Search Results - "Ramesh, Visvanathan"

Chronic within-hive video recordings detect altered nursing behaviour and retarded larval development of neonicotinoid treated honey bees by Siefert, Paul, Hota, Rudra, Ramesh, Visvanathan, Grünewald, Bernd

“…Risk evaluations for agricultural chemicals are necessary to preserve healthy populations of honey bee colonies. Field studies on whole colonies are limited in…”
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Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition by Mundt, Martin, Pliushch, Iuliia, Majumder, Sagnik, Hong, Yongwon, Ramesh, Visvanathan

“…Modern deep neural networks are well known to be brittle in the face of unknown data instances and recognition of the latter remains a challenge. Although it…”
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Designing a Hybrid Neural System to Learn Real-world Crack Segmentation from Fractal-based Simulation by Jaziri, Achref, Mundt, Martin, Rodriguez, Andres Fernandez, Ramesh, Visvanathan

“…Identification of cracks is essential to assess the structural integrity of concrete infrastructure. However, robust crack segmentation remains a challenging…”
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A system for traffic sign detection, tracking, and recognition using color, shape, and motion information by Bahlmann, C., Zhu, Y., Visvanathan Ramesh, Pellkofer, M., Koehler, T.

“…This paper describes a computer vision based system for real-time robust traffic sign detection, tracking, and recognition. Such a framework is of major…”
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Background modeling and subtraction of dynamic scenes by Monnet, Mittal, Paragios, Visvanathan Ramesh

“…Background modeling and subtraction is a core component in motion analysis. The central idea behind such module is to create a probabilistic representation of…”
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Bilattice-based Logical Reasoning for Human Detection by Shet, V.D., Neumann, J., Ramesh, V., Davis, L.S.

“…The capacity to robustly detect humans in video is a critical component of automated visual surveillance systems. This paper describes a bilattice based…”
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A wholistic view of continual learning with deep neural networks: Forgotten lessons and the bridge to active and open world learning by Mundt, Martin, Hong, Yongwon, Pliushch, Iuliia, Ramesh, Visvanathan

“…Current deep learning methods are regarded as favorable if they empirically perform well on dedicated test sets. This mentality is seamlessly reflected in the…”
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Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition by Mundt, Martin, Pliushch, Iuliia, Majumder, Sagnik, Hong, Yongwon, Ramesh, Visvanathan

“…Journal of Imaging. 2022; 8(4):93 Modern deep neural networks are well known to be brittle in the face of unknown data instances and recognition of the latter…”
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Meta-Learning Convolutional Neural Architectures for Multi-Target Concrete Defect Classification With the COncrete DEfect BRidge IMage Dataset by Mundt, Martin, Majumder, Sagnik, Murali, Sreenivas, Panetsos, Panagiotis, Ramesh, Visvanathan

“…Recognition of defects in concrete infrastructure, especially in bridges, is a costly and time consuming crucial first step in the assessment of the structural…”
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Kernel-based object tracking by Comaniciu, D., Ramesh, V., Meer, P.

“…A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects, is proposed. The feature…”
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A class of photometric invariants: separating material from shape and illumination by Narasimhan, Visvanathan Ramesh, Nayar

“…We derive a new class of photometric invariants that can be used for a variety of vision tasks including lighting invariant material segmentation, change…”
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Generating virtual images for promoting visual artificial intelligence by Wang, Kunfeng, Wang, Fei-Yue, Ramesh, Visvanathan, Shrivastava, Ashish, Vázquez, David, Li, Fuxin

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Real-time tracking of non-rigid objects using mean shift by Comaniciu, D., Ramesh, V., Meer, P.

“…A new method for real time tracking of non-rigid objects seen from a moving camera is proposed. The central computational module is based on the mean shift…”
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Gradient vector flow fast geometric active contours by Paragios, N., Mellina-Gottardo, O., Ramesh, V.

“…In this paper, we propose an edge-driven bidirectional geometric flow for boundary extraction. To this end, we combine the geodesic active contour flow and the…”
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On the small sample performance of Boosted classifiers by Li, W., Gao, X., Zhu, Y., Visvanathan Ramesh, Boult, T.E.

“…Boosting algorithms have been widely applied in the machine vision systems. Two fundamental issues that have to be solved in these systems are how much…”
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Predicate Logic Based Image Grammars for Complex Pattern Recognition by Shet, Vinay, Singh, Maneesh, Bahlmann, Claus, Ramesh, Visvanathan, Neumann, Jan, Davis, Larry

“…Predicate logic based reasoning approaches provide a means of formally specifying domain knowledge and manipulating symbolic information to explicitly reason…”
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Adversarially Tuned Scene Generation by Veeravasarapu, V. S. R., Rothkopf, Constantin, Visvanathan, Ramesh

“…Generalization performance of trained computer vision (CV) systems that use computer graphics (CG) generated data is not yet effective due to the concept of…”
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Non-rigid registration using distance functions by Paragios, Nikos, Rousson, Mikael, Ramesh, Visvanathan

“…This paper deals with the registration of geometric shapes. Our primary contribution is the use of a simple and robust shape representation (distance…”
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Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion by Jaziri, Achref, Künzel, Etienne, Ramesh, Visvanathan

“…A continual learning agent builds on previous experiences to develop increasingly complex behaviors by adapting to non-stationary and dynamic environments…”
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Special issue on video communications, processing, and understanding for third generation surveillance systems by REGAZZONI, Carlo S, RAMESH, Visvanathan, FORESTI, Gian Luca

“…This Special Issue focuses on the problems of last generation surveillance systems and highlights solutions to these problems that are based on a stronger…”
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