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Gaurav Sharma
PhD (INRIA & CNRS/UniCaen/ENSICAEN)
Assistant Professor, Departement of Computer Science and Engineering
Research Interest
Image classification, Vision and Language, Facial Analysis, Zero-shot Classification
Specialization
Computer Vision and Machine Learning
Education
PhD (2012) - INRIA & CNRS/UniCaen/ENSICAEN
M.Tech Integ. (2008) - IIT Delhi
PhD thesis title: Semantic Description of Humans in Still Images
PhD thesis supervisor: Cordelia Schmid and Frederic Jurie
Teaching Area
Computer Vision
Machine Learning
Selected Publications
Expanded Parts Model for Semantic Description of Humans in Still Images, G. Sharma, F. Jurie, C. Schmid, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016 (In press)
CP-mtML: Coupled Projection multi-task Metric Learning for Large Scale Face Retrieval, B. Bhattarai, G. Sharma, F. Jurie, Computer Vision and Pattern Recognition (CVPR) Las Vegas, NV, USA, June 2016 (accepted; to appear)
LOMo: Latent Ordinal Model for Facial Analysis in Videos (Spotlight presentation), K. Sikka, G. Sharma, M. Bartlett, Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, USA, June 2016 (accepted; to appear)
Latent Embeddings for Zero-shot Classification (Spotlight presentation), Y. Xian, Z. Akata, G. Sharma, Q. Nguyen, M. Hein, B. Schiele, Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, USA, June 2016 (accepted; to appear)
Scalable Nonlinear Embeddings for Semantic Category-based Image Retrieval, G. Sharma, B. Schiele, International Conference on Computer Vision (ICCV), Santiago, Chile, Dec 2015
Professional Experience
01/2015 - 03/2016 -- Postdoc fellow, MPI for Informatics
05/2013 - 11/2015 -- Researcher, Exploratory Research Group, Technicolor
12/2012 - 05/2013 -- Researcher, CNRS GREYC
09/2008 - 09/2009 -- Senior Engg., Tech. Planning Group, Samsung R&D