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20232026
most citedExploiting CLIP-based Multi-modal Approach for Artwork Classification and Retrieval

7 citations · 18 across the 15 of their papers we have counts for

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8 papers · 1 filter

cs.CV2023

Mapping Memes to Words for Multimodal Hateful Meme Classification

Giovanni Burbi, Alberto Baldrati, Lorenzo Agnolucci +2

Multimodal image-text memes are prevalent on the internet, serving as a unique form of communication that combines visual and textual elements to convey humor, ideas, or emotions.…

cs.CV2023★ 7 cited

Exploiting CLIP-based Multi-modal Approach for Artwork Classification and Retrieval

Alberto Baldrati, Marco Bertini, Tiberio Uricchio +1

Given the recent advances in multimodal image pretraining where visual models trained with semantically dense textual supervision tend to have better generalization capabilities th…

cs.CV2023

OpenFashionCLIP: Vision-and-Language Contrastive Learning with Open-Source Fashion Data

Giuseppe Cartella, Alberto Baldrati, Davide Morelli +3

The inexorable growth of online shopping and e-commerce demands scalable and robust machine learning-based solutions to accommodate customer requirements. In the context of automat…

cs.CV2023★ 1 cited

Composed Image Retrieval using Contrastive Learning and Task-oriented CLIP-based Features

Alberto Baldrati, Marco Bertini, Tiberio Uricchio +1

Given a query composed of a reference image and a relative caption, the Composed Image Retrieval goal is to retrieve images visually similar to the reference one that integrates th…

cs.CV2023

ECO: Ensembling Context Optimization for Vision-Language Models

Lorenzo Agnolucci, Alberto Baldrati, Francesco Todino +3

Image recognition has recently witnessed a paradigm shift, where vision-language models are now used to perform few-shot classification based on textual prompts. Among these, the C…

cs.CV2023★ 3 cited

LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On

Davide Morelli, Alberto Baldrati, Giuseppe Cartella +3

The rapidly evolving fields of e-commerce and metaverse continue to seek innovative approaches to enhance the consumer experience. At the same time, recent advancements in the deve…

cs.CV2023★ 2 cited

Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing

Alberto Baldrati, Davide Morelli, Giuseppe Cartella +3

Fashion illustration is used by designers to communicate their vision and to bring the design idea from conceptualization to realization, showing how clothes interact with the huma…

cs.CV2023★ 3 cited

Zero-Shot Composed Image Retrieval with Textual Inversion

Alberto Baldrati, Lorenzo Agnolucci, Marco Bertini +1

Composed Image Retrieval (CIR) aims to retrieve a target image based on a query composed of a reference image and a relative caption that describes the difference between the two i…