News

Dr. Antonio López and Meritxell Bassolas at Vallès Visió

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Dr. Antonio López and Meritxell Bassolas, CVC Knowledge and Technology Manager, were interviewed at Àmbit B30 (Vallès Visió) to talk about Autonomous Driving. In the program, CVC technologies on this field such as Elektra, Synthia and Carla are explained. You can watch the video here (in Catalan): http://www.vallesvisio.cat/ambit-b30-15-10-2018/

3 CVC Papers accepted at this year’s NeurIPS

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CVC researchers have three accepted papers at this year’s Neural Information Processing Systems (NIPS) Conference which will be taking place in Montreal from the 2nd to the 8th of December 2018. Papers are the following: ‘Memory Replay GANs: learning to generate images from new categories without forgetting‘, by authors Chenshen Wu, Luis Herranz, Xialei Liu, Yaxing Wang, Dr. Joost … Read more

ACMCV 2018

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CVC celebrated this year’s Annual Catalan Meeting on Computer Vision (ACMCV2018) that took place on the 20th of September. This event is annually organized by the Master in Computer Vision coordinators of the Catalan universities UAB, UOC, UPC and UPF. The aims of this meeting are to strengthen the Catalan academic and industrial computer vision network, to disseminate the most relevant works and to allow students from the Master in Computer Vision meet with members of the Catalan CV community.

This year’s edition counted, as always, with the presentation of the final master thesis from the Master in Computer Vision, a poster session and two keynote lectures carried out by Guillem Alenyà, from the Institute of Robotics and Industrial Informatics (IRI), who talked about the project CLOTHILDE and Marco Pedersoli from the Superior Technology School of Montreal (ETS Montreal), whose talk was about the evolution of his research during the last ten years.

The program and more details about the event can all be found at its website: http://acmcv.cat/

 

 

CVC researchers at this year’s ECCV2018

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Several CVC researchers attended this year’s European Conference on Computer Vision (ECCV) that took place in Munich, Germany, from the 8 to 14th of September. CVC presented 6 papers in total to the main conference, and several other papers at the Conference’s Workshops:

Dr. Lluís Gómez, Dr. Marçal Rusiñol and Andrés Mafla presented their paper ‘Single Shot Scene Text Retrieval‘, Yaxing Wang presented his ‘Transferring GANs: generating images from limited data‘, Pau Rodriguez presented ‘Attend and Rectify: a Gated Attention Mechanism for Fine-Grained Recovery‘ and Dr. Sergio Escalera presented two papers: ‘Folded Recurrent Neural Networks for Future Video Prediction‘ and ‘Deep Structure Inference Network for Facial Action Unit Recognition‘ along with Dr. Meysam Madadi. Dr. Antonio López and Felipe Codevilla presented their paper ‘On Offline Evaluation of Vision-based Driving Models‘

In other hand, Raúl Gómez presented a poster and an oral presentation of his work ‘Learning to Learn from Web Data‘ at the ECCV 1st Multimodal Learning and Applications Workshop, Dr. Antonio López presented a demo of the CARLA simulator and Dena Bazazian was one of the selected Phd students to organise the Women in Computer Vision ECCV 2018 Workshop, and also presented a poster at the Epic Workshop her poster ‘Soft-PHOC Descriptor for End-to-End Word Spotting in Egocentric Scene Images‘ .

Have a look at our ECCV2018 Twitter Moment.

Related articles: 

6 CVC Papers Accepted At This Year’s ECCV

Dena Bazazian, Organiser Of The Women In Computer Vision ECCV 2018 Workshop

 

Dr. Fernando Vilariño elected as the new ENOLL President

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Associate CVC Director and UAB Professor has been elected as the new Chairman of the European Network of Living Labs (ENOLL) at the Network’s annual Conference in Geneva.   Dr. Vilariño takes on the lead of a European Network that is working towards inclusive, responsible and Open Science and Innovation. With more than 150 active … Read more

CVC researchers at this year’s ICPR2018

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Several CVC researchers attended this year’s International Conference on Pattern Recognition in Beijing during August. CVC presented 5 papers in total: two oral presentations and three posters.

Xialei Liu presented an oral presentation of his paper ‘Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting‘; Pau Riba presented an oral presentation of his paper ‘Learning Graph Distances with Message Passing Neural Networks‘, wining the Best student Scientific Paper Award of Track 5 on Document Analysis and Recognition. 

On the other hand, Lu Yu presented her poster ‘Weakly Supervised Domain-Specific Color Naming Based on Attention‘, Gemma Rotger presented hers: ‘2D-to-3D Facial Expression Transfer‘, and Sounak Dey presented ‘Learning Cross-Modal Deep Embeddings for Multi-Object Image Retrieval using Text and Sketch‘. 

 

 

Pau Riba: ICPR2018 Best Scientific Paper Award

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CVC PhD Student Pau Riba has won the ICPR2018 Best student Scientific Paper Award of Track 5 on Document Analysis and Recognition for his paper ‘Learning Graph Distances with Message Passing Neural Networks‘at this year’s International Conference on Pattern Recognition (ICPR) which took place this past week in Beijing. Pau Riba presented his paper as … Read more

AERFAI Summer Lectures & Colloquium on Deep Learning for Computer Vision

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CVC has organised this year’s AERFAI Summer School that took place at UAB’s Casa Convalescència on the 17th and 18th of July. We had keynote lectures by Prof. Antonio Torralba (MIT – IBM), Prof. Joan Bruna (NY University), Dr. Eduard Vázquez (Cortexica), Dr. Marco Bressan (Satellogic) and Prof. Antonio M. López from UAB and C VC. The program and Summer School details can all be found at the event’s website: http://www.cvc.uab.es/aerfai/

Plenty of CVC members attended, with a number of colloquiums debating on Deep Learning and its use in Computer Vision. Dr. Dimosthenis Karatzas, from CVC, moderated an intense debate in which speakers were asked to reflect on the future of Computer Vision and the role of Deep Learning within this new paradigm.

Find the event’s Twitter moment here: https://twitter.com/i/moments/1019536110995861504

Monitoring Alzheimer Disease with Deep Learning and Computer Vision

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A team of CVC and INRIA researchers along with clinicians have developed a neural network model able to identify and monitor the evolution of Alzheimer disease in patients, by interpreting the results of a test known as PRAXIS with the use of Computer Vision and Deep Learning. Most of the world’s developed societies are experiencing … Read more