ICVGIP 2025

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Indian Conference on Computer Vision, Graphics and Image Processing

Dec 17 - 20, 2025

Organized by IIT Mandi, Himachal Pradesh

Updates


Paper submission date is extended to 30th July. Call for tutorials is now online.

About The Conference

Welcome to ICVGIP 2025

The Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP) is India’s premier conference in Computer Vision, Graphics, Image Processing, and related fields. Since its inception in 1998, ICVGIP served as a biennial international conference until 2021, providing a platform for presenting technological advancements and research findings in these domains. With the significant growth in the community, the conference transitioned to an annual event starting in 2022.

ICVGIP 2025, the 16th conference in this distinguished series, will be organized by IIT Mandi in association with the Indian Unit for Pattern Recognition and Artificial Intelligence (IUPRAI), an affiliate of the International Association for Pattern Recognition (IAPR). ICVGIP continues its mission of fostering a vibrant community of researchers and enthusiasts in computer vision, graphics, and image processing, both in India and globally. Each annual conference strives to uphold this commitment, and ICVGIP 2025 promises to carry forward this tradition.


Join Us at IIT Mandi

Nestled in the serene landscapes of Himachal Pradesh, ICVGIP 2025 invites you to engage in cutting-edge research while surrounded by natural beauty that inspires brainstorming, meaningful exchanges, and fruitful collaborations.

Important Dates

Paper Submission Deadline: 30th July 2025 (AOE)
Reviews released to Authors: 10th September 2025
Rebuttal Due: 15th September 2025
Paper Acceptance Notification: 20th September 2025
Camera Ready Submission: 27th September 2025
Early Bird Registration: TBD
Late Registration: TBD
Last date for Registration: TBD
Conference: 17-20 December 2025

Call For Papers

The Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP) stands as India’s foremost conference in the areas of Computer Vision, Graphics, Image Processing, and allied fields. Established in 1998, it was held biennially until 2021, serving as a premier international platform for presenting technological innovations and research breakthroughs. The 16th edition, ICVGIP 2025, will be hosted by IIT Mandi, in collaboration with the Indian Unit for Pattern Recognition and Artificial Intelligence (IUPRAI), an affiliate of the International Association for Pattern Recognition (IAPR). Recognizing the rapid growth of the community, ICVGIP has been held annually since 2022. The conference is committed to nurturing and strengthening the community of researchers and practitioners in computer vision, graphics, and image processing both within India and globally. We endeavor to uphold this commitment at every edition of the conference.


We invite high-quality, original and unpublished papers in the broad areas of computer vision, graphics, and image processing including, but not limited to:

  • Segmentation
  • Texture, Shape, Color
  • Restoration, Enhancement
  • Visual Tracking
  • Motion and Video Analysis
  • Explainable Vision Systems
  • Compressive Sensing
  • 3D Reconstruction
  • Object and Pattern Recognition
  • Machine Learning for Vision and Graphics
  • Medical Image Analysis
  • Biometrics
  • Virtual/Augmented Reality
  • Human-Computer Interaction
  • Vision for Robotics and Autonomous Vehicles
  • Computational Imaging
  • Sensors and Modelling
  • Vision-Based Graphics
  • Activity Recognition
  • Shape from X
  • Vision for Digital Heritage
  • Shape Analysis
  • Real-Time Graphics
  • Animation and Rendering
  • Scientific Visualization
  • Document Image Analysis
  • Remote Sensing
  • Scene Understanding
  • Statistical Methods & Optimization
  • Vision+Language
  • Vision and Graphics for Society
  • Applications of Vision and Graphics

The Microsoft CMT service is used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.


The review process will be double-blind.



The proceedings of the ICVGIP 2025 will be published in the ACM International Conference Proceedings Series (ICPS).

Important update on the new ACM open access publishing model for ICPS!

ACM has introduced a new open access publishing model for the International Conference Proceedings Series (ICPS). Authors based at institutions that are not yet part of the ACM Open program will be required to pay an article processing charge (APC) to publish their ICPS article in the ACM Digital Library, unless one of their co-authors' institutions is a member or they qualify for a waiver. To determine whether or not an APC will be applicable to your article, please follow the detailed guidance here: https://www.acm.org/publications/icps/author-guidance

For 2025, ACM is subsidizing APC pricing for ICPS as follows:

  • The 2025 subsidized APC rate for ICPS papers will be $350.
  • For papers where any of the authors is a member of ACM, the APC rate will be $250.
  • For ICPS papers whose corresponding author is based in a lower-middle-income country, the APC rate will be $175.
  • For ICPS papers whose corresponding author is based in a lower-middle-income country and where any of the authors is a member of ACM, the APC rate will be $125.
  • For ICPS papers whose corresponding author is based in a low-income country, no APC is required.

Further information may be found on the ACM website:

If you do not have access to APC funding or otherwise qualify for an APC waiver, you may be eligible for a needs-based waiver. To request a needs-based waiver, please follow the instructions below https://www.acm.org/publications/policies/policy-on-open-access-apc-waivers-and-discounts

Registration Fees

India

Category Early Registration Late Registration
Students INR 4,400 + 18% GST INR 5,400 + 18% GST
Faculty / Researcher INR 7,700 + 18% GST INR 8,700 + 18% GST
Industry INR 13,200 + 18% GST INR 14,200 + 18% GST

Abroad

Category Early Registration Late Registration
Students USD 220 + 18% GST USD 270 + 18% GST
Faculty / Researcher USD 330 + 18% GST USD 380 + 18% GST
Click Here for Bank Details

Author Guidelines

  • Ensure submitted manuscripts are original and not under review elsewhere to avoid rejection without review.
  • Manuscript Preparation:
    • Double-Blind Policy: Avoid revealing authors' identities through names, acknowledgments, or references.
    • Concurrent Submission Policy: No overlap exceeding 20% with prior or concurrent publications. Contact Program Chairs for clarifications on borderline cases.
    • Policy on Arxiv and Technical Reports: Technical reports not peer-reviewed are not considered prior art.
    • Manuscripts must be uploaded as PDF files (20MB max). Use the LaTeX template provided or the Word template if necessary.
    • Limit manuscripts to 8 pages (including text and figures) excluding references. Extra references are allowed on additional pages.
    • Optional supplementary material may include images, videos, and documents (50MB max).

  • Submission Process:
    • Submit papers online via the CMT3 submission portal.
    • Provide Title, Abstract, Authors, and Subject Areas during registration.
    • Generate and note the Paper ID after registration.
    • Use LaTeX for typesetting papers into PDF format. Download the LaTeX template (ZIP).
    • Rename the file as PaperID.pdf before uploading.
    • Upload supplementary material (optional) as a single .zip archive or specific file formats (doc, docx, pdf, pptx, mp4).

  • Submission Guidelines:
    • Submit manuscripts and supplementary materials via the CMT portal before the deadline.
    • Include the assigned Paper ID in the manuscript before uploading.
    • An early decision phase will assess submissions for scope and quality. Out-of-scope or low-quality papers may be rejected early.

Workshops

*To be updated .


Plenary Talks

Prof. Paul M Thompson

Prof. Paul M Thompson

Paul Thompson is a British-American neuroscientist and mathematician who develops advanced AI and mathematical models to map the human brain, integrating large-scale multimodal data to quantify disease processes. As Associate Director of USC’s Stevens Neuroimaging & Informatics Institute in Los Angeles, he leads national and global projects that combine deep learning, statistical genomics, and multi-resolution structural, diffusion, and functional MRI to dissect brain organization and pathology. His group builds explainable and generative AI systems—including latent diffusion models, flow-matched transformations, and continuum mechanics frameworks—to characterize normative and pathological brain changes, microstructure, and connectivity across more than 30 diseases. His team also develops vision-language models to support data-driven radiologic interpretation.
Thompson directs the $18M NIH-funded AI4AD initiative on machine learning prediction of Alzheimer’s trajectories and co-founded ENIGMA, the largest brain imaging-genetics consortium worldwide, analyzing data from over 200,000 individuals across 45 countries, with over 2,000 participating scientists. ENIGMA’s work has produced the largest international MRI-genetic studies of schizophrenia, depression, anorexia, epilepsy, and Parkinson’s, uncovering multiscale biomarkers of disease risk and progression. Ranked among the world’s most cited scientists (h-index=220), Thompson has published over 1,000 papers and delivered keynote lectures such as the Talairach Lecture at OHBM. His honors include the Gold Medal from the Society of Biological Psychiatry, and with colleagues at NIMHANS (Bangalore), he co-leads the India ENIGMA Initiative to understand drivers of human brain aging and dementia.

Prof. Nicu Sebe

Prof. Nicu Sebe

Title: Cross-modal generation and understanding of multimodal content

In the first part of the presentation, we will present our work on video generation without annotations or prior object-specific information. Trained on videos of similar objects (e.g. faces, bodies), our method generalizes across the category. Building on this, we introduce a Learnable Game Engine (LGE), trained from monocular annotated videos, that maintains scene and object states and renders environments from controllable viewpoints. Like a game engine, it simulates physics and logic, allowing users to control the game play or use a director mode to guide agents via high-level language and goals, enabled by learned game AI. The second part will investigate the safety and fairness of the current generative models. While most of the existing research focuses on detecting closed sets of biases defined a priori, we tackle the challenge of open-set bias detection in text-to-image generative models. For this we proposed OpenBias, a new pipeline that agnostically identifies and quantifies the severity of biases without access to any precompiled set. We study the behavior of Stable Diffusion 1.5, 2, and XL emphasizing new biases, never investigated before. Via quantitative experiments, we demonstrate that OpenBias agrees with current closed-set bias detection methods and human judgement.

Nicu Sebe is a professor in the University of Trento, Italy, where he is leading the research in the areas of multimedia information retrieval and human-computer interaction in computer vision applications. He received his PhD from the University of Leiden, The Netherlands and has been in the past with the University of Amsterdam, The Netherlands and the University of Illinois at Urbana-Champaign, USA. He was involved in the organization of the major conferences and workshops addressing the computer vision and human-centered aspects of multimedia information retrieval, among which as a General Co-Chair of the IEEE Automatic Face and Gesture Recognition Conference, FG 2008, ACM International Conference on Multimedia Retrieval (ICMR) 2017 and ACM Multimedia 2013. He was a program chair of ACM Multimedia 2011 and 2007, ECCV 2016, ICCV 2017, ICPR 2020 and a general chair of ACM Multimedia 2022. He is a PC of CVPR 2027 and a GC of ACM Multimedia 2027 and ECCV 2028. He is a fellow of ELLIS, IAPR and a Senior member of ACM and IEEE. He is the co-editor in chief of Computer Vision and Image Understanding journal.

*To be updated*

*To be updated*

Host


Sponsorship

The Indian Conference on Computer Vision, Graphics, and Image Processing (ICVGIP) stands as India's premier forum for these dynamic fields. Since its inception in 1998, ICVGIP has been a crucial platform for showcasing cutting-edge technological advancements and pivotal research findings. The upcoming 16th ICVGIP 2025 is proudly hosted by IIT Mandi in collaboration with the Indian Unit for Pattern Recognition and Artificial Intelligence (IUPRAI), an affiliate of the esteemed International Association for Pattern Recognition (IAPR). Renowned for nurturing a vibrant community of researchers and enthusiasts both domestically and internationally, ICVGIP transitioned to an annual cadence in 2022, a testament to the significant expansion of this community. ICVGIP 2025 continues to embody our unwavering commitment to the evolving landscapes of computer vision, graphics, and image processing. The conference offers a dynamic environment for academics and industry experts to converge, exchange insights, and explore the latest innovations shaping these domains.

ICVGIP has consistently cultivated strong industry relationships and actively encourages engagement from diverse sectors. The conference presents multifaceted opportunities for industry participation, spanning the technical program, specialized research symposiums, and exhibitions. By engaging with ICVGIP as a sponsor, organizations not only gain significant visibility but also acquire the chance to influence the trajectory of these rapidly progressing fields. We earnestly encourage companies and R&D laboratories to present their groundbreaking work and actively connect with the community at ICVGIP. This engagement is not only invaluable for fostering networking and knowledge dissemination but also pivotal in molding the future directions of computer vision, graphics, and image processing. We offer a spectrum of sponsorship tiers, detailed below, each accompanied by a corresponding allocation of complimentary registrations as outlined below:


Platinum

Sponsorship cost

INR 10 Lakh


Includes
  • 10 Complimentary Passes
  • Website Branding
  • Brochure Branding
  • Industry Session
  • Stall
Diamond

Sponsorship cost

INR 5 Lakh


Includes
  • 5 Complimentary Passes
  • Website Branding
  • Brochure Branding
  • Industry Session
  • Stall
Gold

Sponsorship cost

INR 3 Lakh


Includes
  • 3 Complimentary Passes
  • Website Branding
  • Brochure Branding
  • Industry Session
  • Stall
Silver

Sponsorship cost

INR 1 Lakh


Includes
  • 2 Complimentary Passes
  • Website Branding
  • Brochure Branding
  • Industry Session
  • Stall
Bronze

Sponsorship cost

INR 50 Thousand


Includes
  • 1 Complimentary Passes
  • Website Branding
  • Table
Awards & Session Sponsorship

Sponsorship cost

Contact Sponsors


Includes
  • 1 Complimentary Passes
  • Website Branding
For sponsorship queries please contact:

COMMITTEES

Patron

Steering Committee

General Chairs

Program Chairs

Local Organising Committee

Sponsorship Chairs

Publication Chairs

Dr. Abir Das
Dr. Abir Das

IIT Kharagpur

Dr. Shanmuganathan Raman
Dr. Shanmuganathan Raman

IIT Gandhinagar

Workshop Chairs

Dr. Charu Sharma
Dr. Charu Sharma

IIIT Hyderabad

Tutorial Chairs

Prof. Anoop Namboodiri
Dr. Angshuman Paul

IIT Jodhpur

Prof. A.N. Rajagopalan
Dr. Debaditya Roy

IIT Kharagpur

Tiny Paper Track Chairs

Publicity Chair

Raj Sharma
Raj Sharma

Walmart Global Tech

Plenary Chair

Dr. R Venkatesh Babu
Prof. R. Venkatesh Babu

IISc Bangalore

Industry Session Chair

lipika_dey
Prof. Lipika Dey

Ashoka University

Venue

The conference will be held at IIT Mandi's North campus in Kamand, Mandi District, Himachal Pradesh, India. Please read about the geography of this location here. The location is very close to a number of very popular tourist attractions.

Venue

Nearby Places to Visit

IIT Mandi is surrounded by several scenic and culturally rich tourist spots, perfect for exploration.

Parashar Lake

Parashar Lake

A serene lake with views of the Dhauladhar range, located 32 km from IIT Mandi. Perfect for a peaceful retreat in nature.

Rewalsar Lake

Rewalsar Lake

A religiously significant and scenic lake located 45 km from IIT Mandi, popular with both tourists and pilgrims.

Kullu & Manali

Kullu & Manali

Famous hill stations known for adventure, natural beauty, and vibrant culture, located around 55-95 km from IIT Mandi.

Bir Billing

Bir Billing

Renowned for paragliding and Tibetan monasteries, located 75 km from IIT Mandi.

Barot Valley

Barot

A tranquil valley with lush green landscapes, located around 70 km from IIT Mandi.

Sissu Waterfall

Sissu Waterfall

A breathtaking waterfall in the Lahaul region, located about 40 km from Manali.

Get In Touch

  • Email Address

    [email protected]

  • Location

    IIT Mandi North Campus

    Parashar Road, Tehsil Sadar, Near Kataula, Kamand, Himachal Pradesh 175005