Deep Learning-Based Luma and Chroma Fractional Interpolation in Video Coding. - Chi Do-Kim Pham; Jinjia Zhou (IEEE Access, 2019)

Bi-directional intra prediction based measurement coding for compressive sensing images. - Thuy Thi Thu Tran; Jirayu Peetakul; Chi Do-Kim Pham; Jinjia Zhou (MMSP, 2020)

Deep Learning Based Spatial-Temporal In-Loop Filtering for Versatile Video Coding. - Chi Do-Kim Pham; Chen Fu; Jinjia Zhou (CVPR Workshops, 2021)

SpeedDeblur: A Framework to speed up CNN-based Deblurring for HEVC compressed video. - Ho Tan Nguyen; Chi Do-Kim Pham; Jinjia Zhou (MMSP, 2021)

An 81.92Gpixels/s Fast Reconstruction of Images from Compressively Sensed Measurements. - Jiayao Xu; Chi Do-Kim Pham; Chen Fu; Jinjia Zhou (ISCAS, 2022)

JVCSR: Video Compressive Sensing Reconstruction with Joint In-Loop Reference Enhancement and Out-Loop Super-Resolution. - Jian Yang; Chi Do-Kim Pham; Jinjia Zhou (MMM (1), 2022)

Object detection and tracking aided SLAM in image sequences for dynamic environment. - Catherine Waithera Wangari; Chi Do-Kim Pham; Jinjia Zhou (MMSP, 2022)

CSIE-M: Compressive Sensing Image Enhancement Using Multiple Reconstructed Signals for Internet of Things Surveillance Systems. - Chi Do-Kim Pham; Jian Yang; Jinjia Zhou (IEEE Trans. Ind. Informatics, 2022)

Temporal Down-sampling based Video Coding with Frame-Recurrent Enhancement. - Keren He; Chen Fu; Chi Do-Kim Pham; Lu Zhang 037; Jinjia Zhou (DCC, 2023)