b'Fabio Galasso'

research

∙ 09/16/2023

Staged Contact-Aware Global Human Motion Forecasting

Scene-aware global human motion forecasting is critical for manifold app...

0 Luca Scofano, et al. ∙

research

∙ 08/28/2023

Compositional Semantic Mix for Domain Adaptation in Point Cloud Segmentation

Deep-learning models for 3D point cloud semantic segmentation exhibit li...

0 Cristiano Saltori, et al. ∙

research

∙ 07/14/2023

Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection

Anomalies are rare and anomaly detection is often therefore framed as On...

0 Alessandro Flaborea, et al. ∙

research

∙ 06/19/2023

Hyperbolic Active Learning for Semantic Segmentation under Domain Shift

For the task of semantic segmentation (SS) under domain shift, active le...

0 Luca Franco, et al. ∙

research

∙ 04/17/2023

About latent roles in forecasting players in team sports

Forecasting players in sports has grown in popularity due to the potenti...

0 Luca Scofano, et al. ∙

research

∙ 04/12/2023

Best Practices for 2-Body Pose Forecasting

The task of collaborative human pose forecasting stands for predicting t...

0 Muhammad Rameez Ur Rahman, et al. ∙

research

∙ 03/10/2023

HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action Representations

Self-paced learning has been beneficial for tasks where some initial kno...

0 Luca Franco, et al. ∙

research

∙ 01/23/2023

Contracting Skeletal Kinematic Embeddings for Anomaly Detection

Detecting the anomaly of human behavior is paramount to timely recognizi...

0 Alessandro Flaborea, et al. ∙

research

∙ 11/16/2022

Are we certain it's anomalous?

The progress in modelling time series and, more generally, sequences of ...

0 Alessandro Flaborea, et al. ∙

research

∙ 09/21/2022

Query-Guided Networks for Few-shot Fine-grained Classification and Person Search

Few-shot fine-grained classification and person search appear as distinc...

0 Bharti Munjal, et al. ∙

research

∙ 07/24/2022

Pose Forecasting in Industrial Human-Robot Collaboration

Pushing back the frontiers of collaborative robots in industrial environ...

0 Alessio Sampieri, et al. ∙

research

∙ 07/20/2022

CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation

3D LiDAR semantic segmentation is fundamental for autonomous driving. Se...

0 Cristiano Saltori, et al. ∙

research

∙ 07/20/2022

GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation

3D point cloud semantic segmentation is fundamental for autonomous drivi...

0 Cristiano Saltori, et al. ∙

research

∙ 03/24/2022

Deep learning for laboratory earthquake prediction and autoregressive forecasting of fault zone stress

Earthquake forecasting and prediction have long and in some cases sordid...

0 Laura Laurenti, et al. ∙

research

∙ 03/22/2022

Under the Hood of Transformer Networks for Trajectory Forecasting

Transformer Networks have established themselves as the de-facto state-o...

0 Luca Franco, et al. ∙

research

∙ 10/09/2021

Space-Time-Separable Graph Convolutional Network for Pose Forecasting

Human pose forecasting is a complex structured-data sequence-modelling t...

0 Theodoros Sofianos, et al. ∙

research

∙ 02/12/2021

Adversarial Branch Architecture Search for Unsupervised Domain Adaptation

Unsupervised Domain Adaptation (UDA) is a key field in visual recognitio...

0 Luca Robbiano, et al. ∙

research

∙ 10/16/2020

SF-UDA^3D: Source-Free Unsupervised Domain Adaptation for LiDAR-Based 3D Object Detection

3D object detectors based only on LiDAR point clouds hold the state-of-t...

0 Cristiano Saltori, et al. ∙

research

∙ 09/04/2020

Class Interference Regularization

Contrastive losses yield state-of-the-art performance for person re-iden...

0 Bharti Munjal, et al. ∙

research

∙ 05/21/2020

Joint Detection and Tracking in Videos with Identification Features

Recent works have shown that combining object detection and tracking tas...

0 Bharti Munjal, et al. ∙

research

∙ 04/17/2020

An integrated light management system with real-time light measurement and human perception

Illumination is important for well-being, productivity and safety across...

0 Theodore Tsesmelis, et al. ∙

research

∙ 03/18/2020

Transformer Networks for Trajectory Forecasting

Most recent successes on forecasting the people motion are based on LSTM...

0 Francesco Giuliari, et al. ∙

research

∙ 09/03/2019

Knowledge Distillation for End-to-End Person Search

We introduce knowledge distillation for end-to-end person search. End-to...

0 Bharti Munjal, et al. ∙

research

∙ 09/03/2019

Knowledge Distillation for End-to-EndPerson Search

We introduce knowledge distillation for end-to-end person search. End-to...

0 Bharti Munjal, et al. ∙

research

∙ 05/03/2019

Query-guided End-to-End Person Search

Person search has recently gained attention as the novel task of finding...

0 Bharti Munjal, et al. ∙

research

∙ 01/30/2019

Human-centric light sensing and estimation from RGBD images: The invisible light switch

Lighting design in indoor environments is of primary importance for at l...

0 Theodore Tsesmelis, et al. ∙

research

∙ 01/07/2019

Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets

In this work, we explore the correlation between people trajectories and...

0 Irtiza Hasan, et al. ∙

research

∙ 09/20/2018

RGBD2lux: Dense light intensity estimation with an RGBD sensor

Lighting design and modelling luminaires in a virtual or real scene) or...

2 Theodore Tsesmelis, et al. ∙

research

∙ 05/02/2018

MX-LSTM: mixing tracklets and vislets to jointly forecast trajectories and head poses

Recent approaches on trajectory forecasting use tracklets to predict the...

0 Irtiza Hasan, et al. ∙

research

∙ 03/28/2018

Adversarial Network Compression

Neural network compression has recently received much attention due to t...

1 Vasileios Belagiannis, et al. ∙

research

∙ 09/03/2016

Towards Segmenting Consumer Stereo Videos: Benchmark, Baselines and Ensembles

Are we ready to segment consumer stereo videos? The amount of this data ...

0 Wei-Chen Chiu, et al. ∙

Fabio Galasso

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