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09/21/2023
A Machine Learning-oriented Survey on Tiny Machine Learning
The emergence of Tiny Machine Learning (TinyML) has positively revolutio...
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08/17/2023
Language-enhanced RNR-Map: Querying Renderable Neural Radiance Field maps with natural language
We present Le-RNR-Map, a Language-enhanced Renderable Neural Radiance ma...
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07/13/2023
Neuro-symbolic Empowered Denoising Diffusion Probabilistic Models for Real-time Anomaly Detection in Industry 4.0
Industry 4.0 involves the integration of digital technologies, such as I...
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04/12/2023
OO-dMVMT: A Deep Multi-view Multi-task Classification Framework for Real-time 3D Hand Gesture Classification and Segmentation
Continuous mid-air hand gesture recognition based on captured hand pose ...
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03/22/2023
Split-Et-Impera: A Framework for the Design of Distributed Deep Learning Applications
Many recent pattern recognition applications rely on complex distributed...
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03/22/2023
HermesBDD: A Multi-Core and Multi-Platform Binary Decision Diagram Package
BDDs are representations of a Boolean expression in the form of a direct...
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11/23/2022
A Masked Face Classification Benchmark
We propose a novel image dataset focused on tiny faces wearing face mask...
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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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09/23/2022
Toward Smart Doors: A Position Paper
Conventional automatic doors cannot distinguish between people wishing t...
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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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07/14/2022
SHREC 2022 Track on Online Detection of Heterogeneous Gestures
This paper presents the outcomes of a contest organized to evaluate meth...
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03/22/2022
Under the Hood of Transformer Networks for Trajectory Forecasting
Transformer Networks have established themselves as the de-facto state-o...
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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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06/15/2020
Infinite Feature Selection: A Graph-based Feature Filtering Approach
We propose a filtering feature selection framework that considers subset...
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04/17/2020
An integrated light management system with real-time light measurement and human perception
Illumination is important for well-being, productivity and safety across...
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03/18/2020
Transformer Networks for Trajectory Forecasting
Most recent successes on forecasting the people motion are based on LSTM...
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08/29/2019
Texel-Att: Representing and Classifying Element-based Textures by Attributes
Element-based textures are a kind of texture formed by nameable elements...
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08/29/2019
Texture Retrieval in the Wild through detection-based attributes
Capturing the essence of a textile image in a robust way is important to...
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04/15/2019
SIMCO: SIMilarity-based object COunting
We present SIMCO, the first agnostic multi-class object counting approac...
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01/30/2019
Human-centric light sensing and estimation from RGBD images: The invisible light switch
Lighting design in indoor environments is of primary importance for at l...
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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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09/20/2018
RGBD2lux: Dense light intensity estimation with an RGBD sensor
Lighting design and modelling luminaires in a virtual or real scene) or...
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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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01/27/2018
Understanding Deep Architectures by Interpretable Visual Summaries
A consistent body of research investigates the recurrent visual patterns...
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08/03/2017
What your Facebook Profile Picture Reveals about your Personality
People spend considerable effort managing the impressions they give othe...
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04/07/2017
Clothing and People - A Social Signal Processing Perspective
In our society and century, clothing is not anymore used only as a means...
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01/11/2017
Looking Beyond Appearances: Synthetic Training Data for Deep CNNs in Re-identification
Re-identification is generally carried out by encoding the appearance of...
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09/27/2014
Audio Surveillance: a Systematic Review
Despite surveillance systems are becoming increasingly ubiquitous in our...
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09/09/2014
F-formation Detection: Individuating Free-standing Conversational Groups in Images
Detection of groups of interacting people is a very interesting and usef...
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05/12/2011