3D Face Pose Estimation Based on Multi-template AAM. - Chunsheng Liu; Faliang Chang; Zhenxue Chen (CCBR, 2012)

Chinese License Plate Recognition Based on Human Vision Attention Mechanism. - Zhenxue Chen; Faliang Chang; Chunsheng Liu (Int. J. Pattern Recognit. Artif. Intell., 2013)

High performance traffic sign recognition based on sparse representation and SVM classification. - Chunsheng Liu; Faliang Chang; Zhenxue Chen (ICNC, 2014)

Face recognition algorithm based on improved facial model. - Chengyun Liu; Zhenxue Chen; Faliang Chang; Kaifang Wang (ICNC, 2014)

Illumination Processing in Face Recognition. - Zhenxue Chen; Chengyun Liu; Faliang Chang; Xuzhen Han; Kaifang Wang (Int. J. Pattern Recognit. Artif. Intell., 2014)

Rapid Multiclass Traffic Sign Detection in High-Resolution Images. - Chunsheng Liu; Faliang Chang; Zhenxue Chen (IEEE Trans. Intell. Transp. Syst., 2014)

Fast Face Sketch-Photo Image Synthesis and Recognition. - Zhenxue Chen; Kaifang Wang; Chengyun Liu (Int. J. Pattern Recognit. Artif. Intell., 2016)

Low-Resolution Face Recognition of Multi-Scale Blocking CS-LBP and Weighted PCA. - Jiadi Li; Zhenxue Chen; Chengyun Liu (Int. J. Pattern Recognit. Artif. Intell., 2016)

Salient object detection via images frequency domain analyzing. - Chao He; Zhenxue Chen; Chengyun Liu (Signal Image Video Process., 2016)

Fast Traffic Sign Recognition via High-Contrast Region Extraction and Extended Sparse Representation. - Chunsheng Liu; Faliang Chang; Zhenxue Chen; Dongmei Liu (IEEE Trans. Intell. Transp. Syst., 2016)

Saliency detection: Multi-level combination approach via graph-based manifold ranking. - Cuiping Li 003; Zhenxue Chen; Chengyun Liu; Di Zhao (ICNC-FSKD, 2017)

Illumination and pose variable face recognition via adaptively weighted ULBP_MHOG and WSRC. - Kang Wang; Zhenxue Chen; Q. M. Jonathan Wu; Chengyun Liu (Signal Process. Image Commun., 2017)

Channel-Wise Feature Response Based Deep Saliency Detection. - Cuiping Li 003; Zhenxue Chen; Chengyun Liu (ICARM, 2018)

Real-time Semantic Segmentation for Road Scene. - Xuetao Zhang 003; Zhenxue Chen; Dan Lu 006; Xianming Li (ICARM, 2018)

Deep saliency detection via channel-wise hierarchical feature responses. - Cuiping Li 003; Zhenxue Chen; Q. M. Jonathan Wu; Chengyun Liu (Neurocomputing, 2018)

Denoising and 3D Reconstruction of CT Images in Extracted Tooth via Wavelet and Bilateral Filtering. - Cuizhen Wang; Zhenxue Chen; Yan Wang; Zhifeng Wang (Int. J. Pattern Recognit. Artif. Intell., 2018)

Cascade heterogeneous face sketch-photo synthesis via dual-scale Markov Network. - Saisai Yao; Zhenxue Chen; Yunyi Jia; Chengyun Liu (J. Exp. Theor. Artif. Intell., 2018)

Face sketch-photo synthesis and recognition: Dual-scale Markov Network and multi-information fusion. - Zhenxue Chen; Saisai Yao; Yunyi Jia; Chengyun Liu (J. Vis. Commun. Image Represent., 2018)

Traffic flow detection and statistics via improved optical flow and connected region analysis. - Yanan Peng; Zhenxue Chen; Q. M. Jonathan Wu; Chengyun Liu (Signal Image Video Process., 2018)

Maneuvering target recognition method based on multi-perspective light field reconstruction. - Lei Cai; Pei'en Luo; Guangfu Zhou; Zhenxue Chen (Int. J. Distributed Sens. Networks, 2019)

FCN based preprocessing for exemplar-based face sketch synthesis. - Dan Lu 006; Zhenxue Chen; Q. M. Jonathan Wu; Xuetao Zhang 003 (Neurocomputing, 2019)

Sketch Face Recognition: P-HOG Multi-Features Fusion. - Zhenxue Chen; Saisai Yao; Chengyun Liu; Lei Cai (Int. J. Pattern Recognit. Artif. Intell., 2019)

Adaptive image enhancement method for correcting low-illumination images. - Wencheng Wang 002; Zhenxue Chen; Xiaohui Yuan 001; Xiaojin Wu (Inf. Sci., 2019)

Saliency object detection: integrating reconstruction and prior. - Cuiping Li 003; Zhenxue Chen; Q. M. Jonathan Wu; Chengyun Liu (Mach. Vis. Appl., 2019)

Two-stage local details restoration framework for face hallucination. - Di Zhao; Zhenxue Chen; Q. M. Jonathan Wu; Chengyun Liu (Mach. Vis. Appl., 2019)

Face recognition using AMVP and WSRC under variable illumination and pose. - Kang Wang; Zhenxue Chen; Q. M. Jonathan Wu; Chengyun Liu (Neural Comput. Appl., 2019)

Real-time pedestrian detection with deep supervision in the wild. - Zhaoqing Li; Zhenxue Chen; Q. M. Jonathan Wu; Chengyun Liu (Signal Image Video Process., 2019)

Fast Semantic Segmentation for Scene Perception. - Xuetao Zhang 003; Zhenxue Chen; Q. M. Jonathan Wu; Lei Cai; Dan Lu 006; Xianming Li (IEEE Trans. Ind. Informatics, 2019)

Deep Saliency With Channel-Wise Hierarchical Feature Responses for Traffic Sign Detection. - Cuiping Li 003; Zhenxue Chen; Q. M. Jonathan Wu; Chengyun Liu (IEEE Trans. Intell. Transp. Syst., 2019)

Multi-AUV Collaborative Target Recognition Based on Transfer-Reinforcement Learning. - Lei Cai; Qiankun Sun; Tao Xu 003; Yukun Ma; Zhenxue Chen (IEEE Access, 2020)

Multiperspective Light Field Reconstruction Method via Transfer Reinforcement Learning. - Lei Cai; Pei'en Luo; Guangfu Zhou; Tao Xu 003; Zhenxue Chen (Comput. Intell. Neurosci., 2020)

Lightened SphereFace for face recognition. - Xinjie Zhou; Zhenxue Chen; Qingqiang Guo; Chengyun Liu; Weikai He (J. Electronic Imaging, 2020)

Face hallucination with K-means++ dictionary learning. - Zhenxue Chen; Jiadi Li; Chengyun Liu (Multim. Tools Appl., 2020)

Deep mutual learning network for gait recognition. - Yanchun Wang; Zhenxue Chen; Q. M. Jonathan Wu; Xuewen Rong (Multim. Tools Appl., 2020)

Improved face super-resolution generative adversarial networks. - Mengxue Wang; Zhenxue Chen; Q. M. Jonathan Wu; Muwei Jian (Mach. Vis. Appl., 2020)

3D video semantic segmentation for wildfire smoke. - Guodong Zhu; Zhenxue Chen; Chengyun Liu; Xuewen Rong; Weikai He (Mach. Vis. Appl., 2020)

Pedestrian detection via deep segmentation and context network. - Zhaoqing Li; Zhenxue Chen; Q. M. Jonathan Wu; Chengyun Liu (Neural Comput. Appl., 2020)

3D Parallel Fully Convolutional Networks for Real-Time Video Wildfire Smoke Detection. - Xiuqing Li; Zhenxue Chen; Q. M. Jonathan Wu; Chengyun Liu (IEEE Trans. Circuits Syst. Video Technol., 2020)

Single-Image Dehazing via Dark Channel Prior and Adaptive Threshold. - Yongpeng Pan; Zhenxue Chen; Xianming Li; Weikai He (Int. J. Image Graph., 2021)

Weak-Light Image Enhancement Method Based on Adaptive Local Gamma Transform and Color Compensation. - Wencheng Wang 002; Xiaohui Yuan 001; Zhenxue Chen; Xiaojin Wu; Zairui Gao (J. Sensors, 2021)

FSFN: feature separation and fusion network for single image super-resolution. - Kai Zhu; Zhenxue Chen; Q. M. Jonathan Wu; Nannan Wang 001; Jie Zhao; Gan Zhang (Multim. Tools Appl., 2021)

3MNet: Multi-task, multi-level and multi-channel feature aggregation network for salient object detection. - Xinghe Yan; Zhenxue Chen; Q. M. Jonathan Wu; Mengxu Lu; Luna Sun (Mach. Vis. Appl., 2021)

AMPNet: Average- and Max-Pool Networks for Salient Object Detection. - Luna Sun; Zhenxue Chen; Q. M. Jonathan Wu; Hongjian Zhao; Weikai He; Xinghe Yan (IEEE Trans. Circuits Syst. Video Technol., 2021)

Multi-Scale Gradients Self-Attention Residual Learning for Face Photo-Sketch Transformation. - Shuchao Duan; Zhenxue Chen; Q. M. Jonathan Wu; Lei Cai; Dan Lu 006 (IEEE Trans. Inf. Forensics Secur., 2021)

Object Description Using Visual and Tactile Data. - Maohui Zhou; Peng Zhang 105; Dongri Shan; Zhenxue Chen; Xiaofang Wang (IEEE Access, 2022)

Improved edge-guided network for single image super-resolution. - Jie Zhao; Zhenxue Chen; Q. M. Jonathan Wu; Xianming Li; Lei Cai; Kai Zhu (Multim. Tools Appl., 2022)

Identifying the Strength Level of Objects' Tactile Attributes Using a Multi-Scale Convolutional Neural Network. - Peng Zhang 105; Guoqi Yu; Dongri Shan; Zhenxue Chen; Xiaofang Wang (Sensors, 2022)

Simple low-light image enhancement based on Weber-Fechner law in logarithmic space. - Wencheng Wang 002; Zhenxue Chen; Xiaohui Yuan 001 (Signal Process. Image Commun., 2022)

CATFPN: Adaptive Feature Pyramid With Scale-Wise Concatenation and Self-Attention. - Jing Huang; Zhenxue Chen; Q. M. Jonathan Wu; Chengyun Liu; Hui Yuan 001; Weikai He (IEEE Trans. Circuits Syst. Video Technol., 2022)

RPNet: Gait Recognition With Relationships Between Each Body-Parts. - Hao Qin 006; Zhenxue Chen; Qingqiang Guo; Q. M. Jonathan Wu; Mengxu Lu (IEEE Trans. Circuits Syst. Video Technol., 2022)

MFNet: Multi-Feature Fusion Network for Real-Time Semantic Segmentation in Road Scenes. - Mengxu Lu; Zhenxue Chen; Chengyun Liu; Sile Ma; Lei Cai; Hao Qin 006 (IEEE Trans. Intell. Transp. Syst., 2022)

FRNet: Factorized and Regular Blocks Network for Semantic Segmentation in Road Scene. - Mengxu Lu; Zhenxue Chen; Q. M. Jonathan Wu; Nannan Wang 001; Xuewen Rong; Xinghe Yan (IEEE Trans. Intell. Transp. Syst., 2022)

M-PFGMNet: multi-pose feature generation mapping network for visual object tracking. - Lei Cai; Pei'en Luo; Tao Xu 003; Zhenxue Chen (Multim. Tools Appl., 2022)

Unsupervised self-attention lightweight photo-to-sketch synthesis with feature maps. - Kunru Zhong; Zhenxue Chen; Chengyun Liu; Q. M. Jonathan Wu; Shuchao Duan (J. Vis. Commun. Image Represent., 2023)

Face frontalization with deep GAN via multi-attention mechanism. - Jiaqian Cao; Zhenxue Chen; Yujiao Zhang; Luna Sun; Jiyang Chen (Signal Image Video Process., 2023)

Low-light image enhancement based on virtual exposure. - Wencheng Wang 002; Dongliang Yan; Xiaojin Wu; Weikai He; Zhenxue Chen; Xiaohui Yuan 001; Lun Li (Signal Process. Image Commun., 2023)

OIPNet: Multimodal Network with Orthogonal Information Processing for Semantic Segmentation in Indoor Scenes. - Mengting Ye; Kaili Yu; Zhenxue Chen; Yixin Guo; Longcheng Liu (Int. J. Pattern Recognit. Artif. Intell., 2023)

SAFLFusionGait: Gait recognition network with separate attention and different granularity feature learnability fusion. - Yuchen Hu; Zhenxue Chen; Chengyun Liu; Tian Liang; Dan Lu 006 (J. Vis. Commun. Image Represent., 2024)

BNDCNet: Bilateral nonlocal decoupled convergence network for semantic segmentation. - Mengting Ye; Zhenxue Chen; Yixin Guo; Kaili Yu; Longcheng Liu; Q. M. Jonathan Wu (J. Vis. Commun. Image Represent., 2024)

Category-based depth incorporation for salient object ranking. - Hanxiao Zhai; Zhenxue Chen; Chengyun Liu; Huibin Bai; Q. M. Jonathan Wu (J. Vis. Commun. Image Represent., 2024)

DCTC: Fast and Accurate Contour-Based Instance Segmentation With DCT Encoding for High-Resolution Remote Sensing Images. - Zhong Chen; Tianhang Liu; Xueru Xu; Junsong Leng; Zhenxue Chen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Supervised contrastive learning with multi-scale interaction and integrity learning for salient object detection. - Yu Bi; Zhenxue Chen; Chengyun Liu; Tian Liang; Fei Zheng (Mach. Vis. Appl., 2024)

AdaptiveGait: adaptive feature fusion network for gait recognition. - Tian Liang; Zhenxue Chen; Chengyun Liu; Jiyang Chen; Yuchen Hu; Q. M. Jonathan Wu (Multim. Tools Appl., 2024)

Diversity augmentation and multi-fuzzy label for semi-supervised semantic segmentation. - Zhenyan Wang; Zhenxue Chen; Chengyun Liu; Yaping Zhao; Xinming Zhu; Q. M. Jonathan Wu (Neurocomputing, 2025)

DSINet: Dual semantic interaction and edge refinement network for salient object detection. - Jiazheng Wu; Zhenxue Chen; Qingqiang Guo; Chengyun Liu; Hanxiao Zhai (Neurocomputing, 2025)

Synergy-driven multi-modal prompting for weakly supervised semantic segmentation. - Yaping Zhao; Chengyun Liu; Zhenyan Wang; Xiaona Peng; Zhenxue Chen; Q. M. Jonathan Wu (Neurocomputing, 2025)

3CNet: Cross-modal cooperative correction network for RGB-T semantic segmentation. - Yixin Guo; Zhenxue Chen; Xuewen Rong; Chengyun Liu; Lili Song; Yidi Li (Image Vis. Comput., 2025)

Few-Shot Facial Sketch Synthesis via Progressive Domain Gap Reduction. - Dan Lu 006; Zhenxue Chen; Chengyun Liu; Yuchen Hu; Lei Cai; Q. M. Jonathan Wu (IEEE Trans. Inf. Forensics Secur., 2025)

Frequency separation-based few-shot segmentation. - Xinming Zhu; Zhenxue Chen; Chengyun Liu; Yu Bi; Tian Liang (Signal Image Video Process., 2025)

UCGM: Enhancing pseudo labels via uncertainty and cross-image Gaussian Mixture Model for semi-supervised semantic segmentation. - Zhenyan Wang; Zhenxue Chen; Chengyun Liu; Yaping Zhao; Jiazheng Wu; Mengyang Wang (Expert Syst. Appl., 2026)