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Computer Vision – ECCV 2024 -

Computer Vision – ECCV 2024

18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XI
Buch | Softcover
LXXXV, 490 Seiten
2024
Springer International Publishing (Verlag)
978-3-031-73246-1 (ISBN)
CHF 109,95 inkl. MwSt
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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.

CoLeaF: A Contrastive-Collaborative Learning Framework for Weakly Supervised Audio-Visual Video Parsing.- Noise-assisted Prompt Learning for Image Forgery Detection and Localization.- Data Collection-free Masked Video Modeling.- Protecting NeRFs' Copyright via Plug-And-Play Watermarking Base Model.- Pixel-Aware Stable Diffusion for Realistic Image Super-Resolution and Personalized Stylization.- AnyControl: Create Your Artwork with Versatile Control on Text-to-Image Generation.- SEED: A Simple and Effective 3D DETR in Point Clouds.- AEDNet: Adaptive Embedding and Multiview-Aware Disentanglement for Point Cloud Completion.- Synergy of Sight and Semantics: Visual Intention Understanding with CLIP.- Intrinsic Single-Image HDR Reconstruction.- T-MAE: Temporal Masked Autoencoders for Point Cloud Representation Learning.- Pathology-knowledge Enhanced Multi-instance Prompt Learning for Few-shot Whole Slide Image Classification.- Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatial Relation Matching.- BEAF: Observing BEfore-AFter Changes to Evaluate Hallucination in Vision-language Models.- Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D Scene.- DATENeRF: Depth-Aware Text-based Editing of NeRFs.- XPSR: Cross-modal Priors for Diffusion-based Image Super-Resolution.- ABC Easy as 123: A Blind Counter for Exemplar-Free Multi-Class Class-agnostic Counting.- Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery.- LaRa: Efficient Large-Baseline Radiance Fields.- Bi-TTA: Bidirectional Test-Time Adapter for Remote Physiological Measurement.- MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment.- Grounding Language Models for Visual Entity Recognition.- ELSE: Efficient Deep Neural Network Inference through Line-based Sparsity Exploration.- DiffusionDepth: Diffusion Denoising Approach for Monocular Depth Estimation.- DC-Solver: Improving Predictor-Corrector Diffusion Sampler via Dynamic Compensation.- TRAM: Global Trajectory and Motion of 3D Humans from in-the-wild Videos.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Computer Science
Zusatzinfo LXXXV, 490 p. 204 illus., 188 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Schlagworte Artificial Intelligence • Computer Networks • Computer systems • computer vision • Education • Human-Computer Interaction (HCI) • Image Analysis • image coding • Image Processing • image reconstruction • Image Segmentation • learning • machine learning • Object recognition • pattern recognition • reconstruction • Signal Processing • Software engineering
ISBN-10 3-031-73246-4 / 3031732464
ISBN-13 978-3-031-73246-1 / 9783031732461
Zustand Neuware
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