Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXVII / 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 ; 15085

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, 485 p. 292 illus., 147 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:

SLAck: Semantic, Location, and Appearance Aware Open-Vocabulary Tracking

Tensorial template matching for fast cross-correlation with rotations and its application for tomography

FreeAugment: Data Augmentation Search Across All Degrees of Freedom

Learning Representations of Satellite Images From Metadata Supervision

I2-SLAM: Inverting Imaging Process for Robust Photorealistic Dense SLAM

FlashTex: Fast Relightable Mesh Texturing with LightControlNet

GS-Pose: Category-Level Object Pose Estimation via Geometric and Semantic Correspondence

ArtVLM: Attribute Recognition Through Vision-Based Prefix Language Modeling

PanoFree: Tuning-Free Holistic Multi-view Image Generation with Cross-view Self-Guidance

SOS: Segment Object System for Open-World Instance Segmentation With Object Priors

Lagrangian Hashing for Compressed Neural Field Representations

EDformer: Transformer-Based Event Denoising Across Varied Noise Levels

Foster Adaptivity and Balance in Learning with Noisy Labels

MetaAug: Meta-Data Augmentation for Post-Training Quantization

Thermal3D-GS: Physics-induced 3D Gaussians for Thermal Infrared Novel-view Synthesis

Cross-Platform Video Person ReID: A New Benchmark Dataset and Adaptation Approach

Unleashing the Power of Prompt-driven Nucleus Instance Segmentation

Gaze Target Detection Based on Head-Local-Global Coordination

3DSA:Multi-View 3D Human Pose Estimation With 3D Space Attention Mechanisms

Toward Tiny and High-quality Facial Makeup with Data Amplify Learning

An Economic Framework for 6-DoF Grasp Detection

GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction

Powerful and Flexible: Personalized Text-to-Image Generation via Reinforcement Learning

AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer

Multi-Label Cluster Discrimination for Visual Representation Learning

Plan, Posture and Go: Towards Open-vocabulary Text-to-Motion Generation

DAMSDet: Dynamic Adaptive Multispectral Detection Transformer with Competitive Query Selection and Adaptive Feature Fusion.

ISBN:

3-031-73383-5