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

• Autore: Leonardis Aleš
• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
• Edizione: 1st ed. 2025.
• Descrizione fisica: 1 online resource (577 pages)
• Disciplina: 006.37
• Soggetto topico: Image processing - Digital techniques; Computer vision; Image processing; Computer networks; User interfaces (Computer systems); Human-computer interaction; Machine learning; Computers, Special purpose; Computer Imaging, Vision, Pattern Recognition and Graphics; Image Processing; Computer Communication Networks; User Interfaces and Human Computer Interaction; Machine Learning; Special Purpose and Application-Based Systems
• Altri autori: RicciElisa RothȘtefan RussakovskyOlga SattlerTorsten VarolGül
• Nota di contenuto: Depth-guided NeRF Training via Earth Mover’s Distance -- INTRA: Interaction Relationship-aware Weakly Supervised Affordance Grounding -- DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks -- Meerkat: Audio-Visual Large Language Model for Grounding in Space and Time -- Diagnosing and Re-learning for Balanced Multimodal Learning -- Contribution-based Low-Rank Adaptation with Pre-training Model for Real Image Restoration -- Elucidating the Hierarchical Nature of Behavior with Masked Autoencoders -- BeyondScene: Higher-Resolution Human-Centric Scene Generation With Pretrained Diffusion -- SpaRP: Fast 3D Object Reconstruction and Pose Estimation from Sparse Views -- MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning -- Discovering Unwritten Visual Classifiers with Large Language Models -- LITA: Language Instructed Temporal-Localization Assistant -- MARs: Multi-view Attention Regularizations for Patch-based Feature Recognition of Space Terrain -- Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMs -- Bridging the Pathology Domain Gap: Efficiently Adapting CLIP for Pathology Image Analysis with Limited Labeled Data -- AugUndo: Scaling Up Augmentations for Monocular Depth Completion and Estimation -- CARB-Net: Camera-Assisted Radar-Based Network for Vulnerable Road User Detection -- SAH-SCI: Self-Supervised Adapter for Efficient Hyperspectral Snapshot Compressive Imaging -- Minimalist Vision with Freeform Pixels -- All You Need is Your Voice: Emotional Face Representation with Audio Perspective for Emotional Talking Face Generation -- LatentEditor: Text Driven Local Editing of 3D Scenes -- Single-Photon 3D Imaging with Equi-Depth Photon Histograms -- Asynchronous Bioplausible Neuron for Spiking Neural Networks for Event-Based Vision -- Viewpoint textual inversion: discovering scene representations and 3D view control in 2D diffusion models -- POET: Prompt Offset Tuning for Continual Human Action Adaptation -- Domain Generalization of 3D Object Detection by Density-Resampling -- IG Captioner: Information Gain Captioners are Strong Zero-shot Classifiers.
• 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.
• Titolo autorizzato: Computer Vision – ECCV 2024
• ISBN: 3-031-73039-9
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910983084503321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 15122