Computer Vision ECCV 2024 Workshops: Milan, Italy, September 29October 4, 2024, Proceedings, Part XXI [Pehme köide]

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.