Timetable

DAY	12-July	13-July
	Thursday	Friday
9.30-10.00	AMDO Registration Open. Documentation. (9:30) AMDO Start General Co-Chairs, DMI Department Director, UIB Vice-Chancellor (9:45)	Registration & Doc AMDO Conference
10.00-11.00	Invited Speaker. Prof. Nicu. Sebe (Univ. of Trento, Italy) Title talk: Deep Learning for Analysis and Generation of Facial Attributes. Chair: J. Kittler	Invited Speaker. Prof. Jordi González (CVC-UAB, Spain) Title talk: Going beyond Deep Learning for Understanding Human Behaviours in Image Sequences. Chair: Ricardo Chavarriaga
11.00-11.30	Coffee Break	Coffee Break
11.30-12.30	S1: Facial Analysis & VPO App Session Papers: 9, 8 Chair: F. J. Perales	S4: Human Analysis & Recognition Session Papers: 5, 23 Chair: Ramon Mas
12.30-13.30	S2: Deep Learning Applications Session Papers: 10, 18 Chair: F. J. Perales	S5: VPO & VR Applications Papers: 11, 17 Chair: Ramon Mas
13.30-15.00	Lunch (Celler Sa Premsa)	Lunch (Celler Sa Premsa)
15.00-16.00	Invited Speaker: Prof. Jose Luis Lisani Title talk: Color Preprocessing and its Effect on Learning Chair: Nicu Sebe	Invited Speaker: Prof. Ricardo Chavarriaga (EPFL STI IBI-STI CNBI Switzerland) Title talk: Symbiotic interaction through brain-machine interfacing, machine learning and VR. Chair: Fabian Di Fiore
16.00-17.00	S3: Segmentation & DL Session Papers: 20, 21 Chair: Nicu Sebe	AMDO Awards Session AMDO Closure: General Co-Chairs and UIB
19:00	Cathedral Visit (Terraces) and Cocktail (19:00) Conference Dinner (21:30)Restaurante Pesquero http://www.restaurantpesquero.com/	Tapas Night Session (Not included in registration fee)

PaperID	Authors, Title	Session
21	Damian Valdés-Santiago, Raúl Quintana-Martínez, Ángela León-Mecías and Marta Lourdes Baguer Díaz-Romañach. Mammographic mass segmentation using Fuzzy C-means and decision trees	S3
5	Niall McLaughlin and Jesus Martinez Del Rincon. Refining the Pose: Training and use of Deep Recurrent Autoencoders for Improving Human Pose Estimations	S4
10	Unai Elordi, Luis Unzueta, Oihana Otaegui and Ignacio Arganda-Carreras. How Can Deep Neural Networks Be Generated Efficiently for Devices with Limited Resources?	S2
12	Víctor Martínez-Cagigal, Eduardo Santamaría-Vázquez and Roberto Hornero. Controlling a Smartphone with Brain-Computer Interfaces: A Preliminary Study	Poster
17	Jeroen Put, Nick Michiels, Fabian Di Fiore and Frank Van Reeth. Capturing Industrial Machinery into Virtual Reality	S5
20	Marc Górriz, Albert Aparicio, Berta Raventós, Daniel López-Codina, Verónica Vilaplana and Elisa Sayrol. Leishmaniasis Parasite Segmentation and Classification using Deep Learning	S3
23	Zengxi Huang, Zhen-Hua Feng, Fei Yan, Josef Kittler and Xiao-Jun Wu. Robust Pedestrian Detection for Semi-automatic Construction of A Crowded Person Re-Identification Dataset	S4
9	Nicolas Livet and George Berkowski. Shape and Appearance based Sequenced Convnets to Detect Real-Time Face Attributes on Mobile Devices	S1
26	Kamyar Nazeri, Eric Ng and Mehran Ebrahimi. Image Colorization using Generative Adversarial Networks	Poster
11	Nerea Aranjuelo, Luis Unzueta, Ignacio Arganda-Carreras and Oihana Otaegui. Multimodal Deep Learning for Advanced Driving Systems	S5
8	Octavio Salcedo Parra. Optical recognition of numerical characters in digital images of glucometers	S1
18	Jiri Kysela. A Comparison of Text String Similarity Algorithms for POI Name Harmonisation	S2

Poster Session: All days in coffee-break area. Papers: 12, 26, and UIB Works.