01000cam0 22002773 450 SON000038520221006102733.0883489078720040211d1999 |||||ita|0103 baitaITRisarcimento del danno alla persona e alternative istituzionalistudio di diritto comparatoGiovanni ComandéTorinoGiappichelli[1999]XXIII, 508 p.24 cmStudi di diritto privato001LAEC000250172001 *Studi di diritto privatoComandè', GiovanniAF00003362070416204ITUNISOB20221006RICAUNISOBUNISOB340101290SON0000385M 102 Monografia moderna SBNM340002351SI101290acquistocarranoUNISOBUNISOB20110622120045.020110622120114.0carranoRisarcimento del danno alla persona e alternative istituzionali679543UNISOB05816nam 22008295 450 991098348990332120250626164030.03-031-73337-110.1007/978-3-031-73337-6(CKB)36443052400041(MiAaPQ)EBC31747206(Au-PeEL)EBL31747206(DE-He213)978-3-031-73337-6(OCoLC)1467875289(EXLCZ)993644305240004120241031d2025 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierComputer Vision – ECCV 2024 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXIII /edited by Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (581 pages)Lecture Notes in Computer Science,1611-3349 ;150813-031-73336-3 Weak-to-Strong Compositional Learning from Generative Models for Language-based Object Detection -- Domesticating SAM for Breast Ultrasound Image Segmentation via Spatial-frequency Fusion and Uncertainty Correction -- CanonicalFusion: Generating Drivable 3D Human Avatars from Multiple Images -- Camera Height Doesn't Change: Unsupervised Training for Metric Monocular Road-Scene Depth Estimation -- Uni3DL: A Unified Model for 3D Vision-Language Understanding -- Object-Aware NIR-to-Visible Translation -- PaPr: Training-Free One-Step Patch Pruning with Lightweight ConvNets for Faster Inference -- GENIXER: Empowering Multimodal Large Language Models as a Powerful Data Generator -- BLINK: Multimodal Large Language Models Can See but Not Perceive -- AFF-ttention! Affordances and Attention models for Short-Term Object Interaction Anticipation -- PreLAR: World Model Pre-training with Learnable Action Representation -- Multi-HMR: Multi-Person Whole-Body Human Mesh Recovery in a Single Shot -- De-confounded Gaze Estimation -- Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions -- FreestyleRet: Retrieving Images from Style-Diversified Queries -- ReGround: Improving Textual and Spatial Grounding at No Cost -- CardiacNet: Learning to Reconstruct Abnormalities for Cardiac Disease Assessment from Echocardiogram Videos -- LaMI-DETR: Open-Vocabulary Detection with Language Model Instruction -- Unrolled Decomposed Unpaired Learning for Controllable Low-Light Video Enhancement -- Efficient Image Pre-Training with Siamese Cropped Masked Autoencoders -- VP-SAM: Taming Segment Anything Model for Video Polyp Segmentation via Disentanglement and Spatio-temporal Side Network -- Dataset Enhancement with Instance-Level Augmentations -- FreeMotion: MoCap-Free Human Motion Synthesis with Multimodal Large Language Models -- Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild -- Reliability in Semantic Segmentation: Can We Use Synthetic Data? -- SCPNet: Unsupervised Cross-modal Homography Estimation via Intra-modal Self-supervised Learning -- SCAPE: A Simple and Strong Category-Agnostic Pose Estimator.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.Lecture Notes in Computer Science,1611-3349 ;15081Image processingDigital techniquesComputer visionImage processingComputer networksUser interfaces (Computer systems)Human-computer interactionMachine learningComputers, Special purposeComputer Imaging, Vision, Pattern Recognition and GraphicsImage ProcessingComputer Communication NetworksUser Interfaces and Human Computer InteractionMachine LearningSpecial Purpose and Application-Based SystemsImage processingDigital 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.006.37Leonardis Aleš1757791Ricci Elisa216674Roth Ștefan0Russakovsky Olga1767663Sattler Torsten1767664Varol Gül1767665MiAaPQMiAaPQMiAaPQBOOK9910983489903321Computer Vision – ECCV 20244213977UNINA