Tiberio

👏 MICC at #ICIAP2025 23rd International Conference on Image Analysis and Processing, Sept. 15–19 Rome. ✔Paper: “Prompt Based Video Colorization” By Silvia Dani (Univ. Florence), Tiberio Uricchio (Univ. Pisa), Lorenzo Seidenari (Univ. Florence) #miccunifi #unifi #unipi

📢 Call for Papers! The ACM Multimedia 2025 is heading to Dublin, Ireland 🇮🇪, from October 27-31, 2025! Submit your work & shape the future of multimedia! 🔗acmmm2025.org/call-for-paper… #ACMMM2025 #CallForPapers #AI #Multimedia #DeepLearning #ComputerVision

Tiberio Uricchio nows takes the floor with his talk “Bridging the Semantic Gap between Humans and Machines Vision” at the “Human Beings and Machines” conference @ university di Macerata @ENumeriques @crihunum @FASNouvelles

Our demo is done! Lot of interesting discussion! Thank you for coming! #acmmm19

Join us to see our demo on real time image quality enhancement on mobile! #acmmm19

Advertisement for our demo at #acmmm19 session 2 in room Galliéni 5. See how to improve video quality in real time on mobile devices.

SAVE THE DATE- 25th International #Conference on #PatternRecognition Milan, 13-18 september 2020 #ICPR2020milan #ArtificialIntelligence #ComputerVision #MachineLearning #Robotics #IntelligentSystems #ImageProcessing #SignalProcessing #Biometrics tiny.cc/qodbdz

Great talk at #euroscipy on using GANs to remove compression artifacts and therefore improving machine vision results. Developed on an @nvidia Titan X.

This Thursday I'll present our most recent work on high quality video experience using deep neural networks at EuroSciPy 2019. If you attending you'll find me in Mitxelena room at 12:00. I'll show how to improve highly compressed videos on the end-user side.

Excited to share our recent paper about using fixed classifiers in CNN. Our approach shows that a special set of fixed classifiers generates stationary and maximally discriminative features that can be a priori “placed” in the embedding space before starting the learning process

The Wasserstein GAN should have been called the GAN whose Discriminator's A Lipschitz Function (GANDALF).

Giuseppe Amato reminds us of the importance to use objective metrics for assessment of efficiency #cbmi2017 #keynote

Marco Bertini welcomes everybody at #cbmi2017

International Conference #cbmi2017 @cbmi2017 @nemech_unifi @miccunifi @MuseoInnocenti

A video showing a full demo of our work on smart context-aware audioguide based on computer vision is here: vimeo.com/187957085 #acmmm16

#acmmm16 SIGMM Award Talk live! twitter.com/6d3/status/788…

LIVE on #Periscope pscp.tv/w/atRxPjE0Mjc3…

Come to see our work on video action recognition exploiting textual description! #acmmm16

Demo ready! Join us to try our real time wearable system for an improved museum experience! #acmmm16

Workshop on Web-vision & Social Media is starting at 8:45 #eccv2016. Don't miss it! Starting with Laurens' talk goo.gl/X9IqaH