Nanyang Technological University-Singapore
Author Profile
Early Academic Pursuits
Prof. Weiqing Yan's academic journey commenced with a Bachelor's degree in Mathematics and Statistics from Ludong University. He continued to pursue his Master's in Electronic Information Engineering at Tianjin University, culminating in a Ph.D. in the same field from Tianjin University in 2017. Notably, he enriched his academic experience with a visiting Ph.D. stint at UC, Berkeley, in the Visual Spatial Understanding Laboratory under the mentorship of Martin S. Banks.
Professional Endeavors
Since May 2017, Weiqing Yan has been contributing significantly to academia. Starting as an Associate Professor at Yantai University, he later advanced his career by joining the School of Computer Science and Engineering at Nanyang Technological University, Singapore, as a Researcher in October 2022.
Contributions and Research Focus On 3D Computer Vision
Prof. Weiqing Yan's research interests span Multi-view feature learning, 3D computer vision, and Stereoscopic image editing. His work delves into innovative areas such as collaborative structure and feature learning for multi-view clustering, global and cross-view feature aggregation for multi-view clustering, and graph-filtering for multiview graph clustering.
Accolades and Recognition
Prof. Weiqing Yan's research has received recognition through numerous publications in reputable journals and conferences. Notable mentions include papers in Information Fusion, IEEE CVPR, Digital Signal Processing, and ACM Multimedia. His work demonstrates a commitment to advancing knowledge in computer vision and related fields.
Stereo vision technologies involve the use of multiple cameras to capture images from slightly different viewpoints, mimicking the human binocular vision. This helps in accurately reconstructing the three-dimensional structure of objects.
Object recognition in 3D Computer Vision focuses on identifying and categorizing objects within a three-dimensional space. This has applications in fields such as robotics, augmented reality, virtual reality, and autonomous vehicles.
Impact and Influence
The impact of Weiqing Yan's research is evident in his contributions to various domains, from skin lesion classification using deep neural networks to 3D object detection through LiDAR and binocular stereo fusion. His work also extends to stereoscopic image stitching and quality evaluation, showcasing a diverse and influential research portfolio.
3D Computer Vision involves the study of techniques for capturing, analyzing, and interpreting three-dimensional visual data from the world. This multidisciplinary field combines computer science, mathematics, and optics to develop methods for understanding the spatial characteristics of objects and scenes.
Legacy and Future Contributions
Prof. Weiqing Yan's legacy is shaped by his multidisciplinary approach, bridging computer science and engineering with a focus on computer vision. As a researcher at Nanyang Technological University, his future contributions are anticipated to further advance the understanding and applications of multi-view feature learning and 3D computer vision.
In 3D Computer Vision, researchers and practitioners explore various approaches, including depth perception, stereo vision, and object recognition. Depth mapping techniques enable the creation of three-dimensional models from two-dimensional images, allowing computers to understand the distances and positions of objects in a given environment.
Conclusion
Prof. Weiqing Yan's academic and professional journey underscores a commitment to excellence in research and education. His impactful contributions to computer vision, coupled with a global research perspective, position him as a leading researcher in the field. The trajectory of his career suggests continued innovation and valuable contributions to the scientific community.
Notable Publication