IS&T

Rochester Chapter Society for Imaging Science and Technology

Website: http://rochesterengineeringsociety.wildapricot.org/ISandT

Our meetings are held at 6:00pm in Room 1275 of the Carlson Center for Imaging Science on the RIT campus.

NOTE THAT THIS MEETING (JANUARY) IS A JOINT MEETING WITH THE IEEE ROCHESTER SECTION SIGNAL PROCESSING

SOCIETY. PIZZA IS AT 5:30PM. Everyone is welcome to attend. Parking is available in the F lot, just north of the building. No meeting reservations are required.

Meeting Schedule

Wednesday, February 14, 2018 - "From 8-Bit to 4K: A Leading Computational Imaging Algorithm for Digital Printing Technology," by Chunghui Kuo, Eastman Kodak Co. Venue ideas requested – we are soliciting input regarding other possible venues for our meetings.

Wednesday, March 21, 2018 - "Integrated Photonics: Challenges and Opportunities," by Jaime Gardenas, University of Rochester. Wednesday, April 18, 2018 - RIT Students Program Wednesday, May 16, 2018 - "Materials of Construction Test: Insuring the Use of Safe Materials in Photo Books," by Joseph LaBarca, Pixel Preservation International

Wednesday, January 17, 2018

Using Deep Learning to Better Understand Vision and Language by Shagan Sah, PhD Candidate, RIT

Abstract:

Deep learning has enabled incredible advances in computer vision, natural language processing, and general image and video understanding. Recurrent neural networks have demonstrated the ability to generate text from visual stimuli, while image generative networks have demonstrated remarkable ability to create photorealistic images. Towards appreciating these methods, this talk is divided into two broad groups. Firstly, we introduce a general purpose Steered Gaussian Attention Model for video understanding. The use of an attention based hierarchical approach along with automatic boundary detection delivers state-of-the-art results on popular video captioning datasets. In the second part of the talk, we discuss four modality transformations: visual to text, text to visual, visual to visual and text to text. In addition to reviewing recent techniques, we introduce improvements in all transformations. To conclude, we show interesting results how the generative methods can seamlessly integrate bidirectional written and visual modalities.

The Rochester Chapter Nominating Committee is starting to seek input for candidates to run in our 2018 election. We are also looking for individuals willing to make the short term effort of being on the Committee itself.

Nominations will be considered for President, VP Programs, VP Membership, Recording Secretary and Treasurer, all of which are one year terms. Councilors will be considered for two year terms. Give thought to joining an active, local governing body that has provided dynamic monthly meetings on topics on the frontiers of imaging science for more than fifty years! To discuss officer requirements or to email candidate profiles, please contact us at RochesterIST@gmail.com.

Call for Nominations and Committee Assistance

Biography:

Shagan Sah is a Ph.D. candidate in the Center for Imaging Science at Rochester Institute of Technology. He obtained a bachelors in engineering degree from the University of Pune, India. This was followed by a master of science degree in imaging science from Rochester Institute of Technology (RIT), New York, USA with aid of a RIT Graduate Scholarship. He is interested in the intersection of machine learning, natural language and computer vision. His current work primarily lies in the applications of deep learning for image and video understanding. He has authored over 20 publications in various journals and conferences. He has worked at Xerox-PARC as a Video Analytics Intern, at Motorola as a Camera Intern, and at Cisco Systems as a Software Engineer.

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