Visvanathan Ramesh

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 27

Top Topics

Neural Architecture

Defect Classification

Fundamental Issues

Top Venues

Publications

Achref Jaziri, Sina Ditzel, Iuliia Pliushch, Visvanathan Ramesh
Representation Learning in a Decomposed Encoder Design for Bio-inspired Hebbian Learning. CoRR (2024)
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)
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 (2023)
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 (2023)
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) (2022)
Iuliia Pliushch, Martin Mundt, Nicolas Lupp, Visvanathan Ramesh
When Deep Classifiers Agree: Analyzing Correlations Between Learning Order and Image Statistics. ECCV (8) (2022)
Timm Hess, Martin Mundt, Iuliia Pliushch, Visvanathan Ramesh
A Procedural World Generation Framework for Systematic Evaluation of Continual Learning. CoRR (2021)
Martin Mundt, Iuliia Pliushch, Visvanathan Ramesh
Neural Architecture Search of Deep Priors: Towards Continual Learning without Catastrophic Interference. CoRR (2021)
Martin Mundt, Iuliia Pliushch, Visvanathan Ramesh
Neural Architecture Search of Deep Priors: Towards Continual Learning Without Catastrophic Interference. CVPR Workshops (2021)
Timm Hess, Martin Mundt, Iuliia Pliushch, Visvanathan Ramesh
A Procedural World Generation Framework for Systematic Evaluation of Continual Learning. NeurIPS Datasets and Benchmarks (2021)
Iuliia Pliushch, Martin Mundt, Nicolas Lupp, Visvanathan Ramesh
When Deep Classifiers Agree: Analyzing Correlations between Learning Order and Image Statistics. CoRR (2021)
Kunfeng Wang, Fei-Yue Wang, Visvanathan Ramesh, Ashish Shrivastava, David Vázquez, Fuxin Li
Generating virtual images for promoting visual artificial intelligence. Neurocomputing 394 (2020)
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 (2020)
Neil A. Thacker, Carole J. Twining, Paul D. Tar, Scott Notley, Visvanathan Ramesh
Fundamental Issues Regarding Uncertainties in Artificial Neural Networks. CoRR (2020)
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 (2019)
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)
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)
Martin Mundt, Sagnik Majumder, Iuliia Pliushch, Visvanathan Ramesh
Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition. CoRR (2019)
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 (2019)
Martin Mundt, Sagnik Majumder, Tobias Weis, Visvanathan Ramesh
Rethinking Layer-wise Feature Amounts in Convolutional Neural Network Architectures. CoRR (2018)
Martin Mundt, Tobias Weis, Kishore Konda, Visvanathan Ramesh
Building effective deep neural network architectures one feature at a time. CoRR (2017)
V. S. R. Veeravasarapu, Constantin A. Rothkopf, Visvanathan Ramesh
Adversarially Tuned Scene Generation. CVPR (2017)
V. S. R. Veeravasarapu, Constantin A. Rothkopf, Visvanathan Ramesh
Adversarially Tuned Scene Generation. CoRR (2017)
V. S. R. Veeravasarapu, Constantin A. Rothkopf, Visvanathan Ramesh
Model-Driven Simulations for Computer Vision. WACV (2017)
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)
Tobias Weis, Martin Mundt, Patrick Harding, Visvanathan Ramesh
Anomaly detection for automotive visual signal transition estimation. ITSC (2017)
V. S. R. Veeravasarapu, Constantin A. Rothkopf, Visvanathan Ramesh
Model-driven Simulations for Deep Convolutional Neural Networks. CoRR (2016)
V. S. R. Veeravasarapu, Rudra Narayan Hota, Constantin A. Rothkopf, Visvanathan Ramesh
Simulations for Validation of Vision Systems. CoRR (2015)
V. S. R. Veeravasarapu, Rudra Narayan Hota, Constantin A. Rothkopf, Visvanathan Ramesh
Model Validation for Vision Systems via Graphics Simulation. CoRR (2015)
Jan Ernst, Maneesh Kumar Singh, Visvanathan Ramesh
Discrete texture traces: Topological representation of geometric context. CVPR (2012)
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) (2011)
Vasu Parameswaran, Maneesh Singh, Visvanathan Ramesh
Illumination compensation based change detection using order consistency. CVPR (2010)
Vinay D. Shet, Maneesh Singh, Claus Bahlmann, Visvanathan Ramesh
Predicate logic based image grammars for complex pattern recognition. CVPR Workshops (2009)
Yanghai Tsin, Yakup Genc, Visvanathan Ramesh
Explicit 3D Modeling for Vehicle Monitoring in Non-overlapping Cameras. AVSS (2009)
Maneesh Singh, Vasu Parameswaran, Visvanathan Ramesh
Order consistent change detection via fast statistical significance testing. CVPR (2008)
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) (2008)
Vinay D. Shet, Jan Neumann, Visvanathan Ramesh, Larry S. Davis
Bilattice-based Logical Reasoning for Human Detection. CVPR (2007)
Lan Dong, Vasu Parameswaran, Visvanathan Ramesh, Imad Zoghlami
Fast Crowd Segmentation Using Shape Indexing. ICCV (2007)
Yanghai Tsin, Yakup Genc, Ying Zhu, Visvanathan Ramesh
Learn to Track Edges. ICCV (2007)
Binglong Xie, Visvanathan Ramesh, Ying Zhu, Terrance E. Boult
On Channel Reliability Measure Training for Multi-Camera Face Recognition. WACV (2007)
Anurag Mittal, Visvanathan Ramesh
An Intensity-augmented Ordinal Measure for Visual Correspondence. CVPR (1) (2006)
Kazunori Okada, Maneesh Kumar Singh, Visvanathan Ramesh
Prior-Constrained Scale-Space Mean Shift. BMVC (2006)
Vasu Parameswaran, Visvanathan Ramesh, Imad Zoghlami
Tunable Kernels for Tracking. CVPR (2) (2006)
Tony X. Han, Visvanathan Ramesh, Ying Zhu, Thomas S. Huang
On Optimizing Template Matching via Performance Characterization. ICCV (2005)
Kazunori Okada, Visvanathan Ramesh, Arun Krishnan, Maneesh Singh, Umut Akdemir
Robust Pulmonary Nodule Segmentation in CT: Improving Performance for Juxtapleural Cases. MICCAI (2) (2005)
Juhua Zhu, Ying Zhu, Visvanathan Ramesh
Error-metrics for Camera Ego-motion Estimation. CVPR Workshops (2005)
Frans Coetzee, Visvanathan Ramesh
Semi-Automatic Probabilistic Morphological Detection. ICASSP (2) (2005)
Visvanathan Ramesh
Real-time vision at Siemens Corporate Research. AVSS (2005)
Weiliang Li, Xiang Gao, Ying Zhu, Visvanathan Ramesh, Terrance E. Boult
On the Small Sample Performance of Boosted Classifiers. CVPR (2) (2005)
Nikos Paragios, Olivier Mellina-Gottardo, Visvanathan Ramesh
Gradient Vector Flow Fast Geometric Active Contours. IEEE Trans. Pattern Anal. Mach. Intell. 26 (3) (2004)
Binglong Xie, Visvanathan Ramesh, Terrance E. Boult
Sudden illumination change detection using order consistency. Image Vis. Comput. 22 (2) (2004)
Benedicte Bascle, Xiang Gao, Visvanathan Ramesh
Parametric and Non-parametric Methods for Linear Extraction. ECCV Workshop SMVP (2004)
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)
Antoine Monnet, Anurag Mittal, Nikos Paragios, Visvanathan Ramesh
Background Modeling and Subtraction of Dynamic Scenes. ICCV (2003)
Dorin Comaniciu, Visvanathan Ramesh, Peter Meer
Kernel-Based Object Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 25 (5) (2003)
Srinivasa G. Narasimhan, Visvanathan Ramesh, Shree K. Nayar
A Class of Photometric Invariants: Separating Material from Shape and Illumination. ICCV (2003)
Nikos Paragios, Mikaël Rousson, Visvanathan Ramesh
Non-rigid registration using distance functions. Comput. Vis. Image Underst. 89 (2-3) (2003)
Dorin Comaniciu, Fabio Berton, Visvanathan Ramesh
Adaptive Resolution System for Distributed Surveillance. Real Time Imaging 8 (5) (2002)
Dorin Comaniciu, Visvanathan Ramesh, Alessio Del Bue
Multivariate Saddle Point Detection for Statistical Clustering. ECCV (3) (2002)
Nikos Paragios, Mikaël Rousson, Visvanathan Ramesh
Matching Distance Functions: A Shape-to-Area Variational Approach for Global-to-Local Registration. ECCV (2) (2002)
Nikos Paragios, Mikaël Rousson, Visvanathan Ramesh
Knowledge-based Registration & Segmentation of the Left Ventricle: A Level Set Approach. WACV (2002)
Ying Zhu, Dorin Comaniciu, Stuart C. Schwartz, Visvanathan Ramesh
Multimodal Data Representations with Parameterized Local Structures. ECCV (1) (2002)
Alessio Del Bue, Dorin Comaniciu, Visvanathan Ramesh, Carlo S. Regazzoni
Smart cameras with real-time video object generation. ICIP (3) (2002)
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) (2002)
Xiang Gao, Visvanathan Ramesh, Terrance E. Boult
Statistical Characterization of Morphological Operator Sequences. ECCV (4) (2002)
Dorin Comaniciu, Visvanathan Ramesh, Peter Meer
The Variable Bandwidth Mean Shift and Data-Driven Scale Selection. ICCV (2001)
Yanghai Tsin, Yanxi Liu, Visvanathan Ramesh
Texture Replacement in Real Images. CVPR (2) (2001)
Bjoern Stenger, Visvanathan Ramesh, Nikos Paragios, Frans Coetzee, Joachim M. Buhmann
Topology Free Hidden Markov Models: Application to Background Modeling. ICCV (2001)
Nikos Paragios, Visvanathan Ramesh
A MRF-Based Approach for Real-Time Subway Monitoring. CVPR (1) (2001)
Zhaohui Sun, Visvanathan Ramesh, A. Murat Tekalp
Error Characterization of the Factorization Method. Comput. Vis. Image Underst. 82 (2) (2001)
Abdelaziz Chihoub, Y. J. Bai, Visvanathan Ramesh
A Band Processing Imaging Library for a TriCore-Based Digital Still Camera. Real Time Imaging 7 (4) (2001)
Yanghai Tsin, Visvanathan Ramesh, Takeo Kanade
Statistical Calibration of the CCD Imaging Process. ICCV (2001)
Ying Zhu, Dorin Comaniciu, Visvanathan Ramesh, Stuart C. Schwartz
Parametric Representations for Nonlinear Modeling of Visual Data. CVPR (2) (2001)
Yanghai Tsin, Robert T. Collins, Visvanathan Ramesh, Takeo Kanade
Bayesian Color Constancy for Outdoor Object Recognition. CVPR (1) (2001)
Nikos Paragios, Olivier Mellina-Gottardo, Visvanathan Ramesh
Gradient Vector Flow Fast Geodesic Active Contours. ICCV (2001)
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) (2001)
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)
Bertrand Thirion, Benedicte Bascle, Visvanathan Ramesh, Nassir Navab
Fusion of Color, Shading and Boundary Information for Factory Pipe Segmentation. CVPR (2000)
Visvanathan Ramesh, Marie-Pierre Jolly, Michael Greiffenhagen
Performance characterization of image and video analysis systems at Siemens Corporate Research. Medical Imaging: Image Processing (2000)
Abdelaziz Chihoub, Y. J. Bai, Visvanathan Ramesh
An Imaging Library for a TriCore Based Digital Camera. CAMP (2000)
Xiang Gao, Terrance E. Boult, Frans Coetzee, Visvanathan Ramesh
Error Analysis of Background Adaption. CVPR (2000)
Michael Greiffenhagen, Visvanathan Ramesh, Dorin Comaniciu, Heinrich Niemann
Statistical Modeling and Performance Characterization of a Real-Time Dual Camera Surveillance System. CVPR (2000)
Dorin Comaniciu, Visvanathan Ramesh
Mean Shift and Optimal Prediction for Efficient Object Tracking. ICIP (2000)
Dorin Comaniciu, Visvanathan Ramesh, Peter Meer
Real-Time Tracking of Non-Rigid Objects Using Mean Shift. CVPR (2000)
Zhaohui Sun, Visvanathan Ramesh, A. Murat Tekalp
Error Characterization of the Factorization Approach to Shape and Motion Recovery. Workshop on Vision Algorithms (1999)
Visvanathan Ramesh, Robert M. Haralick
Random perturbation models for boundary extraction sequence. Mach. Vis. Appl. 9 (5/6) (1997)
Xining Zhang, Robert M. Haralick, Visvanathan Ramesh
Corner detection using the MAP technique. ICPR (1) (1994)
Visvanathan Ramesh, Robert M. Haralick, Xining Zhang, Desika C. Nadadur, Ken Thornton
Automatic selection of tuning parameters for feature extraction sequences. CVPR (1994)
Xining Zhang, Robert M. Haralick, Visvanathan Ramesh, Anand S. Bedekar, Ihsin T. Phillips
A Bayesian Corner Detector. ICIP (2) (1994)
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) (1993)
Visvanathan Ramesh, Robert M. Haralick
Random perturbation models and performance characterization in computer vision. CVPR (1992)
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)