Mohamed H. Elhoseiny, Ph.D., MSc (CS), MSc (CSys).

Postdoc Researcher in Computer Vision at Facebook AI Research      

Research interests: Computer Vision, Language & Vision,  Art & Vision, and Understanding of Deep  Learning, Art&AI.   Resume    linkedin , ResearchGate  I co-organized the 1st Workshop on Closing the Loop between Vision and Language, held in conjunction with ICCV 2015 and  2nd Workshop on Closing the Loop between Vision and Language, held in conjunction with ICCV 2017.    Affiliations(Rutgers, SRI International, Adobe Research, Facebook AI Research). Headlight Projects  Collaborators Ahmed Elgammal,  Professor of Computer Science at Rutgers University:  MS&PhD advisor and co-author in more than published 15 conference papers, 2 journal papers Yann LeCun,  Professor of Computer Scienc at NYU and Director of AI Research at Facebook. Tinne Tuytelaars, Professor of Computer Science at KULauven.   Dimitris Metaxas, Professor of Computer Science at Rutgers University: CBIM lab directors: co-author Harpreet Sawhney(CTO SRI International): Mentor at SRI International,   co-author Hui Cheng (Program Director, SRI International): Mentor at SRI International,   co-author Jingen Liu (Senior Research Scientist, SRI International): Mentor at SRI International,   co-author Xiaolei Huang (Associate Professor of Computer Science and Engineering at Lehigh University):  co-author Shaoting Zhang (Associate Professor of Computer Science at  UNC at Charlotte):  co-author Scott Cohen (Principal Scientist at Adobe Research): Mentor at Adobe Research,   co-author Brian Price (Senior Research Scientist at Adobe Research):  Mentor at Adobe Research, co-author Walter Chang (Principal Scientist at  Adobe Research): Mentor at Adobe Research, co-author Sheng Huang, Chongqing University: co-author Han Zhang, Rutgers University: co-author Tao Xu, Lehigh University: co-author Hossam Faheem (Ain Shams University, Egypt).  Students, I co-advise Ji Zhang, Rutgers Ethan Zhu, Rutgers Othman Sbai, University of Paris Mennatullah Siam, University of Alberta Profile Research and Hands-on Experience on Computer Vision, Machine Learning, Multimedia, Natural Language Processing, and Deep Learning Mentorship and Participation on various Artificial Intelligence Projects. Six years of industry experience as a Research and Development Software Engineer. Extensive programming, problem solving, integration and multidisciplinary engineering skills. Education PhD in Computer Science, Rutgers University – Supervisor: Prof. Ahmed Elgammal – Fall 2011-present– GPA 4.00                      Thesis: My research work is on Computer Vision, Machine Learning, Multimedia  and NLP. M.Sc in Computer Science, Rutgers  University – Supervisor: Prof. Ahmed Egammal – 2014 – courses GPA 4.0           MSc report, "Write a Classifier: Zero Shot Learning Using Purely Textual Descriptions", published at ICCV13 M.Sc in Computer Systems, Ain Shams University (ASU) – Supervisor: Prof. Taymour Nazmy – 2010 – courses GPA 3.55.                   Thesis: “High Performance Activity Monitoring for Scenes including Multiple Agents”, research GPA 4.0 BSc in Computer Systems, Ain Shams University (ASU) – Supervisor: Prof. Said ElGhoneimy – 2006 – GPA 3.96. News 11/2017: Our paper "The Shape of Art History in the Eyes of the Machine" got accepted at AAAI 2018 09/2017: Program Committee member  CVPR18  07/2017: In 2017, I have 2 CVPR (first/co-first author), 1 AAAI (first author), 1 TPAMI (first author), 1 ICCC, 1 book chapter 2017 (first author), 1 US patent, organizing closing the loop between vision and language 2017. 06/2017: US Patent accepted http://www.freepatentsonline.com/y2017/0132526.html 05/2017: We will be organizing the second workshop on Closing the loop between Vision and Language link 03/2017: Two papers accepted to CVPR17 03/2017: Program Commitee member in  Workshop of Large Scale Biometrics :  http://isse.cqu.edu.cn/lssb/ 02/2017: 6DS (28K images) and LSC (814K images) datasets was released. That was part of the sherlock project. The trained model2 on LSC is also available. see https://sites.google.com/site/mhelhoseiny/sherlock_project 12/2016: code released, SMTGP (published at the Machine Learning Journal 2015) code released https://sites.google.com/site/mhelhoseiny/computer-vision-projects/structured-regression 11/2016: (first author) AAAI 2017 paper accepted for publication, "Sherlock: Scalable Fact Learning in Images"   11/2016:  (first author) TPAMI paper accepted for publication 08/2016: ACL 2016 VL presentation of our work on collecting hundreds of thousands of high quality annotations from image-caption datasets.  "Automatic Annotation of structured Facts in Images". The evaluation shows that the precision is >80%.  Dataset released  link 07/2016: Received offers from Adobe Research, PostDocs at Stanford Univeristy, University of Torronto, and Facebook AI Research 06/2016: Visiting Facebook 06/2016:  Presenting our paper at ICML16, "A Comparative Analysis and Study of Multiview CNN Models for Joint Object Categorization and Pose Estimation" 05/2016: Talk and a Poster at the Mid-Atlantic Computer Vision Workshop (MACV), 2016 at JHU link  04/2016: 1 paper accepted to ICML16 (first-author)!, acceptance rate 24.5% 04/2016: Visiting Disney Research Pittsburgh 04/2016: Visiting UC Berkeley EECS 04/2016: Attending ICLR16 (presenting 1 conference paper (co-first author) and 1 workshop presentation (first-author) ), conference acceptance rate 25%. 04/2016: Attending CVPR16 (presenting 1 conference paper and a Doctoral Consortium poster) 04/2016:  CVPR16  Doctoral Consortium  award! 04/2016:  ICLR16  Travel Award! 03/2016: 1 paper accepted to CVPR 2016, "SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-grained Recognition". 02/2016: 1 paper accepted to  ICLR 2016, "Digging Deep into the layers of CNNs: In Search of How CNNs Achieve View Invariance" 11/2015: 1 paper accepted to WACV 2016, "Joint Object Recognition and Pose Estimation using a Nonlinear View-invariant Latent Generative Model" 10/2015: 1 paper accepted to AAAI 2016, "Zero Shot Event Detection by Multimodal Distributional Semantic Embedding of Videos" Honors and Awards  Best Intern Award , Silver, SRI International, Vision and Learning Group  [2014] CVPR16 Doctoral Consortium Award ICLR 2016 Travel Award Rutgers University Nominee for Google PhD Fellowship 2014 Nominated by the department of Computer Science at Rutgers University for Microsoft fellowship [2014]. 8/14 of the projects, I mentored from [2007] to [2011], received awards from Information Technology Industry Development Agency (ITIDA), Egypt. Travel awards for my ICIP publications by Rutgers University 2013 and 2014, also for ICCV 2013 from PAMI-TC.  Research-MSc fellowship by the Faculty of Computer and Information Sciences, Ain Shams university , [2007-2010]. Ranked 3rd in  the Computer Systems Bachelor Program and received the Honor degree, as indicated in my transcripts,  in [2006].  Ranked 1st in my High School class, in [2002] and received an honor-shield my rank. Employment Computer Vision Research Intern at Adobe Research, Vision Group, San Jose, CA– under: Dr. Scott Cohen Liu, Walter Chang, and Brian Price– Summer 2015 Computer Vision Research Intern at SRI-International, Vision an Learning Group, Princeton, NJ– under: Dr. Jingen Liu, Hui Cheng, and Harpreet Sawhney– Summer 2014 Computer Vision Research Intern at IPPLEX Corporation, LA, CA– under: Dr. Jeremi Sudol and David McKinnon– Summer 2012 Research & Development Associate at Future Business Development, Cairo, Egypt– under Dr. Adnan Faqeeh – Summer 2011 Senior R&D Software Engineer  (part-time) at House of Invention (HOI) GROUP, Cairo, Egypt– 2007-2011 Undergrad-Research Mentor & Teaching Assistant  at Computer Science Department, ASU, Cairo, Egypt–2007-2011 Software Testing Engineer at Giza Systems, Cairo, Egypt – 2006-2007   Services Reviewer for IEEE TPAMI Journal Reviewer for IEEE TMM Journal Reviewer for IEEE TIP Journal Reviewer for IEEE TNNLS  Reviewer for CVPR, ICCV, ECCV conferences Reviewer for BMVCW Reviewer for MVA Journal Journal Bio  Mohamed Elhoseiny is a PhD candidate at the Department of  Computer  Science,  Rutgers,  the  State  University  of  New Jersey. He is also a member of the Center for Computational Biomedicine Imaging and Modeling (CBIM).  He has become very interested in Computer Vision and Machine Intelligence, and especially in Language & Vision problems for the sake of visual perception (PhD major work). Mohamed received the best intern award silver at SRI International Princeton in 2014 for his work on connecting videos to language. He co-organized the workshop on “Closing the Loop between Vision and Language”  at the International Conference on Computer Vision (ICCV), 2015.  He has authored 15 papers in premier Computer Vision and Machine Learning conferences and journals such as  ICML, ICCV, CVPR, AAAI, ICLR, MLJ, ICIP, MTAP, ISM. Emails  [mylastname][at]fb[dot]com, m.elhoseiny[at]cs[dot]rutgers[dot]edu, mhe19[at]cs[dot]rutgers[dot]edu,mohamed.elhoseiny[at]gmail[dot]com

Myself (bottom left) as part of the FAIR team  ECML-PKDD 2015, Porto, Portugal Receiving best intern award (silver) from Dr. Rakesh Kumar, President of SRI International, Princeton, NJ, August 15th 2014. ICCV13, Sydney, Australia