5 citations · 10 across the 10 of their papers we have counts for
16 papers
TAMFormer: Multi-Modal Transformer with Learned Attention Mask for Early Intent Prediction
Nada Osman, Guglielmo Camporese, Lamberto Ballan
Human intention prediction is a growing area of research where an activity in a video has to be anticipated by a vision-based system. To this end, the model creates a representatio…
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…
Online Learning of Reusable Abstract Models for Object Goal Navigation
Tommaso Campari, Leonardo Lamanna, Paolo Traverso +2
In this paper, we present a novel approach to incrementally learn an Abstract Model of an unknown environment, and show how an agent can reuse the learned model for tackling the Ob…
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…
Prediction of Tuberculosis using U-Net and segmentation techniques
Dennis Núñez-Fernández, Lamberto Ballan, Gabriel Jiménez-Avalos +3
One of the most serious public health problems in Peru and worldwide is Tuberculosis (TB), which is produced by a bacterium known as Mycobacterium tuberculosis. The purpose of this…