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Computer Vision – ECCV 2024 Workshops : Milan, Italy, September 29–October 4, 2024, Proceedings, Part XII / edited by Alessio Del Bue, Cristian Canton, Jordi Pont-Tuset, Tatiana Tommasi.

Springer Nature - Springer Computer Science (R0) eBooks 2025 English International Available online

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Format:
Book
Contributor:
Del Bue, Alessio, Editor.
Canton, Cristian., Editor.
Pont-Tuset, Jordi., Editor.
Tommasi, Tatiana., Editor.
Series:
Lecture Notes in Computer Science, 1611-3349 ; 15634
Language:
English
Subjects (All):
Image processing--Digital techniques.
Image processing.
Computer vision.
User interfaces (Computer systems).
Human-computer interaction.
Machine learning.
Computers, Special purpose.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Image Processing.
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.
User Interfaces and Human Computer Interaction.
Machine Learning.
Special Purpose and Application-Based Systems.
Physical Description:
1 online resource (LV, 472 p. 193 illus., 184 illus. in color.)
Edition:
1st ed. 2025.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Summary:
The multi-volume set LNCS 15623 until LNCS 15646 constitutes the proceedings of the workshops that were held in conjunction with the 18th European Conference on Computer Vision, ECCV 2024, which took place in Milan, Italy, during September 29–October 4, 2024. These LNCS volumes contain 574 accepted papers from 53 of the 73 workshops. The list of workshops and distribution of the workshop papers in the LNCS volumes can be found in the preface that is freely accessible online.
Contents:
Modelling the Distribution of Human Motion for Sign Language Assessment
Enhancing Human-Robot Collaborative Search through Efficient Space Sharing with On-demand Interaction
Context-Aware Full Body Anonymization using Text-to-Image Diffusion Models
Hand Gesture Recognition using Dual Graph Hierarchical Edges Representation and Graph Transformer Network
BurnSafe: Automatic Assistive Tool for Burn Severity Assessment by Semantic Segmentation
DiffSign: AI-Assisted Generation of Customizable Sign Language Videos With Enhanced Realism
Safe Resetless Reinforcement Learning: Enhancing Training Autonomy with Risk-Averse Agents
Multi-view Pose Fusion for Occlusion-Aware 3D Human Pose Estimation
HAVANA: Hierarchical stochastic neighbor embedding for Accelerated Video ANnotAtions
Aligning Object Detector Bounding Boxes with Human Preference
GSK-C2F: Graph Skeleton Modelization for Action Segmentation and Recognition using a Coarse-to-Fine strategy
Machine Learning Approaches for Analyzing Physiological Data in Remote Patient Monitoring
OPPH: A Vision-Based Operator for Measuring Body Movements for Personal Healthcare
VLM-HOI: Vision Language Models for Interpretable Human-Object Interaction Analysis
Video Editing for Video Retrieval
REST–HANDS: Rehabilitation with Egocentric Vision using Smartglasses for Treatment of Hands after Surviving Stroke
Towards Wearable Multi-Modal Human Activity Recognition with Deep Fusion Networks
Segmenting Object Affordances: Reproducibility and Sensitivity to Scale
Target-Oriented Object Grasping via Multimodal Human Guidance
A Light and Smart Wearable Platform with Multimodal Foundation Model for Enhanced Spatial Reasoning
ExeChecker: Where Did I Go Wrong?
Assistive Visual Tool: Enhancing Safe Navigation with Video Remapping in AR Headsets
OpenNav: Efficient Open Vocabulary 3D Object Detection for Smart Wheelchair Navigation
BodyShapeGPT: SMPL Body Shape Manipulation with LLMs
Photorealistic Text-to-3D Avatar Generation with Constrained Geometry and Appearance
MCRE: Multimodal Conditional Representation and Editing for Text-Motion Generation
Towards motion from video diffusion models
N Heads Are Better Than One: Exploring Theoretical Performance Bounds of 3D Face Reconstruction Methods
GECO: GPT-Driven Estimation of 3D Human-Scene Contact in the Wild
MI-NeRF: Learning a Single NeRF for Multiple Identities.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
3-031-92591-2
OCLC:
1524421524

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