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

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 ; 15643

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, 454 p. 132 illus., 129 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:

FALCON: Fair Active Learning for Content Moderation

Generalizing Fairness to Generative Language Models via Reformulation of Non-discrimination Criteria

Beyond the Surface: A Comprehensive Analysis of Implicit Bias in Vision-Language Models

Fairness of AI Systems in the Legal Context

DebiasPI: Inference-time Debiasing by Prompt Iteration of a Text-to-Image Generative Model

Fairness Under Cover: Evaluating the Impact of Occlusions on Demographic Bias in Facial Recognition

Prompt and Prejudice

Localization-Guided Supervision for Robust Medical Image Classification by Vision Transformers

Top-GAP: Integrating Size Priors in CNNs for more Interpretability, Robustness, and Bias Mitigation

Pruning By Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers

An Investigation on The Position Encoding in Vision-Based Dynamics Prediction

What could go wrong? Discovering and describing failure modes in computer vision

Image-guided topic modeling for interpretable privacy classification

Integrating Local and Global Interpretability for Deep Concept-Based Reasoning Models

From Flexibility to Manipulation: The Slippery Slope of XAI Evaluation

Feature Contribution in Monocular Depth Estimation

Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go?

Explanation Alignment: Quantifying the Correctness of Model Reasoning At Scale

Detect Fake with Fake: Leveraging Synthetic Data-driven Representation for Synthetic Image Detection

Incremental and Decremental Continual Learning for Privacy-preserving Video Recognition

Exploring Strengths and Weaknesses of Super-Resolution Attack in Deepfake Detection

Are CLIP features all you need for Universal Synthetic Image Origin Attribution?

GLoFool: global enhancements and local perturbations to craft adversarial images

Evolution of Detection Performance throughout the Online Lifespan of Synthetic Images

Your diffusion model is an implicit synthetic image detector

The Phantom Menace: Unmasking Privacy Leakages in Vision-Language Models.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-031-92648-X

OCLC:

1524424310