Lorenzo Baraldi

09/23/2020 · Interview with La Repubblica

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.

07/01/2020 · The first Workshop on Computational Aspects of Deep Learning at ICPR 2020

Together with NVAITC, we are organizing the first Workshop on Computational Aspects of Deep Learning (CADL), which will be hosted at ICPR 2020. See the website for more. Submissions are now open! Deadline is October 17th, 2020 [Submission website]

06/22/2020 · Call for Demo and Exhibit at ICPR 2020

ICPR invites researchers to present live demonstration of their research results and systems. Demos are intended as real, practical, and possibly interactive proofs of the presenters’ research ideas and scientific or engineering contributions. They should provide the audience the opportunity to discuss working systems, applications and prototypes based on leading edge research, and to discuss and interact in first person with the researchers presenting the demo.

We are looking for exciting demos and demonstrations by October 10th 2020. See the call.

04/13/2020 · Walking through the museum, while staying home

The Galleria Estense of Modena, in partnership with AImageLab, is organizing virtual tours that let visitors walk through the halls of the art gallery without leaving their homes. See the press releases on Gazzetta di Modena and Modena in Diretta.

02/14/2020 · Associate Editor of Pattern Recognition Letters

I have been appointed as Associate Editor at Pattern Recognition Letters.

09/11/2019 · Interview at Smart City on Radio24

I have been interviewed by Maurizio Melis on Radio24. You can hear the podcast of the interview here.

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

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.

STAGE: Spatio-Temporal Attention on Graph Entities for Video Action Detection
Matteo Tomei, Lorenzo Baraldi, Simone Calderara, Simone Bronzin, Rita Cucchiara

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Perceive, Transform, and Act: Multi-Modal Attention Networks for Vision-and-Language Navigation
Federico Landi, Marcella Cornia, Lorenzo Baraldi, Massimiliano Corsini, Rita Cucchiara

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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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Explaining Digital Humanities by Aligning Images and Textual Descriptions
Marcella Cornia, Matteo Stefanini, Lorenzo Baraldi, Massimiliano Corsini, Rita Cucchiara
PATTERN RECOGNITION LETTERS

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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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