Sheng Ye | Computer Science | Best Researcher Award
Mr Sheng Ye, Tsinghua University, China
Mr. Sheng Ye π is a talented researcher in advanced computer science, specializing in deep learning and computer vision. Graduating in the top 15% from Tsinghua University with a GPA of 3.89/4.0, under the guidance of Prof. Liu Yongjin, he quickly established himself as a promising talent. His award-winning project on real-time video stylization π received the βBest Practice Awardβ from Kuaishou and Tsinghua University, and he has been honored with multiple scholarships, including the prestigious βJiukun Scholarship.β Known for his impactful publications π and contributions to academic conferences, Mr. Sheng Ye is well-positioned to excel in research.
Publication Profile
Education Background π
The candidate holds a strong academic record in advanced computer science, focusing on deep learning and computer vision. Graduating among the top 15% from Tsinghua University with a GPA of 3.89/4.0, they were supervised by Prof. Liu Yongjin. Recognized as an exemplary graduate, their academic achievements reflect a dedication to excellence. Early accolades include ranking within the top 10 of their grade and excelling in the national entrance exam with a score of 703. This foundation underlines their exceptional knowledge base and capability in scientific research.
Research Focus and Achievements π¬
The candidateβs research spans innovative deep learning techniques and computer vision applications. A notable project on real-time video stylization was awarded the βBest Practice Awardβ by Kuaishou and Tsinghua University. Additional distinctions include winning first prize at the 16th Image and Graphics Technology and Applications Conference (IGTA). Their publication record is further strengthened by multiple scholarship awards and recognitions, including the prestigious βTsinghua Friends β Jiukun Scholarshipβ in 2022β2023. This research-oriented focus positions the candidate as a strong contender for the Best Researcher Award.
Professional Experience and Contributions πΌ
Through internships and student roles, the candidate has significantly impacted Tsinghuaβs computing community. Leading publicity efforts in the computer science department, they manage the βJiXiaoYanβ public account, curating content across various academic themes. Their professional involvement also extends to reviewing for prominent conferences and journals like CVPR, AAAI, NeurIPS, and ECCV. This experience illustrates their commitment to academic development and a thriving research community.
Key Publications π
- 2024: DiffPoseTalk: Speech-Driven Stylistic 3D Facial Animation β ACM Transactions on Graphics, 43(4) π
- 2024: O2-Recon: 3D Reconstruction of Occluded Objects β AAAI Conference on AI, 38(3) πΌοΈ
- 2024: Online Exhibition Halls with Virtual Agents β Journal of Software, 35(3) π
- 2024: Fine-Grained Indoor Scene Reconstruction β IEEE Transactions on Visualization π
- 2023: Virtual Digital Human for Customer Service β Computers and Graphics, 115 π
- 2022: Audio-Driven Gesture Generation β Lecture Notes in Computer Science, 13665 πΆ
Publication Top Notes
DiffPoseTalk: Speech-Driven Stylistic 3D Facial Animation and Head Pose Generation via Diffusion Models
O2-Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-trained 2D Diffusion Model
Indoor Scene Reconstruction with Fine-Grained Details Using Hybrid Representation and Normal Prior Enhancement
Generation of virtual digital human for customer service industry
Audio-Driven Stylized Gesture Generation with Flow-Based Model
Conclusion π
The candidateβs robust educational background, innovative research, and active participation in academic communities distinguish them as a prime candidate for the Best Researcher Award. With numerous accolades, impactful publications, and a track record of community engagement, they are set to make meaningful contributions to the fields of deep learning and computer vision.
Dr. Shiji S. K. is an accomplished academic and professional with over 11.5 years of teaching experience. She is currently the Director at DRS Alexia Pharma Pvt Ltd. With a strong background in image processing and healthcare management, Dr. Shiji brings a wealth of knowledge and expertise to her roles. She is passionate about leveraging her skills to contribute to the growth and success of her organization. Residing in Thiruvananthapuram, she is dedicated to continuous learning and professional development.
Dr. Shiji S. K. has a diverse and robust educational background. She earned her Ph.D. in Image Processing from NICHE-Kumaracoil in May 2024. She also holds an MBA in Health Care Management from Suresh GyanVihar University, completed in October 2022 with a CGPA of 6.97. Additionally, she obtained an ME in Embedded System from Anna University, Chennai, in July 2012 with a CGPA of 8.13, and a BE in Electronics and Communication Engineering from the same university in April 2007 with 75.42%. Her early education includes a Plus-2 from Govt. Higher Secondary School Balaramapuram in March 2003, scoring 68.83%, and an SSLC from St. Chrysostomβs GHS Nellimmood in March 2001, scoring 72.33%.
Dr. Shiji S. K. has accumulated extensive teaching experience over 11.5 years. She started her career as a Guest Lecturer in Electronics and Communication Engineering at the Government College of Engineering, Trivandrum (CET), from September 2007 to April 2008. She then served as a Guest Lecturer at SCT, Pappanamcode, Trivandrum, from September 2008 to December 2008. Following that, she worked as a Lecturer at MG College of Engineering, Vandithadam, Trivandrum, from January 2009 to March 2013, before being promoted to Assistant Professor, a position she held until November 2019. Since November 2019, Dr. Shiji has been the Director at DRS Alexia Pharma Pvt Ltd, Ayyanthole, Thrissur.
Dr. Shiji S. K.βs research interests lie primarily in the field of image processing, with a focus on gender recognition, image de-blurring, facial image analysis, and the reconstruction of surgically altered face images. She has presented her research findings at various national and international conferences, showcasing her work on gender recognition, image de-blurring using prior information, and the use of machine learning algorithms for face recognition on medically altered surgical images.
Dr. Shiji S. K. has received recognition for her significant contributions to the field of image processing and healthcare management through her research and professional endeavors. Her commitment to excellence and innovation has earned her a respected position in both academic and professional circles.