Topics

Research is held at LIS laboratory in the QARMA Team:

• Part-based image recognition
• Fine-grained image classification
• Image retrieval
• Medical image classification
• Transfer learning
• Unsupervised learning of image representation
• Interpretability of deep models

Presentations

Seminar at INT 03/2024: Visual interpretability

Séminaire grand public IA à l’ECM: slides

Seminar at IRT 03/2024: Visual interpretability: saliency maps and interpretable classification

AI Seminar at CINaM 01/2024: slides

Oral presentation at Nice Workshop on interpretability 12/2023: Visual interpretability: saliency maps and interpretable classification

Oral presentation at ICIP 10/2023: DP-Net: Learning Discriminative Parts for image recognition

Poster presentation GDR-ISIS “IA et réseaux de neurones profonds, ouvrir la boite noire : du modèle explicable à la synthèse et présentation d’explications en signal et image” – 13/03/23: Poster – Slides

Seminar at CENTURI day 19/05/22: visual interpretability

Seminar at ILCB 02/21: visual interpretability