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Dear Community Members,
To promote communication and development in the field of low-level vision and to build a more open and dynamic information-sharing platform, we sincerely invite you to join us!
If you have the latest research achievements (new breakthroughs, publications, technical reports, or open-source projects in low-level vision), important academic opportunities (master’s/Ph.D. admissions, postdoctoral openings, or visiting scholar programs at your university or research institute), or valuable industry updates (corporate recruitment, project collaboration needs, or industry insights related to low-level vision), we warmly welcome you to share this information with the wider community through our platform!
Submission Guidelines:
You may submit your message via the message board on the right or contact us directly by email at chenxiang@njust.edu.cn.
Please provide a clear and concise summary of the core content you wish to share (e.g., paper title and link, key positions and requirements for recruitment, etc.), along with your valid contact information. After receiving your submission, we will reach out to you within one working day (24 hours) to verify and refine the details to ensure accuracy and completeness. Verified information will be published promptly in the appropriate section of our platform to benefit the entire low-level vision research community.
Every contribution you make is a valuable step toward the growth of our community!
We look forward to gathering wisdom and strength from both academia and industry to jointly drive innovation and progress in low-level vision research.
Thank you once again for your attention and trust in our platform.
The ENTROVISION Team
About Us | Collaborative Team of the Community Service Platform
[Papers] Qiyuan Guan
[Datasets] Hongming Chen
[Competitions] Qianfeng Yang
[Journals] Tianyu Song
[Workshops] Qianfeng Yang
[Recruitments] Hao Li, Junyang Chen, Zhongbao Yang, Ke Wu
[Overseas Operations] Baiang Li, Xin Lin