16 citations · 29 across the 8 of their papers we have counts for
10 papers · 1 filter
Under the Hood of Transformer Networks for Trajectory Forecasting
Luca Franco, Leonardo Placidi, Francesco Giuliari +3
Transformer Networks have established themselves as the de-facto state-of-the-art for trajectory forecasting but there is currently no systematic study on their capability to model…
Pedestrian Detection: Domain Generalization, CNNs, Transformers and Beyond
Irtiza Hasan, Shengcai Liao, Jinpeng Li +2
Pedestrian detection is the cornerstone of many vision based applications, starting from object tracking to video surveillance and more recently, autonomous driving. With the rapid…
An integrated light management system with real-time light measurement and human perception
Theodore Tsesmelis, Irtiza Hasan, Marco Cristani +2
Illumination is important for well-being, productivity and safety across several environments, including offices, retail shops and industrial warehouses. Current techniques for set…
Generalizable Pedestrian Detection: The Elephant In The Room
Irtiza Hasan, Shengcai Liao, Jinpeng Li +2
Pedestrian detection is used in many vision based applications ranging from video surveillance to autonomous driving. Despite achieving high performance, it is still largely unknow…
Transformer Networks for Trajectory Forecasting
Francesco Giuliari, Irtiza Hasan, Marco Cristani +1
Most recent successes on forecasting the people motion are based on LSTM models and all most recent progress has been achieved by modelling the social interaction among people and…
Center and Scale Prediction: Anchor-free Approach for Pedestrian and Face Detection
Wei Liu, Irtiza Hasan, Shengcai Liao
Object detection generally requires sliding-window classifiers in tradition or anchor box based predictions in modern deep learning approaches. However, either of these approaches…
Human-centric light sensing and estimation from RGBD images: The invisible light switch
Theodore Tsesmelis, Irtiza Hasan, Marco Cristani +2
Lighting design in indoor environments is of primary importance for at least two reasons: 1) people should perceive an adequate light; 2) an effective lighting design means consist…
Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets
Irtiza Hasan, Francesco Setti, Theodore Tsesmelis +5
In this work, we explore the correlation between people trajectories and their head orientations. We argue that people trajectory and head pose forecasting can be modelled as a joi…
RGBD2lux: Dense light intensity estimation with an RGBD sensor
Theodore Tsesmelis, Irtiza Hasan, Marco Cristani +2
Lighting design and modelling or industrial applications like luminaire planning and commissioning rely heavily on time consuming manual measurements or on physically coherent comp…
MX-LSTM: mixing tracklets and vislets to jointly forecast trajectories and head poses
Irtiza Hasan, Francesco Setti, Theodore Tsesmelis +3
Recent approaches on trajectory forecasting use tracklets to predict the future positions of pedestrians exploiting Long Short Term Memory (LSTM) architectures. This paper shows th…