Computer Vision ECCV 2024: 18th European Conference, Milan, Italy, September 2 [Paperback]

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 29October 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.

VEGS: View Extrapolation of Urban Scenes in 3D Gaussian Splatting using Learned Priors.- HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud Segmentation.- SWinGS: Sliding Windows for Dynamic 3D Gaussian Splatting.- Temporal-Mapping Photography for Event Cameras.- Shape2Scene: 3D Scene Representation Learning Through Pre-training on Shape Data.- LineFit: A Geometric Approach for Fitting Line Segments in Images.- Six-Point Method for Multi-Camera Systems with Reduced Solution Space.- Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex Network.- Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance.- AdaDistill: Adaptive Knowledge Distillation for Deep Face Recognition.- HERGen: Elevating Radiology Report Generation with Longitudinal Data.- Labeled Data Selection for Category Discovery.- Dependency-aware Differentiable Neural Architecture Search.- WAS: Dataset and Methods for Artistic Text Segmentation.- CLIFF: Continual Latent Diffusion for Open-Vocabulary Object Detection.- GMT: Enhancing Generalizable Neural Rendering via Geometry-Driven Multi-Reference Texture Transfer.- Norface: Improving Facial Expression Analysis by Identity NlÃ0