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CVC at ICCV 2019

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CVC will be present at this year’s International Conference on Computer Vision, which will be taking place in Seoul at the end of October. Quoting the ICCV2019 organisation, “ICCV is the premier international computer vision event comprising the main conference and several co-located workshops and tutorials.” This year, the Conference has received a total of 4303 submissions — a 100% increase over ICCV 2017.

 

The papers presented in this Conference are the following:

F. Codevilla, E. Santanta, A. M. López, A. Gaidon (2019): Exploring the Limitations of Behavior Cloning for Autonomous Driving

H.H. Aghdam, A. González-Garcia, J. Van de Weijer, M. Danelljan, F. S. Khan (2019): Active Learning for Deep Detection Neural Networks

L. Zhang, A. González-Garcia, J. Van de Weijer, M. Danelljan, F. S. Khan (2019): Learning the Model Update for Siamese Trackers 

D. Berga, X. R. Fdez-Vidal, X. Otazu, X.M. Pardo (2019): SID4VAM: A Benchmark Dataset With Synthetic Images for Visual Attention Modeling

A. F. Biten, R. Tito, A. Mafla, Ll. Gómez, M. Rusiñol, E. Valveny, C.V. Jawahar, D. Karatzas (2019): Scene Text Visual Question Answering 

 

Workshop papers:

7th Workshop on Computer Vision for Road Scene Understanding and Autonomous Driving – J. Z. Bengar, A. González-Garcia, G. Villalonga, B. Raducanu, H. H. Aghdam, M. Mozerov, A. M. López, J. Van de Weijer (2019): Temporal Coherence for Active Learning in Videos

7th Visual Object Tracking Challenge VOT2019 – L. Zhang, M. Danelljan, A. González-Garcia, J. Van de Weijer, F.S. Khan (2019):Multi-Modal Fusion for End-to-End RGB-T Tracking

Advances in Image Manipulation Workshop – M. Al Rawi, D. Bazazian, E. Valveny (2019): Can Generative Adversarial Networks Teach Themselves Text Segmentation?

4th International Workshop on Compact and Efficient Feature Representation and Learning in Computer Vision – M. Al Rawi, E. Valveny (2019): Compact and Efficient Multitask Learning in Vision, Language and Speech
Furthermore, Dr. Antonio López was organizer of the workshop “Transferring and Adapting Source Knowledge in Computer Vision and VisDA Challenge” (TASK-CV 2019)
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CVC Researchers at this year’s ICDAR 2019

Several CVC researchers attended the 15th International Conference on Document Analysis and Recognition (ICDAR 2019) that took place in the International Convention Centre in Sydney, Australia, from the 20 to 25th of September. ICDAR is the largest gathering on Document Analysis worldwide, in which CVC normally has an important presence.

The articles presented were the following:

Table Detection in Invoice Documents by Graph Neural Networks, by authors Pau Riba, Anjan Dutta, Lutz Goldmann, Alicia Fornés, Oriol Ramos and Josep Lladós.

Training-Free and Segmentation-Free Word Spotting using Feature Matching and Query Expansion, by authors Ekta Vats, Anders Hast and Alicia Fornés.

Can One Deep Learning Model Learn Script-Independent Multilingual WordSpotting?, by authors Mohammed Al-Rawi, Ernest Valveny and Dimosthenis Karatzas.

Recurrent Comparator with attention models to detect counterfeit documents, by authors Albert Berenguel Centeno, Oriol Ramos Terrades, Josep Lladós i Canet and Cristina Cañero Morales.

ICDAR 2019 RRC on Scene Text Visual Question Answering, by authors Ali Furkan Biten, Rubén Perez Tito, Andres Mafla, Lluis Gomez, Marçal Rusiñol, Minesh Mathew, C.V. Jawahar, Ernest Valveny and Dimosthenis Karatzas

Selective Style Transfer for Text, by authors Raul Gomez, Ali Biten, Dimosthenis Karatzas, Lluis Gomez, Jaume Gibert and Marçal Rusiñol

 

 

Have a look at our ICDAR 2019 Moment in Twitter: https://twitter.com/i/moments/1192061665992433665?s=13

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NeuroBiT team at ECVP 2019

CVC’s NeuroBit team presented a talk on colour induction and three posters on computational modelling of V1, visual saliency stimulus generation and symmetry detection at the 42nd edition of the European Conference on Visual Perception (ECVP 2019), which took place in Leuven, Belgium, from August 25th – 29th, 2019.

Our researchers presented the following:

Modelling symmetry perception with banks of quadrature convolutional Gabor kernels by authors Alejandro Párraga, Xavier Otazu and Arash Akbarinia.

A multilayer computational model of the parvocellular pathway in V1 by authors Xim Cerdà-Company, Xavier Otazu and Olivier Panacchio.

Generating Synthetic Images for Visual Attention Modeling, by authors David Berga, Xosé R. Fdez-Vidal, Xavier Otazu, Xosé M. Pardo and Victor Leborán.

Is color assimilation only due to a luminance-chromatic interaction? by authors Xavier Otazu and Xim Cerdà-Company.

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NeuroBiT team at the Iberian Conference on Perception 2019

CVC’s NeuroComputation and Biological Vision Team (NeuroBiT) gave three talks and presented one poster at the 8th Iberian Conference on Perception, which was held from the 20th to the 22nd of June in San Lorenzo de El Escorial, Madrid, Spain.

The conference is focused on Perception, emphasizing different aspects like: Motion Perception, Spatial Vision,Stereopsis, Colour Perception, Perception and Action, Attention and Cognition, Auditory Perception, Multisensory Integration and Reading/Speech Perception. Dr. Xavier Otazu was also the organizer of the conference’s symposium Computational Perception.

The papers presented in this Conference were the following:

Poster:

C. Alejandro Parraga, Xavier Otazu, Arash Akbarinia: Modelling symmetry perception with banks of quadrature convolutional Gabor kernels.

Talks:

D. Berga: Computational modeling of visual attention: What do we know from physiology and psychophysics?

D. Berga: Measuring bottom-up visual attention in eye tracking experimentation with synthetic images

Dr. X. Otazu: No chromatic-chromatic interaction in colour assimilation.

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Computer Vision Catalan Alliance at CVPR2019

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A total of 11 papers from Catalan universities and research centers have been accepted at this year’s Conference on Computer Vision and Pattern Recognition (CVPR), one of the most important conferences in the field of Computer Vision. This importante presence of researchers from Catalan Centers highlights the high standard and quality of research of Catalonia in Computer Vision making it an important hub in Southern Europe.  

Researchers from different Catalan universities have presented their latest results on Computer Vision at this year’s CVPR in Long Beach, California, during the month of June. A total of 11 papers and more than 7 research centers from the Catalan ecosystem in this discipline have had an opportunity to discuss their findings with a community of more than 9.000 colleagues from all around the world. An excellent opportunity to showcase their work in one of the best AI conferences worldwide which has seen an important increase in attendance in recent years.

The Catalan research institutions present this year at CVPR were the Computer Vision Center, the Polytechnic University of Catalonia (UPC), the Barcelona Supercomputing Center (BSC-CNS), the Pompeu Fabra University (UPF), the Open University of Catalonia (UOC), the University of Barcelona (UB)  and the Autonomous University of Barcelona (UAB).

At a glance, the papers from Catalan institutions presented at this year’s CVPR are the following (catalan based researchers in bold):

A Dataset and Benchmark for Large-scale Multi-modal Face Anti-Spoofing, by authors Shifeng Zhang (LPR, CASIA, UCAS), Xiaobo Wang (JD AI Research), Ajian Liu (MUST), Chenxu Zhao (JD AI Research), Jun Wan (NLPR, CASIA, UCAS), Sergio Escalera (UB/CVC), Hailin Shi (JD AI Research), Zezheng Wang (JD Finance), Stan Z. Li (NLPR, CASIA, UCAS/MUST)

Convolutional Neural Networks Deceived by Visual Illusions, by authors Alexander Gomez-Villa (UPF), Adrián Martín (UPF), Javier Vazquez-Corral (UEA), Marcelo Bertalmío (UPF)

Deep single Image Camera Calibration with Radical Distortion, by authors Manuel López-Antequera (Mapillary), Roger Marí (CMLA), Pau Gargallo (Mapillary), Yubin Kuang (Mapillary), Javier Gonzalez-Jimenez (Universidad de Málaga), Gloria Haro (UPF)

Doodle to Search: Practical Zero-Shot Sketch-based Image Retrieval, by authors Sounak Dey (CVC), Pau Riba (CVC), Anjan Dutta (CVC), Josep Llados (CVC/UAB), Yi-Zhe Song (University of Surrey)

Good News, Everyone! Context driven entity-aware captioning for news images, by authors Ali Furkan Biten (CVC), Lluis Gomez (CVC), Marçal Rusiñol (CVC), Dimosthenis Karatzas (CVC/UAB).

Inverse Cooking: Recipe Generation from Food Images, by authors Amaia Salvador (UPC), Michal Drozdzal (Facebook AI Research), Xavier Giro-i-Nieto (UPC), Adriana Romero (Facebook AI Research)

Learning Metrics from Teachers: Compact Networks for Image Embedding, by authors Lu Yu (CVC), Vacit Oguz Yazici (CVC/Wide-Eyes Technologies), Xialei Liu (CVC), Joost van de Weijer (CVC), Yongmei Cheng (NPU), Arnau Ramisa (Wide-Eyes Technologies)

LSTA: Long Short-Term Attention for Egocentric Action Recognition, by authors Swathikiran Sudhakaran (Fondazione Bruno Kessler/University of Trento), Sergio Escalera (UB/CVC), Oswald Lanz (Fondazione Bruno Kessler).

RVOS: End-to-End Recurrent Net for Video Object Segmentation, by authors Carles Ventura (UOC), Miriam Bellver (BSC), Andreu Girbau (UPC), Amaia Salvador (UPC), Ferran Marques (UPC), Xavier Giro-i-Nieto (UPC).

Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval by authors Anjan Dutta (CVC), Zeynep Akata (University of Amsterdam)

What Does It Mean to Learn in Deep Networks? And, How Does One Detect Adversarial Attacks?, by authors Ciprian A. Corneanu (UB), Meysam Madadi (CVC/UB), Sergio Escalera (CVC/UB), Aleix M. Martinez (OSU).

 

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