Color image segmentation based on wavelet transformation and S OFM neural network. - Jun Zhang; Qieshi Zhang (ROBIO, 2007)

Automatic road sign detection method based on Color Barycenters Hexagon model. - Qieshi Zhang; Sei-ichiro Kamata (ICPR, 2008)

Face detection and tracking in color images using color centroids segmentation. - Qieshi Zhang; Sei-ichiro Kamata; Jun Zhang (ROBIO, 2008)

Pixel color feature enhancement for road signs detection. - Qieshi Zhang; Sei-ichiro Kamata (ICDIP, 2010)

Interscale Stein's Unbiased Risk Estimate and Intrascale Feature Patches Distance Constraint for Image Denoising. - Qieshi Zhang; Sei-ichiro Kamata; Alireza Ahrary (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2010)

Visibility Restoration from Single Image based Optical Model. - Qieshi Zhang; Sei-ichiro Kamata (VISAPP (1), 2012)

A Histogram Separation and Mapping Framework for Image Contrast Enhancement. - Qieshi Zhang; Sei-ichiro Kamata (IPSJ Trans. Comput. Vis. Appl., 2012)

Improved Color Barycenter Model for Road-Sign Detection. - Qieshi Zhang; Sei-ichiro Kamata (MVA, 2013)

Color Barycenter Model based Multiple-Histogram Mapping and Merging for Image Enhancement. - Qieshi Zhang; Sei-ichiro Kamata (MVA, 2013)

A Novel Color Descriptor for Road-Sign Detection. - Qieshi Zhang; Sei-ichiro Kamata (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2013)

Improved Color Barycenter Model and Its Separation for Road Sign Detection. - Qieshi Zhang; Sei-ichiro Kamata (IEICE Trans. Inf. Syst., 2013)

Optimized curvelet-based empirical mode decomposition. - Renjie Wu 002; Qieshi Zhang; Sei-ichiro Kamata (ICMV, 2014)

Disparity estimation from monocular image sequence. - Qieshi Zhang; Sei-ichiro Kamata (ICMV, 2014)

Interactive object segmentation using color similarity based nearest neighbor regions mergence. - Jun Zhang; Qieshi Zhang (ICMV, 2014)

Sparse decomposition learning based dynamic MRI reconstruction. - Peifei Zhu; Qieshi Zhang; Sei-ichiro Kamata (ICMV, 2014)

Robust road lane detection using extremal-region enhancement. - Jingchen Gu; Qieshi Zhang; Sei-ichiro Kamata (ACPR, 2015)

Disparity refinement with stability-based tree for stereo matching. - Yuhang Ji; Qieshi Zhang; Kenjiro Sugimoto; Sei-ichiro Kamata (Intelligent Vehicles Symposium, 2015)

Fisheye Image Correction Based on Straight-Line Detection and Preservation. - Qieshi Zhang; Sei-ichiro Kamata (SMC, 2015)

Learning discriminative and shareable patches for scene classification. - Shoucheng Ni; Qieshi Zhang; Sei-ichiro Kamata; Chongyang Zhang (ICASSP, 2016)

A novel color space based on RGB color barycenter. - Qieshi Zhang; Sei-ichiro Kamata (ICASSP, 2016)

Adaptive sampling and wavelet tree based compressive sensing for MRI reconstruction. - Qieshi Zhang; Jun Zhang; Sei-ichiro Kamata (ICIP, 2016)

Auto coder-decoder (CODEC) model based sparse representation for image super resolution. - Qieshi Zhang; Liyan Gu; Jun Cheng 002; Xiaojun Wu 002; Sei-ichiro Kamata (CISP-BMEI, 2017)

Two-stage cross-based stereo disparity refinement. - Zonglin Xu; Sei-ichiro Kamata; Qieshi Zhang (MVA, 2017)

Automatic parking slot detection based on around view monitor (AVM) systems. - Lei Li; Changle Li; Qieshi Zhang; Tao Guo; Zhifang Miao (WCSP, 2017)

Hand Gesture Tracking and Recognition based Human-Computer Interaction System and Its Applications. - Kai Li; Jun Cheng 002; Qieshi Zhang; Jianming Liu (ICIA, 2018)

Synthesized Prioritized Data Pruning based Deep Deterministic Policy Gradient Algorithm Improvement. - Hui Xiang; Jun Cheng 002; Qieshi Zhang; Jianming Liu (ICIA, 2018)

UFSM VO: Stereo Odometry Based on Uniformly Feature Selection and Strictly Correspondence Matching. - Liangliang Pan; Jun Cheng 002; Qieshi Zhang (ICIP, 2018)

Co-consistent Regularization with Discriminative Feature for Zero-Shot Learning. - Yanling Tian; Weitong Zhang; Qieshi Zhang; Jun Cheng 002; Pengyi Hao; Gang Lu (ICONIP (1), 2018)

Recursive Inception Network for Super-Resolution. - Tao Jiang; Xiaojun Wu 002; Zhang Yu; Wuyang Shui; Gang Lu; Shiqi Guo; Hao Fei 002; Qieshi Zhang (ICPR, 2018)

Selective Multi-Convolutional Region Feature Extraction based Iterative Discrimination CNN for Fine-Grained Vehicle Model Recognition. - Yanling Tian; Weitong Zhang; Qieshi Zhang; Gang Lu; Xiaojun Wu 002 (ICPR, 2018)

Cognition-Based Context-Aware Cloud Computing for Intelligent Robotic Systems in Mobile Education. - Jianbo Zheng; Qieshi Zhang; Shihao Xu; Hong Peng 003; Qin Wu (IEEE Access, 2018)

Accelerated Detail-Enhanced Ambient Occlusion. - Cheng Lin; Yinwei Zhan; Zhuo Yang; Jujian Lv; Qieshi Zhang; Wenxin Yu 001 (ICIP, 2019)

End-to-End Panoptic Segmentation with Pixel-Level Non-Overlapping Embedding. - Weitong Zhang; Qieshi Zhang; Jun Cheng 002; Cong Bai; Pengyi Hao (ICME, 2019)

WiEnhance: Towards Data Augmentation in Human Activity Recognition Using WiFi Signal. - Jin Zhang 013; Fuxiang Wu; Wen Hu 001; Qieshi Zhang; Weitao Xu; Jun Cheng 002 (MSN, 2019)

On Comparing Different Metric Learning Schemes for Deep Feature based Person Re-identification with Camera Adaption. - Wanyin Wu; Zhao Yang 001; Dapeng Tao; Qieshi Zhang; Jun Cheng 002 (RCAR, 2019)

Spatial Pyramid Pooling based Convolutional Autoencoder Network for Loop Closure Detection. - Rong Xiang; Yuan Liu; Qieshi Zhang; Jun Cheng 002 (RCAR, 2019)

TransNet: Linkage Recognition with Contextual Nexus for Hard Object. - Weitong Zhang; Yanling Tian; Qieshi Zhang; Jun Cheng 002; Huiquan Zhang (RCAR, 2019)

Linear Protection Grid Optimized Image Stitching for Mobile Robots. - Lulu Zhou; Yanling Tian; Gang Lu; Xiaojun Wu 002; Qieshi Zhang (RCAR, 2019)

LMVI-SLAM: Robust Low-Light Monocular Visual-Inertial Simultaneous Localization and Mapping. - Luoying Hao; Hongjian Li; Qieshi Zhang; Xiping Hu; Jun Cheng 002 (ROBIO, 2019)

Multi-Scale Dilated Convolution Network Based Depth Estimation in Intelligent Transportation Systems. - Yanling Tian; Qieshi Zhang; Ziliang Ren; Fuxiang Wu; Pengyi Hao; Jinglu Hu (IEEE Access, 2019)

Blockchain-Based Multi-Role Healthcare Data Sharing System. - Yao Yu 002; Qirui Li; Qieshi Zhang; Wenjian Hu; Shumei Liu (HealthCom, 2020)

Link Fault Repair Algorithm of Wearable Wireless Sensor Networks based on Polygon Fermat Point. - Lincong Zhang; Ce Zhang 003; Kefeng Wei; Qieshi Zhang (HealthCom, 2020)

ST-LSTM: Spatio-Temporal Graph Based Long Short-Term Memory Network For Vehicle Trajectory Prediction. - Guangxi Chen; Ling Hu; Qieshi Zhang; Ziliang Ren; Xiangyang Gao; Jun Cheng 002 (ICIP, 2020)

GPU Accelerated Polar Harmonic Transforms for Feature Extraction in ITS Applications. - Zhuo Yang; Mingkai Tang 002; Zhuozhang Li; Ziliang Ren; Qieshi Zhang (IEEE Access, 2020)

MFPN-6D : Real-time One-stage Pose Estimation of Objects on RGB Images. - Penglei Liu; Qieshi Zhang; Jin Zhang 013; Fei Wang 066; Jun Cheng 002 (ICRA, 2021)

VGG-CAE: Unsupervised Visual Place Recognition Using VGG16-Based Convolutional Autoencoder. - Zhenyu Xu; Qieshi Zhang; Fusheng Hao; Ziliang Ren; Yuhang Kang; Jun Cheng 002 (PRCV (2), 2021)

Skeleton-based Action Recognition with Multi-scale Spatial-temporal Convolutional Neural Network. - Qin Cheng; Ziliang Ren; Jun Cheng 002; Qieshi Zhang; Hao Yan; Jianming Liu (RCAR, 2021)

Complementary Multi-Branch CNNs Towards Real-World 3D Point Classification. - Zifeng Tang; Fusheng Hao; Qieshi Zhang; Jun Cheng 002; Jin Zhang 013; Shuai Yuan (RCAR, 2021)

Two Stream Dynamic Threshold Network for Weakly-Supervised Temporal Action Localization. - Hao Yan; Jun Cheng 002; Qieshi Zhang; Ziliang Ren; Shijie Sun; Qin Cheng (RCAR, 2021)

Attention Mechanism-based Monocular Depth Estimation and Visual Odometry. - Qieshi Zhang; Dian Lin; Ziliang Ren; Yuhang Kang; Fuxiang Wu; Jun Cheng 002 (RCAR, 2021)

Segment spatial-temporal representation and cooperative learning of convolution neural networks for multimodal-based action recognition. - Ziliang Ren; Qieshi Zhang; Jun Cheng 002; Fusheng Hao; Xiangyang Gao (Neurocomputing, 2021)

Data Augmentation and Dense-LSTM for Human Activity Recognition Using WiFi Signal. - Jin Zhang 013; Fuxiang Wu; Bo Wei 003; Qieshi Zhang; Hui Huang 014; Syed W. Shah; Jun Cheng 002 (IEEE Internet Things J., 2021)

Multi-modality learning for human action recognition. - Ziliang Ren; Qieshi Zhang; Xiangyang Gao; Pengyi Hao; Jun Cheng 002 (Multim. Tools Appl., 2021)

Real-Time and Efficient 6-D Pose Estimation From a Single RGB Image. - Jun Cheng 002; Penglei Liu; Qieshi Zhang; Hui Ma; Fei Wang 066; Jin Zhang 013 (IEEE Trans. Instrum. Meas., 2021)

GAZEATTENTIONNET: Gaze Estimation with Attentions. - Haoxian Huang; Luqian Ren; Zhuo Yang; Yinwei Zhan; Qieshi Zhang; Jujian Lv (ICASSP, 2022)

Indoor Target-Driven Visual Navigation based on Spatial Semantic Information. - Jiaojie Yan; Qieshi Zhang; Jun Cheng 002; Ziliang Ren; Tian Li; Zhuo Yang (ICIP, 2022)

EEP-Net: Enhancing Local Neighborhood Features and Efficient Semantic Segmentation of Scale Point Clouds. - Yicheng Liu; Fuxiang Wu; Qieshi Zhang; Ziliang Ren; Jun Cheng 002 (PRCV (3), 2022)

Dual-stream cross-modality fusion transformer for RGB-D action recognition. - Zhen Liu; Jun Cheng 002; Libo Liu; Ziliang Ren; Qieshi Zhang; Chengqun Song (Knowl. Based Syst., 2022)

Cross-Modality Compensation Convolutional Neural Networks for RGB-D Action Recognition. - Jun Cheng 002; Ziliang Ren; Qieshi Zhang; Xiangyang Gao; Fusheng Hao (IEEE Trans. Circuits Syst. Video Technol., 2022)

Time-Varying Trajectory Tracking Formation H∞ Control for Multiagent Systems With Communication Delays and External Disturbances. - Jun Cheng 002; Yuhang Kang; Bin Xin 002; Qieshi Zhang; Kai Mao; Shaolei Zhou (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Multi-scale and attention enhanced graph convolution network for skeleton-based violence action recognition. - Huaigang Yang; Ziliang Ren; Huaqiang Yuan; Wenhong Wei; Qieshi Zhang; Zhaolong Zhang (Frontiers Neurorobotics, 2022)

Efficiently Fusing Sparse Lidar for Enhanced Self-Supervised Monocular Depth Estimation. - Yue Wang; Mingrong Gong; Lei Xia; Qieshi Zhang; Jun Cheng 002 (ICASSP, 2023)

GSNet: Model Reconstruction Network for Category-level 6D Object Pose and Size Estimation. - Penglei Liu; Qieshi Zhang; Jun Cheng 002 (ICRA, 2023)

MixPose: 3D Human Pose Estimation with Mixed Encoder. - Jisheng Cheng; Qin Cheng; Mengjie Yang; Zhen Liu; Qieshi Zhang; Jun Cheng 002 (PRCV (8), 2023)

Skeleton-Embedded Network for action recognition. - Li Luo; Ziliang Ren; Yong Qin; Qieshi Zhang; Xiangyang Gao (RCAR, 2023)

AGA-RFNN: Adaptive Genetic Algorithm-based Random Forest Neural Network for Pavement Deterioration Prediction. - Zhenyu Xu; Lenian Meng; Qieshi Zhang; Jun Cheng 002; Babitha Philip; Hamad Aljassmi; Zhiyong Yang (RCAR, 2023)

SA-GCNN: Spatial Attention Based Graph Convolutional Neural Network for Pedestrian Trajectory Prediction. - Xuesong Li; Qieshi Zhang; Wanting Wang; Jian Tang; Dong Liu; Jun Cheng 002 (ROBIO, 2023)

Vehicle Trajectories Prediction via Nearest Neighbor Historical Behavior. - Wanting Wang; Qieshi Zhang; Xuesong Li; Jian Tang; Dong Liu; Jun Cheng 002 (ROBIO, 2023)

CUCN: continuously updated connection network for low-light image enhancement. - Qieshi Zhang; Zuwei Ouyang; Ziliang Ren; Zhenyu Xu; Jun Cheng 002 (J. Electronic Imaging, 2023)

Mixer-Based Semantic Spread for Few-Shot Learning. - Jun Cheng 002; Fusheng Hao; Fengxiang He; Liu Liu 014; Qieshi Zhang (IEEE Trans. Multim., 2023)

InDecGAN: Learning to Generate Complex Images From Captions via Independent Object-Level Decomposition and Enhancement. - Jun Cheng 002; Fuxiang Wu; Liu Liu 014; Qieshi Zhang; Leszek Rutkowski; Dacheng Tao (IEEE Trans. Multim., 2023)

Multi-scale spatial-temporal convolutional neural network for skeleton-based action recognition. - Qin Cheng; Jun Cheng 002; Ziliang Ren; Qieshi Zhang; Jianming Liu (Pattern Anal. Appl., 2023)

Semantic-Aware Feature Aggregation for Few-Shot Image Classification. - Fusheng Hao; Fuxiang Wu; Fengxiang He; Qieshi Zhang; Chengqun Song; Jun Cheng 002 (Neural Process. Lett., 2023)

Prototype expansion and feature calibration for few-shot point cloud semantic segmentation. - Qieshi Zhang; Tichao Wang; Fusheng Hao; Fuxiang Wu; Jun Cheng 002 (Neurocomputing, 2023)

Distilled representation using patch-based local-to-global similarity strategy for visual place recognition. - Qieshi Zhang; Zhenyu Xu; Yuhang Kang; Fusheng Hao; Ziliang Ren; Jun Cheng 002 (Knowl. Based Syst., 2023)

ASENN: attention-based selective embedding neural networks for road distress prediction. - Babitha Philip; Zhenyu Xu; Hamad Aljassmi; Qieshi Zhang; Luqman Ali (J. Big Data, 2023)

MSGAT: Multi-Stage Graph Attention Network For Human Motion Prediction. - Ziyang Zheng; Ziliang Ren; Zhanhao Liang; Gulin Wang; Qieshi Zhang (ICIP, 2024)

AAGF: An Efficient Transformer With Mix-Features For Visual Place Recognition. - Kuan Zhou; Zhenyu Xu; Qieshi Zhang; Jun Cheng 002; Ziliang Ren; Xiangyang Gao (ICIP, 2024)

Semantic-focused Patch Tokenizer with Multi-branch Mixer for Visual Place Recognition. - Zhenyu Xu; Ziliang Ren; Qieshi Zhang; Jie Lou; Dacheng Tao; Jun Cheng 002 (ICRA, 2024)

Two-stage feature distribution rectification for few-shot point cloud semantic segmentation. - Tichao Wang; Fusheng Hao; Guosheng Cui; Fuxiang Wu; Mengjie Yang; Qieshi Zhang; Jun Cheng 002 (Pattern Recognit. Lett., 2024)

BDR6D: Bidirectional Deep Residual Fusion Network for 6D Pose Estimation. - Penglei Liu; Qieshi Zhang; Jun Cheng 002 (IEEE Trans Autom. Sci. Eng., 2024)

Enhancing Visual Place Recognition Using Discrete Cosine Transform and Difference-Based Descriptors. - Qieshi Zhang; Zhenyu Xu; Zhiyong Yang; Ziliang Ren; Shuai Yuan; Jun Cheng 002 (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

Neural adaptive delay differential equations. - Chao Zhou; Qieshi Zhang; Jun Cheng 002 (Neurocomputing, 2025)

Progressive background-foreground difference enhancement for few-shot 3D point cloud semantic segmentation. - Tichao Wang; Fusheng Hao; Qieshi Zhang; Jun Cheng 002 (Image Vis. Comput., 2025)

Textual Embeddings are Good Class-Aware Visual Prompts for Adapting Vision-Language Models. - Fusheng Hao; Liu Liu 014; Fuxiang Wu; Qieshi Zhang; Jun Cheng 002 (IEEE Signal Process. Lett., 2025)

Class-Irrelevant Feature Removal for Few-Shot Image Classification. - Fusheng Hao; Liu Liu 014; Fuxiang Wu; Qieshi Zhang; Jun Cheng 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Masked cosine similarity prediction for self-supervised skeleton-based action representation learning. - Ziliang Ren; Ronggui Liu; Yong Qin; Xiangyang Gao; Qieshi Zhang (Pattern Anal. Appl., 2025)

Path planning in dynamic structured environments using transformer-enabled twin delayed deep deterministic policy gradient for mobile robots in simulation. - Jianghong Jiang; Yumei Zhang; Yu Zhang; Qieshi Zhang (Intell. Serv. Robotics, 2025)