Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part III / 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 ; 15061

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 (556 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:

Learning 3D Geometry and Feature Consistent Gaussian Splatting for Object Removal

Motion-prior Contrast Maximization for Dense Continuous-Time Motion Estimation

Efficient Few-Shot Action Recognition via Multi-Level Post-Reasoning

Text2Place: Affordance-aware Text Guided Human Placement

OGNI-DC: Robust Depth Completion with Optimization-Guided Neural Iterations

Zero-Shot Multi-Object Scene Completion

Beta-Tuned Timestep Diffusion Model

POA: Pre-training Once for Models of All Sizes

Taming Latent Diffusion Model for Neural Radiance Field Inpainting

MapDistill: Boosting Efficient Camera-based HD Map Construction via Camera-LiDAR Fusion Model Distillation

ByteEdit: Boost, Comply and Accelerate Generative Image Editing

ProDepth: Boosting Self-Supervised Multi-Frame Monocular Depth with Probabilistic Fusion

High-Resolution and Few-shot View Synthesis from Asymmetric Dual-lens Inputs

Accelerating Image Super-Resolution Networks with Pixel-Level Classification

LASS3D: Language-Assisted Semi-Supervised 3D Semantic Segmentation with Progressive Unreliable Data Exploitation

Contourlet Residual for Prompt Learning Enhanced Infrared Image Super-Resolution

Click-Gaussian: Interactive Segmentation to Any 3D Gaussians

Random Walk on Pixel Manifolds for Anomaly Segmentation of Complex Driving Scenes

DySeT: a Dynamic Masked Self-distillation Approach for Robust Trajectory Prediction

Track Everything Everywhere Fast and Robustly

Towards Open-ended Visual Quality Comparison

FreeInit: Bridging Initialization Gap in Video Diffusion Models

DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs

Eliminating Feature Ambiguity for Few-Shot Segmentation

Soft Prompt Generation for Domain Generalization

Shedding More Light on Robust Classifiers under the lens of Energy-based Models.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-031-72646-4

OCLC:

1465275169