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- Azriel RosenfeldSuggested from co-authorship
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Works399 from public data
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- Automatic text detection and tracking in digital video664
This work presents algorithms for detecting and tracking text in digital video that implements a scale-space feature extractor that feeds an artificial neural processor to detect text blocks.
- Towards Optimal Structured CNN Pruning via Generative Adversarial Learning585
This paper proposes an effective structured pruning approach that jointly prunes filters as well as other structures in an end-to-end manner and effectively solves the optimization problem by generative adversarial learning (GAL), which learns a sparse soft mask in a label-free and an end to end manner.
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- Camera-based analysis of text and documents: a survey487
A survey of application domains, technical challenges, and solutions for the analysis of documents captured by digital cameras, and some sample applications under development and feasible ideas for future development is presented.
- Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks366
This paper proposes a trellis encoder-decoder network (TEDnet) for crowd counting that achieves the best overall performance in terms of both density map quality and counting accuracy, and proposes a new combinatorial loss to enforce similarities in local coherence and spatial correlation between maps.
- The Indexing and Retrieval of Document Images: A Survey322
A survey of methods developed by researchers to access and manipulate document images without the need for complete and accurate conversion is provided.
- Video summarization by curve simplification319
A simple video player is described that displays the keyframes sequentially and lets the user change the summarization level on the fly with a slider, and an approach to automatically selecting a summarizationlevel that provides a concise and representative set of keyframes is described.
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- Review of Classifier Combination Methods224
This chapter introduces different categories of classifier combinations and introduces a retraining effect and effects of locality based training as important properties of classifiers combinations.
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- Handbook of Document Image Processing and Recognition191
The Handbook of Document Image Processing and Recognition is a comprehensive resource on the latest methods and techniques in document image processing and recognition that enables the reader to make an informed decision for their specific problems.
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- Simultaneous estimation of image quality and distortion via multi-task convolutional neural networks172
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- Future of software development with generative AI159
The software development industry needs new tools to understand the potential, limitations, and risks of generative AI, as well as guidelines for using it, and proposes four primary scenarios, model trajectories for transitions between them, and reflect against relevant software development operations.
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Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-15. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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