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Gaurav Sharma

Gaurav Sharma

PhD (INRIA & CNRS/UniCaen/ENSICAEN)

Assistant Professor, Departement of Computer Science and Engineering

शोध करना दिलचस्पी

Image classification, Vision and Language, Facial Analysis, Zero-shot Classification

Office

KD212, CSE, IIT Kanpur

विशेषज्ञता

Computer Vision and Machine Learning

शिक्षा

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

शिक्षण क्षेत्र

Computer Vision

Machine Learning

चयनित प्रकाशन

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

पेशेवर अनुभव

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