The image understanding environment program. - 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 (CVPR, 1992)

Random perturbation models and performance characterization in computer vision. - Visvanathan Ramesh; Robert M. Haralick (CVPR, 1992)

MUSER: A prototype musical score recognition system using mathematical morphology. - Bharath R. Modayur; Visvanathan Ramesh; Robert M. Haralick; Linda G. Shapiro (Mach. Vis. Appl., 1993)

Automatic selection of tuning parameters for feature extraction sequences. - Visvanathan Ramesh; Robert M. Haralick; Xining Zhang; Desika C. Nadadur; Ken Thornton (CVPR, 1994)

A Bayesian Corner Detector. - Xining Zhang; Robert M. Haralick; Visvanathan Ramesh; Anand S. Bedekar; Ihsin T. Phillips (ICIP (2), 1994)

Corner detection using the MAP technique. - Xining Zhang; Robert M. Haralick; Visvanathan Ramesh (ICPR (1), 1994)

Random perturbation models for boundary extraction sequence. - Visvanathan Ramesh; Robert M. Haralick (Mach. Vis. Appl., 1997)

Error Characterization of the Factorization Approach to Shape and Motion Recovery. - Zhaohui Sun; Visvanathan Ramesh; A. Murat Tekalp (Workshop on Vision Algorithms, 1999)

An Imaging Library for a TriCore Based Digital Camera. - Abdelaziz Chihoub; Y. J. Bai; Visvanathan Ramesh (CAMP, 2000)

Real-Time Tracking of Non-Rigid Objects Using Mean Shift. - Dorin Comaniciu; Visvanathan Ramesh; Peter Meer (CVPR, 2000)

Error Analysis of Background Adaption. - Xiang Gao; Terrance E. Boult; Frans Coetzee; Visvanathan Ramesh (CVPR, 2000)

Statistical Modeling and Performance Characterization of a Real-Time Dual Camera Surveillance System. - Michael Greiffenhagen; Visvanathan Ramesh; Dorin Comaniciu; Heinrich Niemann (CVPR, 2000)

Fusion of Color, Shading and Boundary Information for Factory Pipe Segmentation. - Bertrand Thirion; Benedicte Bascle; Visvanathan Ramesh; Nassir Navab (CVPR, 2000)

Mean Shift and Optimal Prediction for Efficient Object Tracking. - Dorin Comaniciu; Visvanathan Ramesh (ICIP, 2000)

Performance characterization of image and video analysis systems at Siemens Corporate Research. - Visvanathan Ramesh; Marie-Pierre Jolly; Michael Greiffenhagen (Image Processing, 2000)

The Systematic Design and Analysis Cycle of a Vision System: A Case Study in Video Surveillance. - Michael Greiffenhagen; Visvanathan Ramesh; Heinrich Niemann (CVPR (2), 2001)

A MRF-Based Approach for Real-Time Subway Monitoring. - Nikos Paragios; Visvanathan Ramesh (CVPR (1), 2001)

Bayesian Color Constancy for Outdoor Object Recognition. - Yanghai Tsin; Robert T. Collins; Visvanathan Ramesh; Takeo Kanade (CVPR (1), 2001)

Texture Replacement in Real Images. - Yanghai Tsin; Yanxi Liu 001; Visvanathan Ramesh (CVPR (2), 2001)

Parametric Representations for Nonlinear Modeling of Visual Data. - Ying Zhu 006; Dorin Comaniciu; Visvanathan Ramesh; Stuart C. Schwartz (CVPR (2), 2001)

The Variable Bandwidth Mean Shift and Data-Driven Scale Selection. - Dorin Comaniciu; Visvanathan Ramesh; Peter Meer (ICCV, 2001)

Gradient Vector Flow Fast Geodesic Active Contours. - Nikos Paragios; Olivier Mellina-Gottardo; Visvanathan Ramesh (ICCV, 2001)

Topology Free Hidden Markov Models: Application to Background Modeling. - Bjoern Stenger; Visvanathan Ramesh; Nikos Paragios; Frans Coetzee; Joachim M. Buhmann (ICCV, 2001)

Statistical Calibration of the CCD Imaging Process. - Yanghai Tsin; Visvanathan Ramesh; Takeo Kanade (ICCV, 2001)

Error Characterization of the Factorization Method. - Zhaohui Sun; Visvanathan Ramesh; A. Murat Tekalp (Comput. Vis. Image Underst., 2001)

Design, analysis, and engineering of video monitoring systems: an approach and a case study. - Michael Greiffenhagen; Dorin Comaniciu; Heinrich Niemann; Visvanathan Ramesh (Proc. IEEE, 2001)

A Band Processing Imaging Library for a TriCore-Based Digital Still Camera. - Abdelaziz Chihoub; Y. J. Bai; Visvanathan Ramesh (Real Time Imaging, 2001)

Multivariate Saddle Point Detection for Statistical Clustering. - Dorin Comaniciu; Visvanathan Ramesh; Alessio Del Bue (ECCV (3), 2002)

Statistical Characterization of Morphological Operator Sequences. - Xiang Gao; Visvanathan Ramesh; Terrance E. Boult (ECCV (4), 2002)

Matching Distance Functions: A Shape-to-Area Variational Approach for Global-to-Local Registration. - Nikos Paragios; Mikaël Rousson; Visvanathan Ramesh (ECCV (2), 2002)

Multimodal Data Representations with Parameterized Local Structures. - Ying Zhu 006; Dorin Comaniciu; Stuart C. Schwartz; Visvanathan Ramesh (ECCV (1), 2002)

Smart cameras with real-time video object generation. - Alessio Del Bue; Dorin Comaniciu; Visvanathan Ramesh; Carlo S. Regazzoni (ICIP (3), 2002)

Knowledge-based Registration & Segmentation of the Left Ventricle: A Level Set Approach. - Nikos Paragios; Mikaël Rousson; Visvanathan Ramesh (WACV, 2002)

Interactive Optimization of 3D Shape and 2D Correspondence Using Multiple Geometric Constraints via POCS. - Zhaohui Sun; A. Murat Tekalp; Nassir Navab; Visvanathan Ramesh (IEEE Trans. Pattern Anal. Mach. Intell., 2002)

Adaptive Resolution System for Distributed Surveillance. - Dorin Comaniciu; Fabio Berton; Visvanathan Ramesh (Real Time Imaging, 2002)

Component Fusion for Face Detection in the Presence of Heteroscedastic Noise. - Binglong Xie; Dorin Comaniciu; Visvanathan Ramesh; Markus Simon; Terrance E. Boult (DAGM-Symposium, 2003)

Background Modeling and Subtraction of Dynamic Scenes. - Antoine Monnet; Anurag Mittal; Nikos Paragios; Visvanathan Ramesh (ICCV, 2003)

A Class of Photometric Invariants: Separating Material from Shape and Illumination. - Srinivasa G. Narasimhan; Visvanathan Ramesh; Shree K. Nayar (ICCV, 2003)

Non-rigid registration using distance functions. - Nikos Paragios; Mikaël Rousson; Visvanathan Ramesh (Comput. Vis. Image Underst., 2003)

Kernel-Based Object Tracking. - Dorin Comaniciu; Visvanathan Ramesh; Peter Meer (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

Parametric and Non-parametric Methods for Linear Extraction. - Benedicte Bascle; Xiang Gao; Visvanathan Ramesh (ECCV Workshop SMVP, 2004)

Sudden illumination change detection using order consistency. - Binglong Xie; Visvanathan Ramesh; Terrance E. Boult (Image Vis. Comput., 2004)

Gradient Vector Flow Fast Geometric Active Contours. - Nikos Paragios; Olivier Mellina-Gottardo; Visvanathan Ramesh (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

Real-time vision at Siemens Corporate Research. - Visvanathan Ramesh (AVSS, 2005)

On the Small Sample Performance of Boosted Classifiers. - Weiliang Li; Xiang Gao; Ying Zhu 006; Visvanathan Ramesh; Terrance E. Boult (CVPR (2), 2005)

Error-metrics for Camera Ego-motion Estimation. - Juhua Zhu; Ying Zhu 006; Visvanathan Ramesh (CVPR Workshops, 2005)

Semi-Automatic Probabilistic Morphological Detection. - Frans Coetzee; Visvanathan Ramesh (ICASSP (2), 2005)

On Optimizing Template Matching via Performance Characterization. - Tony X. Han; Visvanathan Ramesh; Ying Zhu 006; Thomas S. Huang (ICCV, 2005)

Robust Pulmonary Nodule Segmentation in CT: Improving Performance for Juxtapleural Cases. - Kazunori Okada; Visvanathan Ramesh; Arun Krishnan; Maneesh Singh 001; Umut Akdemir (MICCAI (2), 2005)

Prior-Constrained Scale-Space Mean Shift. - Kazunori Okada; Maneesh Kumar Singh 001; Visvanathan Ramesh (BMVC, 2006)

An Intensity-augmented Ordinal Measure for Visual Correspondence. - Anurag Mittal; Visvanathan Ramesh (CVPR (1), 2006)

Tunable Kernels for Tracking. - Vasu Parameswaran; Visvanathan Ramesh; Imad Zoghlami (CVPR (2), 2006)

Bilattice-based Logical Reasoning for Human Detection. - Vinay D. Shet; Jan Neumann; Visvanathan Ramesh; Larry S. Davis (CVPR, 2007)

Fast Crowd Segmentation Using Shape Indexing. - Lan Dong; Vasu Parameswaran; Visvanathan Ramesh; Imad Zoghlami (ICCV, 2007)

Learn to Track Edges. - Yanghai Tsin; Yakup Genc; Ying Zhu 006; Visvanathan Ramesh (ICCV, 2007)

On Channel Reliability Measure Training for Multi-Camera Face Recognition. - Binglong Xie; Visvanathan Ramesh; Ying Zhu 006; Terrance E. Boult (WACV, 2007)

Order consistent change detection via fast statistical significance testing. - Maneesh Singh 001; Vasu Parameswaran; Visvanathan Ramesh (CVPR, 2008)

Performance characterization in computer vision: A guide to best practices. - Neil A. Thacker; Adrian F. Clark; John L. Barron; J. Ross Beveridge; Patrick Courtney; William R. Crum; Visvanathan Ramesh; Christine Clark (Comput. Vis. Image Underst., 2008)

Explicit 3D Modeling for Vehicle Monitoring in Non-overlapping Cameras. - Yanghai Tsin; Yakup Genc; Visvanathan Ramesh (AVSS, 2009)

Predicate logic based image grammars for complex pattern recognition. - Vinay D. Shet; Maneesh Singh 001; Claus Bahlmann; Visvanathan Ramesh (CVPR Workshops, 2009)

Illumination compensation based change detection using order consistency. - Vasu Parameswaran; Maneesh Singh 001; Visvanathan Ramesh (CVPR, 2010)

Predicate Logic Based Image Grammars for Complex Pattern Recognition. - Vinay D. Shet; Maneesh Singh 001; Claus Bahlmann; Visvanathan Ramesh; Jan Neumann; Larry S. Davis (Int. J. Comput. Vis., 2011)

Discrete texture traces: Topological representation of geometric context. - Jan Ernst; Maneesh Kumar Singh 001; Visvanathan Ramesh (CVPR, 2012)

Design and Validation of a System for People Queue Statistics Estimation. - Vasu Parameswaran; Vinay D. Shet; Visvanathan Ramesh (Video Analytics for Business Intelligence, 2012)

Simulations for Validation of Vision Systems. - V. S. R. Veeravasarapu; Rudra Narayan Hota; Constantin A. Rothkopf; Visvanathan Ramesh (CoRR, 2015)

Model Validation for Vision Systems via Graphics Simulation. - V. S. R. Veeravasarapu; Rudra Narayan Hota; Constantin A. Rothkopf; Visvanathan Ramesh (CoRR, 2015)

Model-driven Simulations for Deep Convolutional Neural Networks. - V. S. R. Veeravasarapu; Constantin A. Rothkopf; Visvanathan Ramesh (CoRR, 2016)

Adversarially Tuned Scene Generation. - V. S. R. Veeravasarapu; Constantin A. Rothkopf; Visvanathan Ramesh (CVPR, 2017)

Anomaly detection for automotive visual signal transition estimation. - Tobias Weis; Martin Mundt; Patrick Harding; Visvanathan Ramesh (ITSC, 2017)

Large-Scale Stochastic Scene Generation and Semantic Annotation for Deep Convolutional Neural Network Training in the RoboCup SPL. - Timm Hess; Martin Mundt; Tobias Weis; Visvanathan Ramesh (RoboCup, 2017)

Model-Driven Simulations for Computer Vision. - V. S. R. Veeravasarapu; Constantin A. Rothkopf; Visvanathan Ramesh (WACV, 2017)

Building effective deep neural network architectures one feature at a time. - Martin Mundt; Tobias Weis; Kishore Konda; Visvanathan Ramesh (CoRR, 2017)

Rethinking Layer-wise Feature Amounts in Convolutional Neural Network Architectures. - Martin Mundt; Sagnik Majumder; Tobias Weis; Visvanathan Ramesh (CoRR, 2018)

Meta-Learning Convolutional Neural Architectures for Multi-Target Concrete Defect Classification With the COncrete DEfect BRidge IMage Dataset. - Martin Mundt; Sagnik Majumder; Sreenivas Murali; Panagiotis Panetsos; Visvanathan Ramesh (CVPR, 2019)

Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? - Martin Mundt; Iuliia Pliushch; Sagnik Majumder; Visvanathan Ramesh (ICCV Workshops, 2019)

Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition. - Martin Mundt; Sagnik Majumder; Iuliia Pliushch; Visvanathan Ramesh (CoRR, 2019)

Fundamental Issues Regarding Uncertainties in Artificial Neural Networks. - Neil A. Thacker; Carole J. Twining; Paul D. Tar; Scott Notley; Visvanathan Ramesh (CoRR, 2020)

A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning. - Martin Mundt; Yong Won Hong; Iuliia Pliushch; Visvanathan Ramesh (CoRR, 2020)

Generating virtual images for promoting visual artificial intelligence. - Kunfeng Wang; Fei-Yue Wang 001; Visvanathan Ramesh; Ashish Shrivastava 001; David Vázquez 001; Fuxin Li (Neurocomputing, 2020)

Neural Architecture Search of Deep Priors: Towards Continual Learning Without Catastrophic Interference. - Martin Mundt; Iuliia Pliushch; Visvanathan Ramesh (CVPR Workshops, 2021)

A Procedural World Generation Framework for Systematic Evaluation of Continual Learning. - Timm Hess; Martin Mundt; Iuliia Pliushch; Visvanathan Ramesh (NeurIPS Datasets and Benchmarks, 2021)

When Deep Classifiers Agree: Analyzing Correlations Between Learning Order and Image Statistics. - Iuliia Pliushch; Martin Mundt; Nicolas Lupp; Visvanathan Ramesh (ECCV (8), 2022)

Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition. - Martin Mundt; Iuliia Pliushch; Sagnik Majumder; Yong Won Hong; Visvanathan Ramesh (J. Imaging, 2022)

A wholistic view of continual learning with deep neural networks: Forgotten lessons and the bridge to active and open world learning. - Martin Mundt; Yongwon Hong; Iuliia Pliushch; Visvanathan Ramesh (Neural Networks, 2023)

Representation Learning in a Decomposed Encoder Design for Bio-Inspired Hebbian Learning. - Achref Jaziri; Sina Ditzel; Iuliia Pliushch; Visvanathan Ramesh (ECCV Workshops (14), 2024)

Designing a Hybrid Neural System to Learn Real-world Crack Segmentation from Fractal-based Simulation. - Achref Jaziri; Martin Mundt; Andres Fernandez Rodriguez; Visvanathan Ramesh (WACV, 2024)

Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion. - Achref Jaziri; Etienne Künzel; Visvanathan Ramesh (CoRR, 2024)

Uncertainty-Aware Decomposed Hybrid Networks. - Sina Ditzel; Achref Jaziri; Iuliia Pliushch; Visvanathan Ramesh (CoRR, 2025)

synth-dacl: Does Synthetic Defect Data Enhance Segmentation Accuracy and Robustness for Real-World Bridge Inspections? - Johannes Flotzinger; Fabian Deuser; Achref Jaziri; Heiko Neumann; Norbert Oswald; Visvanathan Ramesh; Thomas Braml (CoRR, 2025)

A Simple Baseline for Stable and Plastic Neural Networks. - Etienne Künzel; Achref Jaziri; Visvanathan Ramesh (CoRR, 2025)