin Comaniciu Visvanathan Ramesh Alessio Del Bue Multivariate Saddle Point Detection for Statistical Clustering. 561-576 2002 conf/eccv/2002-3 ECCV (3) https://doi.org/10.1007/3-540-47977-5_37 db/conf/eccv/eccv2002-3.html#ComaniciuRB02 Xiang Gao Visvanathan Ramesh Terrance E. Boult Statistical Characterization of Morphological Operator Sequences. 590-605 2002 conf/eccv/2002-4 ECCV (4) https://doi.org/10.1007/3-540-47979-1_40 db/conf/eccv/eccv2002-4.html#GaoRB02 Nikos Paragios Mikaël Rousson Visvanathan Ramesh Matching Distance Functions: A Shape-to-Area Variational Approach for Global-to-Local Registration. 775-789 2002 conf/eccv/2002-2 ECCV (2) https://doi.org/10.1007/3-540-47967-8_52 db/conf/eccv/eccv2002-2.html#ParagiosRR02 Alessio Del Bue Dorin Comaniciu Visvanathan Ramesh Carlo S. Regazzoni Smart cameras with real-time video object generation. 429-432 2002 conf/icip/2002 ICIP (3) db/conf/icip/icip2002-3.html#BueCRR02 https://doi.org/10.1109/ICIP.2002.1038997 Nikos Paragios Mikaël Rousson Visvanathan Ramesh Knowledge-based Registration & Segmentation of the Left Ventricle: A Level Set Approach. 37-42 2002 conf/wacv/2002 WACV https://doi.org/10.1109/ACV.2002.1182152 https://doi.ieeecomputersociety.org/10.1109/ACV.2002.1182152 db/conf/wacv/wacv2002.html#ParagiosRR02

Zhaohui Sun Visvanathan Ramesh A. Murat Tekalp Error Characterization of the Factorization Method. 110-137 2001 82 Comput. Vis. Image Underst. 2 https://doi.org/10.1006/cviu.2001.0910 https://www.wikidata.org/entity/Q118192207 db/journals/cviu/cviu82.html#SunRT01

Michael Greiffenhagen Dorin Comaniciu Heinrich Niemann Visvanathan Ramesh Design, analysis, and engineering of video monitoring systems: an approach and a case study. 1498-1517 2001 89 Proc. IEEE 10 https://doi.org/10.1109/5.959343 db/journals/pieee/pieee89.html#GreiffenhagenCN01

Abdelaziz Chihoub Y. J. Bai Visvanathan Ramesh A Band Processing Imaging Library for a TriCore-Based Digital Still Camera. 327-337 2001 7 Real Time Imaging 4 https://doi.org/10.1006/rtim.2000.0244 db/journals/rti/rti7.html#ChihoubBR01

Nikos Paragios Visvanathan Ramesh A MRF-Based Approach for Real-Time Subway Monitoring. I:1034-1040 2001 conf/cvpr/2001 CVPR (1) https://doi.org/10.1109/CVPR.2001.990644 https://doi.ieeecomputersociety.org/10.1109/CVPR.2001.990644 db/conf/cvpr/cvpr2001.html#ParagiosR01 Yanghai Tsin Robert T. Collins Visvanathan Ramesh Takeo Kanade Bayesian Color Constancy for Outdoor Object Recognition. I:1132-1139 2001 conf/cvpr/2001 CVPR (1) https://doi.org/10.1109/CVPR.2001.990658 https://doi.ieeecomputersociety.org/10.1109/CVPR.2001.990658 db/conf/cvpr/cvpr2001.html#TsinCRK01 Yanghai Tsin Yanxi Liu 0001 Visvanathan Ramesh Texture Replacement in Real Images. II:539-544 2001 conf/cvpr/2001 CVPR (2) https://doi.org/10.1109/CVPR.2001.991009 https://doi.ieeecomputersociety.org/10.1109/CVPR.2001.991009 db/conf/cvpr/cvpr2001.html#TsinLR01 Ying Zhu 0006 Dorin Comaniciu Visvanathan Ramesh Stuart C. Schwartz Parametric Representations for Nonlinear Modeling of Visual Data. II:553- 2001 conf/cvpr/2001 CVPR (2) https://doi.org/10.1109/CVPR.2001.991011 https://doi.ieeecomputersociety.org/10.1109/CVPR.2001.991011 db/conf/cvpr/cvpr2001.html#ZhuCRS01 Michael Greiffenhagen Visvanathan Ramesh Heinrich Niemann The Systematic Design and Analysis Cycle of a Vision System: A Case Study in Video Surveillance. II:704-711 2001 conf/cvpr/2001 CVPR (2) https://doi.org/10.1109/CVPR.2001.991033 https://doi.ieeecomputersociety.org/10.1109/CVPR.2001.991033 db/conf/cvpr/cvpr2001.html#GreiffenhagenRN01 Nikos Paragios Olivier Mellina-Gottardo Visvanathan Ramesh Gradient Vector Flow Fast Geodesic Active Contours. 67-75 2001 conf/iccv/2001 ICCV db/conf/iccv/iccv2001-1.html#ParagiosMR01 https://doi.ieeecomputersociety.org/10.1109/ICCV.2001.10059 Bjoern Stenger Visvanathan Ramesh Nikos Paragios Frans Coetzee Joachim M. Buhmann Topology Free Hidden Markov Models: Application to Background Modeling. 294-301 2001 conf/iccv/2001 ICCV db/conf/iccv/iccv2001-1.html#StengerRPCB01 https://doi.ieeecomputersociety.org/10.1109/ICCV.2001.10008 Dorin Comaniciu Visvanathan Ramesh Peter Meer The Variable Bandwidth Mean Shift and Data-Driven Scale Selection. 438-445 2001 conf/iccv/2001 ICCV db/conf/iccv/iccv2001-1.html#ComaniciuRM01 https://doi.ieeecomputersociety.org/10.1109/ICCV.2001.10099 Yanghai Tsin Visvanathan Ramesh Takeo Kanade Statistical Calibration of the CCD Imaging Process. 480-487 2001 conf/iccv/2001 ICCV db/conf/iccv/iccv2001-1.html#TsinRK01 https://doi.ieeecomputersociety.org/10.1109/ICCV.2001.10098 Abdelaziz Chihoub Y. J. Bai Visvanathan Ramesh An Imaging Library for a TriCore Based Digital Camera. 3-11 2000 conf/camp/2000 CAMP https://doi.org/10.1109/CAMP.2000.875952 https://doi.ieeecomputersociety.org/10.1109/CAMP.2000.875952 db/conf/camp/camp2000.html#ChihoubBR00 Xiang Gao Terrance E. Boult Frans Coetzee Visvanathan Ramesh Error Analysis of Background Adaption. 1503-1510 2000 conf/cvpr/2000 CVPR https://doi.org/10.1109/CVPR.2000.855861 https://doi.ieeecomputersociety.org/10.1109/CVPR.2000.855861 db/conf/cvpr/cvpr2000.html#GaoBCR00 Dorin Comaniciu Visvanathan Ramesh Peter Meer Real-Time Tracking of Non-Rigid Objects Using Mean Shift. 2142- 2000 conf/cvpr/2000 CVPR https://doi.org/10.1109/CVPR.2000.854761 https://doi.ieeecomputersociety.org/10.1109/CVPR.2000.854761 db/conf/cvpr/cvpr2000.html#ComaniciuRM00 Michael Greiffenhagen Visvanathan Ramesh Dorin Comaniciu Heinrich Niemann Statistical Modeling and Performance Characterization of a Real-Time Dual Camera Surveillance System. 2335-2342 2000 conf/cvpr/2000 CVPR https://doi.org/10.1109/CVPR.2000.854840 https://doi.ieeecomputersociety.org/10.1109/CVPR.2000.854840 db/conf/cvpr/cvpr2000.html#GreiffenhagenRCN00 Bertrand Thirion Benedicte Bascle Visvanathan Ramesh Nassir Navab Fusion of Color, Shading and Boundary Information for Factory Pipe Segmentation. 2349-2356 2000 conf/cvpr/2000 CVPR https://doi.org/10.1109/CVPR.2000.854845 https://doi.ieeecomputersociety.org/10.1109/CVPR.2000.854845 db/conf/cvpr/cvpr2000.html#ThirionBRN00 Dorin Comaniciu Visvanathan Ramesh Mean Shift and Optimal Prediction for Efficient Object Tracking. 2000 conf/icip/2000 ICIP db/conf/icip/icip2000.html#ComaniciuR00 https://doi.org/10.1109/ICIP.2000.899297 70-73 Visvanathan Ramesh Marie-Pierre Jolly Michael Greiffenhagen Performance characterization of image and video analysis systems at Siemens Corporate Research. 2000 Image Processing https://doi.org/10.1117/12.387683 conf/miip/2000 db/conf/miip/miip2000.html#RameshJG00 Zhaohui Sun Visvanathan Ramesh A. Murat Tekalp Error Characterization of the Factorization Approach to Shape and Motion Recovery. 218-235 https://doi.org/10.1007/3-540-44480-7_14 1999 conf/iccvw/1999 Workshop on Vision Algorithms db/conf/iccvw/iccvw1999.html#SunRT99

Visvanathan Ramesh Robert M. Haralick Random perturbation models for boundary extraction sequence. 229-239 1997 9 Mach. Vis. Appl. 5/6 https://doi.org/10.1007/s001380050044 db/journals/mva/mva9.html#RameshH97

Visvanathan Ramesh Robert M. Haralick Xining Zhang Desika C. Nadadur Ken Thornton Automatic selection of tuning parameters for feature extraction sequences. 672-677 1994 CVPR https://doi.org/10.1109/CVPR.1994.323780 conf/cvpr/1994 db/conf/cvpr/cvpr1994.html#RameshHZNT94 Xining Zhang Robert M. Haralick Visvanathan Ramesh Anand S. Bedekar Ihsin T. Phillips A Bayesian Corner Detector. 282-286 1994 conf/icip/1994 ICIP (2) db/conf/icip/icip1994-2.html#ZhangHRBP94 https://doi.org/10.1109/ICIP.1994.413576 https://doi.ieeecomputersociety.org/10.1109/ICIP.1994.413576 Xining Zhang Robert M. Haralick Visvanathan Ramesh Corner detection using the MAP technique. 549-552 1994 ICPR (1) https://doi.org/10.1109/ICPR.1994.576354 https://doi.ieeecomputersociety.org/10.1109/ICPR.1994.576354 conf/icpr/1994-1 db/conf/icpr/icpr1994-1.html#ZhangHR94

Bharath R. Modayur Visvanathan Ramesh Robert M. Haralick Linda G. Shapiro MUSER: A prototype musical score recognition system using mathematical morphology. 140-150 1993 6 Mach. Vis. Appl. 2-3 https://doi.org/10.1007/BF01211937 db/journals/mva/mva6.html#ModayurRHS93

Joseph L. Mundy Thomas O. Binford Terrance E. Boult Allen R. Hanson J. Ross Beveridge Robert M. Haralick Visvanathan Ramesh Charles A. Kohl Daryl T. Lawton Doug Morgan Keith Price Tom Strat The image understanding environment program. 406-416 1992 CVPR https://doi.org/10.1109/CVPR.1992.223157 conf/cvpr/1992 db/conf/cvpr/cvpr1992.html#MundyBBHBHRKLMP92 Visvanathan Ramesh Robert M. Haralick Random perturbation models and performance characterization in computer vision. 521-527 1992 CVPR https://doi.org/10.1109/CVPR.1992.223141 conf/cvpr/1992 db/conf/cvpr/cvpr1992.html#RameshH92 Umut Akdemir Claus Bahlmann Y. J. Bai John L. Barron Benedicte Bascle Anand S. Bedekar Fabio Berton J. Ross Beveridge Thomas O. Binford Terrance E. Boult Thomas Braml Alessio Del Bue Joachim M. Buhmann Abdelaziz Chihoub Adrian F. Clark Christine Clark Frans Coetzee Robert T. Collins Dorin Comaniciu Patrick Courtney William R. Crum Larry Davis 0001Larry S. Davis Fabian Deuser Sina Ditzel Lan Dong Hendrik Drachsler Jan Ernst Sabine Fabriz Johannes Flotzinger Andreas Frey Xiang Gao Yakup Genc Michael Greiffenhagen Tony X. Han Allen R. Hanson Robert M. Haralick Patrick Harding Timm Hess Yong Won Hong Yongwon Hong Holger Horz Rudra Narayan Hota Thomas S. Huang Achref Jaziri Marie-Pierre Jolly Takeo Kanade Charles A. Kohl Kishore Reddy KondaKishore Konda Christoph König Arun Krishnan Etienne Künzel Daryl T. Lawton Fuxin Li Weiliang Li Yanxi Liu 0001 Nicolas Lupp Sagnik Majumder Peter Meer Olivier Mellina-Gottardo Anurag Mittal Bharath R. Modayur Antoine Monnet Doug Morgan Martin Mundt Joseph L. Mundy Sreenivas Murali Desika C. Nadadur Srinivasa G. Narasimhan Nassir Navab Shree K. Nayar Heiko Neumann Jan Neumann Heinrich Niemann Scott Notley Kazunori Okada Norbert Oswald Panagiotis Panetsos Nikos Paragios Vasu Parameswaran Ihsin T. Phillips Iuliia Pliushch Keith Price Carlo S. Regazzoni Andres Fernandez Rodriguez Martin Rogmann Constantin A. Rothkopf Mikaël Rousson Cosima Schenk Stuart C. Schwartz Linda G. Shapiro Vinay D. Shet Ashish Shrivastava 0001 Markus Simon Maneesh Kumar Singh 0001Maneesh Singh 0001 Björn StengerBjoern Stenger Tom Strat Zhaohui Sun Paul D. Tar A. Murat Tekalp Neil A. Thacker Bertrand Thirion Ken Thornton Yanghai Tsin Carole J. Twining David Vázquez 0001 V. S. R. Veeravasarapu Fei-Yue Wang 0001 Kunfeng Wang Tobias Weis Lara Weiß Binglong Xie Xining Zhang Juhua Zhu Ying Zhu 0006 Imad Zoghlami