Computer Vision - ECCV 2024
Description
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 29-October 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.
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Robust Nearest Neighbors for Source-Free Domain Adaptation under Class Distribution Shift.- Chains of Diffusion Models.- Time-Efficient and Identity-Consistent Virtual Try-On Using A Variant of Altered Diffusion Models.- Feature Diversification and Adaptation for Federated Domain Generalization.- Grounding Image Matching in 3D with MASt3R.- TP2O: Creative Text Pair-to-Object Generation using Balance Swap-Sampling.- RoDUS: Robust Decomposition of Static and Dynamic Elements in Urban Scenes.- RecurrentBEV: A Long-term Temporal Fusion Framework for Multi-view 3D Detection.- Efficient Bias Mitigation Without Privileged Information.- MC-PanDA: Mask Confidence for Panoptic Domain Adaptation.- Learning Neural Deformation Representation for 4D Dynamic Shape Generation.- Dynamic Guidance Adversarial Distillation with Enhanced Teacher Knowledge.- Decomposition Betters Tracking Everything Everywhere.- Straightforward Layer-wise Pruning for More Efficient Visual Adaptation.- Synchronization is All You Need: Exocentric-to-Egocentric Transfer for Temporal Action Segmentation with Unlabeled Synchronized Video Pairs.- LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models.- Domain Shifting: A Generalized Solution for Heterogeneous Cross-Modality Person Re-Identification.- Self-Supervised Video Desmoking for Laparoscopic Surgery.- Removing Rows and Columns of Tokens in Vision Transformer enables Faster Dense Prediction without Retraining.- Continuity Preserving Online CenterLine Graph Learning.- Decomposition of Neural Discrete Representations for Large-Scale 3D Mapping.- MirrorGaussian: Reflecting 3D Gaussians for Reconstructing Mirror Reflections.- Leveraging Representations from Intermediate Encoder-blocks for Synthetic Image Detection.- Exploring Vulnerabilities in Spiking Neural Networks: Direct Adversarial Attacks on Raw Event Data.- HSR: Holistic 3D Human-Scene Reconstruction from Monocular Videos.- Online Video Quality Enhancement with Spatial-Temporal Look-up Tables.- PARIS3D: Reasoning-based 3D Part Segmentation Using Large Multimodal Model.
