Alberto Baldrati

Orcid: 0000-0002-5012-5800

According to our database1, Alberto Baldrati authored at least 13 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Composed Image Retrieval using Contrastive Learning and Task-oriented CLIP-based Features.
ACM Trans. Multim. Comput. Commun. Appl., March, 2024

Multimodal-Conditioned Latent Diffusion Models for Fashion Image Editing.
CoRR, 2024

2023
Exploiting CLIP-based Multi-modal Approach for Artwork Classification and Retrieval.
CoRR, 2023

LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Zero-Shot Image Retrieval with Human Feedback.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

OpenFashionCLIP: Vision-and-Language Contrastive Learning with Open-Source Fashion Data.
Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

Mapping Memes to Words for Multimodal Hateful Meme Classification.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ECO: Ensembling Context Optimization for Vision-Language Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Zero-Shot Composed Image Retrieval with Textual Inversion.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Effective conditioned and composed image retrieval combining CLIP-based features.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Conditioned and composed image retrieval combining and partially fine-tuning CLIP-based features.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Conditioned Image Retrieval for Fashion using Contrastive Learning and CLIP-based Features.
Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021


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