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Contigiani, Marco
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1

Shoppers Detection Analysis in an Intelligent Retail Enviro..:

, In: Pattern Recognition. ICPR International Workshops and Challenges; Lecture Notes in Computer Science,
Della Sciucca, Laura ; Manco, Davide ; Contigiani, Marco... - p. 534-546 , 2021
Link: https://doi.org/10.1007/..
 
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2

The Vending Shopper Science Lab: Deep Learning for Consumer..:

, In: New Trends in Image Analysis and Processing – ICIAP 2019; Lecture Notes in Computer Science,
Allegrino, Fioravante ; Gabellini, Patrizia ; Di Bello, Luigi.. - p. 307-317 , 2019
Link: https://doi.org/10.1007/..
 
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3

Robust and affordable retail customer profiling by vision a..:

Sturari, Mirco ; Liciotti, Daniele ; Pierdicca, Roberto...
Pattern Recognition Letters.  81 (2016)  - p. 30-40 , 2016
Link: https://doi.org/10.1016/..
 
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4

Design and test of a real-time shelf out-of-stock detector ..:

Frontoni, Emanuele ; Mancini, Adriano ; Zingaretti, Primo...
Microsystem Technologies.  24 (2016)  3 - p. 1369-1377 , 2016
Link: https://doi.org/10.1007/..
 
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5

Use of an energy harvesting smart floor for indoor localiza..:

Contigiani, Marco ; Frontoni, Emanuele ; Mancini, Adriano...
volume:9.  , 2018
Link: http://hdl.handle.net/11..
 
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6

Machine vision and IoT applications in intelligent retail e..:

CONTIGIANI, MARCO
http://hdl.handle.net/11566/245516.  , 2017
Link: http://hdl.handle.net/11..
 
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7

Shopper Analytics: a customer activity recognition system u..:

Liciotti, Daniele ; Contigiani, Marco ; Frontoni, Emanuele...
http://arxiv.org/abs/1508.06853.  , 2015
Link: http://arxiv.org/abs/150..
 
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8

Geographic isolation, trade secrecy, and innovation:

Contigiani, Andrea ; Testoni, Marco
Research Policy.  52 (2023)  8 - p. 104825 , 2023
Link: https://doi.org/10.1016/..
 
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