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ORCIDVisvanathan Ramesh
Person information
- affiliation: Goethe University Frankfurt, Center for Cognition and Computation, Frankfurt am Main, Germany
- affiliation: Frankfurt Institute for Advanced Studies, Frankfurt am Main, Germany
- affiliation: Goethe University, Center for Cognition and Computation, Frankfurt am Main, Germany
- affiliation: Siemens Corporate Research Inc.
2020 – today
- 2025
[i18]Sina Ditzel, Achref Jaziri, Iuliia Pliushch, Visvanathan Ramesh:
Uncertainty-Aware Decomposed Hybrid Networks. CoRR abs/2503.19096 (2025)- 2024
- [c61]Achref Jaziri, Sina Ditzel, Iuliia Pliushch, Visvanathan Ramesh:
Representation Learning in a Decomposed Encoder Design for Bio-Inspired Hebbian Learning. ECCV Workshops (14) 2024: 203-213 - [c60]Achref Jaziri, Martin Mundt
, Andres Fernandez Rodriguez, Visvanathan Ramesh:
Designing a Hybrid Neural System to Learn Real-world Crack Segmentation from Fractal-based Simulation. WACV 2024: 8621-8631 - [i17]Achref Jaziri, Sina Ditzel, Iuliia Pliushch, Visvanathan Ramesh:
Representation Learning in a Decomposed Encoder Design for Bio-inspired Hebbian Learning. CoRR abs/2401.08603 (2024) - [i16]Achref Jaziri, Etienne Künzel, Visvanathan Ramesh:
Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion. CoRR abs/2408.09838 (2024) - 2023
- [j16]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. Neural Networks 160: 306-336 (2023) - [i15]Achref Jaziri, Martin Mundt, Andres Fernandez Rodriguez, Visvanathan Ramesh:
Designing a Hybrid Neural System to Learn Real-world Crack Segmentation from Fractal-based Simulation. CoRR abs/2309.09637 (2023) - 2022
- [j15]Martin Mundt, Iuliia Pliushch, Sagnik Majumder, Yong Won Hong, Visvanathan Ramesh:
Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition. J. Imaging 8(4): 93 (2022) - [c59]Iuliia Pliushch, Martin Mundt, Nicolas Lupp, Visvanathan Ramesh:
When Deep Classifiers Agree: Analyzing Correlations Between Learning Order and Image Statistics. ECCV (8) 2022: 397-413 - 2021
- [c58]Martin Mundt, Iuliia Pliushch, Visvanathan Ramesh:
Neural Architecture Search of Deep Priors: Towards Continual Learning Without Catastrophic Interference. CVPR Workshops 2021: 3523-3532 - [c57]Timm Hess, Martin Mundt, Iuliia Pliushch, Visvanathan Ramesh:
A Procedural World Generation Framework for Systematic Evaluation of Continual Learning. NeurIPS Datasets and Benchmarks 2021 - [i14]Martin Mundt, Iuliia Pliushch, Visvanathan Ramesh:
Neural Architecture Search of Deep Priors: Towards Continual Learning without Catastrophic Interference. CoRR abs/2104.06788 (2021) - [i13]Iuliia Pliushch, Martin Mundt, Nicolas Lupp, Visvanathan Ramesh:
When Deep Classifiers Agree: Analyzing Correlations between Learning Order and Image Statistics. CoRR abs/2105.08997 (2021) - [i12]Timm Hess, Martin Mundt, Iuliia Pliushch, Visvanathan Ramesh:
A Procedural World Generation Framework for Systematic Evaluation of Continual Learning. CoRR abs/2106.02585 (2021) - 2020
- [j14]Kunfeng Wang, Fei-Yue Wang, Visvanathan Ramesh, Ashish Shrivastava, David Vázquez, Fuxin Li:
Generating virtual images for promoting visual artificial intelligence. Neurocomputing 394: 112-113 (2020) - [i11]Neil A. Thacker, Carole J. Twining, Paul D. Tar, Scott Notley, Visvanathan Ramesh:
Fundamental Issues Regarding Uncertainties in Artificial Neural Networks. CoRR abs/2002.11152 (2020) - [i10]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. CoRR abs/2009.01797 (2020)
2010 – 2019
- 2019
- [c56]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. CVPR 2019: 11196-11205 - [c55]Martin Mundt, Iuliia Pliushch, Sagnik Majumder, Visvanathan Ramesh:
Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? ICCV Workshops 2019: 753-757 - [i9]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. CoRR abs/1904.08486 (2019) - [i8]Martin Mundt, Sagnik Majumder, Iuliia Pliushch, Visvanathan Ramesh:
Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition. CoRR abs/1905.12019 (2019) - [i7]Martin Mundt, Iuliia Pliushch, Sagnik Majumder, Visvanathan Ramesh:
Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? CoRR abs/1908.09625 (2019) - 2018
- [i6]Martin Mundt, Sagnik Majumder, Tobias Weis, Visvanathan Ramesh:
Rethinking Layer-wise Feature Amounts in Convolutional Neural Network Architectures. CoRR abs/1812.05836 (2018) - 2017
- [c54]V. S. R. Veeravasarapu, Constantin A. Rothkopf, Visvanathan Ramesh:
Adversarially Tuned Scene Generation. CVPR 2017: 6441-6449 - [c53]Tobias Weis, Martin Mundt, Patrick Harding, Visvanathan Ramesh:
Anomaly detection for automotive visual signal transition estimation. ITSC 2017: 1-8 - [c52]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. RoboCup 2017: 33-44 - [c51]V. S. R. Veeravasarapu, Constantin A. Rothkopf, Visvanathan Ramesh:
Model-Driven Simulations for Computer Vision. WACV 2017: 1063-1071 - [i5]V. S. R. Veeravasarapu, Constantin A. Rothkopf, Visvanathan Ramesh:
Adversarially Tuned Scene Generation. CoRR abs/1701.00405 (2017) - [i4]Martin Mundt, Tobias Weis, Kishore Konda, Visvanathan Ramesh:
Building effective deep neural network architectures one feature at a time. CoRR abs/1705.06778 (2017) - 2016
- [i3]V. S. R. Veeravasarapu, Constantin A. Rothkopf, Visvanathan Ramesh:
Model-driven Simulations for Deep Convolutional Neural Networks. CoRR abs/1605.09582 (2016) - 2015
- [i2]V. S. R. Veeravasarapu, Rudra Narayan Hota, Constantin A. Rothkopf, Visvanathan Ramesh:
Simulations for Validation of Vision Systems. CoRR abs/1512.01030 (2015) - [i1]V. S. R. Veeravasarapu, Rudra Narayan Hota, Constantin A. Rothkopf, Visvanathan Ramesh:
Model Validation for Vision Systems via Graphics Simulation. CoRR abs/1512.01401 (2015) - 2012
- [c50]Jan Ernst, Maneesh Kumar Singh, Visvanathan Ramesh:
Discrete texture traces: Topological representation of geometric context. CVPR 2012: 422-429 - [p1]Vasu Parameswaran, Vinay D. Shet, Visvanathan Ramesh:
Design and Validation of a System for People Queue Statistics Estimation. Video Analytics for Business Intelligence 2012: 355-373 - 2011
- [j13]Vinay D. Shet, Maneesh Singh, Claus Bahlmann, Visvanathan Ramesh, Jan Neumann, Larry S. Davis:
Predicate Logic Based Image Grammars for Complex Pattern Recognition. Int. J. Comput. Vis. 93(2): 141-161 (2011) - 2010
- [c49]Vasu Parameswaran, Maneesh Singh, Visvanathan Ramesh:
Illumination compensation based change detection using order consistency. CVPR 2010: 1982-1989
2000 – 2009
- 2009
- [c48]Yanghai Tsin, Yakup Genc, Visvanathan Ramesh:
Explicit 3D Modeling for Vehicle Monitoring in Non-overlapping Cameras. AVSS 2009: 110-115 - [c47]Vinay D. Shet, Maneesh Singh, Claus Bahlmann, Visvanathan Ramesh:
Predicate logic based image grammars for complex pattern recognition. CVPR Workshops 2009: 7 - 2008
- [j12]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. Comput. Vis. Image Underst. 109(3): 305-334 (2008) - [c46]Maneesh Singh, Vasu Parameswaran, Visvanathan Ramesh:
Order consistent change detection via fast statistical significance testing. CVPR 2008 - 2007
- [c45]Vinay D. Shet, Jan Neumann, Visvanathan Ramesh, Larry S. Davis:
Bilattice-based Logical Reasoning for Human Detection. CVPR 2007 - [c44]Lan Dong, Vasu Parameswaran, Visvanathan Ramesh, Imad Zoghlami:
Fast Crowd Segmentation Using Shape Indexing. ICCV 2007: 1-8 - [c43]Yanghai Tsin, Yakup Genc, Ying Zhu, Visvanathan Ramesh:
Learn to Track Edges. ICCV 2007: 1-8 - [c42]Binglong Xie, Visvanathan Ramesh, Ying Zhu, Terrance E. Boult:
On Channel Reliability Measure Training for Multi-Camera Face Recognition. WACV 2007: 41 - 2006
- [c41]Kazunori Okada, Maneesh Kumar Singh, Visvanathan Ramesh:
Prior-Constrained Scale-Space Mean Shift. BMVC 2006: 829-838 - [c40]Anurag Mittal, Visvanathan Ramesh:
An Intensity-augmented Ordinal Measure for Visual Correspondence. CVPR (1) 2006: 849-856 - [c39]Vasu Parameswaran, Visvanathan Ramesh, Imad Zoghlami:
Tunable Kernels for Tracking. CVPR (2) 2006: 2179-2186 - 2005
- [c38]Visvanathan Ramesh:
Real-time vision at Siemens Corporate Research. AVSS 2005: 300-305 - [c37]Juhua Zhu, Ying Zhu, Visvanathan Ramesh:
Error-metrics for Camera Ego-motion Estimation. CVPR Workshops 2005: 67 - [c36]Weiliang Li, Xiang Gao, Ying Zhu, Visvanathan Ramesh, Terrance E. Boult:
On the Small Sample Performance of Boosted Classifiers. CVPR (2) 2005: 574-581 - [c35]Frans Coetzee, Visvanathan Ramesh:
Semi-Automatic Probabilistic Morphological Detection. ICASSP (2) 2005: 769-772 - [c34]Tony X. Han, Visvanathan Ramesh, Ying Zhu, Thomas S. Huang:
On Optimizing Template Matching via Performance Characterization. ICCV 2005: 182-189 - [c33]Kazunori Okada, Visvanathan Ramesh, Arun Krishnan, Maneesh Singh, Umut Akdemir:
Robust Pulmonary Nodule Segmentation in CT: Improving Performance for Juxtapleural Cases. MICCAI (2) 2005: 781-789 - 2004
- [j11]Binglong Xie, Visvanathan Ramesh, Terrance E. Boult:
Sudden illumination change detection using order consistency. Image Vis. Comput. 22(2): 117-125 (2004) - [j10]Nikos Paragios, Olivier Mellina-Gottardo, Visvanathan Ramesh:
Gradient Vector Flow Fast Geometric Active Contours. IEEE Trans. Pattern Anal. Mach. Intell. 26(3): 402-407 (2004) - [c32]Benedicte Bascle, Xiang Gao, Visvanathan Ramesh:
Parametric and Non-parametric Methods for Linear Extraction. ECCV Workshop SMVP 2004: 175-186 - 2003
- [j9]Nikos Paragios, Mikaël Rousson, Visvanathan Ramesh:
Non-rigid registration using distance functions. Comput. Vis. Image Underst. 89(2-3): 142-165 (2003) - [j8]Dorin Comaniciu, Visvanathan Ramesh, Peter Meer:
Kernel-Based Object Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 25(5): 564-575 (2003) - [c31]Binglong Xie, Dorin Comaniciu, Visvanathan Ramesh, Markus Simon, Terrance E. Boult:
Component Fusion for Face Detection in the Presence of Heteroscedastic Noise. DAGM-Symposium 2003: 434-441 - [c30]Antoine Monnet, Anurag Mittal, Nikos Paragios, Visvanathan Ramesh:
Background Modeling and Subtraction of Dynamic Scenes. ICCV 2003: 1305-1312 - [c29]Srinivasa G. Narasimhan, Visvanathan Ramesh, Shree K. Nayar:
A Class of Photometric Invariants: Separating Material from Shape and Illumination. ICCV 2003: 1387-1394 - 2002
- [j7]Zhaohui Sun, A. Murat Tekalp, Nassir Navab, Visvanathan Ramesh:
Interactive Optimization of 3D Shape and 2D Correspondence Using Multiple Geometric Constraints via POCS. IEEE Trans. Pattern Anal. Mach. Intell. 24(4): 562-569 (2002) - [j6]Dorin Comaniciu, Fabio Berton, Visvanathan Ramesh:
Adaptive Resolution System for Distributed Surveillance. Real Time Imaging 8(5): 427-437 (2002) - [c28]Ying Zhu, Dorin Comaniciu, Stuart C. Schwartz, Visvanathan Ramesh:
Multimodal Data Representations with Parameterized Local Structures. ECCV (1) 2002: 173-189 - [c27]Dorin Comaniciu, Visvanathan Ramesh, Alessio Del Bue:
Multivariate Saddle Point Detection for Statistical Clustering. ECCV (3) 2002: 561-576 - [c26]Xiang Gao, Visvanathan Ramesh, Terrance E. Boult:
Statistical Characterization of Morphological Operator Sequences. ECCV (4) 2002: 590-605 - [c25]Nikos Paragios, Mikaël Rousson, Visvanathan Ramesh:
Matching Distance Functions: A Shape-to-Area Variational Approach for Global-to-Local Registration. ECCV (2) 2002: 775-789 - [c24]Alessio Del Bue, Dorin Comaniciu, Visvanathan Ramesh, Carlo S. Regazzoni:
Smart cameras with real-time video object generation. ICIP (3) 2002: 429-432 - [c23]Nikos Paragios, Mikaël Rousson, Visvanathan Ramesh:
Knowledge-based Registration & Segmentation of the Left Ventricle: A Level Set Approach. WACV 2002: 37-42 - 2001
- [j5]Zhaohui Sun, Visvanathan Ramesh, A. Murat Tekalp:
Error Characterization of the Factorization Method. Comput. Vis. Image Underst. 82(2): 110-137 (2001) - [j4]Michael Greiffenhagen, Dorin Comaniciu, Heinrich Niemann, Visvanathan Ramesh:
Design, analysis, and engineering of video monitoring systems: an approach and a case study. Proc. IEEE 89(10): 1498-1517 (2001) - [j3]Abdelaziz Chihoub, Y. J. Bai, Visvanathan Ramesh:
A Band Processing Imaging Library for a TriCore-Based Digital Still Camera. Real Time Imaging 7(4): 327-337 (2001) - [c22]Nikos Paragios, Visvanathan Ramesh:
A MRF-Based Approach for Real-Time Subway Monitoring. CVPR (1) 2001: I:1034-1040 - [c21]Yanghai Tsin, Robert T. Collins, Visvanathan Ramesh, Takeo Kanade:
Bayesian Color Constancy for Outdoor Object Recognition. CVPR (1) 2001: I:1132-1139 - [c20]Yanghai Tsin, Yanxi Liu, Visvanathan Ramesh:
Texture Replacement in Real Images. CVPR (2) 2001: II:539-544 - [c19]Ying Zhu, Dorin Comaniciu, Visvanathan Ramesh, Stuart C. Schwartz:
Parametric Representations for Nonlinear Modeling of Visual Data. CVPR (2) 2001: II:553- - [c18]Michael Greiffenhagen, Visvanathan Ramesh, Heinrich Niemann:
The Systematic Design and Analysis Cycle of a Vision System: A Case Study in Video Surveillance. CVPR (2) 2001: II:704-711 - [c17]Nikos Paragios, Olivier Mellina-Gottardo, Visvanathan Ramesh:
Gradient Vector Flow Fast Geodesic Active Contours. ICCV 2001: 67-75 - [c16]Bjoern Stenger, Visvanathan Ramesh, Nikos Paragios, Frans Coetzee, Joachim M. Buhmann:
Topology Free Hidden Markov Models: Application to Background Modeling. ICCV 2001: 294-301 - [c15]Dorin Comaniciu, Visvanathan Ramesh, Peter Meer:
The Variable Bandwidth Mean Shift and Data-Driven Scale Selection. ICCV 2001: 438-445 - [c14]Yanghai Tsin, Visvanathan Ramesh, Takeo Kanade:
Statistical Calibration of the CCD Imaging Process. ICCV 2001: 480-487 - 2000
- [c13]Abdelaziz Chihoub, Y. J. Bai, Visvanathan Ramesh:
An Imaging Library for a TriCore Based Digital Camera. CAMP 2000: 3-11 - [c12]Xiang Gao, Terrance E. Boult, Frans Coetzee, Visvanathan Ramesh:
Error Analysis of Background Adaption. CVPR 2000: 1503-1510 - [c11]Dorin Comaniciu, Visvanathan Ramesh, Peter Meer:
Real-Time Tracking of Non-Rigid Objects Using Mean Shift. CVPR 2000: 2142- - [c10]Michael Greiffenhagen, Visvanathan Ramesh, Dorin Comaniciu, Heinrich Niemann:
Statistical Modeling and Performance Characterization of a Real-Time Dual Camera Surveillance System. CVPR 2000: 2335-2342 - [c9]Bertrand Thirion, Benedicte Bascle, Visvanathan Ramesh, Nassir Navab:
Fusion of Color, Shading and Boundary Information for Factory Pipe Segmentation. CVPR 2000: 2349-2356 - [c8]Dorin Comaniciu, Visvanathan Ramesh:
Mean Shift and Optimal Prediction for Efficient Object Tracking. ICIP 2000: 70-73 - [c7]Visvanathan Ramesh, Marie-Pierre Jolly, Michael Greiffenhagen:
Performance characterization of image and video analysis systems at Siemens Corporate Research. Image Processing 2000
1990 – 1999
- 1999
- [c6]Zhaohui Sun, Visvanathan Ramesh, A. Murat Tekalp:
Error Characterization of the Factorization Approach to Shape and Motion Recovery. Workshop on Vision Algorithms 1999: 218-235 - 1997
- [j2]Visvanathan Ramesh, Robert M. Haralick:
Random perturbation models for boundary extraction sequence. Mach. Vis. Appl. 9(5/6): 229-239 (1997) - 1994
- [c5]Visvanathan Ramesh, Robert M. Haralick, Xining Zhang, Desika C. Nadadur, Ken Thornton:
Automatic selection of tuning parameters for feature extraction sequences. CVPR 1994: 672-677 - [c4]Xining Zhang, Robert M. Haralick, Visvanathan Ramesh, Anand S. Bedekar, Ihsin T. Phillips:
A Bayesian Corner Detector. ICIP (2) 1994: 282-286 - [c3]Xining Zhang, Robert M. Haralick, Visvanathan Ramesh:
Corner detection using the MAP technique. ICPR (1) 1994: 549-552 - 1993
- [j1]Bharath R. Modayur, Visvanathan Ramesh, Robert M. Haralick, Linda G. Shapiro:
MUSER: A prototype musical score recognition system using mathematical morphology. Mach. Vis. Appl. 6(2-3): 140-150 (1993) - 1992
- [c2]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. CVPR 1992: 406-416 - [c1]Visvanathan Ramesh, Robert M. Haralick:
Random perturbation models and performance characterization in computer vision. CVPR 1992: 521-527
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