Computer Vision technologies have made large strides from research to products in recent times. Video Analytics algorithms that can process large scale video streams and images to recognize, find and track moving objects across frames are useful in variety of vertical domains like retail, transportation, drone applications, AR, VR, automobile industry, agriculture and others. Techniques for detecting a specific type of object in a image or video stream is a very important aspect of any computer vision application.
IEEE Computer Society is proud to present their Flagship event DeepTech.AI series, with focus on DeepVision. The goal of this event is to bring together practitioners from various industry verticals and academia to allow cross pollination of ideas across verticals to discuss various facets of Computer Vision - Core Technology, Solution Development insights, Challenges in Productization and Future trends.
The Symposium agenda will include panel discussions on technology and business landscape, case studies from practitioners and deep technical talks. The symposium will also provide a platform for students and engineers to present their novel ideas in Poster and Demo sessions.
Looking forward to meet you in the workshop.Check Schedule
Director, Machine Learning, Amazon
Director, Machine Learning, Amazon INDIA
Rajeev Ramnarain Rastogi is an Indian computer scientist who graduated from the Indian Institute of Technology Bombay, where he got his Bachelor of Science degree in 1988. He received his Master's and Doctoral degrees from the University of Texas in 1990 and 1993 respectively.
In 1993 Rastogi started working at Bell Labs in Murray Hill, New Jersey. He became member of technical staff at its Information Sciences Research Center. Five years later he held the Distinguished Member of Technical Staff position and by 1999 became a director of the Internet Management Research Department and became a Bell Labs fellow in 2003. In 2012, he became a fellow of the Association for Computing Machinery "for contributions to the analysis and management of large data sets."
He was Vice President of Yahoo! Labs in Bangalore and is currently serving as a director of Machine Learning on Amazon.com. He has over 200 peer-reviewed articles with the CURE: An Efficient Clustering Algorithm for Large Databases which received over 3,100 citations since 1998, bringing him an h-index of 63.
Professor, PES University
Gowri Srinivasa obtained her Bachelors degree in Computer Science and Engineering from P.E.S. Institute of Technology at Bangalore in 2004. She then obtained her Ph.D. in Biomedical Engineering from Carnegie Mellon University in 2008, working under the supervision of Prof. Jelena Kovacevic on Biomedical Image Processing problems. Since August 2008, she has been with the department of Information Science and Engineering at P.E.S. Institute of Technology, Bangalore South Campus, where she is currently a professor and involved in developing the Center for Pattern Recognition.
Gowri's research interests are in the areas of image and signal processing, multiresolution techniques and pattern recognition. Her current research is focused on problems in these domains.
Gowri is an Associate Member of Technical Committee for Bio Imaging and Signal Processing of the IEEE Signal Processing Society.
Dr. Manish Gupta is a co-founder and CEO of VideoKen, a video technology startup, and the Infosys Foundation Chair Professor at IIIT Bangalore. Previously, Manish has served as Vice President and Director of Xerox Research Centre India and has held various leadership positions with IBM, including that of Director, IBM Research - India and Chief Technologist, IBM India/South Asia. As a Senior Manager at the IBM T.J. Watson Research Center in Yorktown Heights, New York, Manish led the team developing system software for the Blue Gene/L supercomputer. IBM was awarded a National Medal of Technology and Innovation for Blue Gene by US President Barack Obama in 2009. Manish holds a Ph.D. in Computer Science from the University of Illinois at Urbana Champaign. He has co-authored about 75 papers, with more than 6,000 citations in Google Scholar (and an h-index of 45), and has been granted 19 US patents. While at IBM, Manish received two Outstanding Technical Achievement Awards, an Outstanding Innovation Award, and the Lou Gerstner Team Award for Client Excellence. Manish is a Fellow of ACM and the Indian National Academy of Engineering, and a recipient of a Distinguished Alumnus Award from IIT Delhi
Assistant Professor, IISC
Assistant Professor, IISC
Dr. Soma Biswas is an Assistant Professor in the Department of Electrical Engineering at Indian Institute of Science, Bangalore, India. Her research interests are in Computer Vision, Pattern Recognition, Image Processing and related areas.
Dr. Arijit Biswas is a Senior Machine Learning Scientist at Amazon India. His research interests include Machine Learning, Computer Vision, Multimedia Analytics, Text Analytics Crowdsourcing, Human Computer Interaction, Bio-inspired Optimization.
Assistant Professor, IISC
Assistant Professor, IISC
Venkatesh Babu is an assistant professor in Computational and Data Sciences (CDS), Indian Institute of Science (IISc), Bangalore. He received his doctorate degree from the Dept. of Electrical Engineering, Indian Institute of Science, Bangalore. Thereafter, he held postdoctoral positions at NTNU, Norway and IRISA/INRIA, Rennes, France, through ERCIM fellowship. Subsequently he worked as a research fellow at NTU, Singapore. He spent couple of years working in industry before joining IISc in August 2010.
His research interests span signal processing, compression, machine vision, image/video processing, pattern recognition and multimedia. The challenge of emulating human perception, understanding and decision-making capacity, on problems stemming from real-life applications of multimedia, greatly drives my research focus. Some specific problems in his domain of interest are compressed domain video analysis/processing, video surveillance, visual tracking, event detection, object-based video retrieval and image/video quality assessment.
CEO & Co-Founder, Kalpnik
Dr. Ashwani Garg is CEO and Co-Founder of Kalpnik , whose vision is to bring unique blend of AR/VR/CV and interaction technologies so people can experience places/events remotely like never before.
He has more than 2 decades of rich experience in engineering, business and executive roles in start-ups and large organizations both in India & USA. He has strong understanding of global technology trends/ecosystem with the ability to define product strategy, roadmaps and build global execution teams.
Most recently, he was involved in creating Intel’s strategy and products in IOT Smart home space while growing APAC business. As a founding member of new business incubation efforts at Intel, he has built several disruptive start-up businesses from concept to revenue including successful IOT sensing and services business in consumer healthcare (Intel’s first product inspired by unique India market needs) and Automotive telematics. He also led an unsuccessful start-up that attempted to bring internet to masses through TV screen, an idea ahead of it's time.
Prior to Intel, At Trillium (acquired by Intel) and InterWave (acquired by Alvarion), he developed and managed comms infra products that were deployed with Tier-1 customers worldwide. He started his career at C-DOT developing India’s first 40K digital exchange deployed at Bangalore, India. He holds multiple patents in the area of distributed fault tolerant systems.
With his early start in IOT domain, he is well networked in the industry and has been a regular speaker/mentor at Nasscom, TiE, IESA, and many events in early days to build IOT momentum in India.
At a personal level, he is an advisor/mentor to several start-ups in IOT, enterprise SAAS, and AR/VR space. He holds BE in Computer SC from MNNIT, Allahabad and executive MBA from IIM, Bangalore.
Senior Data Scientist, OLA
Senior Data Scientist, OLA
Dr. Pramod Kompalli is a Senior Data Scientist at Ola, where he works on Computer Vision and Machine Learning problems. Previously, he was with Flipkart, where he built visual search & recommendation systems, as well as a demand forecasting solution. Earlier, he was a Research Scientist at Xerox Research Centre India (XRCI), where he applied Deep Learning approaches for object recognition and multimodal data fusion.
Pramod completed his PhD from IIIT-Hyderabad, focusing on building retrieval systems for large-scale multimedia collections such as movies, sports videos and document images. His PhD Thesis had won the Doctoral Dissertation Award from IUPRAI. Pramod had delivered a tutorial at DAS 2014, on Large Scale Document Retrieval and was an organizer of the Robust Reading Workshop at ECCV 2016 & ACCV 2014. He was awarded an Outstanding Reviewer Award at ACCV 2014 and ICDAR 2017. One of his projects on Cricket video annotation was covered by The Washington Post, NDTV Gadgets, etc.
Co-founder & CEO, Merxius
Co-founder & CEO, Merxius
Ms. Vaishali Neotia is an engineer, entrepreneur, speaker, and revolutionist. She is also the cofounder and CEO of Merxius, a company that solves real world business problems using Extended Reality (Augmented, Virtual, Mixed). Its flagship product RED enables enterprises to leverage the power of these technologies to improve their business processes.
Merxius is a Boeing HorizonX startup and partner at Facebook’s India Innovation Hub and has received awards and honours from Global Entrepreneurship Summit, IBM, Tata Elxsi, IET, UKTI Tech Rocketship, Aegis Graham Bell Awards, Nasscom, and Wadhwani Foundation among others.
Vaishali is an alumnus of La Martiniere, Osmania University, Indian School of Business, Stanford Graduate School of Business, Startup Leadership Program and Sonder Connect. She was selected for mentorship by the US State Department under Ms Dina Powell, president of the Goldman Sachs Foundation.
Vaishali is a regular speaker on technology, innovation, augmented and virtual reality, entrepreneurship and diversity. She is regularly quoted in newspapers and magazines including Forbes. She is a mentor for various initiatives including Girls in Tech, US Exchange Programs, Sheroes and Startup Leadership. She was a board member of the GS-ISB-10000 Women alumni and president of the Hyderabad chapter. She has previously chaired the Women in Engineering committee at VLSID, been a committee member at Grace Hopper conference and HYSEA SME, and is a member of Fortune Most Powerful Women, Vital Voices, U.S Exchange Alumni, COWE, CWE, ALEI, and WeConnect International networks.
Principal Scientist, TCS
Mr. Niranjan Pedanekar has extensive experience in applied research and innovation, mainly in managing innovation, applying data analytics to real-life problems and scale-up of such solutions. In parallel, he works as a theater writer and director at Rangdrishti, Pune.
His current area of research is the intersection of Entertainment, Data Science and Behavioral Science. He is working on research-based solutions for personalization of entertainment and re-imagining the future of entertainment.
Principal Engineer, IoT Group, Intel
Rajesh Banginwar is a Principal Engineer in Intel’s Internet of Things Group focusing on the industrial IOT domain for data management and analytics. He also leads the architecture definition in the functional safety space for Intel’s IOT Si products. Prior to that he worked as platform security architect for Intel’s mobile products. He has over 30 patents filed or in progress. He has Master’s degree in Computer Science from Indian institute of Science, Bangalore.
Mr. Tathagato Rai Dastidar, also known as Tatha is the co-founded and Chief Scientific Officer of SigTuple Technologies Private Limited, a startup application of machine learning in healthcare. He holds Ph.D (2007) and B.Tech. (2000) degrees in Computer Science & Engineering from IIT Kharagpur. He has 18+ years industry experience.
Principal Engineer, Data Science, DELL
Mr. Neeraj Tiwari has over 10+ years of experience to research, design, and create Artificial Intelligence product in industry. He is specialised in deep learning with applications to image, video and text understanding.
His general interests are Deep learning for object recognition, Video analysis for semantic content, Word Embedding and understanding the contextual relationship between words.
Senior Scientist, GE Global Research
K S Shriram is an alumnus of Penn State University and RV College of Engineering. Over the years he has had opportunities to work on Computer Vision problems as varied as tracking people across cameras to tracking tumours inside the lungs; from measuring the length of a queue of shoppers at a retail outlet to measuring the length of a crack in complicated machinery. He is currently employed as Senior Scientist at GE Global Research, Bangalore.
IEEE Symposium on "DeepVision.AI"
|08:45||Inauguration, Welcome Address and Symposium Overview||Dr. Geetha Manjunath, Chair, IEEE Computer Society Bangalore Chapter|
|09:00||Inaugural Keynote Address||Dr. Rajeev Rastogi, Director, Machine Learning, Amazon INDIA|
|09:30||Fundamentals of Computer Vision||Dr. Gowri Srinivasa, Professor, PESIT|
|10:10||Activities of IEEE Computer Society||Ms. Vasantha Erraguntla, Vice Chair, IEEE Computer Society|
|10:15||Making Informational Videos More Watchable through Automatic Indexing||Dr. Manish Gupta, CEO, VideoKen|
|11:00||Object Recognition and Detection Techniques||Dr. Soma Biswas, IISC|
|11:40||Visual search and recommendation for eCommerce||Dr. Pramod Kompalli, Senior Data Scientist, OLA|
|12:00||Research techniques: Deep Representation Learning and GANs||Dr. Arijit Biswas, Amazon Scientist|
|12:45||Lunch & Networking|
|13:45||Industrial Use of Computer Vision||Mr. Rajesh Banginwar,Principal Engineer, IoT Group, Intel|
|14:30||Computer Vision algorithms for Healthcare||Dr. Tathagato Rai Dastidar, Co-founder, SigTuple|
|15:00||Fooling Deep Models - Adversarial perturbations||Dr. Venkatesh Babu, Assistant Professor, IISc|
|15:45||Tea and coffee break|
|16:00||An Innovative application of video analytics for Business Process Optimization||Mr. Neeraj Tiwari, Principal Engineer, Data Science, DELL EMC|
|16:15||Fireside Chat: Computer Vision challenges for AR/VR/ER|| Mr. Ashwani Garg (Kalpnik)
Dr. K S Shriram (GE Global)
Moderator: Ms. Hima Patel (IBM)
|16:45||Computer Vision for Entertainment & Advertising||Mr. Niranjan Pedanekar, Principal Scientist, TCS|
|17:15||Vote of Thanks||Dr. Vishwas Lakkundi, Secretary, IEEE Computer Society Bangalore Chapter|
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