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Naila obtained a B.Sc. in Electrical Engineering from Princeton University in 2007. In 2012, she received her PhD from the Unversitat Autonoma de Barcelona, in affiliation with the Computer Vision Center. She joined NAVER LABS Europe (then Xerox Research Centre Europe) in January 2013, working on topics including fine-grained visual categorization, image retrieval, and visual attention. From 2015 to 2019 she led the computer vision team at NLE and is currently its director of science, where she coordinates, guides and supports research activities. Her current research interests include representation learning, multi-modal search, and generative image models.
- I gave a lecture on convolutional models at the 2018 Deep Learning Indaba in Stellenbosch, South Africa. Here are my slides in pptx (preserves animations) and pdf (no animations) format.
- I will serve as area chair for ICLR 2019.
- I gave a keynote talk at the 2017 Women in Computer Vision Workshop at CVPR in Hawaii.
- My paper with Hervé Jégou, Florent Perronnin and Andrew Zisserman, "Interferences in Match Kernels", has been published in TPAMI.
- My paper with Saumya Jetley and Eleonora Vig, "End-to-End Saliency Mapping via Probability Distribution Prediction", has been selected as a spotlight presentation at CVPR 2016.
- I received an outstanding reviewer award at ICCV 2015.
- My paper with Albert Gordo, Jon Almazan and Florent Perronnin, "LEWIS: Latent Embeddings for Word Images and their Semantics", has been accepted at ICCV, 2015.
- My paper with Florent Perronnin, "Generalized Max Pooling", has been accepted at CVPR, 2014.
- The INRIA-XEROX team (Philippe-Henri Gosselin, Florent Perronnin, Hervé Jégou and I) won the 2013 Fine-Grained Challenge (FGComp '13), held in conjunction with the 2013 Large Scale Visual Recognition Challenge workshop at ICCV 2013.