Achievements
Community
Corporate Projects
Exchange
Field Trips & Visits
Internship & Career
Undergraduate
Office
Research
Seminars & forums
Student Activities
T&M-DDP
Postgraduate
EVMT
Innovation
Entrepreneurship
Sustainability
Engineering
Environment
Air Quality
GBA
PublicPolicy
ENVR
PPOL
Teaching&Learning
Technology
Research and Technology
Greater Bay Area
IIM
Fintech
Research and Innovation
ISD Research Team Produces the First Model to Segment and Generalize Coral Reef Image
28/03/2024
Thumbnail
Congratulations to Prof. Sai-Kit YEUNG and Ms Haixin Liang (Mphil student of ISD) for getting their groundbreaking research paper accepted at one of the top-tier conferences - IEEE/CFV Computer Vision and Pattern Recognition 2024.
Congratulations to Prof. Sai-Kit YEUNG and Ms Haixin Liang (Mphil student of ISD) for getting their groundbreaking research paper accepted at one of the top-tier conferences - IEEE/CFV Computer Vision and Pattern Recognition 2024.

#shiningwithoutboundaries

 

Congratulations to Prof. Sai-Kit YEUNG (Associate Professor, Division of Integrative Systems and Design) and Ms Haixin Liang (Mphil student of ISD) for getting their groundbreaking research paper accepted at one of the top-tier conferences - IEEE/CFV Computer Vision and Pattern Recognition 2024. The research team presents the first foundation model for coral image segmentation and has hopes to turn it into a new standard tool for coral visual research. 

 

Coral is one of the key indicators of marine research due to coral’s rich biodiversity and sensitivity to small environmental changes. However, segmenting coral is no easy task due to its irregular boundaries and degraded water quality. Therefore, underwater coral visual understanding has gained increasing attention within the computer vision community. Prof. YEUNG and his team introduced CoralSCOP, the first foundation model that can segment dense coral reef automatically and has strong generalization ability to project the full image of coral reef. The model also offers user-defined tuning and sparse-to-dense conversion for precise coral statistics. To maximize its usage, the team also incorporated mask-referring segmentation and instruction-following segmentation so that both amateurs and advanced researchers could master the model. 

 

Computer Vision and Pattern Recognition Conference (CVPR) ranks top on Research.com’s 2023 Best Computer Science Conference List. Getting the paper accepted here recognizes the innovation of ISD and Prof. Yeung’s team. The research results contribute to human capacity in underwater computer vision research and signify HKUST’s advanced ability in Marine AI research. 

 

For more information about CoralSCOP, please visit the website: https://coralscop.hkustvgd.com
 


Congratulations to Prof. Sai-Kit YEUNG and Ms Haixin Liang (Mphil student of ISD) for getting their groundbreaking research paper accepted at one of the top-tier conferences - IEEE/CFV Computer Vision and Pattern Recognition 2024.
SHARE
TAGS
Engineering
Innovation
Research and Technology
Technology
Achievements
Research