Computer Vision Catalan Alliance at CVPR2019
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).