All Outputs (5)

Image recoloring for home scene (2018)
Presentation / Conference Contribution
Lin, X., Wang, X., Li, F. W., Yang, B., Zhang, K., & Wei, T. (2018). Image recoloring for home scene. In VRCAI '18 Proceedings of the 16th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry. https://doi.org/10.1145/3284398.3284404

Indoor home scene coloring technology is a hot topic for home design, helping users make home coloring decisions. Image based home scene coloring is preferable for e-commerce customers since it only requires users to describe coloring expectations or... Read More about Image recoloring for home scene.

Modeling Detailed Cloud Scene from Multi-source Images (2018)
Presentation / Conference Contribution
Cen, Y., Liang, X., Chen, J., Yang, B., & Li, F. W. (2018). Modeling Detailed Cloud Scene from Multi-source Images. In H. Fu, A. Ghosh, & J. Kopf (Eds.), Pacific graphics short papers, (49-52). https://doi.org/10.2312/pg.20181278

Realistic cloud is essential for enhancing the quality of computer graphics applications, such as flight simulation. Data-driven method is an effective way in cloud modeling, but existing methods typically only utilize one data source as input. For e... Read More about Modeling Detailed Cloud Scene from Multi-source Images.

Compressed Dynamic Mesh Sequence for Progressive Streaming (2018)
Journal Article
Yang, B., Jiang, Z., Shangguan, J., Li, F. W., Song, C., Guo, Y., & Xu, M. (2019). Compressed Dynamic Mesh Sequence for Progressive Streaming. Computer Animation and Virtual Worlds, 30(6), Article e1847. https://doi.org/10.1002/cav.1847

Dynamic mesh sequence (DMS) is a simple and accurate representation for precisely recording a 3D animation sequence. Despite its simplicity, this representation is typically large in data size, making storage and transmission expensive. This paper pr... Read More about Compressed Dynamic Mesh Sequence for Progressive Streaming.

Scalable Remote Rendering using Synthesized Image Quality Assessment (2018)
Journal Article
Wang, X., Liang, X., Yang, B., & Li, F. W. (2018). Scalable Remote Rendering using Synthesized Image Quality Assessment. IEEE Access, 6, 36595-36610. https://doi.org/10.1109/access.2018.2853132

Depth-image-based rendering (DIBR) is widely used to support 3D interactive graphics on low-end mobile devices. Although it reduces the rendering cost on a mobile device, it essentially turns such a cost into depth image transmission cost or bandwidt... Read More about Scalable Remote Rendering using Synthesized Image Quality Assessment.

Study on student performance estimation, student progress analysis, and student potential prediction based on data mining (2018)
Journal Article
Yang, F., & Li, F. W. (2018). Study on student performance estimation, student progress analysis, and student potential prediction based on data mining. Computers & Education, 123, 97-108. https://doi.org/10.1016/j.compedu.2018.04.006

Student performance, student progress and student potential are critical for measuring learning results, selecting learning materials and learning activities. However, existing work doesn't provide enough analysis tools to analyze how students perfor... Read More about Study on student performance estimation, student progress analysis, and student potential prediction based on data mining.