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. 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.

EgoCVR: An Egocentric Benchmark for Fine-Grained Composed Video Retrieval.- Synchronization of Projective Transformations.- TLControl: Trajectory and Language Control for Human Motion Synthesis.- Insect Identification in the Wild: The AMI Dataset.- Cross-view image geo-localization with Panorama-BEV Co-Retrieval Network.- F-HOI: Toward Fine-grained Semantic-Aligned 3D Human-Object Interactions.- Test-time Model Adaptation for Image Reconstruction Using Self-supervised Adaptive Layers.- SHIC: Shape-Image Correspondences with no Keypoint Supervision.- GenRC: Generative 3D Room Completion from Sparse Image Collections.- A Probability-guided Sampler for Neural Implicit Surface Rendering.- ReMatching: Low-Resolution Representations for Scalable Shape Correspondence.- Where am I? Scene Retrieval with Language.- This Probably Looks Exactly Like That: An Invertible Prototypical Network.- Arc2Face: A Foundation Model for ID-Consistent Human Faces.- PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations.- Revisiting Feature Disentanglement Strategy in Diffusion Training and Breaking Conditional Independence Assumption in Sampling.- SweepNet: Unsupervised Learning Shape Abstraction via Neural Sweepl3&