activity
20162020
most citedM-VAD Names: a Dataset for Video Captioning with Naming

28 citations · 30 across the 3 of their papers we have counts for

collaborators

8 papers

cs.CV20201 cited

Inter-Homines: Distance-Based Risk Estimation for Human Safety

Matteo Fabbri, Fabio Lanzi, Riccardo Gasparini +3

In this document, we report our proposal for modeling the risk of possible contagiousity in a given area monitored by RGB cameras where people freely move and interact. Our system,…

cs.CV2020

A Novel Attention-based Aggregation Function to Combine Vision and Language

Matteo Stefanini, Marcella Cornia, Lorenzo Baraldi +1

The joint understanding of vision and language has been recently gaining a lot of attention in both the Computer Vision and Natural Language Processing communities, with the emerge…

cs.CV2019

Meshed-Memory Transformer for Image Captioning

Marcella Cornia, Matteo Stefanini, Lorenzo Baraldi +1

Transformer-based architectures represent the state of the art in sequence modeling tasks like machine translation and language understanding. Their applicability to multi-modal co…

cs.CV2019

SMArT: Training Shallow Memory-aware Transformers for Robotic Explainability

Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara

The ability to generate natural language explanations conditioned on the visual perception is a crucial step towards autonomous agents which can explain themselves and communicate…

cs.CV2019

Embodied Vision-and-Language Navigation with Dynamic Convolutional Filters

Federico Landi, Lorenzo Baraldi, Massimiliano Corsini +1

In Vision-and-Language Navigation (VLN), an embodied agent needs to reach a target destination with the only guidance of a natural language instruction. To explore the environment…

cs.LG20191 cited

A Deep Learning based approach to VM behavior identification in cloud systems

Matteo Stefanini, Riccardo Lancellotti, Lorenzo Baraldi +1

Cloud computing data centers are growing in size and complexity to the point where monitoring and management of the infrastructure become a challenge due to scalability issues. A p…