Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXIX / edited by Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol.

Format:

Book

Contributor:

Leonardis, Aleš, Editor.

Ricci, Elisa, Editor.

Roth, Ștefan, Editor.

Russakovsky, Olga, Editor.

Sattler, Torsten, Editor.

Varol, Gül., Editor.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 15087

Language:

English

Subjects (All):

Image processing--Digital techniques.

Image processing.

Computer vision.

Computer networks.

User interfaces (Computer systems).

Human-computer interaction.

Machine learning.

Computers, Special purpose.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Image Processing.

Computer Communication Networks.

User Interfaces and Human Computer Interaction.

Machine Learning.

Special Purpose and Application-Based Systems.

Local Subjects:

Computer Imaging, Vision, Pattern Recognition and Graphics.

Image Processing.

Computer Communication Networks.

User Interfaces and Human Computer Interaction.

Machine Learning.

Special Purpose and Application-Based Systems.

Physical Description:

1 online resource (LXXXV, 487 p. 313 illus., 181 illus. in color.)

Edition:

1st ed. 2025.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2025.

Summary:

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.

Contents:

FREST: Feature RESToration for Semantic Segmentation under Multiple Adverse Conditions

ScanTalk: 3D Talking Heads from Unregistered Scans

Controllable Navigation Instruction Generation with Chain of Thought Prompting

GiT: Towards Generalist Vision Transformer through Universal Language Interface

ScatterFormer: Efficient Voxel Transformer with Scattered Linear Attention

A Cephalometric Landmark Regression Method based on Dual-encoder for High-resolution X-ray Image

Exploring the Feature Extraction and Relation Modeling For Light-Weight Transformer Tracking

LiveHPS++: Robust and Coherent Motion Capture in Dynamic Free Environment

You Only Need One Step: Fast Super-Resolution with Stable Diffusion via Scale Distillation

Gaussian Grouping: Segment and Edit Anything in 3D Scenes

CoMo: Controllable Motion Generation through Language Guided Pose Code Editing

MegaScenes: Scene-Level View Synthesis at Scale

SuperGaussian: Repurposing Video Models for 3D Super Resolution

Towards Model-Agnostic Dataset Condensation by Heterogeneous Models

Goldfish: Vision-Language Understanding of Arbitrarily Long Videos

MeshFeat: Multi-Resolution Features for Neural Fields on Meshes

Decoupling Common and Unique Representations for Multimodal Self-supervised Learning

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training

Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation

2S-ODIS: Two-Stage Omni-Directional Image Synthesis by Geometric Distortion Correction

Open-Vocabulary 3D Semantic Segmentation with Text-to-Image Diffusion Models

D-SCo: Dual-Stream Conditional Diffusion for Monocular Hand-Held Object Reconstruction

Combining Generative and Geometry Priors for Wide-Angle Portrait Correction

RealViformer: Investigating Attention for Real-World Video Super-Resolution

Pairwise Distance Distillation for Unsupervised Real-World Image Super-Resolution

Decomposed Vector-Quantized Variational Autoencoder for Human Grasp Generation

UniFS: Universal Few-shot Instance Perception with Point Representations.

ISBN:

3-031-73397-5