Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XX / / 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 (574 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: Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation -- Learning to Obstruct Few-Shot Image Classification over Restricted Classes -- RoofDiffusion: Constructing Roofs from Severely Corrupted Point Data via Diffusion -- L-DiffER: Single Image Reflection Removal with Language-based Diffusion Model -- AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting -- OccGen: Generative Multi-modal 3D Occupancy Prediction for Autonomous Driving -- CrossGLG: LLM Guides One-shot Skeleton-based 3D Action Recognition in a Cross-level Manner -- HYDRA: A Hyper Agent for Dynamic Compositional Visual Reasoning -- BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion -- LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer -- Blind image deblurring with noise-robust kernel estimation -- Binomial Self-compensation for Motion Error in Dynamic 3D Scanning -- AddMe: Zero-shot Group-photo Synthesis by Inserting People into Scenes -- Distill Gold from Massive Ores: Bi-level Data Pruning towards Efficient Dataset Distillation -- VersatileGaussian: Real-time Neural Rendering for Versatile Tasks using Gaussian Splatting -- Momentum Auxiliary Network for Supervised Local Learning -- HPFF: Hierarchical Locally Supervised Learning with Patch Feature Fusion -- Rethinking LiDAR Domain Generalization: Single Source as Multiple Density Domains -- Improving Zero-Shot Generalization for CLIP with Variational Adapter -- Realistic Human Motion Generation with Cross-Diffusion Models -- EgoExo-Fitness: Towards Egocentric and Exocentric Full-Body Action Understanding -- Any Target Can be Offense: Adversarial Example Generation via Generalized Latent Infection -- Towards Reliable Advertising Image Generation Using Human Feedback -- Topology-Preserving Downsampling of Binary Images -- ColorMAE: Exploring data-independent masking strategies in Masked AutoEncoders -- Classification Matters: Improving Video Action Detection with Class-Specific Attention -- Improving Medical Multi-modal Contrastive Learning with Expert Annotations.
• 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. The papers 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: 9783031726613; 3031726618
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910983375303321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 15078