Computer Vision – ECCV 2024 Workshops: Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXII

Author:   Alessio Del Bue ,  Cristian Canton ,  Jordi Pont-Tuset ,  Tatiana Tommasi
Publisher:   Springer International Publishing AG
Volume:   15644
ISBN:  

9783031920882


Pages:   416
Publication Date:   04 July 2025
Format:   Paperback
Availability:   Not yet available   Availability explained
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Computer Vision – ECCV 2024 Workshops: Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXII


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Overview

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.      

Full Product Details

Author:   Alessio Del Bue ,  Cristian Canton ,  Jordi Pont-Tuset ,  Tatiana Tommasi
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Volume:   15644
ISBN:  

9783031920882


ISBN 10:   3031920880
Pages:   416
Publication Date:   04 July 2025
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.
Language:   English

Table of Contents

.- Landmark-Based Screening: Femoral Head Coverage and Graf Classification in Infant Developmental Dysplasia of the Hip. .- MVTN: A Multiscale Video Transformer Network for Hand Gesture Recognition. .- One-Shot Image Restoration. .- Medical Image Segmentation with SAM-generated Annotations. .- Manipulating and Mitigating Generative Model Biases without Retraining. .- Fake or JPEG? Revealing Common Biases in Generated Image Detection Datasets. .- Generated Bias: Auditing Internal Bias Dynamics of Text-To-Image Generative Models. .- A semiotic methodology for assessing the compositional effectiveness of generative text-to-image models (Midjourney and DALLoE). .- A Framework for Critical Evaluation of Text-to-Image Models: Integrating Art Historical Analysis, Artistic Exploration, and Critical Prompt Engineering. .- Civiverse: A Dataset for Analyzing User Engagement with Open-Source TTI-Models. .- Exploring the Boundaries of Content Moderation in Text-to-Image Generation. .- Rethinking HTG Evaluation: Bridging Generation and Recognition. .- Evaluation Framework for Feedback Generation Methods in Skeletal Movement Assessment. .- FaceOracle: Chat with a Face Image Oracle. .- Makeup-Guided Facial Privacy Protection via Untrained Neural Network Priors. .- How to Squeeze An Explanation Out of Your Model. .- How were you created? Explaining synthetic face images generated by diffusion models. .- Frequency Matters: Explaining Biases of Face Recognition in the Frequency Domain. .- How green is continual learning, really? Analyzing the energy consumption in continual training of vision foundation models. .- Architecture-Agnostic Unsupervised Gradient Regularization For Parameter-Efficient Transfer Learning. .- Foundation Model or Finetune? Evaluation of few-shot semantic segmentation for river pollution. .- Personalizing Multimodal Large Language Models for Image Captioning: An Experimental Analysis. .- Improved Baselines for Data-efficient Perceptual Augmentation of LLMs. .- Watt for What: Rethinking Deep Learning’s Energy-Performance Relationship.

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