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ICCVML · Registering as Author / Presenter

International Conference on Computer Vision and Machine Learning

8th Oct – 9th Oct 2026 Berlin, Germany Standard / Author / Presenter Participation
Author / Presenter Registration
$160
virtual · $220 in person
Registration Benefits:

Official invitation letter

Issued automatically after registration

Certificate & digital materials

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Supporting global research

Connect with researchers across 30+ countries

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All sessions Networking Certificate Invitation letter Conference kit

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Rules and Regulations (Read Carefully before registration)
1.1 For paper Submission and Publication in ASAR Conferences:
  1. All Authors and Co-authors must inform their respective Dept. Head/Principal/Guide about the paper submission of papers into ASAR Conferences.
  2. ASAR accepts each paper for conference after doing the review by two internal or external ASAR Reviewers.
  3. ASAR never publishes any unregistered paper.
  4. ASAR is not responsible for identifying the original author or co-author of the paper. The person who submits the paper will be taken as the original author of the paper.
  5. In any case if ASAR receives the complaint about the originality of the author and it is found to be true the paper will be suspended from the publication immediately.
  6. ASAR can’t republish or distribute any suspended paper from the date of suspension.
1.2 Attending ASAR International Conferences:
  1. All participants should register before coming to the conference by paying the specified amount mentioned at the registration menu on the website.
  2. The Organizer has all the rights to change the venue and date at any time before the conference at any time. If the organizing Committee decides to change the venue and Date of Event, all delegates will get the information via their registered email ID.
  3. ASAR will be not responsible for any kind of financial loss due to any ticket cancellation or any bookings of the registered participants if the conference gets format change from physical to virtual or rescheduled to another place or date at any time.
  4. If at any time the author does not want to attain the conference and cancel the registration then no money will be refunded.
  5. ASAR has all rights reserved, not to refund any money to the registered author or co- author who attended the conference and accepts the publication/ certificate during or after the conference at any time.
  6. If the Author is unable to attend the conference for any personal reason,then the co-Authors should attend the conference. No refund will be encouraged.
1.3 Cancellation & Refund Policy:
  1. Registration Cancellation will be accepted if the registrant/ participant did not receive the official invitation letter. If the registrant/ participant receives the official invitation letter then the registrant/ participant is not eligible to claim refund.
  2. A full refund is applicable only if the registrant/ participant requests for a refund before 70 days from the conference date and the cancellation form needs to be submitted before 60 days from the conference date.
  3. If the cancellation request is raised in 30 days or less than 30 days from the conference date, then the registrant/ participant is not eligible for a refund. However, the registrant/ participant will receive a credit for the fee and the credit will be valid for a period of one year from the time of their registration.
  4. If the cancellation request is raised between 60-30 days from the conference date, the registrant/ participant will be eligible for a partial refund from the registration fee received. Charges will be included in case if the registrant/ participant received any document from the organization.
  5. If the registrant/ participant completed the registration less than 30 days from the conference date, no refund will be applicable. They will have only the conference switch option, since the registration fee will be valid for one year, the registrant/ participant can use the credit and choose any other international conference within the one-year period.
  6. If the registered participant cannot attend the conference for any personal reason, the registration fee will not be refunded. However, the fee will be considered as a credit to participate in any of our international conferences within one year from the date of registration.
  7. If the conferences are scheduled in a hybrid format the organizer has all the rights to conduct the conference in physical or virtual format. The refund is not applicable for the format changes.
  8. Virtual Participation registrations are non-refundable
1.4 Travel and Accommodation Responsibilities:
  1. ASAR will never take responsibility for making and managing travel arrangements, including flights, transportation, and accommodation, and lies solely with the individual participant.
  2. In the event of any changes to the conference format, cancellation, or venue adjustments, the organizers cannot assume responsibility for any costs incurred by participants for travel or accommodation.
  3. The registration fees paid by the registrant/ participant does not include any travel and accommodation charges.
1.5 Transfer of registration:
  1. All fully paid registrations are transferable to other persons from the same organization/Institution if the registered person is unable to attend the event. Registration form should be submitted.
  2. Transfers must be made by the registered person in writing to [email protected]. Details must be submitted through the registration form at the earliest with reference to the previous registration details and attested by the cardholder signature for the transformation confirmation.
  3. All other registration details will be assigned to the new person unless otherwise specified. Registration can be transferred from one conference to another conference of the same organizer if the registrant is unable to attend one of the conferences.
  4. However, Registration cannot be transferred if it is intimated within 14 days of the respective conference. The transferred registrations will not be eligible for Refund.
1.6 Visa Information:

The organizer will not directly contact embassies and consulates on behalf of visa applicants. All delegates or invitees should take responsibility for their visa and travel arrangements. Important note for failed visa applications: Visa issues cannot come under the consideration of the cancellation policy of the organizer, including the inability to obtain a visa.

For participants who register close to the conference date or after the registration deadline mentioned in Important dates, your registration will be considered for virtual participation only, as the conference is in hybrid mode. However, you will be eligible to attend one more international conference based on your registration category

**To be Noted:

  1. All cancellations or modifications of registration must be made in writing to [email protected]
  2. All the participants are aware of these terms and conditions before completing the conference fee transaction and registration completion.
  3. We do not initiate any auto debit. All the transactions are completed by the participants on their own with their interest only after reviewing the terms and conditions of the ASAR organization.
  4. After completion of the registration the participant/ registrant needs to submit the conference registration form within 3 days from the date of registration completion. The registration form will be available on the event page. If the participant/ registrant did not submit the registration form, the participant for the event will not be confirmed.
  5. Please do not book your travel arrangements until you receive the official conference program details. These details will be sent via email 15 days before the conference date.
1.7 Conference Programme and Participation Policy:

The Organiser may group complementary research contributions across academic disciplines within a common interdisciplinary or multidisciplinary conference format to encourage constructive discussion, networking, and joint opportunities.

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Registration summary

ConferenceICCVML
ModeStandard / Physical
ParticipationAuthor / Presenter
Registration fee$220.00
Bank charges (5.8%)$12.76
Total payable $
Includes all bank processing charges — the amount above is exactly what will be charged.

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Benefits of Registering as Author / Presenter

Access to Conference Sessions

Networking Opportunities

Certificate of Participation

Invitation Letter Support

Conference Kit / Materials

Access to Keynote Sessions

Conference Session Tracks

Sustainable Development Goals

SDG-Aligned Research Themes

ASAR conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 3: Good Health and Well-being SDG 4: Quality Education SDG 8: Decent Work and Economic Growth SDG 9: Industry, Innovation and Infrastructure SDG 11: Sustainable Cities and Communities
01 Advancements in Convolutional Neural Networks +
This track focuses on the latest developments in convolutional neural networks (CNNs) for computer vision applications. Researchers are invited to present novel architectures, optimization techniques, and performance evaluations of CNNs in various domains.
02 Innovations in Image Recognition and Classification +
This session will explore cutting-edge methods for image recognition and classification, emphasizing the role of machine learning algorithms. Contributions that highlight real-world applications and comparative studies are particularly encouraged.
03 Object Detection Techniques and Applications +
This track aims to discuss state-of-the-art object detection techniques, including both traditional and deep learning approaches. Papers that address challenges in real-time detection and applications in autonomous systems are welcome.
04 Feature Extraction and Selection Methods +
This session will delve into advanced feature extraction and selection methodologies crucial for enhancing machine learning performance. Contributions that propose innovative techniques or frameworks for feature engineering are highly sought after.
05 Segmentation Algorithms in Computer Vision +
This track will cover the latest segmentation algorithms, focusing on their applications in various fields such as medical imaging and autonomous driving. Researchers are encouraged to present novel approaches and comparative analyses of segmentation techniques.
06 Video Analysis and Processing Techniques +
This session will focus on methodologies for video analysis, including motion detection, tracking, and event recognition. Contributions that explore the integration of machine learning with video processing are particularly encouraged.
07 Anomaly Detection in Visual Data +
This track will address innovative approaches to anomaly detection in visual data, highlighting the importance of machine learning in identifying outliers. Papers that discuss applications in security, healthcare, and industrial monitoring are welcome.
08 Deep Learning Architectures for Visual Analytics +
This session will explore deep learning architectures specifically designed for visual analytics, emphasizing interpretability and usability. Researchers are invited to present frameworks that bridge the gap between deep learning and practical analytics.
09 Transfer Learning in Computer Vision +
This track will focus on the application of transfer learning techniques in computer vision tasks, discussing both theoretical and practical implications. Contributions that demonstrate successful case studies or novel methodologies are encouraged.
10 Unsupervised and Reinforcement Learning Approaches +
This session will explore the use of unsupervised and reinforcement learning in computer vision applications, emphasizing innovative algorithms and their effectiveness. Papers that present empirical results or theoretical advancements are welcome.
11 Pattern Recognition and Visual Perception +
This track will delve into the intersection of pattern recognition and visual perception, focusing on how machine learning can enhance understanding of visual data. Contributions that explore cognitive aspects and computational models are particularly encouraged.
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