282 citations · 389 across the 13 of their papers we have counts for
13 papers
DriveFix: Spatio-Temporally Coherent Driving Scene Restoration
Heyu Si, Brandon James Denis, Muyang Sun +9
Recent advancements in 4D scene reconstruction, particularly those leveraging diffusion priors, have shown promise for novel view synthesis in autonomous driving. However, these me…
FAR-Drive: Frame-AutoRegressive Video Generation in Closed-Loop Autonomous Driving
Yaoru Li, Federico Landi, Marco Godi +6
Despite rapid progress in autonomous driving, reliable training and evaluation of driving systems remain fundamentally constrained by the lack of scalable and interactive simulatio…
3MDiT: Unified Tri-Modal Diffusion Transformer for Text-Driven Synchronized Audio-Video Generation
Yaoru Li, Heyu Si, Federico Landi +8
Text-to-video (T2V) diffusion models have recently achieved impressive visual quality, yet most systems still generate silent clips and treat audio as a secondary concern. Existing…
Embodied Navigation at the Art Gallery
Roberto Bigazzi, Federico Landi, Silvia Cascianelli +3
Embodied agents, trained to explore and navigate indoor photorealistic environments, have achieved impressive results on standard datasets and benchmarks. So far, experiments and e…
Spot the Difference: A Novel Task for Embodied Agents in Changing Environments
Federico Landi, Roberto Bigazzi, Marcella Cornia +3
Embodied AI is a recent research area that aims at creating intelligent agents that can move and operate inside an environment. Existing approaches in this field demand the agents…
Dress Code: High-Resolution Multi-Category Virtual Try-On
Davide Morelli, Matteo Fincato, Marcella Cornia +3
Image-based virtual try-on strives to transfer the appearance of a clothing item onto the image of a target person. Prior work focuses mainly on upper-body clothes (e.g. t-shirts,…
Focus on Impact: Indoor Exploration with Intrinsic Motivation
Roberto Bigazzi, Federico Landi, Silvia Cascianelli +3
Exploration of indoor environments has recently experienced a significant interest, also thanks to the introduction of deep neural agents built in a hierarchical fashion and traine…
Working Memory Connections for LSTM
Federico Landi, Lorenzo Baraldi, Marcella Cornia +1
Recurrent Neural Networks with Long Short-Term Memory (LSTM) make use of gating mechanisms to mitigate exploding and vanishing gradients when learning long-term dependencies. For t…
Out of the Box: Embodied Navigation in the Real World
Roberto Bigazzi, Federico Landi, Marcella Cornia +3
The research field of Embodied AI has witnessed substantial progress in visual navigation and exploration thanks to powerful simulating platforms and the availability of 3D data of…
Explore and Explain: Self-supervised Navigation and Recounting
Roberto Bigazzi, Federico Landi, Marcella Cornia +3
Embodied AI has been recently gaining attention as it aims to foster the development of autonomous and intelligent agents. In this paper, we devise a novel embodied setting in whic…
Multimodal Attention Networks for Low-Level Vision-and-Language Navigation
Federico Landi, Lorenzo Baraldi, Marcella Cornia +2
Vision-and-Language Navigation (VLN) is a challenging task in which an agent needs to follow a language-specified path to reach a target destination. The goal gets even harder as t…
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…
Anomaly Locality in Video Surveillance
Federico Landi, Cees G. M. Snoek, Rita Cucchiara
This paper strives for the detection of real-world anomalies such as burglaries and assaults in surveillance videos. Although anomalies are generally local, as they happen in a lim…