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09/06/2023
A deep Natural Language Inference predictor without language-specific training data
In this paper we present a technique of NLP to tackle the problem of inf...
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08/01/2023
Markerless human pose estimation for biomedical applications: a survey
Markerless Human Pose Estimation (HPE) proved its potential to support d...
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09/23/2022
I-SPLIT: Deep Network Interpretability for Split Computing
This work makes a substantial step in the field of split computing, i.e....
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07/24/2022
Pose Forecasting in Industrial Human-Robot Collaboration
Pushing back the frontiers of collaborative robots in industrial environ...
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04/07/2021
The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods
For an autonomous robotic system, monitoring surgeon actions and assisti...
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09/17/2020
POMP: Pomcp-based Online Motion Planning for active visual search in indoor environments
In this paper we focus on the problem of learning an optimal policy for ...
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06/12/2020
ESAD: Endoscopic Surgeon Action Detection Dataset
In this work, we take aim towards increasing the effectiveness of surgic...
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01/07/2019
Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets
In this work, we explore the correlation between people trajectories and...
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05/02/2018
MX-LSTM: mixing tracklets and vislets to jointly forecast trajectories and head poses
Recent approaches on trajectory forecasting use tracklets to predict the...
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10/02/2017
Indirect Match Highlights Detection with Deep Convolutional Neural Networks
Highlights in a sport video are usually referred as actions that stimula...
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09/09/2014