Visvanathan Ramesh

发表

Non-rigid registration using distance functions

Nikos Paragios, Visvanathan Ramesh, Mikaël Rousson, 2003, Comput. Vis. Image Underst..

The Variable Bandwidth Mean Shift and Data-Driven Scale Selection

Dorin Comaniciu, Visvanathan Ramesh, Peter Meer, 2001, ICCV.

Statistical Calibration of the CCD Imaging Process

Takeo Kanade, Yanghai Tsin, Visvanathan Ramesh, 2001, ICCV.

The variable bandwidth mean shift and data-driven scale selection

D. Comaniciu, P. Meer, Visvanathan Ramesh, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

Error analysis of background adaption

Xiang Gao, Visvanathan Ramesh, Terrance E. Boult, 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

Kernel-Based Object Tracking

Dorin Comaniciu, Visvanathan Ramesh, Peter Meer, 2003, IEEE Trans. Pattern Anal. Mach. Intell..

Real-time tracking of non-rigid objects using mean shift

Dorin Comaniciu, Visvanathan Ramesh, Peter Meer, 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

Bilattice-based Logical Reasoning for Human Detection

Larry S. Davis, Visvanathan Ramesh, Jan Neumann, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

The image understanding environment program

Allen R. Hanson, Robert M. Haralick, Joseph L. Mundy, 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Texture replacement in real images

Yanxi Liu, Yanghai Tsin, Visvanathan Ramesh, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

Multivariate Saddle Point Detection for Statistical Clustering

Alessio Del Bue, Dorin Comaniciu, Visvanathan Ramesh, 2002, ECCV.

Gradient vector flow fast geodesic active contours

N. Paragios, Visvanathan Ramesh, N. Paragios, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

Bayesian color constancy for outdoor object recognition

Takeo Kanade, Robert T. Collins, Yanghai Tsin, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

Statistical calibration of CCD imaging process

Takeo Kanade, Yanghai Tsin, Visvanathan Ramesh, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

Statistical calibration of CCD imaging process

T. Kanade, Visvanathan Ramesh, Yanghai Tsin, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

When Deep Classifiers Agree: Analyzing Correlations between Learning Order and Image Statistics

Visvanathan Ramesh, Martin Mundt, Iuliia Pliushch, 2021, ECCV.

Special issue on video communications, processing, and understanding for third generation surveillance systems

Gian Luca Foresti, Visvanathan Ramesh, Carlo S. Regazzoni, 2001 .

AVSS 2016 Message from the chairs

Ram Nevatia, Visvanathan Ramesh, Conrad Sanderson, 2016, AVSS 2016.

Error analysis of background subtraction

Visvanathan Ramesh, Terrance E. Boult, Frans M. Coetzee, 2000, CVPR 2000.

The variable bandwidth mean shift and data-driven scale selection

D. Comaniciu, P. Meer, Visvanathan Ramesh, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning

Visvanathan Ramesh, Martin Mundt, Iuliia Pliushch, 2020, Neural Networks.

Performance characterization in computer vision: A guide to best practices

Neil A. Thacker, Patrick Courtney, Visvanathan Ramesh, 2008, Comput. Vis. Image Underst..

Random perturbation models for boundary extraction sequence

Robert M. Haralick, Visvanathan Ramesh, R. Haralick, 1997, Machine Vision and Applications.

Performance characterization of image understanding algorithms

Visvanathan Ramesh, Visvanathan Ramesh, 1996 .

Mean shift and optimal prediction for efficient object tracking

Dorin Comaniciu, Visvanathan Ramesh, D. Comaniciu, 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

Robust detection and tracking of human faces with an active camera

Dorin Comaniciu, Visvanathan Ramesh, D. Comaniciu, 2000, Proceedings Third IEEE International Workshop on Visual Surveillance.

Statistical modeling and performance characterization of a real-time dual camera surveillance system

Heinrich Niemann, Dorin Comaniciu, Visvanathan Ramesh, 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

Error Characterization of the Factorization Approach to Shape and Motion Recovery

Zhaohui H. Sun, Visvanathan Ramesh, A. Tekalp, 1999, Workshop on Vision Algorithms.

Random perturbation models and performance characterization in computer vision

Robert M. Haralick, Visvanathan Ramesh, R. Haralick, 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Background modeling and subtraction of dynamic scenes

Nikos Paragios, Visvanathan Ramesh, Anurag Mittal, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

An Intensity-augmented Ordinal Measure for Visual Correspondence

Visvanathan Ramesh, Anurag Mittal, Visvanathan Ramesh, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Topology free hidden Markov models: application to background modeling

Joachim M. Buhmann, Nikos Paragios, Visvanathan Ramesh, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

Generating virtual images for promoting visual artificial intelligence

David Vázquez, Visvanathan Ramesh, Kunfeng Wang, 2020, Neurocomputing.

Model-driven Simulations for Deep Convolutional Neural Networks pdf

Visvanathan Ramesh, Constantin A. Rothkopf, V. S. R. Veeravasarapu, 2016, ArXiv.

Model Validation for Vision Systems via Graphics Simulation pdf

Visvanathan Ramesh, Constantin A. Rothkopf, Rudra Narayan Hota, 2015, ArXiv.

Simulations for Validation of Vision Systems pdf

Visvanathan Ramesh, Constantin A. Rothkopf, Rudra Narayan Hota, 2015, ArXiv.

Predicate Logic Based Image Grammars for Complex Pattern Recognition

Larry S. Davis, Claus Bahlmann, Visvanathan Ramesh, 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition pdf

Visvanathan Ramesh, Sagnik Majumder, Martin Mundt, 2019, J. Imaging.

Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers?

Visvanathan Ramesh, Sagnik Majumder, Martin Mundt, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

A MRF-based approach for real-time subway monitoring

Nikos Paragios, Visvanathan Ramesh, N. Paragios, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

Fast Crowd Segmentation Using Shape Indexing

Visvanathan Ramesh, Lan Dong, Imad Zoghlami, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Anomaly detection for automotive visual signal transition estimation

Visvanathan Ramesh, Martin Mundt, Tobias Weis, 2017, 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC).

A Bayesian corner detector

Robert M. Haralick, Visvanathan Ramesh, Anand S. Bedekar, 1994, Proceedings of 1st International Conference on Image Processing.

Performance characterization of edge detectors

Robert M. Haralick, Visvanathan Ramesh, R. Haralick, 1992, Defense, Security, and Sensing.

A system for traffic sign detection, tracking, and recognition using color, shape, and motion information

Visvanathan Ramesh, C. Bahlmann, Y. Zhu, 2005, IEEE Proceedings. Intelligent Vehicles Symposium, 2005..

Design, analysis, and engineering of video monitoring systems: an approach and a case study

Dorin Comaniciu, Visvanathan Ramesh, Michael Greiffenhagen, 2001, Proc. IEEE.

Model-Driven Simulations for Computer Vision

Visvanathan Ramesh, Constantin A. Rothkopf, V. S. R. Veeravasarapu, 2017, 2017 IEEE Winter Conference on Applications of Computer Vision (WACV).

Error-metrics for Camera Ego-motion Estimation

Ying Zhu, Juhua Zhu, Visvanathan Ramesh, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

Fundamental Issues Regarding Uncertainties in Artificial Neural Networks pdf

Neil A. Thacker, Visvanathan Ramesh, Carole J. Twining, 2020, ArXiv.

Image understanding environment

Robert M. Haralick, Visvanathan Ramesh, R. Haralick, 1992, Electronic Imaging.

MUSER: A prototype musical score recognition system using mathematical morphology

Robert M. Haralick, Linda G. Shapiro, Visvanathan Ramesh, 1993, Machine Vision and Applications.

Robust Pulmonary Nodule Segmentation in CT: Improving Performance for Juxtapleural Cases

Umut Akdemir, Visvanathan Ramesh, Maneesh Kumar Singh, 2005, MICCAI.

Edge Linking by Ellipsoidal Clustering

Robert M. Haralick, Visvanathan Ramesh, R. Haralick, 1990, Other Conferences.

A Procedural World Generation Framework for Systematic Evaluation of Continual Learning

Visvanathan Ramesh, Martin Mundt, Iuliia Pliushch, 2021, NeurIPS Datasets and Benchmarks.

Matching Distance Functions: A Shape-to-Area Variational Approach for Global-to-Local Registration

Nikos Paragios, Visvanathan Ramesh, Mikael Rousson, 2002, ECCV.

Gradient vector flow fast geometric active contours

Nikos Paragios, Visvanathan Ramesh, Olivier Mellina-Gottardo, 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Meta-Learning Convolutional Neural Architectures for Multi-Target Concrete Defect Classification With the COncrete DEfect BRidge IMage Dataset

Visvanathan Ramesh, Sagnik Majumder, Martin Mundt, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Design and Validation of a System for People Queue Statistics Estimation

Visvanathan Ramesh, Vasu Parameswaran, Vinay D. Shet, 2012, Video Analytics for Business Intelligence.

Sudden illumination change detection using order consistency

Visvanathan Ramesh, Terrance E. Boult, Binglong Xie, 2004, Image Vis. Comput..

The systematic design and analysis cycle of a vision system: a case study in video surveillance

Heinrich Niemann, Visvanathan Ramesh, Michael Greiffenhagen, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

CHAPTER 14 Statistical morphology

R. Haralick, E. Dougherty, Visvanathan Ramesh, 2016 .

Adaptive Resolution System for Distributed Surveillance

Dorin Comaniciu, Visvanathan Ramesh, Fabio Berton, 2002, Real Time Imaging.

Multimodal Data Representations with Parameterized Local Structures

Ying Zhu, Dorin Comaniciu, Stuart C. Schwartz, 2002, ECCV.

Parametric representations for nonlinear modeling of visual data

Ying Zhu, Dorin Comaniciu, Stuart C. Schwartz, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

Designing a Hybrid Neural System to Learn Real-world Crack Segmentation from Fractal-based Simulation

Visvanathan Ramesh, Martin Mundt, Achref Jaziri, 2023, ArXiv.

Knowledge-based registration & segmentation of the left ventricle: a level set approach

Nikos Paragios, Visvanathan Ramesh, Mikaël Rousson, 2002, Sixth IEEE Workshop on Applications of Computer Vision, 2002. (WACV 2002). Proceedings..

Illumination compensation based change detection using order consistency

Visvanathan Ramesh, Maneesh Kumar Singh, Vasu Parameswaran, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Tunable Kernels for Tracking

Visvanathan Ramesh, Imad Zoghlami, Vasu Parameswaran, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

TextInContext: On the Way to a Framework for Measuring the Context-Sensitive Complexity of Educationally Relevant Texts—A Combined Cognitive and Computational Linguistic Approach

Visvanathan Ramesh, Alexander Mehler, Visvanathan Ramesh, 2019, Frontiers and Advances in Positive Learning in the Age of InformaTiOn (PLATO).

A class of photometric invariants: separating material from shape and illumination

Shree K. Nayar, Visvanathan Ramesh, Srinivasa G. Narasimhan, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.