activity
20162022
most citedAC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction

38 citations · 42 across the 6 of their papers we have counts for

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8 papers · 1 filter

cs.CV2022★ 1 cited

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…

cs.CV2022★ 1 cited

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…

cs.CV2021

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…

cs.CV2020★ 38 cited

AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction

Alessia Bertugli, Simone Calderara, Pasquale Coscia +2

Anticipating human motion in crowded scenarios is essential for developing intelligent transportation systems, social-aware robots and advanced video surveillance applications. A k…

cs.CV2020

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…

cs.CV2019★ 2 cited

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…

cs.CV2019

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…

cs.CV2016

3-D Hand Pose Estimation from Kinect's Point Cloud Using Appearance Matching

Pasquale Coscia, Francesco A. N. Palmieri, Francesco Castaldo +1

We present a novel appearance-based approach for pose estimation of a human hand using the point clouds provided by the low-cost Microsoft Kinect sensor. Both the free-hand case, i…