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Mandar Dixit Department of Electrical and Computer Engineering, University of California, San Diego 9500 Gilman Drive, Mail code 0409 La Jolla, CA 92093-0409 EBU 1, Room 5512 Email: mdixit at u c s d . e d u Phone: (858) 534-4538

I am currently a PhD student at the Statistical Visual Computing Lab, Department of Electrical and Computer Engineering at University of California, San Diego (UCSD). I received a B.Tech. in ECE from Visvesvaraya National Institute of Technology, Nagpur, India in May 2007 and an M.Tech. in EE from The Indian Institute of Technology, Kanpur, India in June 2009.
RESEARCH INTERESTS:
	My research interests are computer vision and machine learning. I have worked on problems of large scale visual recognition, neural network design, transfer learning and low-shot learning.
RECENT PROJECTS:
	Object to Scene Transfer
	Attribute Guided Data Augmentation
PUBLICATIONS:
	Feature Space Transfer for Data Augmentation [ORAL] B. Liu, X. Wang, M. Dixit, R. Kwitt, N. Vasconcelos To appear in, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Salt Lake City, Utah, USA, 2018. [arxiv version][pdf]
	Bag-of-Semantics Representations for Object to Scene Transfer M. Dixit, Y. Li, N. Vasconcelos To be submitted [arxiv coming soon]
	Deep Scene Image Classification with the MFAFVNet Y. Li, M. Dixit, N. Vasconcelos To appear at IEEE International Conference on Computer Vision (ICCV) Venice, Italy, 2017. [arxiv version][pdf]
	AGA: Attribute Guided Augmentation [ORAL] M. Dixit, R. Kwitt, M. Niethammer, N. Vasconcelos In Proc., IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Honolulu, Hawaii, USA, 2017. [arxiv version][talk video][pdf]
	Object based Scene Representations using Fisher Scores of Local Subspace Projections M. Dixit, N. Vasconcelos In Advances in Neural Information Processing Systems (NIPS) Barcelona, Spain, 2016. [pdf][spotlight video]
	Semantic Clustering for Robust Fine-Grained Scene Recognition M. George, M. Dixit, G. Zogg and N. Vasconcelos In European Conference on Computer Vision (ECCV) Amsterdam, Netherlands, 2016. [pdf][supplement]
	Scene Classification with Semantic Fisher Vectors M. Dixit, S. Chen, D. Gao, N. Rasiwasia, N. Vasconcelos In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Boston, Massachussetts, USA, 2015. [pdf][supplement]
	Class Specific Simplex-Latent Dirichlet Allocation for Image Classification M. Dixit*, N. Rasiwasia* and N. Vasconcelos In Proc. IEEE International Conference on Computer Vision (ICCV) Sydney, New South Wales, Australia, 2013. [ps][pdf] (*-Indicates equal contribution)
	Adapted Gaussian Models for Image Classification M. Dixit, N. Rasiwasia and N. Vasconcelos In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Colorado Springs, Colorado, USA, 2011 [ps][pdf]
	Combining Edge and Color Features for Tracking Partially Occluded Humans M. Dixit, K.S. Venkatesh In Proc Asian Conference on Computer Vision (ACCV), LNCS 5995, pp. 140-149 X'ian, China, Sept. 2009 [pdf]
WORKSHOPS:
	Scene Classification with Semantic Fisher Vectors Scene Understanding Workshop (SunW) IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015, Boston, MA. [SunW]
	Contextual CNN for Scene Classification Large Scale Scene Understanding (LSUN) Workshop at IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015, Boston, MA. [LSUN 2015 leaderboard]
PhD THESIS:
	Semantic Transfer with Deep Neural Networks
TALKS:
	AGA: Attribute-Guided Augmentation CVPR, Honolulu, HI, July 2017
	AGA: Attribute Guided Data Augmentation Vicarious AI, May 2017
	Knowledge Transfer with Deep Neural Networks Microsoft AI & Research, May 2017
	A Semantic Representation for Scene Classification Intel Inc., Oct 2015
	Scene Classification with Convolutional Neural Networks Qualcomm Inc., May 2015
	Scene Classification with Semantic Fisher Vectors Samsung, Dec 2014
AWARDS:
	Graduate Fellowship, UCSD, 2009-2010
	Rajiv Gandhi Talent Fellowship, Jawaharlal Nehru Center for Advanced Scientific Research (JNCASR), 2006
SERVICE:
	Reviewer, Neural Information Processing Systems (NIPS) 2017
	Reviewer, IEEE International Conf. on Computer Vision (ICCV) 2017
	Reviewer, European Conf. on Computer Vision (ECCV) 2016
	Reviewer, IEEE Computer Vision and Pattern Recognition (CVPR) 2016, 2017, 2018
	Technical Program Committee, International Conf. Multimedia Retrieval (ICMR) 2015
	Student member, IEEE, Computer Vision Foundation (CvF)

Last update: 03/06/2018

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