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

catedral

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.