5 CVPR’s from CVC this year
As every year, the CVC has been present at the most important gathering in the Computer Vision Science Community, the annual Computer Vision and Pattern Recognition conference (CVPR). In this edition, CVC researchers have presented a total of 5 papers. The conference was held from the 16th to the 20th of June in Long Beach, California.
The articles presented were the following:
Doodle to Search: Practical Zero-Shot Sketch-based Image Retrieval , by authors Sounak Dey, Pau Riba, Anjan Dutta, Josep Lladós and Yi-Zhe Song.
Learning Metrics from Teachers: Compact Networks for Image Embedding, by authors Lu Yu, Vacit Oguz Yazici, Xialei Liu, Joost van de Weijer, Yongmei Cheng and Arnau Ramisa
Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval, by authors Anjan Dutta and Zeynep Akata
What does it mean to learn in deep networks? And, how does on detect adversarial attacks?, by authors Ciprian A. Corneanu, Meysam Madadi, Sergio Escalera and Aleix M. Martinez.
Good News, Everyone! Context driven entity-aware captioning for news images, by authors Ali Furkan Biten, Lluis Gomez, Marçal Rusiñol and Dimosthenis Karatzas
Have a look at our CVPR 2019 Moment in Twitter: https://twitter.com/i/moments/1143432435654438913?s=13
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