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.

ScaleDreamer: Scalable Text-to-3D Synthesis with Asynchronous Score Distillation.- SINDER: Repairing the Singular Defects of DINOv2.- SEA-RAFT: Simple, Efficient, Accurate RAFT for Optical Flow.- Learning Differentially Private Diffusion Models via Stochastic Adversarial Distillation.- General and Task-Oriented Video Segmentation.- VISAGE: Video Instance Segmentation with Appearance-Guided Enhancement.- LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT Descriptors.- ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback.- TF-FAS: Twofold-Element Fine-Grained Semantic Guidance for Generalizable Face Anti-Spoofing.- Prompting Future Driven Diffusion Model for Hand Motion Prediction.- Defect Spectrum: A Granular Look of Large-scale Defect Datasets with Rich Semantics.- Unveiling Advanced Frequency Disentanglement Paradigm for Low-Light Image Enhancement.- RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation.- UMBRAE: Unified Multimodal Brain Decoding.- NavGPT-2: Unleashing Navigational Reasoning Capability for Large Vision-Language Models.- 3D Single-object Tracking in Point Clouds with High Temporal Variation.- Adaptive Multi-task LearnlÃ0