Computer Analysis of Architecture Using Automatic Image Understanding od Fan Wei, Yuan Li, Lior Shamir

Teme: “…computer science - computer vision and pattern recognition…”
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Computer Analysis of Architecture Using Automatic Image Understanding od Fan Wei, Yuan Li, Lior Shamir

Teme: “…computer science - computer vision and pattern recognition…”
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Theory II: Landscape of the Empirical Risk in Deep Learning od Poggio, Tomaso, Liao, Qianli

Teme: “…Computer Vision and Pattern Recognition…”
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High Performance DeepFake Video Detection on CNN-Based with Attention Target-Specific Regions and Manual Distillation Extraction od Van-Nhan Tran, Suk-Hwan Lee, Hoanh-Su Le, Ki-Ryong Kwon

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Combining Morphological and Histogram based Text Line Segmentation in the OCR Context od Pit Schneider

Teme: “…computer science - computer vision and pattern recognition…”
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Incorporating Crowdsourced Annotator Distributions into Ensemble Modeling to Improve Classification Trustworthiness for Ancient Greek Papyri od Graham West, Matthew I. Swindall, Ben Keener, Timothy Player, Alex C. Williams, James H. Brusuelas, John F. Wallin

Teme: “…computer science - computer vision and pattern recognition…”
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The Challenges of HTR Model Training: Feedback from the Project Donner le gout de l'archive a l'ere numerique od Beatrice Couture, Farah Verret, Maxime Gohier, Dominique Deslandres

Teme: “…computer science - computer vision and pattern recognition…”
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Interpreting Deep Visual Representations via Network Dissection od Zhou, Bolei, Bau, David, Oliva, Aude, Torralba, Antonio

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Visual acuity prediction on real-life patient data using a machine learning based multistage system od Tobias Schlosser, Frederik Beuth, Trixy Meyer, Arunodhayan Sampath Kumar, Gabriel Stolze, Olga Furashova, Katrin Engelmann, Danny Kowerko

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Improving OCT Image Segmentation of Retinal Layers by Utilizing a Machine Learning Based Multistage System of Stacked Multiscale Encoders and Decoders od Arunodhayan Sampath Kumar, Tobias Schlosser, Holger Langner, Marc Ritter, Danny Kowerko

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Multimodal region-based behavioral modeling for suicide risk screening od Alghowinem, Sharifa, Zhang, Xiajie, Breazeal, Cynthia, Park, Hae Won

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Next-generation networks: Necessity of edge sharing od Lehr, William, Stocker, Volker

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Active learning for optimal intervention design in causal models od Zhang, Jiaqi, Cammarata, Louis, Squires, Chandler, Sapsis, Themistoklis P., Uhler, Caroline

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Tensor Network Methods for Hyperparameter Optimization and Compression of Convolutional Neural Networks od A. Naumov, A. Melnikov, M. Perelshtein, Ar. Melnikov, V. Abronin, F. Oksanichenko

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Cursive Arabic Handwriting Recognition System Without Explicit Segmentation Based on Hidden Markov Models od Mouhcine Rabi, Mustapha Amrouch, Zouhair Mahani

Teme: “…[info.info-cv] computer science [cs]/computer vision and pattern recognition [cs.cv]…”
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Combining Visual and Textual Features for Semantic Segmentation of Historical Newspapers od Raphaël Barman, Maud Ehrmann, Simon Clematide, Sofia Ares Oliveira, Frédéric Kaplan

Teme: “…computer science - computer vision and pattern recognition…”
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Combining Visual and Textual Features for Semantic Segmentation of Historical Newspapers od Raphaël Barman, Maud Ehrmann, Simon Clematide, Sofia Ares Oliveira, Frédéric Kaplan

Teme: “…computer science - computer vision and pattern recognition…”
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Tunable Impact and Vibration Absorbing Neck for Robust Visual-Inertial State Estimation for Dynamic Legged Robots od Kim, Taekyun, Kim, Sangbae, Lee, Dongjun

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Optimizing Fiducial Marker Placement for Improved Visual Localization od Huang, Qiangqiang, DeGol, Joseph, Fragoso, Victor, Sinha, Sudipta N., Leonard, John J.

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PlaneSDF-Based Change Detection for Long-Term Dense Mapping od Fu, Jiahui, Lin, Chengyuan, Taguchi, Yuichi, Cohen, Andrea, Zhang, Yifu, Mylabathula, Stephen, Leonard, John J.

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