Federico Becattini
@fede_becat
Computer Vision Researcher - fedebecat.github.io
Computer scientist - allafinedelpalo.it
Homebrewer - instagram.com/overbrewing/
ID: 63986653
https://fedebecat.github.io/ 08-08-2009 15:41:49
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The call for two post-doc positions in #CollectionlessAI is open (University of Siena, Italy)! Have a look at the link in this post 😀 #CollectionlessAI #ContinualLearning #LifelongLearning #MachineLearning #AI Stefano Melacci Marco Gori cai.diism.unisi.it/post/post_doc_…
🚀 Heading to Melbourne for #ACMMM2024! Join our Learning Backward-Compatible tutorial 🧩 on Oct 28th, where we survey compatibility methods with fresh interpretation in the era of LLMs & VLMs. 💻 Packed with code examples and practical insights! See you there ACM Multimedia 🇦🇺🎉!
Many people are in the middle of the #CVPR2025 deadline. So I'm sharing my guide to writing a CVPR paper (or any paper). My students have had this for years but I haven't shared it publicly before. I hope you find it useful and write a great paper. #CVPR2025 medium.com/@black_51980/w…
Our work on 3D Pose Now-casting is out! Joint work with Alessandro Simoni Federico Becattini marketz Roberto Vezzani and Guido Borghi. sciencedirect.com/science/articl…
We show that forecasting future pose configurations enhances the determination of the current state. Our model is applied to depth sequences. We achieve state-of-the-art results on both robot and human pose estimation. MICC- Media Integration and Communication Center UNIMORE Università di Siena
Angjoo Kanazawa Angjoo Kanazawa and I taught CS 280, graduate computer vision, this semester at UC Berkeley. We found a combination of classical and modern CV material that worked well, and are happy to share our lecture material from the class. cs280-berkeley.github.io Enjoy!
Alternative Visual Domains for Detection, Tracking and Forecasting September 2025 Italy 🇮🇹sites.google.com/view/avd2025 💡Topics: Multi-sensor perception & fusion Novel Datasets Non-RGB,Event & LiDAR Object Detection and Tracking others... Università di Firenze MICC- Media Integration and Communication Center Università di Siena #ICIAP2025