Schedule overview

Schedule overview

  • 8 AM                         
  • 9 AM                         
  • 9:35 AM                         
  • 10:15 AM                         
  • 10:45 AM                         
  • 11:20 AM                         
  • 12 PM                         
  • 1:30 PM                         
  • 2:30 PM                         
  • 4 PM                         
  • 4:30 PM                         
  • 7 PM                         

Wednesday, Nov. 21

  • Registration
  • Prof. Yoshihiko Nakamura:
    Mocap as a Service: Video Motion Capture Makes Human Motion Analysis for Everyone
  • Dr. Marco Schorlemmer:
    The Role of Interaction and Embodied Cognition in Computational Ontology
  • Break
  • Dr. Silvia Chiappa:
    Fairness in Machine Learning: A Causal Viewpoint.
  • Dr. Juan Gomez-Romero:
    Data Science for Efficient Building Energy Management
  • Lunch
  • Posters session
        & Sponsors exhibition
  • Oral sessions
        
  • Break
  • Oral sessions
        
  • Cultural Activity

Thursday, Nov. 22

  • Registration
  • Prof. Umberto Straccia:
    Fuzzy & Annotated Semantic Web Languages
  • Dr. Lluis Marquez:
    Automatic Question Answering: Problem Solved?
  • Break
  • Dr. Jean Fred Fontaine:
    Importance of field-specific knowledge in machine learning applications in biology
  • Prof. Petia Radeva:
    Uncertainty-aware Food Analysis by Deep Learning
  • Lunch
  • Posters session
        & Sponsors exhibition
  • Oral sessions
        
  • Break
  • Oral sessions
        
  • Afterwork

Friday, Nov. 23

  • Registration
  • Prof. Patrick Doherty:
    Intelligent Collaborative Systems and their Application to Emergency Rescue Scenarios
  • Dr. Fernando Alonso-Fernandez:
    Human Authentication Using Facial Cues
  • Break
  • Enric Delgado Samper:
    From Research to Scalable AI Solutions, 2 examples: Trust & Fairness and CNN Automatic Generation
  • Prof. Daniele Ielmini:
    Neuromorphic computing with emerging memory devices
  • Lunch
  • Posters session
        & Sponsors exhibition
  • Oral sessions
        
  • Break
  • Oral sessions
        

The Plenary speeches will be held in the auditorium, all other activities are suspended during those sessions in order to enable all participants to attend. There will be several oral sessions and workshops in parallel during the afternoon on different topics. Those sessions will be held in smaller rooms and the participants can select the ones they want to attend depending on their topics of interest.

The detailed schedule will be published 2 weeks before the Conference.

CONFERENCE AWARDS

The journal Robotics (MDPI) is pleased to offer a prize to the best oral presentation of A2IC 2018. The Prize includes:

  A certificate

  A € 500 cash prize

The award for the best oral presentation of A2IC 2018 goes to Mr. Charles Peterson, New York University for “Dynamic Ethical Settings: Teaching Moral Compromise in Multi-Agent Human-Machine Decisions”. Congratulations!

Springer Publishing

Springer is pleased to offer a prize to the best poster of A2IC 2018. The Prize includes:

  A certificate

  A € 250 Springer voucher

The award for the best poster presentation of A2IC 2018 goes to Ilya Kamenshchikov, Hochschule Rhein Waal for “Effects of Dataset composition on the training of Generative Adversarial Networks”. Congratulations!

 

SPECIAL SESSIONS

Deep Learning meets Computer Vision

Chair: Prof. Petia Radeva

Computer Vision is an important part of Artificial Intelligence that claims to develop algorithms capable to see, perceive and understand the real world from images and videos. This discipline dates no more than 50 years and allowed many researchers to develop technically sound methods. But until soon its application to the real world were limited to well-controlled situations e.g. manufacture for industrial piece inspection. Last decade, Deep Learning is revolutionizing Computer Vision. Deep Learning is a powerful set of techniques to train Neural Networks composed by a high number of layers and parameters. It made Computer Vision to outperform most of alternative “traditional” techniques addressing complex image analysis problems: object recognition, image segmentation, face and gesture recognition, etc.  Such a big has been the improvement observed by these methods in last years, that Deep Learning has become the solutions to many industrial and social, real-life problems. Current developments achieved inconceivable results. Applications such as object recognition, lip reading, high-end surveillance, facial recognition, object-based searches, license plate readers, traffic violations detection, breast tomosynthesis diagnosis, product sorting automation, quality assurance and product safety through infrared thermography are only a few applications where CV systems beat human performance.  In this session, we invited well-known researchers in Computer Vision and Deep Learning that will cover different real applications of Deep Learning and Computer Vision: multimedia retrieval, physical activities recognition and application to medical image analysis.

 

Invited talks will be given by:

  1. Dimosthenis Karatzas, Vice-Director of Computer Vision Center, Associate professor at the Universitat Autonoma de Barcelona.
  2. Xavier Giró-i-Nieto, associate professor at the Universitat Politecnica de Catalunya (UPC), visiting researcher at Barcelona Supercomputing Center (BSC).
  3. Karim Lekadir, Ramon y Cajal Senior Researcher at Universitat Pompeu Fabra, Barcelona, SIMBIOSYSresearch group
  4. Petia Radeva, Head of Computer Vision at the University of Barcelona group, Senior Researcher at Computer Vision Center (CVC)