2 citations · 4 across the 9 of their papers we have counts for
7 papers · 1 filter
ICPR 2024 Competition on Domain Adaptation and GEneralization for Character Classification (DAGECC)
Sofia Marino, Jennifer Vandoni, Emanuel Aldea +3
In this companion paper for the DAGECC (Domain Adaptation and GEneralization for Character Classification) competition organized within the frame of the ICPR 2024 conference, we pr…
Text-to-Image Models for Counterfactual Explanations: a Black-Box Approach
Guillaume Jeanneret, Loïc Simon, Frédéric Jurie
This paper addresses the challenge of generating Counterfactual Explanations (CEs), involving the identification and modification of the fewest necessary features to alter a classi…
On the De-duplication of LAION-2B
Ryan Webster, Julien Rabin, Loic Simon +1
Generative models, such as DALL-E, Midjourney, and Stable Diffusion, have societal implications that extend beyond the field of computer science. These models require large image d…
Adversarial Counterfactual Visual Explanations
Guillaume Jeanneret, Loïc Simon, Frédéric Jurie
Counterfactual explanations and adversarial attacks have a related goal: flipping output labels with minimal perturbations regardless of their characteristics. Yet, adversarial att…
Automatic discovery of discriminative parts as a quadratic assignment problem
Ronan Sicre, Julien Rabin, Yannis Avrithis +2
Part-based image classification consists in representing categories by small sets of discriminative parts upon which a representation of the images is built. This paper addresses t…
Deep fusion of visual signatures for client-server facial analysis
Binod Bhattarai, Gaurav Sharma, Frederic Jurie
Facial analysis is a key technology for enabling human-machine interaction. In this context, we present a client-server framework, where a client transmits the signature of a face…