Visvanathan Ramesh

100 papers A* 22A 5B 4C 1Journal 37Unranked 30

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Simple Baseline for Stable and Plastic Neural Networks. CoRR Etienne Künzel, Achref Jaziri, Visvanathan Ramesh
2025	J	`jnl`	Beyond Binary Out-of-Distribution Detection: Characterizing Distributional Shifts with Multi-Statistic Diffusion Trajectories. CoRR Achref Jaziri, Martin Rogmann, Martin Mundt, Visvanathan Ramesh
2025	J	`jnl`	Uncertainty-Aware Decomposed Hybrid Networks. CoRR Sina Ditzel, Achref Jaziri, Iuliia Pliushch, Visvanathan Ramesh
2025	—	`conf`	synth-dacl: Does Synthetic Defect Data Enhance Segmentation Accuracy and Robustness for Real-World Bridge Inspections? DAGM GCPR Johannes Flotzinger, Fabian Deuser, Achref Jaziri, Heiko Neumann, Norbert Oswald, Visvanathan Ramesh, Thomas Braml
2025	J	`jnl`	synth-dacl: Does Synthetic Defect Data Enhance Segmentation Accuracy and Robustness for Real-World Bridge Inspections? CoRR Johannes Flotzinger, Fabian Deuser, Achref Jaziri, Heiko Neumann, Norbert Oswald, Visvanathan Ramesh, Thomas Braml
2024	A	`conf`	Designing a Hybrid Neural System to Learn Real-world Crack Segmentation from Fractal-based Simulation. WACV Achref Jaziri, Martin Mundt, Andres Fernandez Rodriguez, Visvanathan Ramesh
2024	J	`jnl`	Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion. CoRR Achref Jaziri, Etienne Künzel, Visvanathan Ramesh
2024	—	`conf`	Representation Learning in a Decomposed Encoder Design for Bio-Inspired Hebbian Learning. ECCV Workshops (14) Achref Jaziri, Sina Ditzel, Iuliia Pliushch, Visvanathan Ramesh
2024	J	`jnl`	Representation Learning in a Decomposed Encoder Design for Bio-inspired Hebbian Learning. CoRR Achref Jaziri, Sina Ditzel, Iuliia Pliushch, Visvanathan Ramesh
2023	J	`jnl`	A wholistic view of continual learning with deep neural networks: Forgotten lessons and the bridge to active and open world learning. Neural Networks Martin Mundt, Yongwon Hong, Iuliia Pliushch, Visvanathan Ramesh
2023	J	`jnl`	Designing a Hybrid Neural System to Learn Real-world Crack Segmentation from Fractal-based Simulation. CoRR Achref Jaziri, Martin Mundt, Andres Fernandez Rodriguez, Visvanathan Ramesh
2022	J	`jnl`	Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition. J. Imaging Martin Mundt, Iuliia Pliushch, Sagnik Majumder, Yong Won Hong, Visvanathan Ramesh
2022	—	`conf`	When Deep Classifiers Agree: Analyzing Correlations Between Learning Order and Image Statistics. ECCV (8) Iuliia Pliushch, Martin Mundt, Nicolas Lupp, Visvanathan Ramesh
2021	—	`conf`	A Procedural World Generation Framework for Systematic Evaluation of Continual Learning. NeurIPS Datasets and Benchmarks Timm Hess, Martin Mundt, Iuliia Pliushch, Visvanathan Ramesh
2021	J	`jnl`	A Procedural World Generation Framework for Systematic Evaluation of Continual Learning. CoRR Timm Hess, Martin Mundt, Iuliia Pliushch, Visvanathan Ramesh
2021	—	`conf`	Neural Architecture Search of Deep Priors: Towards Continual Learning Without Catastrophic Interference. CVPR Workshops Martin Mundt, Iuliia Pliushch, Visvanathan Ramesh
2021	J	`jnl`	Neural Architecture Search of Deep Priors: Towards Continual Learning without Catastrophic Interference. CoRR Martin Mundt, Iuliia Pliushch, Visvanathan Ramesh
2021	J	`jnl`	When Deep Classifiers Agree: Analyzing Correlations between Learning Order and Image Statistics. CoRR Iuliia Pliushch, Martin Mundt, Nicolas Lupp, Visvanathan Ramesh
2020	J	`jnl`	A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning. CoRR Martin Mundt, Yong Won Hong, Iuliia Pliushch, Visvanathan Ramesh
2020	J	`jnl`	Fundamental Issues Regarding Uncertainties in Artificial Neural Networks. CoRR Neil A. Thacker, Carole J. Twining, Paul D. Tar, Scott Notley, Visvanathan Ramesh
2020	J	`jnl`	Generating virtual images for promoting visual artificial intelligence. Neurocomputing Kunfeng Wang, Fei-Yue Wang, Visvanathan Ramesh, Ashish Shrivastava, David Vázquez, Fuxin Li
2019	A*	`conf`	Meta-Learning Convolutional Neural Architectures for Multi-Target Concrete Defect Classification With the COncrete DEfect BRidge IMage Dataset. CVPR Martin Mundt, Sagnik Majumder, Sreenivas Murali, Panagiotis Panetsos, Visvanathan Ramesh
2019	J	`jnl`	Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage Dataset. CoRR Martin Mundt, Sagnik Majumder, Sreenivas Murali, Panagiotis Panetsos, Visvanathan Ramesh
2019	—	`conf`	Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? ICCV Workshops Martin Mundt, Iuliia Pliushch, Sagnik Majumder, Visvanathan Ramesh
2019	J	`jnl`	Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? CoRR Martin Mundt, Iuliia Pliushch, Sagnik Majumder, Visvanathan Ramesh
2019	J	`jnl`	Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition. CoRR Martin Mundt, Sagnik Majumder, Iuliia Pliushch, Visvanathan Ramesh
2018	J	`jnl`	Rethinking Layer-wise Feature Amounts in Convolutional Neural Network Architectures. CoRR Martin Mundt, Sagnik Majumder, Tobias Weis, Visvanathan Ramesh
2017	A*	`conf`	Adversarially Tuned Scene Generation. CVPR V. S. R. Veeravasarapu, Constantin A. Rothkopf, Visvanathan Ramesh
2017	J	`jnl`	Adversarially Tuned Scene Generation. CoRR V. S. R. Veeravasarapu, Constantin A. Rothkopf, Visvanathan Ramesh
2017	—	`conf`	Anomaly detection for automotive visual signal transition estimation. ITSC Tobias Weis, Martin Mundt, Patrick Harding, Visvanathan Ramesh
2017	J	`jnl`	Building effective deep neural network architectures one feature at a time. CoRR Martin Mundt, Tobias Weis, Kishore Konda, Visvanathan Ramesh
2017	C	`conf`	Large-Scale Stochastic Scene Generation and Semantic Annotation for Deep Convolutional Neural Network Training in the RoboCup SPL. RoboCup Timm Hess, Martin Mundt, Tobias Weis, Visvanathan Ramesh
2017	A	`conf`	Model-Driven Simulations for Computer Vision. WACV V. S. R. Veeravasarapu, Constantin A. Rothkopf, Visvanathan Ramesh
2016	J	`jnl`	Model-driven Simulations for Deep Convolutional Neural Networks. CoRR V. S. R. Veeravasarapu, Constantin A. Rothkopf, Visvanathan Ramesh
2015	J	`jnl`	Model Validation for Vision Systems via Graphics Simulation. CoRR V. S. R. Veeravasarapu, Rudra Narayan Hota, Constantin A. Rothkopf, Visvanathan Ramesh
2015	J	`jnl`	Simulations for Validation of Vision Systems. CoRR V. S. R. Veeravasarapu, Rudra Narayan Hota, Constantin A. Rothkopf, Visvanathan Ramesh
2012	—	`ch.`	Design and Validation of a System for People Queue Statistics Estimation. Video Analytics for Business Intelligence Vasu Parameswaran, Vinay D. Shet, Visvanathan Ramesh
2012	A*	`conf`	Discrete texture traces: Topological representation of geometric context. CVPR Jan Ernst, Maneesh Kumar Singh, Visvanathan Ramesh
2011	J	`jnl`	Predicate Logic Based Image Grammars for Complex Pattern Recognition. Int. J. Comput. Vis. Vinay D. Shet, Maneesh Singh, Claus Bahlmann, Visvanathan Ramesh, Jan Neumann, Larry S. Davis
2010	A*	`conf`	Illumination compensation based change detection using order consistency. CVPR Vasu Parameswaran, Maneesh Singh, Visvanathan Ramesh
2009	B	`conf`	Explicit 3D Modeling for Vehicle Monitoring in Non-overlapping Cameras. AVSS Yanghai Tsin, Yakup Genc, Visvanathan Ramesh
2009	—	`conf`	Predicate logic based image grammars for complex pattern recognition. CVPR Workshops Vinay D. Shet, Maneesh Singh, Claus Bahlmann, Visvanathan Ramesh
2008	A*	`conf`	Order consistent change detection via fast statistical significance testing. CVPR Maneesh Singh, Vasu Parameswaran, Visvanathan Ramesh
2008	J	`jnl`	Performance characterization in computer vision: A guide to best practices. Comput. Vis. Image Underst. Neil A. Thacker, Adrian F. Clark, John L. Barron, J. Ross Beveridge, Patrick Courtney, William R. Crum, Visvanathan Ramesh, Christine Clark
2007	A*	`conf`	Bilattice-based Logical Reasoning for Human Detection. CVPR Vinay D. Shet, Jan Neumann, Visvanathan Ramesh, Larry S. Davis
2007	A*	`conf`	Fast Crowd Segmentation Using Shape Indexing. ICCV Lan Dong, Vasu Parameswaran, Visvanathan Ramesh, Imad Zoghlami
2007	A*	`conf`	Learn to Track Edges. ICCV Yanghai Tsin, Yakup Genc, Ying Zhu, Visvanathan Ramesh
2007	A	`conf`	On Channel Reliability Measure Training for Multi-Camera Face Recognition. WACV Binglong Xie, Visvanathan Ramesh, Ying Zhu, Terrance E. Boult
2006	—	`conf`	An Intensity-augmented Ordinal Measure for Visual Correspondence. CVPR (1) Anurag Mittal, Visvanathan Ramesh
2006	A	`conf`	Prior-Constrained Scale-Space Mean Shift. BMVC Kazunori Okada, Maneesh Kumar Singh, Visvanathan Ramesh
2006	—	`conf`	Tunable Kernels for Tracking. CVPR (2) Vasu Parameswaran, Visvanathan Ramesh, Imad Zoghlami
2005	—	`conf`	Error-metrics for Camera Ego-motion Estimation. CVPR Workshops Juhua Zhu, Ying Zhu, Visvanathan Ramesh
2005	A*	`conf`	On Optimizing Template Matching via Performance Characterization. ICCV Tony X. Han, Visvanathan Ramesh, Ying Zhu, Thomas S. Huang
2005	—	`conf`	On the Small Sample Performance of Boosted Classifiers. CVPR (2) Weiliang Li, Xiang Gao, Ying Zhu, Visvanathan Ramesh, Terrance E. Boult
2005	B	`conf`	Real-time vision at Siemens Corporate Research. AVSS Visvanathan Ramesh
2005	—	`conf`	Robust Pulmonary Nodule Segmentation in CT: Improving Performance for Juxtapleural Cases. MICCAI (2) Kazunori Okada, Visvanathan Ramesh, Arun Krishnan, Maneesh Singh, Umut Akdemir
2005	—	`conf`	Semi-Automatic Probabilistic Morphological Detection. ICASSP (2) Frans Coetzee, Visvanathan Ramesh
2004	J	`jnl`	Gradient Vector Flow Fast Geometric Active Contours. IEEE Trans. Pattern Anal. Mach. Intell. Nikos Paragios, Olivier Mellina-Gottardo, Visvanathan Ramesh
2004	—	`conf`	Parametric and Non-parametric Methods for Linear Extraction. ECCV Workshop SMVP Benedicte Bascle, Xiang Gao, Visvanathan Ramesh
2004	J	`jnl`	Sudden illumination change detection using order consistency. Image Vis. Comput. Binglong Xie, Visvanathan Ramesh, Terrance E. Boult
2003	A*	`conf`	A Class of Photometric Invariants: Separating Material from Shape and Illumination. ICCV Srinivasa G. Narasimhan, Visvanathan Ramesh, Shree K. Nayar
2003	A*	`conf`	Background Modeling and Subtraction of Dynamic Scenes. ICCV Antoine Monnet, Anurag Mittal, Nikos Paragios, Visvanathan Ramesh
2003	—	`conf`	Component Fusion for Face Detection in the Presence of Heteroscedastic Noise. DAGM-Symposium Binglong Xie, Dorin Comaniciu, Visvanathan Ramesh, Markus Simon, Terrance E. Boult
2003	J	`jnl`	Kernel-Based Object Tracking. IEEE Trans. Pattern Anal. Mach. Intell. Dorin Comaniciu, Visvanathan Ramesh, Peter Meer
2003	J	`jnl`	Non-rigid registration using distance functions. Comput. Vis. Image Underst. Nikos Paragios, Mikaël Rousson, Visvanathan Ramesh
2002	J	`jnl`	Adaptive Resolution System for Distributed Surveillance. Real Time Imaging Dorin Comaniciu, Fabio Berton, Visvanathan Ramesh
2002	J	`jnl`	Interactive Optimization of 3D Shape and 2D Correspondence Using Multiple Geometric Constraints via POCS. IEEE Trans. Pattern Anal. Mach. Intell. Zhaohui Sun, A. Murat Tekalp, Nassir Navab, Visvanathan Ramesh
2002	A	`conf`	Knowledge-based Registration & Segmentation of the Left Ventricle: A Level Set Approach. WACV Nikos Paragios, Mikaël Rousson, Visvanathan Ramesh
2002	—	`conf`	Matching Distance Functions: A Shape-to-Area Variational Approach for Global-to-Local Registration. ECCV (2) Nikos Paragios, Mikaël Rousson, Visvanathan Ramesh
2002	—	`conf`	Multimodal Data Representations with Parameterized Local Structures. ECCV (1) Ying Zhu, Dorin Comaniciu, Stuart C. Schwartz, Visvanathan Ramesh
2002	—	`conf`	Multivariate Saddle Point Detection for Statistical Clustering. ECCV (3) Dorin Comaniciu, Visvanathan Ramesh, Alessio Del Bue
2002	—	`conf`	Smart cameras with real-time video object generation. ICIP (3) Alessio Del Bue, Dorin Comaniciu, Visvanathan Ramesh, Carlo S. Regazzoni
2002	—	`conf`	Statistical Characterization of Morphological Operator Sequences. ECCV (4) Xiang Gao, Visvanathan Ramesh, Terrance E. Boult
2001	J	`jnl`	A Band Processing Imaging Library for a TriCore-Based Digital Still Camera. Real Time Imaging Abdelaziz Chihoub, Y. J. Bai, Visvanathan Ramesh
2001	—	`conf`	A MRF-Based Approach for Real-Time Subway Monitoring. CVPR (1) Nikos Paragios, Visvanathan Ramesh
2001	—	`conf`	Bayesian Color Constancy for Outdoor Object Recognition. CVPR (1) Yanghai Tsin, Robert T. Collins, Visvanathan Ramesh, Takeo Kanade
2001	J	`jnl`	Design, analysis, and engineering of video monitoring systems: an approach and a case study. Proc. IEEE Michael Greiffenhagen, Dorin Comaniciu, Heinrich Niemann, Visvanathan Ramesh
2001	J	`jnl`	Error Characterization of the Factorization Method. Comput. Vis. Image Underst. Zhaohui Sun, Visvanathan Ramesh, A. Murat Tekalp
2001	A*	`conf`	Gradient Vector Flow Fast Geodesic Active Contours. ICCV Nikos Paragios, Olivier Mellina-Gottardo, Visvanathan Ramesh
2001	—	`conf`	Parametric Representations for Nonlinear Modeling of Visual Data. CVPR (2) Ying Zhu, Dorin Comaniciu, Visvanathan Ramesh, Stuart C. Schwartz
2001	A*	`conf`	Statistical Calibration of the CCD Imaging Process. ICCV Yanghai Tsin, Visvanathan Ramesh, Takeo Kanade
2001	—	`conf`	Texture Replacement in Real Images. CVPR (2) Yanghai Tsin, Yanxi Liu, Visvanathan Ramesh
2001	—	`conf`	The Systematic Design and Analysis Cycle of a Vision System: A Case Study in Video Surveillance. CVPR (2) Michael Greiffenhagen, Visvanathan Ramesh, Heinrich Niemann
2001	A*	`conf`	The Variable Bandwidth Mean Shift and Data-Driven Scale Selection. ICCV Dorin Comaniciu, Visvanathan Ramesh, Peter Meer
2001	A*	`conf`	Topology Free Hidden Markov Models: Application to Background Modeling. ICCV Bjoern Stenger, Visvanathan Ramesh, Nikos Paragios, Frans Coetzee, Joachim M. Buhmann
2000	—	`conf`	An Imaging Library for a TriCore Based Digital Camera. CAMP Abdelaziz Chihoub, Y. J. Bai, Visvanathan Ramesh
2000	A*	`conf`	Error Analysis of Background Adaption. CVPR Xiang Gao, Terrance E. Boult, Frans Coetzee, Visvanathan Ramesh
2000	A*	`conf`	Fusion of Color, Shading and Boundary Information for Factory Pipe Segmentation. CVPR Bertrand Thirion, Benedicte Bascle, Visvanathan Ramesh, Nassir Navab
2000	B	`conf`	Mean Shift and Optimal Prediction for Efficient Object Tracking. ICIP Dorin Comaniciu, Visvanathan Ramesh
2000	B	`conf`	Performance characterization of image and video analysis systems at Siemens Corporate Research. Image Processing Visvanathan Ramesh, Marie-Pierre Jolly, Michael Greiffenhagen
2000	A*	`conf`	Real-Time Tracking of Non-Rigid Objects Using Mean Shift. CVPR Dorin Comaniciu, Visvanathan Ramesh, Peter Meer
2000	A*	`conf`	Statistical Modeling and Performance Characterization of a Real-Time Dual Camera Surveillance System. CVPR Michael Greiffenhagen, Visvanathan Ramesh, Dorin Comaniciu, Heinrich Niemann
1999	—	`conf`	Error Characterization of the Factorization Approach to Shape and Motion Recovery. Workshop on Vision Algorithms Zhaohui Sun, Visvanathan Ramesh, A. Murat Tekalp
1997	J	`jnl`	Random perturbation models for boundary extraction sequence. Mach. Vis. Appl. Visvanathan Ramesh, Robert M. Haralick
1994	—	`conf`	A Bayesian Corner Detector. ICIP (2) Xining Zhang, Robert M. Haralick, Visvanathan Ramesh, Anand S. Bedekar, Ihsin T. Phillips
1994	A*	`conf`	Automatic selection of tuning parameters for feature extraction sequences. CVPR Visvanathan Ramesh, Robert M. Haralick, Xining Zhang, Desika C. Nadadur, Ken Thornton
1994	—	`conf`	Corner detection using the MAP technique. ICPR (1) Xining Zhang, Robert M. Haralick, Visvanathan Ramesh
1993	J	`jnl`	MUSER: A prototype musical score recognition system using mathematical morphology. Mach. Vis. Appl. Bharath R. Modayur, Visvanathan Ramesh, Robert M. Haralick, Linda G. Shapiro
1992	A*	`conf`	Random perturbation models and performance characterization in computer vision. CVPR Visvanathan Ramesh, Robert M. Haralick
1992	A*	`conf`	The image understanding environment program. CVPR 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