Skip to content
View marcomistretta's full-sized avatar
🎯
Focusing
🎯
Focusing

Highlights

  • Pro

Organizations

@miccunifi

Block or report marcomistretta

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
marcomistretta/README.md

Banner

Hi πŸ‘‹ I'm Marco Mistretta!

I’m passionate about Artificial Intelligence and its impact on how we interact with the world around us. My background in Computer Engineering and AI led me to pursue a PhD at MICC in Florence, Italy, under the esteemed supervision of Prof. Andrew D. Bagdanov. Now I’m diving deep into the world of Multimodal Vision-Language Models and their applications in solving real-world challenges.

πŸ₯‡ First Author Publications:

🌟 What Drives Me:

I'm really into:

  • 🧠 Multimodal Learning: Combining visual and language data to get a richer understanding of the world.
  • πŸ’¬ Natural Language Processing (NLP): Teaching machines to understand and communicate in human language.
  • πŸ–ΌοΈ Contrastive Self-Supervised Learning: Finding patterns in data without the need for human labels.
  • ♻️ Incremental Learning: Allowing AI models to keep learning from new information without forgetting the old ones.
  • 🎯 Few-Shot Adaptation: Quickly adapting AI to a diverse data distribution with minimal examples.
  • πŸ“ Prompt Learning: Tuning only a few learnable parameters, so-called "prompts", to maximize VLMs performance.
  • πŸš€ Test-Time Adaptation: Letting models adjust during inference to handle unseen data on the fly.

πŸ“ Recent Publications:

πŸš€ Skills & Technologies:

  • Programming Languages: Python, Java, C++, MATLAB, R
  • Frameworks & Tools: PyTorch, TensorFlow, Hugging Face, OpenCV
  • Research Areas: Vision-Language Models, Self-Supervised Learning, Few-Shot Learning, Prompt Learning, Incremental Learning

πŸ”— Let's Connect!

I’d love to connect! Feel free to reach out on:

LinkedIn X Instagram

Pinned Loading

  1. miccunifi/KDPL miccunifi/KDPL Public

    [ECCV 2024] - Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation

    Python 44 1