Mission & Vision

Promote learning and system development in the field of Computer Vision and Biometrics. The research community will be constantly working to exchange ideas and become accustomed to the field through formal interactions with the experts of the domain. The lab will work as a channel to bring project funding from Government and Private sectors, which will facilitate member students, faculty and researchers to work on the real world problems in a collaborative environment.

Research Fields

Machine Learning

Computer Vision


Image Processing

Core Objectives

  1. The Lab will provide a platform to the students, faculty and research fellows to work together and initiate teaching and research activities in the area to unveil various concepts, and tools.
  2. The center will provide a common ground to the research community to discover challenges and possible solutions in computer vision.
  3. Teaching and learning will be the backbone of the future research activities, which would involve all stake holders.

The proposed center will contribute:
  1. In enhancing of quality education provided by Institute with emphasis on domain specific expertise.
  2. Grooming and Nurturing young talent willing to work in the field and facilitate with ample opportunities and guidance.
  3. In promoting research through investigating existing problems that can be solved with available tools and applications. 
  4. In identification of the problems where computer vision, machine learning and biometrics could serve as one of the best possible solutions 

The proposed Lab having the capability to:
  1. Establish infrastructure mostly through research funding.
  2. Leverage campus and state collaborations to that each benefits the other
  3. Provide seamless support between and among student service areas (including advising, tutoring, counseling, etc.),
  4. Productively involving both staff and faculty in these areas
  5. Expand into new, and emerging technologies
  6. Education, assessment, undergraduate research, etc.
  7. Collaborate with faculty, staff, students, community members, and programs engaged in related forms of experiential,
  8. Community-based teaching, learning, and scholarship, thereby helping to strengthen such efforts and generating new models.

Recent Updates

3rd IEEE CVMI 2024 Conference
CVB Lab is organizing the 3rd IEEE International Conference on Computer Vision and Machine Intelligence (CVMI) ...
Oct 19-20, 2024
Best Poster Award
Congratulations to Authors of 3D-ConvSST paper for Best Poster Award in IEEE Conference on Artificial Intelligence ...
June 2024
IEEE SPL Associate Editor
Congratulations to Dr. Satish Kumar Singh for becoming the Associate Editor of IEEE Signal Processing Letters ...
June 2024
ADASIVA 2023 - Short Term Course
CVB Lab is organizing the 6th STC on Advances in Deep Architectures for Signal, Image and Vision Applications (ADASIVA) ...
Oct 30-Nov 03, 2023
IEEE CIS CADLA 2023 Summer School
IEEE CIS Summer School on Computational Advances in Deep Learning and Applications (CADLA) is a one week short-term course organized by CVBL at IIITA ...
July 17-21, 2023
PhD Thesis Defense
Congratulations to Dr. Nand Kumar Yadav for defending his PhD thesis ...
June 07, 2023
Quad Fellowship Award
Congratulations to Priyam Pandey, Research Scholar for receiving the prestigious Quad Fellowship Award ...
Feb, 2023
Paper Published at WACV 2023
AdaNorm optimizer paper is published by IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Core A conference) ...
Aug, 2022
CVMI 2022 Conference
CVB Lab has successfully organized the International Conference on Computer Vision and Machine Intelligence (CVMI) ...
Aug, 2022
ADASIVA 2022 Summer School
CVB Lab has successfully organized the 5th Summer School on Advances in Deep Architectures for Signal, Image and Vision Applications (ADASIVA) ...
Aug, 2022

Funding & Collaboration

CVBL has been involved in cutting-edge research and development activities very actively. Several short-term specialized courses (such as ADASIVA Series, Biometric Winter School, etc.) have been also organized by CVBL to train the manpower in the emerging areas. In order to provide the plateforms for the researchers to disseminate their research findings, CVBL has been involved in organization of internationally recognized scientific conferences, such as CVIP, CVMI, and UPCON. All these activities have been possible only due to the continuous supports from the funding agencies and collaborators.


International Collaborators

Industry Collaborators


5322, Third Floor, Computer Center (CC-3)

Indian Institute of Information Technology - Allahabad

Devghat, Jhalwa, Allahabad-211015, Uttar Pradesh, INDIA