1 citations · 2 across the 3 of their papers we have counts for
7 papers
Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction
Luigi Filippo Chiara, Pasquale Coscia, Sourav Das +3
Human trajectory forecasting is a key component of autonomous vehicles, social-aware robots and advanced video-surveillance applications. This challenging task typically requires k…
How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting
Alessio Monti, Angelo Porrello, Simone Calderara +3
Accurate prediction of future human positions is an essential task for modern video-surveillance systems. Current state-of-the-art models usually rely on a "history" of past tracke…
SlowFast Rolling-Unrolling LSTMs for Action Anticipation in Egocentric Videos
Nada Osman, Guglielmo Camporese, Pasquale Coscia +1
Action anticipation in egocentric videos is a difficult task due to the inherently multi-modal nature of human actions. Additionally, some actions happen faster or slower than othe…
Knowledge Distillation for Action Anticipation via Label Smoothing
Guglielmo Camporese, Pasquale Coscia, Antonino Furnari +2
Human capability to anticipate near future from visual observations and non-verbal cues is essential for developing intelligent systems that need to interact with people. Several r…
A CNN-RNN Framework for Image Annotation from Visual Cues and Social Network Metadata
Tobia Tesan, Pasquale Coscia, Lamberto Ballan
Images represent a commonly used form of visual communication among people. Nevertheless, image classification may be a challenging task when dealing with unclear or non-common ima…
Social and Scene-Aware Trajectory Prediction in Crowded Spaces
Matteo Lisotto, Pasquale Coscia, Lamberto Ballan
Mimicking human ability to forecast future positions or interpret complex interactions in urban scenarios, such as streets, shopping malls or squares, is essential to develop socia…