A plain, but full exposition of the catechisme of the Church of England [[electronic resource] ] : enjoyned to be learned of every child before he be brought to be confirmed by the bishop / / collected out of the best catechists by William Nicolson .

• Record Nr.: UNISA996396152203316
• Autore: Nicholson William <1591-1672.>
• Pubbl/distr/stampa: London, : Printed by Evan Tyler, and are to be sold by Nathanael Web and William Grantham ..., 1655
• Descrizione fisica: [8], 213, [3] p
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Includes bibliographical references.; Errata: p. [3] at end.; Advertisement: p. [1]-[3] at end.; Reproduction of original in Union Theological Seminary Library, New York.
• Sommario/riassunto: eebo-0160

Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part LXXV / / edited by Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol

• Record Nr.: UNINA9910983377803321
• Autore: Leonardis Aleš
• Pubbl/distr/stampa: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
• ISBN: 9783031732263; 303173226X
• Edizione: [1st ed. 2025.]
• Descrizione fisica: 1 online resource (582 pages)
• Collana: Lecture Notes in Computer Science, , 1611-3349 ; ; 15133
• Altri autori (Persone): RicciElisa; RothȘtefan; RussakovskyOlga; SattlerTorsten; VarolGül
• Disciplina: 006.37
• Soggetti: Image processing - Digital techniques; Computer vision; Image processing; Computer networks; Machine learning; Computers, Special purpose; User interfaces (Computer systems); Human-computer interaction; Computer Imaging, Vision, Pattern Recognition and Graphics; Image Processing; Computer Communication Networks; Machine Learning; Special Purpose and Application-Based Systems; User Interfaces and Human Computer Interaction
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: MONTAGE: Monitoring Training for Attribution of Generative Diffusion ; Models -- Affective Visual Dialog: A Large-Scale Benchmark for Emotional Reasoning Based on Visually Grounded Conversations -- Watching it in Dark: A Target-aware Representation Learning Framework for High-Level Vision Tasks in Low Illumination -- Self-supervised visual learning from interactions with objects -- OP-Align: Object-level and Part-level Alignment for Self-supervised Category-level Articulated Object Pose Estimation -- BAFFLE: A Baseline of Backpropagation-Free Federated Learning -- Sequential Representation Learning via Static-Dynamic Conditional Disentanglement -- OmniNOCS: A unified NOCS dataset and model for 3D lifting of 2D objects -- 3R-INN: How to be climate friendly while consuming/delivering videos? -- Rethinking Deep Unrolled Model for Accelerated MRI Reconstruction -- Towards Robust Full Low-bit Quantization of Super Resolution Networks -- Omni6DPose: A Benchmark and Model for Universal 6D Object Pose Estimation and Tracking -- Diverse Text-to-3D Synthesis with Augmented Text Embedding -- Style-Extracting Diffusion Models for Semi-Supervised Histopathology Segmentation -- LLMCO4MR: LLMs-aided Neural Combinatorial Optimization for Ancient Manuscript Restoration from Fragments with Case Studies on Dunhuang -- Model Breadcrumbs: Scaling Multi-Task Model Merging with Sparse Masks -- AdversariaLeak: External Information Leakage Attack Using Adversarial Samples on Face Recognition Systems -- iHuman: Instant Animatable Digital Humans From Monocular Videos -- SphereHead: Stable 3D Full-head Synthesis with Spherical Tri-plane Representation -- Beyond Pixels: Semi-Supervised Semantic Segmentation with a Multi-scale Patch-based Multi-Label Classifier -- Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering -- Solving the inverse problem of microscopy deconvolution with a residual Beylkin-Coifman-Rokhlin neural network -- Face Reconstruction Transfer Attack as Out-of-Distribution Generalization -- FreeZe: Training-free zero-shot 6D pose estimation with geometric and vision foundation models -- Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems -- Weighting Pseudo-Labels via High-Activation Feature Index Similarity and Object Detection for Semi-Supervised Segmentation -- PartGLEE: A Foundation Model for Recognizing and Parsing Any Objects.
• Sommario/riassunto: The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.