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.

GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting.- Robust-Wide: Robust Watermarking against Instruction-driven Image Editing.- OAPT: Offset-Aware Partition Transformer for Double JPEG Artifacts Removal.- Formula-Supervised Visual-Geometric Pre-training.- VideoAgent: A Memory-augmented Multimodal Agent for Video Understanding.- Towards Unified Representation of Invariant-Specific Features in Missing Modality Face Anti-Spoofing.- Restoring Images in Adverse Weather Conditions via Histogram Transformer.- PosFormer: Recognizing Complex Handwritten Mathematical Expression with Position Forest Transformer.- NGP-RT: Fusing Multi-Level Hash Features with Lightweight Attention for Real-Time Novel View Synthesis.- Elysium: Exploring Object-level Perception in Videos through Semantic Integration Using MLLMs.- G2fR: Frequency Regularization in Grid-based Feature Encoding Neural Radiance Fields.- Getting it Right: Improving Spatial Consistency in Text-to-Image Models.- Generating 3D House Wireframes with Semantics.- GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image.- Shape-guided Configuration-aware Learning for Endoscopic-image-based Pose Estimation of Flexible Robotic Insl3&