त्वरित संपर्क
गौरव शर्मा
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
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