Method based on bitonic filtering decomposition and sparse representation for fusion of infrared and visible images. - Changda Xing; Zhisheng Wang; Quan Ouyang; Chong Dong (IET Image Process., 2018)

Rapid handling of outliers in dense sampling descriptor correspondence fields. - Chong Dong; Zhisheng Wang; Changda Xing; Yuan Xue (J. Electronic Imaging, 2018)

Occlusion Detection of Dense Correspondence Fields Using Motion Statistics and Triangulation. - Chong Dong; Zhisheng Wang; Changda Xing; Jiaming Han; Pingan Huang (IEEE Access, 2019)

Fusion of infrared and visible images with Gaussian smoothness and joint bilateral filtering iteration decomposition. - Changda Xing; Zhisheng Wang; Fan-liang Meng; Chong Dong (IET Comput. Vis., 2019)

Image fusion method based on spatially masked convolutional sparse representation. - Changda Xing; Zhisheng Wang; Quan Ouyang; Chong Dong; Chaowei Duan (Image Vis. Comput., 2019)

Using Taylor Expansion and Convolutional Sparse Representation for Image Fusion. - Changda Xing; Meiling Wang 001; Chong Dong; Chaowei Duan; Zhisheng Wang (Neurocomputing, 2020)

Joint sparse-collaborative representation to fuse hyperspectral and multispectral images. - Changda Xing; Meiling Wang 001; Chong Dong; Chaowei Duan; Zhisheng Wang (Signal Process., 2020)

A non-local propagation filtering scheme for edge-preserving in variational optical flow computation. - Chong Dong; Zhisheng Wang; Jiaming Han; Changda Xing; Shufang Tang (Signal Process. Image Commun., 2021)

TagVibra: push the limit of RFID-based vibration sensing. - Jian Li; Ping Li 020; Biaokai Zhu; Chong Dong; Chao Gong; Zhao Lv (BIGCOM, 2023)