CV4Smalls

Computer Vision with Small Data:
A Focus on Infants and Endangered Animals

๐Ÿ“ฃ๐Ÿ“ฃExciting Announcement! If you’re working with a small set of visual data focusing on humans and animals, and you have a cutting-edge model with compelling results to showcase, we invite you to contribute to our upcoming special issue at Multimedia Tools and Applications. For more detail please see here.
For pre-submission inquiries, feel free to reach out to Dr. Ostadabbas.

๐Ÿ“ข๐Ÿ“ข Exciting News! We’re thrilled to announce that our keynote speakers, Dr. Michael Black and Dr. Sara Beery, will be presenting in person at our upcoming workshop on January 7th. Get ready for an insightful and engaging talk from these esteemed experts. Stay tuned for the full schedule, and mark your calendars for a day of enriching discussions and knowledge-sharing. You won’t want to miss this!

๐Ÿ“ฃ๐Ÿ“ฃWe have received many requests to extend our CV4Smalls Workshop deadline to the end of October.
Updated Deadline: Oct 31st, midnight anywhere in the world.

We are thrilled to announce that we will have Dr. Michael Black as our keynote speaker for the Workshop! Stay tuned for more details and event updates.

Exciting News: Dr. Sara Beery Joins Workshop as Second Keynote Speaker!

๐Ÿ“ฃ Important Update: Full-Day Workshop on January 7th! ๐Ÿ—“๏ธWe are delighted to announce that our upcoming workshop has been expanded to a full-day event, providing you with even more opportunities for learning, networking, and engagement. Mark your calendars for this extended workshop day on January 7th.

๐Ÿ“ข Submission Now Open! ๐Ÿ“We are excited to announce that the paper submission link is now live and ready to accept your valuable contributions. ๐Ÿ”— Submit Your Paper Here

In conjunction with WACV2024 , Jan 7, 2024

Conference overview

The CV4Smalls workshop is dedicated to exploring the challenges and innovations in applying computer vision techniques to scenarios where data is limited, with a specific emphasis on infants and endangered animals. As these domains present unique data constraints, the workshop aims to foster discussions and solutions that overcome these challenges and leverage computer vision for data-critical applications.

Privacy Statement: Infant Image Data
The collection and usage of infant image data under Institutional Review Board (IRB #22-11-32) at Northeastern University strictly adhere to the highest ethical standards. Parental consent is diligently obtained to ensure that images can be publicly released for research and publication purposes. We prioritize the confidentiality and privacy of both the infants and their families, taking comprehensive measures to safeguard sensitive information. All data handling and sharing are in full compliance with applicable data protection regulations, ensuring that the data remains secure and accessible only to authorized personnel for research purposes.

Topics of Interest:

-Transfer Learning, Domain adaptation

– Learning with Weak or No Supervision

– Zero-Shot and Few-Shot Learning

– Active and Continual Learning

– Learning with Data Augmentation: Data-Driven Generative Models

– Learning from Synthetic Data: Physics-Based Simulation

– Multi-Task and Meta Learning

– Learning with Enforced Structured Prior Knowledge

Applications of Interest:

– Infant/Animal Image Segmentation, Registration, and Classification

– Infant/Animal 2D or 3D Pose Estimation, and Posture Classification

– Infant/Animal Facial Landmark Detection and Tracking

– Infant/Animal Action Recognition

– Infant/Animal Multi-View Multi-Subject Tracking

– Infant/Animal 3D Body Reconstruction, Image/Motion/Video Generation

Important Dates:

Paper Submission Deadline:22nd October, 2023 31st October, 2023, November 3rd, 2023

Notification of Acceptance: 9th November, 2023 , 13th November, 2023

Camera-Ready Deadline: 19th November, 2023

Workshop Date: 7th January, 2024

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