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

Format:

Book

Author/Creator:

Leonardis, Aleš.

Contributor:

Ricci, Elisa.

Roth, Ștefan.

Russakovsky, Olga.

Sattler, Torsten.

Varol, Gül.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 15118

Language:

English

Subjects (All):

Image processing--Digital techniques.

Image processing.

Computer vision.

Computer networks.

Machine learning.

Computers, Special purpose.

User interfaces (Computer systems).

Human-computer interaction.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Image Processing.

Computer Communication Networks.

Machine Learning.

Special Purpose and Application-Based Systems.

User Interfaces and Human Computer Interaction.

Local Subjects:

Computer Imaging, Vision, Pattern Recognition and Graphics.

Image Processing.

Computer Communication Networks.

Machine Learning.

Special Purpose and Application-Based Systems.

User Interfaces and Human Computer Interaction.

Physical Description:

1 online resource (572 pages)

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:

Sur^2f: A Hybrid Representation for High-Quality and Efficient Surface Reconstruction from Multi-view Images

HO-Gaussian: Hybrid Optimization of 3D Gaussian Splatting for Urban Scenes

Pseudo-keypoint RKHS Learning for Self-supervised 6DoF Pose Estimation

Consistent 3D Line Mapping

Distributed Active Client Selection With Noisy Clients Using Model Association Scores

PixOOD: Pixel-Level Out-of-Distribution Detection

GarmentCodeData: A Dataset of 3D Made-to-Measure Garments With Sewing Patterns

Towards a Density Preserving Objective Function for Learning on Point Sets

AnatoMask: Enhancing Medical Image Segmentation with Reconstruction-guided Self-masking

VF-NeRF: Viewshed Fields for Rigid NeRF Registration

Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction

Trainable Highly-expressive Activation Functions

Region-Aware Sequence-to-Sequence Learning for Hyperspectral Denoising

Self-Supervised Representation Learning for Adversarial Attack Detection

Do text-free diffusion models learn discriminative visual representations?

Clean & Compact: Efficient Data-Free Backdoor Defense with Model Compactness

DOCCI: Descriptions of Connected and Contrasting Images

EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks

AttentionHand: Text-driven Controllable Hand Image Generation for 3D Hand Reconstruction in the Wild

Dataset Quantization with Active Learning based Adaptive Sampling

LogoSticker: Inserting Logos into Diffusion Models for Customized Generation

LEROjD: Lidar Extended Radar-Only Object Detection

ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative Generation

Match-Stereo-Videos: Bidirectional Alignment for Consistent Dynamic Stereo Matching

Probabilistic Image-Driven Traffic Modeling via Remote Sensing

IntrinsicAnything: Learning Diffusion Priors for Inverse Rendering Under Unknown Illumination

VideoStudio: Generating Consistent-Content and Multi-Scene Videos.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9783031730276

3031730275

OCLC:

1474243202