Sparse Metric-based Mesh Saliency (2020)
Journal Article
Hu, S., Liang, X., Shum, H. P., Li, F. W., & Aslam, N. (2020). Sparse Metric-based Mesh Saliency. Neurocomputing, 400, 11-23. https://doi.org/10.1016/j.neucom.2020.02.106

In this paper, we propose an accurate and robust approach to salient region detection for 3D polygonal surface meshes. The salient regions of a mesh are those that geometrically stand out from their contexts and therefore are semantically important f... Read More about Sparse Metric-based Mesh Saliency.

Example-based Image Recoloring in Indoor Environment (2019)
Journal Article
Lin, X., Wang, X., Li, F. W., Li, J., Yang, B., Zhang, K., & Wei, T. (2020). Example-based Image Recoloring in Indoor Environment. Computer Animation and Virtual Worlds, 31(2), Article e1917. https://doi.org/10.1002/cav.1917

Color structure of a home scene image closely relates to the material properties of its local regions. Existing color migration methods typically fail to fully infer the correlation between the coloring of local home scene regions, leading to a local... Read More about Example-based Image Recoloring in Indoor Environment.

A Unified Deep Metric Representation for Mesh Saliency Detection and Non-rigid Shape Matching (2019)
Journal Article
Hu, S., Shum, H., Aslam, N., Li, F. W., & Liang, X. (2020). A Unified Deep Metric Representation for Mesh Saliency Detection and Non-rigid Shape Matching. IEEE Transactions on Multimedia, 22(9), 2278-2292. https://doi.org/10.1109/tmm.2019.2952983

In this paper, we propose a deep metric for unifying the representation of mesh saliency detection and non-rigid shape matching. While saliency detection and shape matching are two closely related and fundamental tasks in shape analysis, previous met... Read More about A Unified Deep Metric Representation for Mesh Saliency Detection and Non-rigid Shape Matching.

A Color-Pair Based Approach for Accurate Color Harmony Estimation (2019)
Journal Article
Yang, B., Wei, T., Fang, X., Deng, Z., Li, F. W., Ling, Y., & Wang, X. (2019). A Color-Pair Based Approach for Accurate Color Harmony Estimation. Computer Graphics Forum, 38(7), 481-490. https://doi.org/10.1111/cgf.13854

Harmonious color combinations can stimulate positive user emotional responses. However, a widely open research question is: how can we establish a robust and accurate color harmony measure for the public and professional designers to identify the har... Read More about A Color-Pair Based Approach for Accurate Color Harmony Estimation.

Recognising Human-Object Interactions Using Attention-based LSTMs (2019)
Conference Proceeding
Almushyti, M., Li, F. W., Vidal, F. P., Tam, G. K., & Roberts, J. C. (2019). Recognising Human-Object Interactions Using Attention-based LSTMs. In Computer Graphics and Visual Computing (CGVC) (135-139). https://doi.org/10.2312/cgvc.20191269

Recognising Human-object interactions (HOIs) in videos is a challenge task especially when a human can interact with multiple objects. This paper attempts to solve the problem of HOIs by proposing a hierarchical framework that analyzes human-object i... Read More about Recognising Human-Object Interactions Using Attention-based LSTMs.

Deep Blind Synthesized Image Quality Assessment with Contextual Multi-Level Feature Pooling (2019)
Conference Proceeding
Wang, X., Wang, K., Yang, B., Li, F. W., & Liang, X. (2019). Deep Blind Synthesized Image Quality Assessment with Contextual Multi-Level Feature Pooling. In 2019 IEEE International Conference on Image Processing Proceedings (435-439). https://doi.org/10.1109/icip.2019.8802943

Blind image quality metrics have achieved significant improvement on traditional 2D image dataset, yet still being insufficient for evaluating synthesized images generated from depth-image-based rendering. The geometric distortions in synthesized ima... Read More about Deep Blind Synthesized Image Quality Assessment with Contextual Multi-Level Feature Pooling.

Motion-aware Compression and Transmission of Mesh Animation Sequences (2019)
Journal Article
Yang, B., Zhang, L., Li, F. W., Xiaoheng, J., Zhigang, D., Wang, M., & Xu, M. (2019). Motion-aware Compression and Transmission of Mesh Animation Sequences. ACM Transactions on Intelligent Systems and Technology, 10(3), Article 25. https://doi.org/10.1145/3300198

With the increasing demand in using 3D mesh data over networks, supporting effective compression and efficient transmission of meshes has caught lots of attention in recent years. This article introduces a novel compression method for 3D mesh animati... Read More about Motion-aware Compression and Transmission of Mesh Animation Sequences.

No-reference synthetic image quality assessment with convolutional neural network and local image saliency (2019)
Journal Article
Wang, X., Liang, X., Yang, B., & Li, F. W. (2019). No-reference synthetic image quality assessment with convolutional neural network and local image saliency. Computational Visual Media, 5(2), 193-208. https://doi.org/10.1007/s41095-019-0131-6

Depth-image-based rendering (DIBR) is widely used in 3DTV, free-viewpoint video, and interactive 3D graphics applications. Typically, synthetic images generated by DIBR-based systems incorporate various distortions, particularly geometric distortions... Read More about No-reference synthetic image quality assessment with convolutional neural network and local image saliency.

Image recoloring for home scene (2018)
Conference Proceeding
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)
Conference Proceeding
Cen, Y., Liang, X., Chen, J., Yang, B., Li, F. W., Fu, H., …Kopf, J. (2018). Modeling Detailed Cloud Scene from Multi-source Images. In 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.