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| Link zu diesem Datensatz | https://d-nb.info/1368080413 |
| Art des Inhalts | Konferenzschrift |
| Titel | Computer Vision – ECCV 2024 Workshops : Milan, Italy, September 29–October 4, 2024, Proceedings, Part XIV / edited by Alessio Del Bue, Cristian Canton, Jordi Pont-Tuset, Tatiana Tommasi |
| Person(en) |
Del Bue, Alessio (Herausgeber) Canton, Cristian (Herausgeber) Pont-Tuset, Jordi (Herausgeber) Tommasi, Tatiana (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2025 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2025 |
| Umfang/Format | Online-Ressource, LV, 356 p. 121 illus., 115 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-91577-2 Printed edition:: ISBN: 978-3-031-91579-6 |
| Inhalt | -- AirLetters: An Open Video Dataset of Characters Drawn in the Air. -- RegionGrasp: A Novel Task for Contact Region Controllable Hand Grasp Generation. -- Generative Hierarchical Temporal Transformer for Hand Pose and Action Modeling. -- Adaptive Multi-Modal Control of Digital Human Hand Synthesis Using a Region-Aware Cycle Loss. -- Conditional Hand Image Generation using Latent Space Supervision in Random Variable Variational Autoencoders. -- ChildPlay-Hand: A Dataset of Hand Manipulations in the Wild. -- EMAG: Ego-motion Aware and Generalizable 2D Hand Forecasting from Egocentric Videos. -- Disentangling Planning, Driving and Rendering for Photorealistic Avatar Agents. -- RGMIM: Region-Guided Masked Image Modeling for Learning Meaningful Representations from X-Ray Images. -- A Biologically-inspired Approach to Biomedical Image Segmentation. -- Human-based Low-Level Visual Processing Neural Network for Image Segmentation. -- Glia Cell Inspired Reinforcement Learning Agent for Neural Network Optimization. -- Growing Deep Neural Network Considering with Similarity between Neurons. -- Representation Learning in a Decomposed Encoder Design for Bio-inspired Hebbian Learning. -- Reducing Catastrophic Forgetting in Online Class Incremental Learning Using Self-Distillation. -- What makes a face look like a hat: Decoupling low-level and high-level visual properties with image triplets. -- ScanDDM: Generalised Zero-Shot Neuro-Dynamical Modelling of GoalDirected Attention. -- Limited but consistent gains in adversarial robustness by co-training object recognition models with human EEG. -- Online Learning via Memory: Retrieval-Augmented Detector Adaptation. -- AHMF: Adaptive Hybrid-Memory-Fusion Model for Driver Attention Prediction. -- Accuracy Improvement of Cell Image Segmentation Using Feedback Former. -- Variable resolution improves visual question answering under a limited pixel budget. -- MOSAIC: Skeleton-based human motion recognition with compositional representations. -- Adapting Large Language Model for Cross-Subject Semantic Decoding from Video-Stimulated fMRI. -- A System 1 and System 2 Perspective on Continual Learning for Practical Implementation. -- Connectivity-Inspired Network for Context-Aware Recognition. -- Generalizability analysis of deep learning predictions of human brain responses to augmented and semantically novel visual stimuli |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2506070409367.895424117529 DOI: 10.1007/978-3-031-91578-9 |
| URL | https://doi.org/10.1007/978-3-031-91578-9 |
| ISBN/Einband/Preis | 978-3-031-91578-9 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Computer Science ; 15636 |
| DDC-Notation | 006.37 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
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