Thomas De Min

Ph.D.

Thomas De Min

2023–Present thomas.demin@unitn.it

Research Interests

Continual Learning

Supervised by

Elisa Ricci

Elisa Ricci

Full Professor

Papers (5)

2025

Group-robust Machine Unlearning
PDF
Unlearning Personal Data from a Single Image
TMLR 2025

Unlearning Personal Data from a Single Image

Thomas De Min, Massimiliano Mancini, Stéphane Lathuilière, Subhankar Roy, Elisa Ricci
PDF Website

2024

Less is more: Summarizing Patch Tokens for efficient Multi-Label Class-Incremental Learning
CoLLAs 2024

Less is more: Summarizing Patch Tokens for efficient Multi-Label Class-Incremental Learning

Thomas De Min, Massimiliano Mancini, Stéphane Lathuilière, Subhankar Roy, Elisa Ricci
PDF Website
Conditioned Prompt-Optimization for Continual Deepfake Detection
ICPR 2024

Conditioned Prompt-Optimization for Continual Deepfake Detection

Francesco Laiti, Benedetta Liberatori, Thomas De Min, Elisa Ricci
PDF Website

2023

On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision Transformers
ICCV 2023

On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision Transformers

Thomas De Min, Massimiliano Mancini, Karteek Alahari, Xavier Alameda-Pineda, Elisa Ricci
PDF Website