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.

YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information.- Unsupervised Multi-modal Medical Image Registration via Invertible Translation.- Functional Transform-Based Low-Rank Tensor Factorization for Multi-Dimensional Data Recovery.- CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model.- Domain Reduction Strategy for Non-Line-of-Sight Imaging.- HPE-Li: WiFi-enabled Lightweight Dual Selective Kernel Convolution for Human Pose Estimation.- Cut out the Middleman: Revisiting Pose-based Gait Recognition.- HiEI: A Universal Framework for Generating High-quality Emerging Images from Natural Images.- High-Precision Self-Supervised Monocular Depth Estimation with Rich-Resource Prior.- SGS-SLAM: Semantic Gaussian Splatting For Neural Dense SLAM.- View Selection for 3D Captioning via Diffusion Ranking.- OmniSSR: Zero-shot Omnidirectional Image Super-Resolution using Stable Diffusion Model.- UDiffText: A Unified Framework for High-quality Text Synthesis in Arbitrary Images via Character-aware Diffusion Models.- Confidence Self-Calibration for Multi-Label Class-Incremental Learning.- OMG: Occlusion-friendly Personalized Multi-concept Generation in Diffusion Models.- Versatile Incremló%