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Media Integration and Communication Center - Università di Firenze (miccunifi)

Media Integration and Communication Center - Università di Firenze

miccunifi

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Location:Firenze - Viale Morgagni 65 - Italia

Home Page:http://www.micc.unifi.it

Twitter:@miccunifi

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Media Integration and Communication Center - Università di Firenze's repositories

ladi-vton

This is the official repository for the paper "LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On". ACM Multimedia 2023

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SEARLE

[ICCV 2023] - Zero-shot Composed Image Retrieval with Textual Inversion

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ARNIQA

[WACV 2024 Oral] - ARNIQA: Learning Distortion Manifold for Image Quality Assessment

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CIRCO

[ICCV 2023] - Composed Image Retrieval on Common Objects in context (CIRCO) dataset

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TAPE

[WACV 2024] - Reference-based Restoration of Digitized Analog Videotapes

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analog-video-restoration

[ACM MM 2022 - Demo] Restoration of Analog Videos Using Swin-UNet

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NEFER

[CVPR 2023] NEFER a Dataset for Neuromorphic Event-based Facial Expression Recognition

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QualiCLIP

Quality-Aware Image-Text Alignment for Real-World Image Quality Assessment

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ISSUES

[ICCVW 2023] - Mapping Memes to Words for Multimodal Hateful Meme Classification

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Loki

A Cross-Media Search Engine

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iamcl2r

[CVPR 2024 Highlight] - Stationary Representations: Optimally Approximating Compatibility and Implications for Improved Model Replacements (notable top 2.8%)

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cores-compatibility

This repo is the official implementation of "CoReS: Compatible Representations via Stationarity" Niccolò Biondi, Federico Pernici, Matteo Bruni, and Alberto Del Bimbo, IEEE TPAMI

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SULAND-Dataset

Dataset for Surface Landmine detection. Videos are taken in Italy (Faculty of Engineering, Florence) and USA (Franklyn and Marshal college, Philadelphia).

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CompatibleLifelongRepresentation

This repo is the official implementation of "CL^2R: Compatible Lifelong Learning Representations" Biondi et al. 2022 ACM TOMM

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ContrastiveSupervisedDistillation

This repo contains the code of "Contrastive Supervised Distillation for Continual Representation Learning", Tommaso Barletti, Niccolò Biondi, Federico Pernici, Matteo Bruni, and Alberto Del Bimbo, ICIAP2021

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cumulative-learning

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advanced-micc

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miccunifi.github.io

website docs

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new-miccunifi.github.io

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

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welcome-micc

docs beginner

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