Noise Resilient Image Fusion Based on Orthogonal Matching Pursuit. - Bin Liao; Lixiong Liu (SMC, 2009)

Multi focus Image Fusion Based on Muti scheme. - Lixiong Liu; Bin Liao (SMC, 2009)

Image Segmentation Using Active Contours With Normally Biased GVF External Force. - Yuanquan Wang 001; Lixiong Liu; Hua Zhang 003; Zuoliang Cao; Shaopei Lu (IEEE Signal Process. Lett., 2010)

Active Contours with Adaptively Normal Biased Gradient Vector Flow External Force. - Hengbo Zhao; Lixiong Liu (CIS, 2011)

Color Image Segmentation Based on Blocks Clustering and Region Growing. - Haifeng Sima; Lixiong Liu; Ping Guo 002 (ICONIP (3), 2011)

A study of block-global feature based supervised image annotation. - Jing He; Ziheng Jiang; Ping Guo 002; Lixiong Liu (SMC, 2011)

Scale estimate of self-organizing map for color image segmentation. - Haifeng Sima; Ping Guo 002; Lixiong Liu (SMC, 2011)

Adaptive Vector Flow for Active Contour Model. - Qi Zhang; Lixiong Liu; Bao Liu (CCPR, 2012)

Color Image Segmentation Based on Regional Saliency. - Haifeng Sima; Lixiong Liu; Ping Guo 002 (ICONIP (5), 2012)

Active contours with neighborhood-extending and noise-smoothing gradient vector flow external force. - Lixiong Liu; Alan C. Bovik (EURASIP J. Image Video Process., 2012)

No-reference image quality assessment in curvelet domain. - Lixiong Liu; Hongping Dong; Hua Huang 001; Alan C. Bovik (Signal Process. Image Commun., 2014)

No-reference image quality assessment based on spatial and spectral entropies. - Lixiong Liu; Bao Liu; Hua Huang 001; Alan Conrad Bovik (Signal Process. Image Commun., 2014)

Blind image quality assessment by relative gradient statistics and adaboosting neural network. - Lixiong Liu; Yi Hua; Qingjie Zhao; Hua Huang 001; Alan Conrad Bovik (Signal Process. Image Commun., 2016)

Level Set Based Online Visual Tracking via Convolutional Neural Network. - Xiaodong Ning; Lixiong Liu (ICONIP (3), 2017)

An efficient level set model with self-similarity for texture segmentation. - Lixiong Liu; Shengming Fan; Xiaodong Ning; Lejian Liao (Neurocomputing, 2017)

Binocular spatial activity and reverse saliency driven no-reference stereopair quality assessment. - Lixiong Liu; Bao Liu; Che-Chun Su; Hua Huang 001; Alan Conrad Bovik (Signal Process. Image Commun., 2017)

No-reference stereopair quality assessment based on singular value decomposition. - Lixiong Liu; Bing Yang; Hua Huang 001 (Neurocomputing, 2018)

No-Reference Stereoscopic Video Quality Assessment Based on Spatial-Temporal Statistics. - Jiufa Zhang; Lixiong Liu; Jiachao Gong; Hua Huang 001 (ICIG (3), 2019)

Pre-Attention and Spatial Dependency Driven No-Reference Image Quality Assessment. - Lixiong Liu; Tianshu Wang 003; Hua Huang 001 (IEEE Trans. Multim., 2019)

Stereoscopic Video Quality Assessment Using Oriented Local Gravitational Force Statistics. - Yujian Hou; Lixiong Liu; Yongmei Zhang; Qingbing Sang (IEEE Access, 2020)

Image Quality Assessment Based on Quaternion Singular Value Decomposition. - Qingbing Sang; Yunshuo Yang; Lixiong Liu; Xiaoning Song; Xiaojun Wu 001 (IEEE Access, 2020)

Blind image blur metric based on orientation-aware local patterns. - Lixiong Liu; Jiachao Gong; Hua Huang 001; Qingbing Sang (Signal Process. Image Commun., 2020)

Video quality assessment using space-time slice mappings. - Lixiong Liu; Tianshu Wang 003; Hua Huang 001; Alan Conrad Bovik (Signal Process. Image Commun., 2020)

Blind S3D image quality prediction using classical and non-classical receptive field models. - Lixiong Liu; Jiufa Zhang; Michele A. Saad; Hua Huang 001; Alan Conrad Bovik (Signal Process. Image Commun., 2020)

MoNET: no-reference image quality assessment based on a multi-depth output network. - Qingbing Sang; Chenfei Su; Lingying Zhu; Lixiong Liu; Xiaojun Wu 001; Alan C. Bovik (J. Electronic Imaging, 2021)

Motion measurement and quality variation driven video quality assessment. - Zongyao Hu; Lixiong Liu (Displays, 2022)

MP2020: Visual quality assessment database for macro photography images. - Qingbing Sang; Yujie Cao; Lixiong Liu; Cong Hu; Xiaojun Wu 001 (IET Image Process., 2022)

Omnidirectional Image Quality Assessment With Knowledge Distillation. - Lixiong Liu; Pingchuan Ma 001; Chongwen Wang; Dong Xu (IEEE Signal Process. Lett., 2023)

Image quality assessment based on self-supervised learning and knowledge distillation. - Qingbing Sang; Ziru Shu; Lixiong Liu; Cong Hu; Qin Wu (J. Vis. Commun. Image Represent., 2023)

Self-Supervised Representation Learning for Video Quality Assessment. - Shaojie Jiang; Qingbing Sang; Zongyao Hu; Lixiong Liu (IEEE Trans. Broadcast., 2023)

Deep video quality assessment using constrained multi-task regression and Spatio-temporal feature fusion. - Mingyang Wen; Lixiong Liu; Qingbing Sang; Yongmei Zhang (Multim. Tools Appl., 2023)

Adversarial attacks on video quality assessment models. - Zongyao Hu; Lixiong Liu; Qingbing Sang; Chongwen Wang (Knowl. Based Syst., 2024)

Omnidirectional Video Quality Assessment With Causal Intervention. - Zongyao Hu; Lixiong Liu; Qingbing Sang (IEEE Trans. Broadcast., 2024)

On the generation of adversarial examples for image quality assessment. - Qingbing Sang; Hongguo Zhang; Lixiong Liu; Xiaojun Wu 001; Alan C. Bovik (Vis. Comput., 2024)

No-Reference Image Quality Assessment Leveraging GenAI Images. - Qingbing Sang; Qian Li; Lixiong Liu; Zhaohong Deng; Xiao-jun Wu 001; Alan C. Bovik (IEEE Trans. Image Process., 2025)

Omnidirectional Image Quality Assessment With Mutual Distillation. - Pingchuan Ma 001; Lixiong Liu; Chengzhi Xiao; Dong Xu (IEEE Trans. Broadcast., 2025)