Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXXII / 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 ; 15090

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 (579 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:

FRI-Net: Floorplan Reconstruction via Room-wise Implicit Representation

BugNIST - a Large Volumetric Dataset for Detection under Domain Shift

SCP-Diff: Spatial-Categorical Joint Prior for Diffusion Based Semantic Image Synthesis

PoseAugment: Generative Human Pose Data Augmentation with Physical Plausibility for IMU-based Motion Capture

PixArt-Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation

Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection

A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks

Improving Unsupervised Domain Adaptation: A Pseudo-Candidate Set Approach

HeadStudio: Text to Animatable Head Avatars with 3D Gaussian Splatting

DetToolChain: A New Prompting Paradigm to Unleash Detection Ability of MLLM

Surface-Centric Modeling for High-Fidelity Generalizable Neural Surface Reconstruction

HumanRefiner: Benchmarking Abnormal Human Generation and Refining with Coarse-to-fine Pose-Reversible Guidance

Multiscale Graph Texture Network

HyTAS: A Hyperspectral Image Transformer Architecture Search Benchmark and Analysis

Integer-Valued Training and Spike-driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection

RepVF: A Unified Vector Fields Representation for Multi-task 3D Perception

Phase Concentration and Shortcut Suppression for Weakly Supervised Semantic Segmentation

Group Testing for Accurate and Efficient Range-Based Near Neighbor Search for Plagiarism Detection

CompGS: Smaller and Faster Gaussian Splatting with Vector Quantization

SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection

S-JEPA: A Joint Embedding Predictive Architecture for Skeletal Action Recognition

∞-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite Dimensions

SwapAnything: Enabling Arbitrary Object Swapping in Personalized Image Editing

Interaction-centric Spatio-Temporal Context Reasoning for Multi-Person Video HOI Recognition

Efficient Unsupervised Visual Representation Learning with Explicit Cluster Balancing

ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models against Stochastic Perturbation

Leveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9783031734113

3031734114

OCLC:

1474242148