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Lorenzo Baraldi

Assistant Professor, AImageLab
University of Modena and Reggio Emilia
  • Email: lorenzo.baraldi -at- unimore.it
  • Curriculum: C.V.
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News

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.

Older news can be found in the news archive.


Recent pre-prints

STAGE: Spatio-Temporal Attention on Graph Entities for Video Action Detection

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

   

Perceive, Transform, and Act: Multi-Modal Attention Networks for Vision-and-Language Navigation

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

   


Featured publications

Complete list is available in the publications page.

SMArT: Training Shallow Memory-aware Transformers for Robotic Explainability

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

 

Meshed-Memory Transformer for Image Captioning

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

   

Explaining Digital Humanities by Aligning Images and Textual Descriptions

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

 

Embodied Vision-and-Language Navigation with Dynamic Convolutional Filters

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

   

Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions

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

   

Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-to-Image Translation

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

   

Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model

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

   

LAMV: Learning to align and match videos with kernelized temporal layers

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

   

Hierarchical Boundary-Aware Neural Encoder for Video Captioning

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

 


Teaching

Sistemi di Visione Artificiale (2020/2021)
Course material
Laurea in Ingegneria Informatica - Sede di Mantova
Lorenzo Baraldi, Davide Soresina

Neural Network Computing, AI and Machine Learning for Automotive / Learning algorithms for smart connected systems (2020/2021)
Course material
Laurea Magistrale in Ingegneria Informatica, Advanced Automotive Electronics Engineering, Electronics Engineering
Rita Cucchiara, Lorenzo Baraldi

Vision and Cognitive Systems (2019/2020)
Course material · Upcoming exams
Laurea Magistrale in Ingegneria Informatica
Rita Cucchiara, Lorenzo Baraldi

Neural Network Computing, AI and Machine Learning for Automotive (2019/2020)
Course material · Upcoming exams
Laurea Magistrale in Ingegneria Informatica
Rita Cucchiara, Lorenzo Baraldi

Vision and Cognitive Systems (2018/2019)
Course material · Upcoming exams
Laurea Magistrale in Ingegneria Informatica
Rita Cucchiara, Lorenzo Baraldi

Past courses

  • Fundamentals of Computer Science I, Assistant (2018)
  • Computer Vision, Laboratory lecturer (2018)
  • Fundamentals of Computer Science I, Tutor (2017)
  • Computer Vision, Laboratory lecturer (2017)
  • Fundamentals of Computer Science I, Tutor (2016)
  • Computer Vision, Laboratory lecturer (2016)
  • Visual Computing and Multimedia Technologies, Laboratory lecturer (2015)
  • Machine Learning and Patter Recognition, Teaching assistant (2015) - three lectures on Deep Learning and Convolutional Neural Networks [Lab notes]
  • Fundamentals of Computer Science I, Tutor (2015)
  • Computer Vision, Laboratory lecturer (2015)