National Seminar on Computer Vision & Image Processing

NaSCoVIP 2022 is curtain riser event for IEEE R10 HTC (Humanitarian Technology Conference) (16th – 18th October, 2023) to be held at Marwadi University, Rajkot, Gujarat

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Theme: Computer Vision and Image processing for Humanitarian Technology

Date: 11 – 12 November, 2022

Venue: Marwadi University, Rajkot

With the explosion of Internet technology and Graphic Engines, there has been a massive growth in the research area of Computer Vision and Image Processing. While the field of Image Processing deals with the processing of digital images that are two-dimensional entities, Computer Vision adds the third dimension by computing the object’s depth. A two-day national seminar will promote research and developmental activities in India. The seminar fortifies the Computer Vision and Image Processing and the related fields by assembling experts and the researchers. The seminar’s primary goal is to promote scientific information exchange amongst experts, researchers, developers, engineers, students, and practitioners working in the country. The scientific program of the seminar will consist of presentations by leading experts worldwide in the field of Computer Vision and Image Processing. Experts will address the recent developments and trends in the fields. Participants will get enough opportunity to enhance their knowledge regarding the state-of-the-art fields through interaction with experts. It will stimulate the research potential of the candidates who wish to pursue doctoral degrees in the related fields.

About IEEE

IEEE is the world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity. IEEE and its members inspire a global community through its highly cited publications, conferences, technology standards, and professional and educational activities.

About IEEE Gujarat Section

IEEE Gujarat Section (registered u/s 80G) comes under the Asia-Pacific Region, the Region 10 of IEEE. The Gujarat Section, a subsection of Bombay Section, was upgraded to the full-fledged section on 15th August 1990. In 2004 Gujarat Section was adjudged the Outstanding Small Section of Region 10.

The section emphasizes quality programs, which are regular features for the professional development of its members. The section’s participative philosophy allows students to make programs as per their own needs. The section encourages students and has instituted awards for student members.

Committee

General Chair

- R. B. Jadeja, Marwadi University, Rajkot
- Kiran Amin, Ganpat University, Rajkot

Advisory Committee

- Deepak Mathur, IEEE R10, Asia Pacific Region
- Sandeep Sancheti, Marwadi University, Rajkot
- Maniklal Das, DA-IICT, Gandhinagar
- Anil Roy, DA-IICT, Gandhinagar

Program Chair

- Ashish Phophalia, IIIT, Vadodara
- Chirag Paunwala, SCET, Surat

Organizing Committee

- Naresh Jadeja, Marwadi University, Rajkot
- R. L. Jhala, Marwadi University, Rajkot
- R. M. Patel, Marwadi University, Rajkot
- Amit Ved, Marwadi University, Rajkot
- Sumit P. Makwana, Marwadi University, Rajkot
- C. D. Parmar, Marwadi University, Rajkot
- Madhu Shukla, Marwadi University, Rajkot
- Hardik Doshi, Marwadi University, Rajkot
- Jay Teraiya, Marwadi University, Rajkot
- Foram Rajdev, Marwadi University, Rajkot

Finance Chair

- Manisha Shah, Nirma University, Ahmedabad

Program Committee

- Gunvantsinh Gohil, JAU, Junagadh
- Satvik Khara, Silver Oak University, Ahmedabad
- Usha Mehta, Nirma University, Ahmedabad
- Amit Nanavati, Ahmedabad University
- Amit Patel, PATectual IP Law Services LLP
- Hardik Pathak, GCET, Anand
- Shiv Mohan, ISRO, Ahmedabad
- Pankaj Gupta, IL&FC, Gujarat
- Sanjay Shrivastav, DA-IICT, Gandhinagar
- Purvi Koringa, GEC Gandhinagar

Student Volunteers

- Anubhav Shrivastav, GCET, Anand
- Dev Zaveri, Marwadi University, Rajkot
- Divyesh Patel, Silver Oak, Ahmedabad
- Heet Zalavadiya, Marwadi University, Rajkot
- Hirmi Patel, DA-IICT, Gandhiangar
- Keval Parekh, Marwadi University, Rajkot
- Krina Khakhariya, Marwadi University, Rajkot
- Krunal Karia, Marwadi University, Rajkot
- Mahek Goswami, ADIT, Anand
- Parth Pandya, Marwadi University, Rajkot
- Rythem Mehta, Nirma University, Ahmedabad
- Siddhi Bhatt, Ganpat University, Mehsana

Call for Participation

Schedule

Day 1: Nov 11, 2022
10.00 AM	Inaugrationa	Title
10.30 AM – 11.45 AM	Prof. Sushmita Mitra	Harnessing AI for Healthcare
12.00 Noon – 1.15 PM	Prof. Bakul Gohel	Deep Learning and Medical Informatics
1.15 PM – 2.30 PM	Lunch Break
2.30 PM – 3.45 PM	Prof. Krishna P Miyapuram	Brain Computer Interfaces for Reconstructing sensory experiences
3.45 PM – 4.00 PM	Tea Break
4.00 PM – 5.15 PM	Prof. Jian Chen	Understand data and AI to help the society
Day 2: Nov 12, 2022
10.30 AM – 11.45 PM	Prof. Sridhar Devarajan	Efficient remedies for outlier detection with deep generative models
12.00 Noon – 1.15 PM	Prof. Vijay Bhaskar Semwal	Moving toward Design of Data Driven IoT model using Deep learning(TinyML) for Human Activity Recognition using
1.15 PM – 2.30 PM	Lunch Break
2.30 PM – 3.45 PM	Dwij Mistry & Kiran Jadhav	AR/VR Jajal Medical Services
3.45 PM – 4.00 PM	Tea Break
4.00 PM – 5.00 PM	PhD Conclave
5.00 PM – 5.30 PM	Veledictory Session

Speakers

	Sushmita Mitra Professor, Machine Intelligence Unit, Indian Statistical Institute, Kolkata Bio: Sushmita Mitra is a full professor at the Machine Intelligence Unit (MIU), Indian Statistical Institute, Kolkata. From 1992 to 1994 she was in the RWTH, Aachen, Germany as a DAAD Fellow. She was a Visiting Professor in the Computer Science Departments of the University of Alberta, Edmonton, Canada; Meiji University, Japan; and Aalborg University Esbjerg, Denmark. Dr. Mitra received the National Talent Search Scholarship (1978-1983) from NCERT, India, the University Gold Medal in 1988, the IEEE TNN Outstanding Paper Award in 1994 for her pioneering work in neuro-fuzzy computing, the CIMPA-INRIA-UNESCO Fellowship in 1996, and Fulbright-Nehru Senior Research Fellowship in 2018-2020. She was the INAE Chair Professor during 2018-2020. Dr. Mitra has been awarded the prestigious J. C. Bose National Fellowship, 2021. Dr. Mitra is a Fellow of the IEEE, The World Academy of Sciences (TWAS), Indian National Science Academy (INSA), International Association for Pattern Recognition (IAPR), Asia-Pacific Artificial Intelligence Association (AAIA), and Fellow of the Indian National Academy of Engineering (INAE) and The National Academy of Sciences, India (NASI). She is an IEEE CIS Distinguished Lecturer, Member of Inter-Academy Panel Panel for Women in STEMM, and the current Chair, IEEE Kolkata Section. Title of Talk: Harnessing AI for Healthcare Abstract: The talk will focus on the role of Artificial Intelligence and Learning in the domain of healthcare. Topics like Genomics, Radiomics, Radiogenomics, and Personalized Medicine will be discussed. Some research applications made by our group in these domains will be described. These include segmentation and survival prediction in brain tumours, screening of covid -19, and early detection of diabetic retinopathy.
	Jian Chen Associate Professor, Computer Science and Engineering, The Ohio State University, USA Bio: Jian Chen, Ph.D., is an Associate Professor in the Department of Computer Science and Engineering at The Ohio State University. Her research centers on visualization, immersive interaction, and computing for social good. Outside of computer science venues, Chen publishes work on Brain Science. Before joining The Ohio State University, Chen was a tenure-track Assistant Professor at the University of Maryland, Baltimore County, and earned University Presidential Teaching Innovation Award. Outside of research and teaching, she enjoys serving as an area paper chair for IEEE VIS 2021 and 2022, a voting member of IEEE Visualization Academy, and the Vice Chair for Conferences on the IEEE Visualization and Graphics Technical Community (VGTC), with a mission to improve conference experiences for the graphics and visualization communities. Title of Talk: Understand data and AI to help the society Abstract: To democratize visualization and AI, especially to empower data-intensive domain scientists via intuitive uses of novel technical advances, I study means to advance use-inspired basic research to make technologies so usable that automating a task in a human-machine teaming fashion is made easier than performing or teaching the same task to a human and that humans learn from machines. In this talk, I will briefly present recent results integrating to continue to advance perceptually accurate visualizations to contribute to real-world uses in brain science and quantum physics. I will then discuss our new methods to understand AI leveraging systematic measurements. Finally, I will present the on-going effort on reverse engineering visualizations for AI training data preparation and acquisitions to benefit the public to learn from historical documents.
	Krishna P Miyapuram Associate Professor, Indian Institute of Technology, Gandhinagar Bio: Prof. Krishna Prasad Miyapuram is an Associate Professor at the Centre for Cognitive and Brain Sciences, Indian Institute of Technology Gandhinagar. He has two Master’s degrees in Electronics and Artificial Intelligence from India and a Ph.D. in Cognitive Neuroscience from the University of Cambridge, UK. After his Ph.D., he worked in Unilever R&D in the Netherlands and the University of Trento, Italy. His research interest is at the interface of artificial intelligence and neuroscience. He has experience with functional MRI and EEG methodologies and is currently having an India-Trento joint project on the early detection of Alzheimer’s disease. He has worked extensively in learning and decision-making research, neuroeconomics, and neuromarketing and is interested in understanding brain function in ecologically valid scenarios. Title of Talk: Brain Computer Interfaces for Reconstructing sensory experiences Abstract: Studying the brain function is a very fascinating and challenging area. Parallel and distributed processing of the brain has inspired the emergence of neural networks that has revolutionized the field of computer vision through deep learning architectures. Electrical activity of the Human brain can be tracked non-invasively by recordings by sensors placed on the scalp. The time series thus obtained can be at a very high resolution ranging from 128 Hz to 1000 Hz or even more – sufficient to capture the speed of cognitive processing of the brain. Human neuroscience traditionally uses laboratory-based experimentation that often has limited ecological validity. While we are far away from studying cognition in the wild, studying naturalistic scenarios offers a good middle ground. Listening Music, Watching movies and Meditation are three scenarios that this talk would focus on. Building upon traditional brain computer interfacing paradigms, we will talk about participant specific and cross-participant decoding of auditory and visual experiences that encode familiarity, pleasantness, and different emotions. The talk will extend covering more traditional tasks such as motor actions and covering recent work on Brain2Image decoding.
	Sridhar Devarajan Associate Professor, Centre for Neuroscience, Indian Institute of Science, Bangalore Bio: Sridharan Devarajan received his Bachelors & Masters degrees from the Indian Institute of Technology (IIT), Madras. He completed his PhD at Stanford University where, as a Stanford Graduate Fellow, he studied neural mechanisms of attention and executive control with functional neuroimaging. During his PhD he built neuromorphic computational models of the brain in the lab of Prof. Kwabena Boahen. He completed his post-doctoral training as a Dean’s Postdoctoral Fellow at Stanford’s School of Medicine with Prof. Eric Knudsen, investigating neural circuit mechanisms of attention. He joined the Centre for Neuroscience at IISc in November 2014, where he is now an Associate Professor, as well as an Associate Faculty in the Department of Computer Science and Automation. Recent awards include a SwarnaJayanti Fellowship (2021-25), a Pratiksha Trusts Young Investigator Award (2017-18), SERB Early Career Award (2017-19) and DBT Wellcome Trust India Alliance Fellowship (2016-2021). He is also a research consultant at Google. Title of Talk: Efficient remedies for outlier detection with deep generative models Abstract: Reliable outlier detection is critical for real-world applications of deep learning models. Likelihoods produced by deep generative models (DGMs), although extensively studied, have been largely dismissed as being impractical for outlier detection. For one, deep generative model likelihoods are readily biased by low-level input statistics. Second, many recent solutions for correcting these biases are computationally expensive or do not generalize well to complex, natural datasets. Here, we explore outlier detection with two state-of-the-art DGMs: Variational Autoencoders (VAEs) and PixelCNN++ models. We show that biases in VAE likelihoods can be readily attributed to the choice of decoder visible distribution. Similarly, biases in PixelCNN++ likelihoods arise primarily from predictions based on local dependencies. We propose simple corrections to ameliorate these biases. Our methods are theoretically motivated, computationally inexpensive and readily applied at evaluation time. We evaluate our approaches extensively with multiple grayscale and natural image datasets and show that they achieve or exceed state-of-the-art outlier detection performance. In sum, lightweight remedies suffice to achieve robust outlier detection on images with deep generative models. (In collaboration with Google Research, India).
	Vijay Bhaskar Semwal Assistant Professor, National Institute of Technology, Bhopal Bio: Vijay Bhaskar Semwal (Dr.) is working as Assistant professor (CSE) at NIT Bhopal since February 2019. Before joining NIT Bhopal he was working at NIT Rourkela. He has also worked with IIIT Dharwad as Assistant Professor (CSE) for 2 year (2016-2018) and he has also worked as Assistant professor (CSE) at NIT Jamshedpur . He has earned his doctorate degree in robotics from IIIT Allahabad (2017), M.Tech. in Information Technology from IIIT Allahabad (2010) and B.Tech. (IT) from College of Engineering Roorkee (2008). His areas of research are Bipedal Robotics, Gait Analysis and synthesis, Artificial Intelligence, Machine Learning and Theoretical Computer Science. He has published more than 15 SCI research papers. He has received early career research award by DST-SERB under government of India. His research areas are algorithm prospective of machine learning, artificial Intelligence, deep learning and bipedal robotics. He has delivered more than 35 talks. Currently he is working on human health monitoring using gait pattern, human activity recognition & reconstruction of impaired gait. Title of Talk: Moving toward Design of Data Driven IoT model using Deep learning(TinyML) for Human Activity Recognition using Abstract: This talk will cover the brief about IoT devices and it’s application in the healthcare domain. The main focus of talk will be the human activity data collection using an arduino nano 33 BLE sensor. The talk will further cover the concept of human gait and pattern. Tha talk will also provide the insight of a deep learning model using TnyML , Human Activity Recognition using gait data and implementation using compressed deep learning (TnyML)
	Bakul Gohel Assistant Professor, Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar Bio: Bakul Gohel has been an assistant professor at Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT) since 2018. He completed his PhD in the field of bio and brain engineering from Korea Advanced Institute of Technology and Science (KAIST), South Korea, in 2015. He received his master (M.Tech.) degree in the field of information technology (Spec. Bio-Informatics) from IIIT-Allahabad and his MBBS (Bachelor of Medicine and Bachelor of Surgery) degree from a government medical college, Surat, India. Before joining DA-IICT, he was a researcher at the Korea Research Institute of Science and Standards, South Korea, from 2015 to 2018. His current research interest lies in the field of biomedical image and signals analysis, deep learning architecture and its applications, bio-medical instrumentation, and brain signal analysis. Title of Talk: – Deep Learning and Medical Informatics Abstract: – Deep learning, a subfield of artificial intelligence, is gaining significant application in various industrial sectors, including healthcare. Complementary, data-driven deep learning-based technologies have excellent potential in the healthcare sector as hospitals increasingly adopt digitisation and storage of medical data. The present talk will briefly introduce the deep learning approaches, e.g. artificial neural networks (ANN) and convolutional networks (CNN) and their application to analyse various medical signal and image analyses. Additionally, we will discuss some use cases and various cautions that need to be verified while using and evaluating the deep learning approach for the healthcare sector.
	Dwijkumar Mistry Project Leader, Jajal Medical Services Pvt. Ltd. Bio: Dwijkumar Mistry has completed Bachelor of Engineering in E&C department from Sardar Vallabhbhai Patel Institute of Technology (SVIT, Vasad). Currently he is working with Jajal Medical services Pvt. Ltd., as a project lead in the software R&D department. Having more than 4 years of experience in NDT (Non Destructive Testing) software development and hardware integration, Medical 3D rendering software development, embedded software development, Computer Vision, Artificial Intelligence, Image processing and custom imaging filter design. He is passionate about creating equitable spaces in our tech community and wishes to contribute his technical knowledge to create a positive impact on society. Kiran Jadhav Manager, Jajal Medical Services Pvt. Ltd. Bio: Kiran Jadhav has completed Bachelors in bio medical from YTIET & Masters degrees in Instrumentations and control from the VESIT, Mumbai University. He did extensive research and published a paper on biomechanical analysis of the human upper limb. Currently he is serving in Jajal Medical services Pvt. Ltd., as a manager in the medical imaging department. Having 6 years of experience on design and developments of PSI (Patient Specific Instruments/Implant) for TKA (Total knee replacements), CMF(Cranio-maxillo facial) Surgeries. Worked extensively with Indian orthopedic surgeons in order to provide them with a customized segmentation solution for each case. Along with that he is working with a cross-functional team which included the software department, Manufacturers, Sales & Service, Marketing & logistic to provide customized pre operative solutions. Title of Talk: – Medical Intelligence and Extended Reality Abstract: – Technological innovation has presented new and promising ways to improve medical diagnosis, treatment, education, and healthcare service with ever-increasing rigor, subtlety, insight, and precision. In this talk we will talk about among these advanced technologies, artificial intelligence (AI) and extended reality (XR) are growing fast and making huge transformations in medicine and healthcare. Integrating AI and XR research can open many new possibilities towards achieving and delivering precision medicine for next-generation healthcare. Moreover, we will discuss applications of AI and XR in the medical imaging industry..

PhD Conclave

We invite advanced stage PhD work and completed the thesis (M. Tech. / M. S. thesis and U.G. high level research projects no older than 6 months). The selected abstract will be presented in the seminar to get valuable input from the experts. This will give aspiring students a platform to improve their work. Scholarships will be granted to students registering as a participant in the seminar and will be announced soon. (Confirmation to selected participants will be announced tentatively before 15 days of the seminar)

Interested candidate can email their Abstract to nascovip2022@gmail.com

Last Date of Submission: 10th November, 2022

Registration

Participation Category	Registration Fee
Physical Participation (Food and Welcome Kit Included)
IEEE Students Member	₹ 590
Non-IEEE Student Member	₹ 885
IEEE Professional Member	₹ 767
Non-IEEE Professional Member	₹ 1180
Virtual Participation
IEEE Students Member	₹ 354
Non-IEEE Student Member	₹ 531
IEEE Professional Member	₹ 472
Non-IEEE Professional Member	₹ 767

Registration fee includes 18% GST.
IEEE Membership Card is required in case of IEEE Member.
Valid Student ID card issued by institute is required in case of Student Registration.

Concession for student if registering in a group.

Student who are registering in group (group must be of at least 10 students) will get 20% discount for offline registration.
For group registration discounted registration fees will be Rs. 472 for IEEE Students Member and Rs. 708 for Non IEEE Student Member.
For gorup registration make a common payment per group and fill registration form for all the members with common payment receipt, Also send single email with details of all the students in a group as well as payment receipt to nascovip2022@gmail.com email address.

Accommodation: Hostel accommodation on charge basis would be available for participants in Marwadi University campus first come first serve basis.

Registration Process

Pay the above fees as per your category using below payment modes and save payment details.
After payment, fill the registration form using link (https://bit.ly/NaSCoViP-2022). (Keep payment detail, IEEE Membership Card (in case of IEEE Member) and Student ID Card (in case of Student) ready before filling the registration form.)

Mode of Payment: NEFT or IMPS

Registration Account Details

Bank Account Name: IEEE Gujarat Section
Bank Account Number: 10307643269
Bank Name: State Bank of India
Bank Branch: SBI, Infocity Branch
Address : Gr Floor, Infocity, Gandhinagar
Branch code: 012700
IFSC Code: SBIN0012700
MICR Code: 380002151

Registration Form Link: https://bit.ly/NaSCoViP-2022