Three workshop proposals accepted at ECCV 2024 · 04/14/2024

Glad to announce that I will be organizing three workshops at ECCV 2024: "Computational Aspects of Deep Learning" (CADL) with NVIDIA, "TWYN: Trust What You learN. 1st Workshop on Trustworthiness in Computer Vision" with Leonardo SpA, and AI4DH "Artificial Intelligence for Digital Humanities" with UNIMC. Details soon to follow!

Paper accepted at CVPR 2024 · 02/27/2024

Our paper "Training-Free Open-Vocabulary Segmentation with Offline Diffusion-Augmented Prototype Generation" (with L. Barsellotti, R. Amoroso, M. Cornia, R. Cucchiara) has been accepted at CVPR 2024!

Survey on Multimodal Large Language Models · 02/17/2024

We just released our survey on the (R)Evolution of Multimodal Large Language Models. Check it out! 

Paper accepted at ICRA 2024 · 02/10/2024

Our paper "Mapping High-level Semantic Regions in Indoor Environments without Object Recognition" (with R. Bigazzi, S. Kousik, R. Cucchiara and M. Pavone) has been accepted as oral to ICRA 2024!

Workshop and Challenge on DeepFake Analysis and Detection at CVPR 2024 · 01/07/2024

I am co-organizing the second International Workshop on DeepFake Analysis and Detection, which will be held in conjunction with CVPR 2024. See the website (www.dfad.unimore.it) for more!

Associate Editor of Pattern Recognition · 12/05/2023

I have been appointed as Associate Editor for Pattern Recognition.

Paper accepted as highlight at CVPR 2023 · 03/02/2023

We are glad to announce that our paper "Positive-Augmented Constrastive Learning for Image and Video Captioning Evaluation" has been accepted to CVPR 2023 as highlight paper (top 2.5% of submissions). Arxiv and Github.

ELLIS Scholar · 07/29/2021

I have been elected as an ELLIS Scholar in the ELLIS society, the European Laboratory for Learning and Intelligent Systems.

Interview with La Repubblica · 09/23/2020

I have been interviewed by Jaime D'Alessandro on Rep: Scienze, about Gpt-3 and Transformed-based language models. You can read the article here.

LAMV is being used at Facebook to detect harmful content · 08/05/2019

Our solution for matching and detecting copied videos, published in CVPR 2018, is now being used in production scale at Facebook to detect harmful content.

See the official announcement on the Facebook newsroom website, and the Github repository with the source code.

Training-Free Open-Vocabulary Segmentation with Offline Diffusion-Augmented Prototype Generation
L. Barsellotti, R. Amoroso, M. Cornia, L. Baraldi, R. Cucchiara
Proceedings of the 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition

What’s Outside the Intersection? Fine-grained Error Analysis for Semantic Segmentation Beyond IoU
Maximilian Bernhard, Yannic Kindermann, Roberto Amoroso, Matthias Schubert, Lorenzo Baraldi, Rita Cucchiara, Volker Tresp
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

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FOSSIL: Free Open-Vocabulary Semantic Segmentation through Synthetic References Retrieval
Luca Barsellotti, Roberto Amoroso, Lorenzo Baraldi, Rita Cucchiara
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

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Generating More Pertinent Captions by Leveraging Semantics and Style on Multi-Source Datasets
M. Cornia, L. Baraldi, G. Fiameni, R. Cucchiara
International Journal of Computer Vision

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Fully-Attentive Iterative Networks for Region-based Controllable Image and Video Captioning
M. Cornia, L. Baraldi, A. Tal, R. Cucchiara
Computer Vision and Image Understanding

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With a Little Help from your own Past: Prototypical Memory Networks for Image Captioning
Manuele Barraco, Sara Sarto, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara
Proceedings of the IEEE/CVF International Conference on Computer Vision

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Video Surveillance and Privacy: A Solvable Paradox?
Rita Cucchiara, Lorenzo Baraldi, Marcella Cornia, Sara Sarto
IEEE Computer

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Superpixel Positional Encoding to Improve ViT-based Semantic Segmentation Models
Roberto Amoroso, Matteo Tomei, Lorenzo Baraldi, Rita Cucchiara
Proceedings of the British Machine Vision Conference 2023

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Positive-Augmented Constrastive Learning for Image and Video Captioning Evaluation
Sara Sarto, Manuele Barraco, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara
Proceedings of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition

PDF  Code 

Let's ViCE! Mimicking Human Cognitive Behavior in Image Generation Evaluation
Federico Betti, Jacopo Staiano, Lorenzo Baraldi, Lorenzo Baraldi, Rita Cucchiara, Nicu Sebe
Proceedings of ACM International Conference on Multimedia 2023

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From Show to Tell: A Survey on Image Captioning
M. Stefanini, M. Cornia, L. Baraldi, S. Cascianelli, G. Fiameni, R. Cucchiara
IEEE TPAMI

PDF  Project 

Video action detection by learning graph-based spatio-temporal interactions
Matteo Tomei, Lorenzo Baraldi, Simone Calderara, Simone Bronzin, Rita Cucchiara
Computer Vision and Image Understanding

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SMArT: Training Shallow Memory-aware Transformers for Robotic Explainability
Marcella Cornia, LORENZO BARALDI, Rita Cucchiara
International Conference on Robotics and Automation

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Meshed-Memory Transformer for Image Captioning
MARCELLA CORNIA, MATTEO STEFANINI, LORENZO BARALDI, Rita CUCCHIARA
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition

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Embodied Vision-and-Language Navigation with Dynamic Convolutional Filters
Federico Landi, Lorenzo Baraldi, Massimiliano Corsini, Rita Cucchiara
BMVC 2019

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Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions
Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara
CVPR 2019

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Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-to-Image Translation
Matteo Tomei, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara
CVPR 2019

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Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model
Marcella Cornia, Lorenzo Baraldi, Giuseppe Serra, Rita Cucchiara
IEEE TRANSACTIONS ON IMAGE PROCESSING

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LAMV: Learning to align and match videos with kernelized temporal layers
Lorenzo Baraldi, Matthijs Douze, Rita Cucchiara, Hervé Jégou
CVPR 2018

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Hierarchical Boundary-Aware Neural Encoder for Video Captioning
Lorenzo Baraldi, Costantino Grana, Rita Cucchiara
CVPR 2017

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