fudan university| China

Author Profile 

• • scholar

Early Academic Pursuits 🎓

Education and Training

She, born and raised in Longsha District, Qiqihar City, Heilongjiang Province, has always demonstrated an exceptional aptitude for academic excellence. From an early age, Cai showed a keen interest in technology and innovation, a passion that only grew stronger with time. After completing high school at Qiqihar Middle School, Cai pursued a Bachelor’s degree in Internet of Things Engineering at the School of Software, Nanyang Normal University, from 2015 to 2019. During this period, Cai not only excelled academically but also actively participated in various competitions and research projects, laying a solid foundation for future academic and professional endeavors.

 Professional Endeavors 💼

Academic Positions

Her embarked on a professional journey that seamlessly integrated with ongoing academic pursuits. From 2020 to 2022, Cai pursued a Master’s degree in Computer Technology at the School of Information Engineering, Ningxia University. During this time, Cai contributed significantly to the academic community by assisting teachers in reviewing high-profile articles for conferences and journals such as CVPR, ICCV, TIP, and TIFS. Cai’s dedication and expertise were further recognized with a series of scholarships and awards, marking the beginning of a promising career in the field of electronic information engineering.

In August 2022, Cai began a Ph.D. program in Electronic Information Engineering at the School of Information Science and Engineering, Fudan University. This transition to Fudan University marked a significant milestone in Cai’s academic journey, providing opportunities to engage in advanced research and collaborate with leading experts in the field.

Contributions and Research Focus on artificial intelligence (AI)📚

• her research interests lie primarily in the domains of Computer Vision, 3D Reconstruction, and 3D Generation. Over the years, Cai has made substantial contributions to these fields, publishing several notable academic papers as the first author. These papers include:
  1. “Instruct Pix-to-3D: Instructional 3D Object Generation from a Single Image” (Neurocomputing, 2024) – This paper explores innovative methods for generating 3D objects from single images, pushing the boundaries of instructional 3D object generation.
  2. “META DESCENT LEARNING FOR CLASS IMBALANCED AGE ESTIMATION” (IEEE International Conference on Multimedia and Expo, 2022) – This work addresses the challenges of class imbalance in age estimation, proposing a novel meta-descent learning approach.
  3. “Progressive Ordinal Regression for Long-tailed Age Estimation” (Asian Conference on Artificial Intelligence Technology, 2021) – This paper introduces a progressive ordinal regression technique for improving the accuracy of long-tailed age estimation.
  4. “Occlusion Contrasts for Self-Supervised Facial Age Estimation” (ACM International Conference on Multimedia, 2021) – Cai’s research in this paper focuses on leveraging occlusion contrasts for enhancing self-supervised facial age estimation.
  5. “Open Set Face Anti-Spoofing in Unseen Attacks” (ACM International Conference on Multimedia, 2021) – This study investigates open set face anti-spoofing techniques, addressing challenges posed by unseen attacks.

Accolades and Recognition 🏆

Cai Weiwei’s academic excellence and research contributions have been recognized with numerous awards and honors. Notable among these are:

• Second-class scholarship for doctoral studies (2024)
• PhD Excellence Scholarship (2023)
• Outstanding Graduate of Ningxia University (2022)
• First-class scholarship for postgraduate studies (2021)
• Bronze Medal of Henan ACM Competition (2018)
• National Inspirational Scholarship (2015-2018)

These accolades underscore Cai’s commitment to academic excellence and research innovation.

 Impact and Influence 🌍

Community Impact

Her work in computer vision and 3D reconstruction has had a profound impact on the academic community and beyond. By publishing groundbreaking research and collaborating with leading experts, Cai has contributed to advancements in technology that have the potential to transform various industries, including healthcare, entertainment, and security. Cai’s research on age estimation and face anti-spoofing, in particular, holds significant promise for improving biometric systems and enhancing security measures.

 Legacy and Future Contributions 🔮