Browsing by Author Hou, Junhui

Showing results 1 to 17 of 17
Issue DateTitleAuthor(s)
 20193D point cloud attribute compression using geometry-guided sparse representationGu, Shuai; Hou, Junhui; Zeng, Huanqiang; Yuan, Hui; Ma, Kai-Kuang
 2018Accurate light field depth estimation with superpixel regularization over partially occluded regionsChen, Jie; Hou, Junhui; Ni, Yun; Chau, Lap-Pui
 2022Attention-guided progressive neural texture fusion for high dynamic range image restorationChen, Jie; Yang, Zaifeng; Chan, Tsz Nam; Li, Hui; Hou, Junhui; Chau, Lap-Pui
 2020Convolutional neural networks with dynamic regularizationWang, Yi; Bian, Zhen-Peng; Hou, Junhui; Chau, Lap-Pui
 2012Dynamic 3-D facial compression using low rank and sparse decompositionChau, Lap-Pui; Hou, Junhui; He, Ying; Quynh, Dao Thi Phuong; Magnenat-Thalmann, Nadia
2018A gabor feature-based quality assessment model for the screen content imagesNi, Zhangkai; Zeng, Huanqiang; Ma, Lin; Hou, Junhui; Chen, Jing; Ma, Kai-Kuang
2015Human Motion Capture Data Tailored Transform CodingHou, Junhui; Chau, Lap-Pui; Magnenat-Thalmann, Nadia; He, Ying
 2018ImmerTai : immersive motion learning in VR environmentsChen, Xiaoming; Chen, Zhibo; Li, Ye; He, Tianyu; Hou, Junhui; Liu, Sen; He, Ying
 2017Light field compression with disparity-guided sparse coding based on structural key viewsChen, Jie; Hou, Junhui; Chau, Lap-Pui
 2018Light field denoising via anisotropic parallax analysis in a CNN frameworkChen, Jie; Hou, Junhui; Chau, Lap-Pui
 2018Light field image compression based on bi-level view compensation with rate-distortion optimizationHou, Junhui; Chen, Jie; Chau, Lap-Pui
2016Low-latency compression of mocap data using learned spatial decorrelation transformHou, Junhui; Chau, Lap-Pui; Magnenat-Thalmann, Nadia; He, Ying
2016Matrix decomposition-based methods for compressing three-dimensional motion dataHou, Junhui
2017Robust human activity recognition using lesser number of wearable sensorsWang, Di; Candinegara, Edwin; Hou, Junhui; Tan, Ah-Hwee; Miao, Chunyan
 2021A self-training approach for point-supervised object detection and counting in crowdsWang, Yi; Hou, Junhui; Hou, Xinyu; Chau, Lap-Pui
 2018Simultaneous spatial and spectral low-rank representation of hyperspectral images for classificationMei, Shaohui; Hou, Junhui; Chen, Jie; Chau, Lap-Pui; Du, Qian
2017Sparse low-rank matrix approximation for data compressionHou, Junhui; Chau, Lap-Pui; Magnenat-Thalmann, Nadia; He, Ying