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The CVC at the Artificial Intelligence & Big Data Congress 2021

AIBDC21 Notiweb

The AI & Big Data Congress, after its cancellation in 2020 due to the COVID-19 pandemic, is back in Barcelona in 2021. The 14th and 15th of September will be held in AXA Auditorium Barcelona the 7th edition of this leading conference on AI & Big Data in the business sector, organized by CIDAI, Centre of Innovation for Data Tech and Artificial Intelligence. The first day will deliver live plus streaming sessions.  Second day sessions will be fully online.

The conference will present trends and best practices of pioneering research centers and companies, new technological developments and their application and success stories explained in detail in the field of the IA and the Big Data. Therefore, the CVC will play a key role in this meeting, presenting some of its most relevants results of its research projects. We detail the CVC participation hereafter:

September 14th

Dr. Petia Radeva, “Can Deep Learning help to individuals to eat healthier?“. Onsite (Auditorium) and streaming

September 15th (only streaming)

Dr. Ernest Valveny, “Multimodal deep learning technologies to unlock document intelligence

Dr. Antonio López, “The Deep Learning Era: Data is the Driver in Autonomous Driving

Hosted by Dr. Carlos Sierra

 

All the CVC researchers interested in attending can make her/his registration here

This congress, except the keynote talks, will be held in Spanish

 

 

 

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Large participation of CVC researchers in ICDAR2021 Conference

ICDAR 2021

The 16th International Conference on Document Analysis and Recognition, (ICDAR 2021), will be held at Lausanne (Switzerland) with a hybrid format (onsite and online) from 5th  to 10th  September.

This year’s utter programme is composed of top-notch oral sessions, workshops and competitions, among others, in which a large number of CVC researchers are participating. It is worth noting that the main conference will take place from 8th to 10th September.  We detail CVC participation hereafter:

Organization committee:

  • Josep Lladós, Program Committee Chair
  • Alicia Fornés, Tutorials Chair

Oral Sessions:

Workshop’s papers:

  • GREC (Session 1: Handwritten Graphics. Sunday, September 5th, 11:20-11:30h)

Albert Suso, Pau Riba, Oriol Ramos and Josep Lladós. “A Self-Supervised Inverse Graphics Approach for Sketch Parametrization”

  • GREC (Session 3: Handwritten Text and Annotations. Sunday, September 5th, 16:10-16:20h)

Pau Torras, Mohamed Ali Souibgui, Jialuo Chen and Alicia Fornés. “A Transcription Is All You Need: Learning to Align through Attention”

  • GLESDO (Sunday, September 5th, 16:35-16:55h)

Sanket Biswas, Pau Riba, Josep Lladós and Umapada Pal. “Graph-based Deep Generative Modelling for Document Layout Generation

Competition:

  • Rubèn Tito, Minesh Mathew, C.V. Jawahar, Ernest Valveny and Dimosthenis Karatzas, “ICDAR 2021 Competition on Document Visual Question Answering”

Posters:

  • Session 1 (Thursday, September 9th, 8:30-10h). Track: NLP for document understanding

Rubèn Pérez Tito, Dimosthenis Karatzas, and Ernest Valveny. “Document Collection Visual Question Answering

  • Session 1 (Thursday, September 9th, 8:30-10h). Track: Document analysis for social good

Adrià Molina, Pau Riba, Lluis Gomez, Oriol Ramos-Terrades, and Josep Lladós. “Date Estimation in the Wild of Scanned Historical Photos: An Image Retrieval Approach”

  • Session 1 (Thursday, September 9th, 8:30-10h). Track: Indexing and retrieval of documents

Pau Riba, Adrià Molina Rodríguez, Lluis Gomez, Oriol Ramos-Terrades, and Josep Lladós. “Learning to Rank Words: Optimizing Ranking Metrics for Word Spotting”

  • Session 2 (Thursday, September 9th, 10:30-12h). Track: Document synthesis

Sanket Biswas, Pau Riba, Josep Lladós, and Umapada Pal. “DocSynth: A Layout Guided Approach for Controllable Document Image Synthesis”

Workshops (pre-conference September 5th -7th):

Sunday, September 5th CVC researcher Pau Riba will be the chair of the Keynote talk and session 1, and Alicia Fornes will be the chair of the General Discussion 2. In addition, two CVC papers will be presented in session 1, Handwritten Graphics and session 3, Handwritten Text and Annotations.

Sunday, September 5th (Half-Day)

CVC paper “Graph-based Deep Generative Modelling for Document Layout Generation” by Sanket Biswas, Pau Riba, Josep Lladós and Umapada Pal, will be presented at 16.35h.

Monday, September 6th (Half-Day)

CVC researchers Ruben Perez and Dimosthenis Karatzas participate as co-organizers.

Tuesday, September 7th

CVC researchers Alicia Fornés and Dimosthenis Karatzas participate as co-organizers.

 

In addition, several CVC researchers are taking part in the Doctoral Consortium, a satelite event to the ICDAR main conference, (Tuesday, September 7th, 14:00 – 17:30h) as mentors; Josep Lladós, Dimosthenis Karatzas and Oriol Ramos Terrades, and others as PhD participants; Sanket Biswas and Rubèn Pérez Tito.

Finally, it should be noted the participation of the CVC director Josep Lladós in the Editorial of this IJDAR special issue paper: “Advanced Topics in Document Analysis and Recognition”.

 

 

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Three CVC papers selected for the ICCV2021 Conference

ICCV 1

CVC is more than happy to announce that three of its papers have been selected for the ICCV2021 Conference, the premier international computer vision event.
Two of them were from Joost van de Weijer’s group and the other one from Sergio Escalera’s. Hereafter you can find them with a summary.

TransferI2I: Transfer Learning for Image-to-Image Translation from Small Datasets
Yaxing Wang, Hector Laria Mantecon, Joost van de Weijer, Laura Lopez-Fuentes, Bogdan Raducanu
Learning image-to-image (I2I) translation requires large datasets. In this paper, the authors propose transfer learning theory for I2I and show that they can now train high-quality systems on very small datasets.

Generalized Source-free Domain Adaptation
Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui
The authors propose a new method that can adapt to new target domains while keeping performance on the source domain without the need for any labels on the target domain.

DeePSD: Automatic Deep Skinning And Pose Space Deformation For 3D Garment Animation
Hugo Bertiche, Meysam Madadi, Emilio Tylson, Sergio Escalera
The authors present a novel solution to the garment animation problem through deep learning. Their contribution allows animating any template outfit with arbitrary topology and geometric complexity. When giving a piece (or set) of clothes, our approach links it to a “human body skeleton” thus, both clothing and person move in unison. Additionally, small deformations to the outfit for a realistic and consistent result are added.

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CVC researchers at CVPR 2021

cvpr

Several CVC researchers have attended this year’s Computer Vision and Pattern Recognition conference (CVCPR 2021), the world’s biggest gathering on Computer Vision Science. Like other events impacted by the COVID-19 pandemic, this year’s edition has taken place virtually from June 19th to June 25th.

CVC’s presence at CVPR 2021 has been the following:

Accepted Paper at CVPR (Main Conference):

Yang, L. Herranz, Y. Cheng, M. Mozerov, “Slimmable compressive autoencoders for practical neural image compression”, Proc. International Conference on Computer Vision and Pattern Recognition (CVPR21), June 2021 [arxiv][slides][​​video​​]

Accepted Papers at CVPR Workshops:

  1. Katakol, L. Herranz, F. Yang, M. Mrak, “DANICE: Domain adaptation without forgetting in neural image compression”, CVPR Workshop and Challenge on Learned Image Compression (CLIC 2021), June 2021 [arxiv][slides][​​video​​].
  2. Wang, L. Herranz, J. Van de Weijer, “Continual learning in cross-modal retrieval”, CVPR Workshop in Continual Learning in Computer Vision (CLVISION 2021), June 2021 [arxiv].
  3. Rafael E. Rivadeneira, Angel D. Sappa, et al. “Results and Awards of the Second Thermal Image Super-Resolution (TISR’2021) Challenge”, IEEE Workshop on Perception Beyond the Visible Spectrum (PBVS 2021), June 2021 [paper]
  4. Ozge Mercanoglu Sincan, Julio C. S. Jacques Junior, Sergio Escalera, et al. “ChaLearn LAP Large Scale Signer Independent Isolated Sign Language Recognition Challenge: Design, Results and Future Research”, June 2021 [paper]

Workshop Women in Computer Vision: Petia Radeva as mentor

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10 CVC papers presented at ICPR2020

cropped-ICPR2020_virtual-milano

Several CVC researchers attended the 25th International Conference on Pattern Recognition (ICPR’2020), which took place fully virtual on January 10-15th, 2021 due to the pandemic. ICPR is the flagship conference of IAPR the International Association of Pattern Recognition and the premiere conference in pattern recognition, covering computer vision, image, sound, speech, sensor patterns processing and machine intelligence. On this year’s edition, CVC researchers presented 8 papers in total: 3 orals and 5 posters at the main conference and 2 papers at the Conference’s Workshops.

The papers presented at ICPR2020 were the following: 

Named Entity Recognition and Relation Extraction with Graph Neural Networks in Semi Structured Documents, by authors Manuel Carbonell, Pau Riba, Mauricio Villegas, Alicia Fornés and Josep Lladós (oral)

Learning to Rank for Active Learning: A Listwise Approach, by authors Minghan Li, Xialei Liu, Joost Van de Weijer and Bogdan Raducanu (oral)

A Few-Shot Learning Approach for Historical Ciphered Manuscript Recognition, by authors Mohamed Ali Souibgui, Alicia Fornés, Yousri Kessentini and Crina Tudor (Best Student Paper Award) (oral)

Rank-Based Ordinal Classification, by authors Joan Serrat and Idoia Ruiz (poster)

LiNet: A Lightweight Network for Image Super Resolution, by authors Armin Mehri, Parichehr Behjati Ardakani and Angel D. Sappa (poster)

Text Recognition – Real World Data and Where to Find Them, by authors Klára Janouková (CMP-CTU in Prague), Lluis Gomez, Dimosthenis Karatzas and Jiri Matas (poster)

Uncertainty-Aware Data Augmentation for Food Recognition, by authors Eduardo Aguilar, Bhalajo Nagarajan, Rupali Khatun, Marc Bolaños and Petia Radeva (Universitat de Barcelona & CVC) (poster)

Modeling Long-Term Interactions to Enhance Action Recognition, by authors Alejandro Cartas, Petia Radeva and Mariella Dimiccoli (Universitat de Barcelona & CVC) (poster)

Papers presented at the Conference’s Workshops:

Towards Stroke Patients’ Upper-limb Automatic Motor Assessment Using Smartwatches, by authors Asma Bensalah, Jialuo Chen, Alicia Fornés, Cristina Carmona-Duarte, Josep Lladós and Miguel A. Ferrer, presented at the Artificial Intelligence for Healthcare Applications Workshop (AIHA 2020).

Understanding Event Boundaries for Egocentric Activity Recognition from Photo-Streams, by authors Alejandro Cartas, Estefania Talavera, Petia Radeva and Mariella Dimiccoli (Uniersitat de Barcelona & CVC), presented at the Workshop on Applications of Egocentric Vision (EgoApp).

 

Mohamed Ali Souibgui: ICPR2020 Best Student Paper Award

CVC PhD Student Mohamed Ali Souibgui won the ICPR2020 Best Student Paper Award of the Document and Media Analysis Track for his paper “A Few-shot Learning Approach for Historical Ciphered Manuscript Recognition at the 25th International Conference on Pattern Recognition (ICPR 2020). He presented the paper as an oral on January 15th 2021.

Congratulations!

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