Alessio Sampieri
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View article: CaTS-Bench: Can Language Models Describe Numeric Time Series?
CaTS-Bench: Can Language Models Describe Numeric Time Series? Open
Time series captioning, the task of describing numeric time series in natural language, requires numerical reasoning, trend interpretation, and contextual understanding. Existing benchmarks, however, often rely on synthetic data or overly …
View article: Social EgoMesh Estimation
Social EgoMesh Estimation Open
Accurately estimating the 3D pose of the camera wearer in egocentric video sequences is crucial to modeling human behavior in virtual and augmented reality applications. The task presents unique challenges due to the limited visibility of …
View article: Contracting skeletal kinematics for human-related video anomaly detection
Contracting skeletal kinematics for human-related video anomaly detection Open
Detecting the anomaly of human behavior is paramount to timely recognizing endangering situations, such as street fights or elderly falls. However, anomaly detection is complex since anomalous events are rare and because it is an open set …
View article: Length-Aware Motion Synthesis via Latent Diffusion
Length-Aware Motion Synthesis via Latent Diffusion Open
The target duration of a synthesized human motion is a critical attribute that requires modeling control over the motion dynamics and style. Speeding up an action performance is not merely fast-forwarding it. However, state-of-the-art tech…
View article: Following the Human Thread in Social Navigation
Following the Human Thread in Social Navigation Open
The success of collaboration between humans and robots in shared environments relies on the robot's real-time adaptation to human motion. Specifically, in Social Navigation, the agent should be close enough to assist but ready to back up t…
View article: About Latent Roles in Forecasting Players in Team Sports
About Latent Roles in Forecasting Players in Team Sports Open
View article: Staged Contact-Aware Global Human Motion Forecasting
Staged Contact-Aware Global Human Motion Forecasting Open
Scene-aware global human motion forecasting is critical for manifold applications, including virtual reality, robotics, and sports. The task combines human trajectory and pose forecasting within the provided scene context, which represents…
View article: About latent roles in forecasting players in team sports
About latent roles in forecasting players in team sports Open
Forecasting players in sports has grown in popularity due to the potential for a tactical advantage and the applicability of such research to multi-agent interaction systems. Team sports contain a significant social component that influenc…
View article: Best Practices for 2-Body Pose Forecasting
Best Practices for 2-Body Pose Forecasting Open
The task of collaborative human pose forecasting stands for predicting the future poses of multiple interacting people, given those in previous frames. Predicting two people in interaction, instead of each separately, promises better perfo…
View article: Contracting Skeletal Kinematics for Human-Related Video Anomaly Detection
Contracting Skeletal Kinematics for Human-Related Video Anomaly Detection Open
Detecting the anomaly of human behavior is paramount to timely recognizing endangering situations, such as street fights or elderly falls. However, anomaly detection is complex since anomalous events are rare and because it is an open set …
View article: Contracting Skeletal Kinematic Embeddings for Anomaly Detection
Contracting Skeletal Kinematic Embeddings for Anomaly Detection Open
View article: Pose Forecasting in Industrial Human-Robot Collaboration
Pose Forecasting in Industrial Human-Robot Collaboration Open
Pushing back the frontiers of collaborative robots in industrial environments, we propose a new Separable-Sparse Graph Convolutional Network (SeS-GCN) for pose forecasting. For the first time, SeS-GCN bottlenecks the interaction of the spa…
View article: Mesoscale precipitation nowcasting from weather radar data using space-time-separable graph convolutional networks
Mesoscale precipitation nowcasting from weather radar data using space-time-separable graph convolutional networks Open
<p>Forecasting weather systems are capable to model atmospheric phenomena at various space-time scales. At very short space-time nowcasting techniques are still relying on measured data processing from ground-based microwave radars a…
View article: Pose Forecasting in Industrial Human-Robot Collaboration
Pose Forecasting in Industrial Human-Robot Collaboration Open
View article: Space-Time-Separable Graph Convolutional Network for Pose Forecasting
Space-Time-Separable Graph Convolutional Network for Pose Forecasting Open
Human pose forecasting is a complex structured-data sequence-modelling task, which has received increasing attention, also due to numerous potential applications. Research has mainly addressed the temporal dimension as time series and the …
View article: Space-Time-Separable Graph Convolutional Network for Pose Forecasting
Space-Time-Separable Graph Convolutional Network for Pose Forecasting Open
Human pose forecasting is a complex structured-data sequence-modelling task, which has received increasing attention, also due to numerous potential applications. Research has mainly addressed the temporal dimension as time series and the …