An Adaptive De-Interlacing Algorithm Based on Texture and Motion Vector Analysis. - Jianguo Du 001; Songnan Li; Debin Zhao; Qian Huang; Wen Gao 001 (ICME, 2006)

Influence of the Smooth Region on the Structural Similarity Index. - Songnan Li; King Ngi Ngan (PCM, 2009)

Platform-independent MB-based AVS video standard implementation. - Xin Jin 002; Songnan Li; King Ngi Ngan (Signal Process. Image Commun., 2009)

Video Quality Assessment based on Adaptive Block-size Transform Just-Noticeable Difference model. - Lin Ma 002; Fan Zhang 093; Songnan Li; King N. Ngan (ICIP, 2010)

Subtractive impairment, additive impairment and image visual quality. - Songnan Li; King Ngi Ngan (ISCAS, 2010)

Temporal inconsistency measure for video quality assessment. - Songnan Li; Lin Ma 002; Fan Zhang 093; King Ngi Ngan (PCS, 2010)

Limitation and challenges of image quality measurement. - Fan Zhang 093; Songnan Li; Lin Ma 002; King Ngi Ngan (VCIP, 2010)

Visual Horizontal Effect for Image Quality Assessment. - Lin Ma 002; Songnan Li; King Ngi Ngan (IEEE Signal Process. Lett., 2010)

Motion trajectory based visual saliency for video quality assessment. - Lin Ma 002; Songnan Li; King N. Ngan (ICIP, 2011)

Perceptual image compression via adaptive block- based super-resolution directed down-sampling. - Lin Ma 002; Songnan Li; King N. Ngan (ISCAS, 2011)

Video quality assessment by decoupling additive impairments and detail losses. - Songnan Li; Lin Ma 002; King Ngi Ngan (QoMEX, 2011)

Adaptive Block-size Transform based Just-Noticeable Difference model for images/videos. - Lin Ma 002; King Ngi Ngan; Fan Zhang 093; Songnan Li (Signal Process. Image Commun., 2011)

Image Quality Assessment by Separately Evaluating Detail Losses and Additive Impairments. - Songnan Li; Fan Zhang 093; Lin Ma 002; King Ngi Ngan (IEEE Trans. Multim., 2011)

Reduced-Reference Image Quality Assessment Using Reorganized DCT-Based Image Representation. - Lin Ma 002; Songnan Li; Fan Zhang 093; King N. Ngan (IEEE Trans. Multim., 2011)

Practical Image Quality Metric Applied to Image Coding. - Fan Zhang 093; Lin Ma 002; Songnan Li; King Ngi Ngan (IEEE Trans. Multim., 2011)

Visual Quality Evaluation for Images and Videos. - Songnan Li; Lawrence Chun-Man Mak; King Ngi Ngan (Multimedia Analysis, Processing and Communications, 2011)

Video quality metric for consistent visual quality control in video coding. - Long Xu 001; King Ngi Ngan; Songnan Li; Lin Ma 002 (APSIPA, 2012)

Full-Reference Video Quality Assessment by Decoupling Detail Losses and Additive Impairments. - Songnan Li; Lin Ma 002; King Ngi Ngan (IEEE Trans. Circuits Syst. Video Technol., 2012)

Reduced-Reference Video Quality Assessment of Compressed Video Sequences. - Lin Ma 002; Songnan Li; King Ngi Ngan (IEEE Trans. Circuits Syst. Video Technol., 2012)

The Objective Evaluation of Image Object Segmentation Quality. - Ran Shi; King Ngi Ngan; Songnan Li (ACIVS, 2013)

A Head Pose Tracking System Using RGB-D Camera. - Songnan Li; King Ngi Ngan; Lu Sheng (ICVS, 2013)

Anaglyph image generation by matching color appearance attributes. - Songnan Li; Lin Ma 002; King Ngi Ngan (Signal Process. Image Commun., 2013)

Reduced-reference image quality assessment in reorganized DCT domain. - Lin Ma 002; Songnan Li; King Ngi Ngan (Signal Process. Image Commun., 2013)

Consistent Visual Quality Control in Video Coding. - Long Xu 001; Songnan Li; King Ngi Ngan; Lin Ma 002 (IEEE Trans. Circuits Syst. Video Technol., 2013)

Screen-camera calibration using a thread. - Songnan Li; King Ngi Ngan; Lu Sheng (ICIP, 2014)

Temporal depth video enhancement based on intrinsic static structure. - Lu Sheng; King Ngi Ngan; Songnan Li (ICIP, 2014)

Jaccard index compensation for object segmentation evaluation. - Ran Shi; King Ngi Ngan; Songnan Li (ICIP, 2014)

Online Temporally Consistent Indoor Depth Video Enhancement via Static Structure. - Lu Sheng; King Ngi Ngan; Chern-Loon Lim; Songnan Li (IEEE Trans. Image Process., 2015)

Visual Quality Evaluation of Image Object Segmentation: Subjective Assessment and Objective Measure. - Ran Shi; King Ngi Ngan; Songnan Li; Paramesran Raveendran; Hongliang Li 001 (IEEE Trans. Image Process., 2015)

A facial expression model with generative albedo texture. - Songnan Li; Fanzi Wu; Tianhao Zhao; Ran Shi; King Ngi Ngan (APSIPA, 2016)

Salient object segmentation using a switch scheme. - Ran Shi; King Ngi Ngan; Songnan Li (APSIPA, 2016)

Model-based face reconstruction using SIFT flow registration and spherical harmonics. - Fanzi Wu; Songnan Li; Tianhao Zhao; King Ngi Ngan (ICPR, 2016)

Real-Time Head Pose Tracking with Online Face Template Reconstruction. - Songnan Li; King Ngi Ngan; Raveendran Paramesran; Lu Sheng (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Free-Energy Principle Inspired Video Quality Metric and Its Use in Video Coding. - Long Xu 001; Weisi Lin; Lin Ma 002; Yongbing Zhang 002; Yuming Fang; King Ngi Ngan; Songnan Li; Yihua Yan (IEEE Trans. Multim., 2016)

3D Facial Expression Reconstruction using Cascaded Regression. - Fanzi Wu; Songnan Li; Tianhao Zhao; King Ngi Ngan (CoRR, 2017)

Interactive object segmentation in two phases. - Ran Shi; King Ngi Ngan; Songnan Li; Hongliang Li 001 (Signal Process. Image Commun., 2018)

MVF-Net: Multi-View 3D Face Morphable Model Regression. - Fanzi Wu; Linchao Bao; Yajing Chen; Yonggen Ling; Yibing Song; Songnan Li; King Ngi Ngan; Wei Liu 005 (CVPR, 2019)

SRDGAN: learning the noise prior for Super Resolution with Dual Generative Adversarial Networks. - Jingwei Guan; Cheng Pan; Songnan Li; Dahai Yu (CoRR, 2019)

Cascaded regression using landmark displacement for 3D face reconstruction. - Fanzi Wu; Songnan Li; Tianhao Zhao; King Ngi Ngan; Lu Sheng (Pattern Recognit. Lett., 2019)

3-D Reconstruction of Human Body Shape From a Single Commodity Depth Camera. - Tianhao Zhao; Songnan Li; King Ngi Ngan; Fanzi Wu (IEEE Trans. Multim., 2019)

Color Enhancement Using Global Parameters and Local Features Learning. - Enyu Liu; Songnan Li; Shan Liu 001 (ACCV (2), 2020)

End-to-End Denoising of Dark Burst Images using Recurrent Fully Convolutional Networks. - Lan Ma; Di Zhao; Songnan Li; Dahai Yu (VISIGRAPP (4: VISAPP), 2020)

PNG: Micro-Structured Prune-and-Grow Networks for Flexible Image Restoration. - Wei Jiang 001; Wei Wang 311; Shan Liu 001; Songnan Li (CVPR Workshops, 2021)

Efficient Micro-Structured Weight Unification and Pruning for Neural Network Compression. - Sheng Lin 001; Wei Jiang 001; Wei Wang 311; Kaidi Xu; Yanzhi Wang; Shan Liu 001; Songnan Li (CoRR, 2021)

Online Meta Adaptation for Variable-Rate Learned Image Compression. - Wei Jiang 001; Wei Wang 311; Songnan Li; Shan Liu 001 (CVPR Workshops, 2022)

ERDN: Equivalent Receptive Field Deformable Network for Video Deblurring. - Bangrui Jiang; Zhihuai Xie; Zhen Xia; Songnan Li; Shan Liu (ECCV (18), 2022)

Hardware-Friendly Acceleration for Deep Neural Networks with Micro-Structured Compression. - Mengshu Sun; Sheng Lin 001; Shan Liu 001; Songnan Li; Yanzhi Wang; Wei Jiang 001; Wei Wang 311 (FCCM, 2022)

Towards Joint Frame-Level and MOS Quality Predictions with Low-Complexity Objective Models. - Joel Jung; Alexandre Giraud; Meijia Song; Songnan Li; Xiang Li; Shan Liu (ICASSP, 2022)

FAIVconf: Face Enhancement for AI-Based Video Conference with Low Bit-Rate. - Zhengang Li; Sheng Lin 001; Shan Liu 001; Songnan Li; Xue Lin 001; Wei Wang 311; Wei Jiang 001 (ICME Workshops, 2022)

SalCrop: Spatio-temporal Saliency Based Video Cropping. - Kao Zhang; Yan Shang; Songnan Li; Shan Liu 001; Zhenzhong Chen (VCIP, 2022)

RSMT: Real-time Stylized Motion Transition for Characters. - Xiangjun Tang; Linjun Wu; He Wang 002; Bo Hu; Xu Gong; Yuchen Liao; Songnan Li; Qilong Kou; Xiaogang Jin 001 (SIGGRAPH (Conference Paper Track), 2023)

Decoupling Contact for Fine-Grained Motion Style Transfer. - Xiangjun Tang; Linjun Wu; He Wang 002; Yiqian Wu; Bo Hu; Songnan Li; Xu Gong; Yuchen Liao; Qilong Kou; Xiaogang Jin 001 (SIGGRAPH Asia, 2024)