Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part IX / / 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 (598 pages)
• Disciplina: 006
• 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: UniINR: Event-guided Unified Rolling Shutter Correction, Deblurring, and Interpolation -- ReLoo: Reconstructing Humans Dressed in Loose Garments from Monocular Video in the Wild -- Weakly-supervised Camera Localization by Ground-to-satellite Image Registration -- Dataset Growth -- MaRINeR: Enhancing Novel Views by Matching Rendered Images with Nearby References -- Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraint -- MoE-DiffIR: Task-customized Diffusion Priors for Universal Compressed Image Restoration -- LEGO: Learning EGOcentric Action Frame Generation via Visual Instruction Tuning -- SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant -- Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation -- Listen to Look into the Future: Audio-Visual Egocentric Gaze Anticipation -- R^2-Bench: Benchmarking the Robustness of Referring Perception Models under Perturbations -- Self-supervised co-salient object detection via feature correspondences at multiple scales -- Differentiable Convex Polyhedra Optimization from Multi-view Images -- SlotLifter: Slot-guided Feature Lifting for Learning Object-Centric Radiance Fields -- SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding -- ADMap: Anti-disturbance Framework for Vectorized HD Map Construction -- GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting -- PanoVOS: Bridging Non-panoramic and Panoramic Views with Transformer for Video Segmentation -- Evaluating Text-to-Visual Generation with Image-to-Text Generation -- SENC: Handling Self-collision in Neural Cloth Simulation -- HybridBooth: Hybrid Prompt Inversion for Efficient Subject-Driven Generation -- PartCraft: Crafting Creative Objects by Parts -- GeometrySticker: Enabling Ownership Claim of Recolorized Neural Radiance Fields -- PYRA: Parallel Yielding Re-Activation for Training-Inference Efficient Task Adaptation -- FineMatch: Aspect-based Fine-grained Image and Text Mismatch Detection and Correction -- CrossScore: A Multi-View Approach to Image Evaluation and Scoring.
• 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: 3-031-72673-1
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910983040203321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 15067