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.

Raindrop Clarity: A Dual-Focused Dataset for Day and Night Raindrop Removal.- Unsupervised Moving Object Segmentation with Atmospheric Turbulence.- AccDiffusion: An Accurate Method for Higher-Resolution Image Generation.- Uncertainty-Driven Spectral Compressive Imaging with Spatial-Frequency Transformer.- CaesarNeRF: Calibrated Semantic Representation for Few-Shot Generalizable Neural Rendering.- MapTracker: Tracking with Strided Memory Fusion for Consistent Vector HD Mapping.- Image Demoireing in RAW and sRGB Domains.- LiDAR-Event Stereo Fusion with Hallucinations.- X-Former: Unifying Contrastive and Reconstruction Learning for MLLMs.- Learning Anomalies with Normality Prior for Unsupervised Video Anomaly Detection.- Revisiting Supervision for Continual Representation Learning.- FLAT: Flux-aware Imperceptible Adversarial Attacks on 3D Point Clouds.- MMBENCH: Is Your Multi-Modal Model an All-around Player?.- Implicit Filtering for Learning Neural Signed Distance Functions from 3D Point Clouds.- Unsupervised Exposure Correction.- Anytime Continual Learning for Open Vocabulary Classification.- External Knowledge Enhanced 3D Scene Generation from Sketch.- G3R: Gradient Guided Generalizable Reconstruction.- DreamScene360:lĥ