Qieshi Zhang

95 papers A* 3A 1B 15C 6Misc 7Journal 35Unranked 28
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multimodal alignment of event and text streams in spiking neural networks for human action recognition.
Pattern Recognit.
Ziliang Ren, Jiaqi Chen, Qieshi Zhang, Weiyu Yu, FuYong Zhang
2025 B conf
Adaptive multi-frequency attention network for human motion prediction.
SMC
Jianbo Shang, Ziliang Ren, Qieshi Zhang, FuYong Zhang, Tiezhu Zhao
2025 J jnl
Class-Irrelevant Feature Removal for Few-Shot Image Classification.
IEEE Trans. Neural Networks Learn. Syst.
Fusheng Hao, Liu Liu, Fuxiang Wu, Qieshi Zhang, Jun Cheng
2025 J jnl
Enhanced spatio-temporal motion prediction using transformer-augmented graph convolutional networks.
Int. J. Mach. Learn. Cybern.
Ziliang Ren, Miaomiao Jin, Yong Qin, Xiangyang Gao, Qieshi Zhang
2025 J jnl
Imitation learning and interactive game-based prediction-decision planning.
Neurocomputing
Wanting Wang, Xuesong Li, Ziliang Ren, Qieshi Zhang, Jun Cheng, Weiyu Yu, Huiquan Zhang
2025 B conf
Incorporating Long and Short-Term Memory Networks and Quaternion Transformation for Human Motion Prediction.
IJCNN
Miaomiao Jin, Ziliang Ren, Qieshi Zhang, Tiezhu Zhao, Hui Zhao
2025 J jnl
Masked cosine similarity prediction for self-supervised skeleton-based action representation learning.
Pattern Anal. Appl.
Ziliang Ren, Ronggui Liu, Yong Qin, Xiangyang Gao, Qieshi Zhang
2025 J jnl
Neural adaptive delay differential equations.
Neurocomputing
Chao Zhou, Qieshi Zhang, Jun Cheng
2025 J jnl
Path planning in dynamic structured environments using transformer-enabled twin delayed deep deterministic policy gradient for mobile robots in simulation.
Intell. Serv. Robotics
Jianghong Jiang, Yumei Zhang, Yu Zhang, Qieshi Zhang
2025 J jnl
Progressive background-foreground difference enhancement for few-shot 3D point cloud semantic segmentation.
Image Vis. Comput.
Tichao Wang, Fusheng Hao, Qieshi Zhang, Jun Cheng
2025 B conf
Re-parameterization Convolution Spiking Neural Network for Object Detection
SMC
Jun Zhou, Ziliang Ren, Qieshi Zhang, Kadyrkulova Kyial Kudayberdievna, Taalaybekova Aizharkyn
2025 J jnl
Textual Embeddings are Good Class-Aware Visual Prompts for Adapting Vision-Language Models.
IEEE Signal Process. Lett.
Fusheng Hao, Liu Liu, Fuxiang Wu, Qieshi Zhang, Jun Cheng
2025 — conf
Two-Stage Modal Feature Enhancement for Multispectral Object Detection.
PRCV (5)
Tichao Wang, Ziliang Ren, Qieshi Zhang, Yimin Zhou, Jun Cheng
2024 B conf
AAGF: An Efficient Transformer With Mix-Features For Visual Place Recognition.
ICIP
Kuan Zhou, Zhenyu Xu, Qieshi Zhang, Jun Cheng, Ziliang Ren, Xiangyang Gao
2024 J jnl
BDR6D: Bidirectional Deep Residual Fusion Network for 6D Pose Estimation.
IEEE Trans Autom. Sci. Eng.
Penglei Liu, Qieshi Zhang, Jun Cheng
2024 J jnl
Enhancing Visual Place Recognition Using Discrete Cosine Transform and Difference-Based Descriptors.
IEEE Trans. Circuits Syst. II Express Briefs
Qieshi Zhang, Zhenyu Xu, Zhiyong Yang, Ziliang Ren, Shuai Yuan, Jun Cheng
2024 B conf
MSGAT: Multi-Stage Graph Attention Network For Human Motion Prediction.
ICIP
Ziyang Zheng, Ziliang Ren, Zhanhao Liang, Gulin Wang, Qieshi Zhang
2024 A* conf
Semantic-focused Patch Tokenizer with Multi-branch Mixer for Visual Place Recognition.
ICRA
Zhenyu Xu, Ziliang Ren, Qieshi Zhang, Jie Lou, Dacheng Tao, Jun Cheng
2024 J jnl
Two-stage feature distribution rectification for few-shot point cloud semantic segmentation.
Pattern Recognit. Lett.
Tichao Wang, Fusheng Hao, Guosheng Cui, Fuxiang Wu, Mengjie Yang, Qieshi Zhang, Jun Cheng
2023 — conf
AGA-RFNN: Adaptive Genetic Algorithm-based Random Forest Neural Network for Pavement Deterioration Prediction.
RCAR
Zhenyu Xu, Lenian Meng, Qieshi Zhang, Jun Cheng, Babitha Philip, Hamad Aljassmi, Zhiyong Yang
2023 J jnl
ASENN: attention-based selective embedding neural networks for road distress prediction.
J. Big Data
Babitha Philip, Zhenyu Xu, Hamad Aljassmi, Qieshi Zhang, Luqman Ali
2023 J jnl
CUCN: continuously updated connection network for low-light image enhancement.
J. Electronic Imaging
Qieshi Zhang, Zuwei Ouyang, Ziliang Ren, Zhenyu Xu, Jun Cheng
2023 J jnl
Distilled representation using patch-based local-to-global similarity strategy for visual place recognition.
Knowl. Based Syst.
Qieshi Zhang, Zhenyu Xu, Yuhang Kang, Fusheng Hao, Ziliang Ren, Jun Cheng
2023 Misc conf
Efficiently Fusing Sparse Lidar for Enhanced Self-Supervised Monocular Depth Estimation.
ICASSP
Yue Wang, Mingrong Gong, Lei Xia, Qieshi Zhang, Jun Cheng
2023 A* conf
GSNet: Model Reconstruction Network for Category-level 6D Object Pose and Size Estimation.
ICRA
Penglei Liu, Qieshi Zhang, Jun Cheng
2023 J jnl
InDecGAN: Learning to Generate Complex Images From Captions via Independent Object-Level Decomposition and Enhancement.
IEEE Trans. Multim.
Jun Cheng, Fuxiang Wu, Liu Liu, Qieshi Zhang, Leszek Rutkowski, Dacheng Tao
2023 — conf
MixPose: 3D Human Pose Estimation with Mixed Encoder.
PRCV (8)
Jisheng Cheng, Qin Cheng, Mengjie Yang, Zhen Liu, Qieshi Zhang, Jun Cheng
2023 J jnl
Mixer-Based Semantic Spread for Few-Shot Learning.
IEEE Trans. Multim.
Jun Cheng, Fusheng Hao, Fengxiang He, Liu Liu, Qieshi Zhang
2023 J jnl
Multi-scale spatial-temporal convolutional neural network for skeleton-based action recognition.
Pattern Anal. Appl.
Qin Cheng, Jun Cheng, Ziliang Ren, Qieshi Zhang, Jianming Liu
2023 J jnl
Prototype expansion and feature calibration for few-shot point cloud semantic segmentation.
Neurocomputing
Qieshi Zhang, Tichao Wang, Fusheng Hao, Fuxiang Wu, Jun Cheng
2023 — conf
SA-GCNN: Spatial Attention Based Graph Convolutional Neural Network for Pedestrian Trajectory Prediction.
ROBIO
Xuesong Li, Qieshi Zhang, Wanting Wang, Jian Tang, Dong Liu, Jun Cheng
2023 J jnl
Semantic-Aware Feature Aggregation for Few-Shot Image Classification.
Neural Process. Lett.
Fusheng Hao, Fuxiang Wu, Fengxiang He, Qieshi Zhang, Chengqun Song, Jun Cheng
2023 — conf
Skeleton-Embedded Network for action recognition.
RCAR
Li Luo, Ziliang Ren, Yong Qin, Qieshi Zhang, Xiangyang Gao
2023 — conf
Vehicle Trajectories Prediction via Nearest Neighbor Historical Behavior.
ROBIO
Wanting Wang, Qieshi Zhang, Xuesong Li, Jian Tang, Dong Liu, Jun Cheng
2022 J jnl
Cross-Modality Compensation Convolutional Neural Networks for RGB-D Action Recognition.
IEEE Trans. Circuits Syst. Video Technol.
Jun Cheng, Ziliang Ren, Qieshi Zhang, Xiangyang Gao, Fusheng Hao
2022 J jnl
Dual-stream cross-modality fusion transformer for RGB-D action recognition.
Knowl. Based Syst.
Zhen Liu, Jun Cheng, Libo Liu, Ziliang Ren, Qieshi Zhang, Chengqun Song
2022 — conf
EEP-Net: Enhancing Local Neighborhood Features and Efficient Semantic Segmentation of Scale Point Clouds.
PRCV (3)
Yicheng Liu, Fuxiang Wu, Qieshi Zhang, Ziliang Ren, Jun Cheng
2022 Misc conf
GAZEATTENTIONNET: Gaze Estimation with Attentions.
ICASSP
Haoxian Huang, Luqian Ren, Zhuo Yang, Yinwei Zhan, Qieshi Zhang, Jujian Lv
2022 B conf
Indoor Target-Driven Visual Navigation based on Spatial Semantic Information.
ICIP
Jiaojie Yan, Qieshi Zhang, Jun Cheng, Ziliang Ren, Tian Li, Zhuo Yang
2022 J jnl
Multi-scale and attention enhanced graph convolution network for skeleton-based violence action recognition.
Frontiers Neurorobotics
Huaigang Yang, Ziliang Ren, Huaqiang Yuan, Wenhong Wei, Qieshi Zhang, Zhaolong Zhang
2022 J jnl
Time-Varying Trajectory Tracking Formation H
IEEE Trans. Syst. Man Cybern. Syst.
Jun Cheng, Yuhang Kang, Bin Xin, Qieshi Zhang, Kai Mao, Shaolei Zhou
2021 — conf
Attention Mechanism-based Monocular Depth Estimation and Visual Odometry.
RCAR
Qieshi Zhang, Dian Lin, Ziliang Ren, Yuhang Kang, Fuxiang Wu, Jun Cheng
2021 — conf
Complementary Multi-Branch CNNs Towards Real-World 3D Point Classification.
RCAR
Zifeng Tang, Fusheng Hao, Qieshi Zhang, Jun Cheng, Jin Zhang, Shuai Yuan
2021 J jnl
Data Augmentation and Dense-LSTM for Human Activity Recognition Using WiFi Signal.
IEEE Internet Things J.
Jin Zhang, Fuxiang Wu, Bo Wei, Qieshi Zhang, Hui Huang, Syed W. Shah, Jun Cheng
2021 A* conf
MFPN-6D : Real-time One-stage Pose Estimation of Objects on RGB Images.
ICRA
Penglei Liu, Qieshi Zhang, Jin Zhang, Fei Wang, Jun Cheng
2021 J jnl
Multi-modality learning for human action recognition.
Multim. Tools Appl.
Ziliang Ren, Qieshi Zhang, Xiangyang Gao, Pengyi Hao, Jun Cheng
2021 J jnl
Real-Time and Efficient 6-D Pose Estimation From a Single RGB Image.
IEEE Trans. Instrum. Meas.
Jun Cheng, Penglei Liu, Qieshi Zhang, Hui Ma, Fei Wang, Jin Zhang
2021 J jnl
Segment spatial-temporal representation and cooperative learning of convolution neural networks for multimodal-based action recognition.
Neurocomputing
Ziliang Ren, Qieshi Zhang, Jun Cheng, Fusheng Hao, Xiangyang Gao
2021 — conf
Skeleton-based Action Recognition with Multi-scale Spatial-temporal Convolutional Neural Network.
RCAR
Qin Cheng, Ziliang Ren, Jun Cheng, Qieshi Zhang, Hao Yan, Jianming Liu
2021 — conf
Two Stream Dynamic Threshold Network for Weakly-Supervised Temporal Action Localization.
RCAR
Hao Yan, Jun Cheng, Qieshi Zhang, Ziliang Ren, Shijie Sun, Qin Cheng
2021 — conf
VGG-CAE: Unsupervised Visual Place Recognition Using VGG16-Based Convolutional Autoencoder.
PRCV (2)
Zhenyu Xu, Qieshi Zhang, Fusheng Hao, Ziliang Ren, Yuhang Kang, Jun Cheng
2020 C conf
Blockchain-Based Multi-Role Healthcare Data Sharing System.
HealthCom
Yao Yu, Qirui Li, Qieshi Zhang, Wenjian Hu, Shumei Liu
2020 J jnl
GPU Accelerated Polar Harmonic Transforms for Feature Extraction in ITS Applications.
IEEE Access
Zhuo Yang, Mingkai Tang, Zhuozhang Li, Ziliang Ren, Qieshi Zhang
2020 C conf
Link Fault Repair Algorithm of Wearable Wireless Sensor Networks based on Polygon Fermat Point.
HealthCom
Lincong Zhang, Ce Zhang, Kefeng Wei, Qieshi Zhang
2020 B conf
ST-LSTM: Spatio-Temporal Graph Based Long Short-Term Memory Network For Vehicle Trajectory Prediction.
ICIP
Guangxi Chen, Ling Hu, Qieshi Zhang, Ziliang Ren, Xiangyang Gao, Jun Cheng
2019 B conf
Accelerated Detail-Enhanced Ambient Occlusion.
ICIP
Cheng Lin, Yinwei Zhan, Zhuo Yang, Jujian Lv, Qieshi Zhang, Wenxin Yu
2019 A conf
End-to-End Panoptic Segmentation with Pixel-Level Non-Overlapping Embedding.
ICME
Weitong Zhang, Qieshi Zhang, Jun Cheng, Cong Bai, Pengyi Hao
2019 — conf
LMVI-SLAM: Robust Low-Light Monocular Visual-Inertial Simultaneous Localization and Mapping.
ROBIO
Luoying Hao, Hongjian Li, Qieshi Zhang, Xiping Hu, Jun Cheng
2019 — conf
Linear Protection Grid Optimized Image Stitching for Mobile Robots.
RCAR
Lulu Zhou, Yanling Tian, Gang Lu, Xiaojun Wu, Qieshi Zhang
2019 J jnl
Multi-Scale Dilated Convolution Network Based Depth Estimation in Intelligent Transportation Systems.
IEEE Access
Yanling Tian, Qieshi Zhang, Ziliang Ren, Fuxiang Wu, Pengyi Hao, Jinglu Hu
2019 — conf
On Comparing Different Metric Learning Schemes for Deep Feature based Person Re-identification with Camera Adaption.
RCAR
Wanyin Wu, Zhao Yang, Dapeng Tao, Qieshi Zhang, Jun Cheng
2019 — conf
Spatial Pyramid Pooling based Convolutional Autoencoder Network for Loop Closure Detection.
RCAR
Rong Xiang, Yuan Liu, Qieshi Zhang, Jun Cheng
2019 — conf
TransNet: Linkage Recognition with Contextual Nexus for Hard Object.
RCAR
Weitong Zhang, Yanling Tian, Qieshi Zhang, Jun Cheng, Huiquan Zhang
2019 — conf
WiEnhance: Towards Data Augmentation in Human Activity Recognition Using WiFi Signal.
MSN
Jin Zhang, Fuxiang Wu, Wen Hu, Qieshi Zhang, Weitao Xu, Jun Cheng
2018 — conf
Co-consistent Regularization with Discriminative Feature for Zero-Shot Learning.
ICONIP (1)
Yanling Tian, Weitong Zhang, Qieshi Zhang, Jun Cheng, Pengyi Hao, Gang Lu
2018 J jnl
Cognition-Based Context-Aware Cloud Computing for Intelligent Robotic Systems in Mobile Education.
IEEE Access
Jianbo Zheng, Qieshi Zhang, Shihao Xu, Hong Peng, Qin Wu
2018 — conf
Hand Gesture Tracking and Recognition based Human-Computer Interaction System and Its Applications.
ICIA
Kai Li, Jun Cheng, Qieshi Zhang, Jianming Liu
2018 B conf
Recursive Inception Network for Super-Resolution.
ICPR
Tao Jiang, Xiaojun Wu, Zhang Yu, Wuyang Shui, Gang Lu, Shiqi Guo, Hao Fei, Qieshi Zhang
2018 B conf
Selective Multi-Convolutional Region Feature Extraction based Iterative Discrimination CNN for Fine-Grained Vehicle Model Recognition.
ICPR
Yanling Tian, Weitong Zhang, Qieshi Zhang, Gang Lu, Xiaojun Wu
2018 — conf
Synthesized Prioritized Data Pruning based Deep Deterministic Policy Gradient Algorithm Improvement.
ICIA
Hui Xiang, Jun Cheng, Qieshi Zhang, Jianming Liu
2018 B conf
UFSM VO: Stereo Odometry Based on Uniformly Feature Selection and Strictly Correspondence Matching.
ICIP
Liangliang Pan, Jun Cheng, Qieshi Zhang
2017 — conf
Auto coder-decoder (CODEC) model based sparse representation for image super resolution.
CISP-BMEI
Qieshi Zhang, Liyan Gu, Jun Cheng, Xiaojun Wu, Sei-ichiro Kamata
2017 — conf
Automatic parking slot detection based on around view monitor (AVM) systems.
WCSP
Lei Li, Changle Li, Qieshi Zhang, Tao Guo, Zhifang Miao
2017 Misc conf
Two-stage cross-based stereo disparity refinement.
MVA
Zonglin Xu, Sei-ichiro Kamata, Qieshi Zhang
2016 Misc conf
A novel color space based on RGB color barycenter.
ICASSP
Qieshi Zhang, Sei-ichiro Kamata
2016 B conf
Adaptive sampling and wavelet tree based compressive sensing for MRI reconstruction.
ICIP
Qieshi Zhang, Jun Zhang, Sei-ichiro Kamata
2016 Misc conf
Learning discriminative and shareable patches for scene classification.
ICASSP
Shoucheng Ni, Qieshi Zhang, Sei-ichiro Kamata, Chongyang Zhang
2015 B conf
Disparity refinement with stability-based tree for stereo matching.
Intelligent Vehicles Symposium
Yuhang Ji, Qieshi Zhang, Kenjiro Sugimoto, Sei-ichiro Kamata
2015 B conf
Fisheye Image Correction Based on Straight-Line Detection and Preservation.
SMC
Qieshi Zhang, Sei-ichiro Kamata
2015 — conf
Robust road lane detection using extremal-region enhancement.
ACPR
Jingchen Gu, Qieshi Zhang, Sei-ichiro Kamata
2014 C conf
Disparity estimation from monocular image sequence.
ICMV
Qieshi Zhang, Sei-ichiro Kamata
2014 C conf
Interactive object segmentation using color similarity based nearest neighbor regions mergence.
ICMV
Jun Zhang, Qieshi Zhang
2014 C conf
Optimized curvelet-based empirical mode decomposition.
ICMV
Renjie Wu, Qieshi Zhang, Sei-ichiro Kamata
2014 C conf
Sparse decomposition learning based dynamic MRI reconstruction.
ICMV
Peifei Zhu, Qieshi Zhang, Sei-ichiro Kamata
2013 J jnl
A Novel Color Descriptor for Road-Sign Detection.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Qieshi Zhang, Sei-ichiro Kamata
2013 Misc conf
Color Barycenter Model based Multiple-Histogram Mapping and Merging for Image Enhancement.
MVA
Qieshi Zhang, Sei-ichiro Kamata
2013 J jnl
Improved Color Barycenter Model and Its Separation for Road Sign Detection.
IEICE Trans. Inf. Syst.
Qieshi Zhang, Sei-ichiro Kamata
2013 Misc conf
Improved Color Barycenter Model for Road-Sign Detection.
MVA
Qieshi Zhang, Sei-ichiro Kamata
2012 J jnl
A Histogram Separation and Mapping Framework for Image Contrast Enhancement.
IPSJ Trans. Comput. Vis. Appl.
Qieshi Zhang, Sei-ichiro Kamata
2012 — conf
Visibility Restoration from Single Image based Optical Model.
VISAPP (1)
Qieshi Zhang, Sei-ichiro Kamata
2010 J jnl
Interscale Stein's Unbiased Risk Estimate and Intrascale Feature Patches Distance Constraint for Image Denoising.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Qieshi Zhang, Sei-ichiro Kamata, Alireza Ahrary
2010 — conf
Pixel color feature enhancement for road signs detection.
ICDIP
Qieshi Zhang, Sei-ichiro Kamata
2008 B conf
Automatic road sign detection method based on Color Barycenters Hexagon model.
ICPR
Qieshi Zhang, Sei-ichiro Kamata
2008 — conf
Face detection and tracking in color images using color centroids segmentation.
ROBIO
Qieshi Zhang, Sei-ichiro Kamata, Jun Zhang
2007 — conf
Color image segmentation based on wavelet transformation and S OFM neural network.
ROBIO
Jun Zhang, Qieshi Zhang