Search

Your search keyword '"Zhu, Shunzhi"' showing total 288 results
Start Over Author "Zhu, Shunzhi"
288 results on '"Zhu, Shunzhi"'

1. DocHFormer: Document Image Dewarping via Harmonized Modeling of Hierarchical Priors

Author

Zhou, Xinyue, Li, Guanting, Jiang, Nanfeng, Wang, Da-Han, Zhang, Xu-Yao, Zhu, ShunZhi, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Antonacopoulos, Apostolos, editor, Chaudhuri, Subhasis, editor, Chellappa, Rama, editor, Liu, Cheng-Lin, editor, Bhattacharya, Saumik, editor, and Pal, Umapada, editor

Published
2025
Full Text
View/download PDF

2. Learning Explicit Radical Representations for Zero-Shot Chinese Character Recognition

Author

Pan, Song-Liang, Wang, Da-Han, Jiang, Nanfeng, Zhang, Xu-Yao, Zhu, Shunzhi, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Antonacopoulos, Apostolos, editor, Chaudhuri, Subhasis, editor, Chellappa, Rama, editor, Liu, Cheng-Lin, editor, Bhattacharya, Saumik, editor, and Pal, Umapada, editor

Published
2025
Full Text
View/download PDF

3. Bridge the Gap of Semantic Context: A Boundary-Guided Context Fusion UNet for Medical Image Segmentation

Author

Chen, Yu, Wu, Jiahua, Wang, Da-Han, Zhang, Xinxin, Zhu, Shunzhi, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Lin, Zhouchen, editor, Cheng, Ming-Ming, editor, He, Ran, editor, Ubul, Kurban, editor, Silamu, Wushouer, editor, Zha, Hongbin, editor, Zhou, Jie, editor, and Liu, Cheng-Lin, editor

Published
2025
Full Text
View/download PDF

5. Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA

Author

Yang, Kaiyuan, Musio, Fabio, Ma, Yihui, Juchler, Norman, Paetzold, Johannes C., Al-Maskari, Rami, Höher, Luciano, Li, Hongwei Bran, Hamamci, Ibrahim Ethem, Sekuboyina, Anjany, Shit, Suprosanna, Huang, Houjing, Prabhakar, Chinmay, de la Rosa, Ezequiel, Waldmannstetter, Diana, Kofler, Florian, Navarro, Fernando, Menten, Martin, Ezhov, Ivan, Rueckert, Daniel, Vos, Iris, Ruigrok, Ynte, Velthuis, Birgitta, Kuijf, Hugo, Hämmerli, Julien, Wurster, Catherine, Bijlenga, Philippe, Westphal, Laura, Bisschop, Jeroen, Colombo, Elisa, Baazaoui, Hakim, Makmur, Andrew, Hallinan, James, Wiestler, Bene, Kirschke, Jan S., Wiest, Roland, Montagnon, Emmanuel, Letourneau-Guillon, Laurent, Galdran, Adrian, Galati, Francesco, Falcetta, Daniele, Zuluaga, Maria A., Lin, Chaolong, Zhao, Haoran, Zhang, Zehan, Ra, Sinyoung, Hwang, Jongyun, Park, Hyunjin, Chen, Junqiang, Wodzinski, Marek, Müller, Henning, Shi, Pengcheng, Liu, Wei, Ma, Ting, Yalçin, Cansu, Hamadache, Rachika E., Salvi, Joaquim, Llado, Xavier, Estrada, Uma Maria Lal-Trehan, Abramova, Valeriia, Giancardo, Luca, Oliver, Arnau, Liu, Jialu, Huang, Haibin, Cui, Yue, Lin, Zehang, Liu, Yusheng, Zhu, Shunzhi, Patel, Tatsat R., Tutino, Vincent M., Orouskhani, Maysam, Wang, Huayu, Mossa-Basha, Mahmud, Zhu, Chengcheng, Rokuss, Maximilian R., Kirchhoff, Yannick, Disch, Nico, Holzschuh, Julius, Isensee, Fabian, Maier-Hein, Klaus, Sato, Yuki, Hirsch, Sven, Wegener, Susanne, and Menze, Bjoern

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Quantitative Biology - Quantitative Methods, Quantitative Biology - Tissues and Organs
Abstract

The Circle of Willis (CoW) is an important network of arteries connecting major circulations of the brain. Its vascular architecture is believed to affect the risk, severity, and clinical outcome of serious neuro-vascular diseases. However, characterizing the highly variable CoW anatomy is still a manual and time-consuming expert task. The CoW is usually imaged by two angiographic imaging modalities, magnetic resonance angiography (MRA) and computed tomography angiography (CTA), but there exist limited public datasets with annotations on CoW anatomy, especially for CTA. Therefore we organized the TopCoW Challenge in 2023 with the release of an annotated CoW dataset. The TopCoW dataset was the first public dataset with voxel-level annotations for thirteen possible CoW vessel components, enabled by virtual-reality (VR) technology. It was also the first large dataset with paired MRA and CTA from the same patients. TopCoW challenge formalized the CoW characterization problem as a multiclass anatomical segmentation task with an emphasis on topological metrics. We invited submissions worldwide for the CoW segmentation task, which attracted over 140 registered participants from four continents. The top performing teams managed to segment many CoW components to Dice scores around 90%, but with lower scores for communicating arteries and rare variants. There were also topological mistakes for predictions with high Dice scores. Additional topological analysis revealed further areas for improvement in detecting certain CoW components and matching CoW variant topology accurately. TopCoW represented a first attempt at benchmarking the CoW anatomical segmentation task for MRA and CTA, both morphologically and topologically., Comment: 24 pages, 11 figures, 9 tables. Summary Paper for the MICCAI TopCoW 2023 Challenge

Published
2023

6. High-Order Structure Based Middle-Feature Learning for Visible-Infrared Person Re-Identification

Author

Qiu, Liuxiang, Chen, Si, Yan, Yan, Xue, Jing-Hao, Wang, Da-Han, and Zhu, Shunzhi

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Visible-infrared person re-identification (VI-ReID) aims to retrieve images of the same persons captured by visible (VIS) and infrared (IR) cameras. Existing VI-ReID methods ignore high-order structure information of features while being relatively difficult to learn a reasonable common feature space due to the large modality discrepancy between VIS and IR images. To address the above problems, we propose a novel high-order structure based middle-feature learning network (HOS-Net) for effective VI-ReID. Specifically, we first leverage a short- and long-range feature extraction (SLE) module to effectively exploit both short-range and long-range features. Then, we propose a high-order structure learning (HSL) module to successfully model the high-order relationship across different local features of each person image based on a whitened hypergraph network.This greatly alleviates model collapse and enhances feature representations. Finally, we develop a common feature space learning (CFL) module to learn a discriminative and reasonable common feature space based on middle features generated by aligning features from different modalities and ranges. In particular, a modality-range identity-center contrastive (MRIC) loss is proposed to reduce the distances between the VIS, IR, and middle features, smoothing the training process. Extensive experiments on the SYSU-MM01, RegDB, and LLCM datasets show that our HOS-Net achieves superior state-of-the-art performance. Our code is available at \url{https://github.com/Jaulaucoeng/HOS-Net}., Comment: Accepted by AAAI-2024

Published
2023

7. Exploring the collision, acoustic and thermal energy dissipation distribution of discrete mass

Author

Zhang Shengwu, Wang Chiming, Zhang Yuanchao, Xu Wei, Li Yanan, Cheng Jianwei, and Zhu Shunzhi

Subjects
Discrete mass, Collision energy dissipation, Thermal energy dissipation, Acoustic energy dissipation, Discrete element method, Medicine, Science
Abstract

Abstract This research delves into the transfer and loss of energy in a discrete mass when subjected to forced vibration. Using discrete element method (DEM), we analyzed the dynamic behavior of regular spherical granular assemblies and the energy distribution characteristics under different excitation frequencies and reduced accelerations. Moreover, the energy transfer and dissipation process of granular assemblies under different vibration states are studied using an experimental method. The results show that the granular assemblies will produce collision energy dissipation, thermal energy dissipation, acoustic energy dissipation and other forms of energy dissipation in the forced vibration state and the proportion of different energy dissipation under different excitation is given. The collision and friction of granular assemblies are the key to affecting other forms of energy dissipation. When the excitation increases, the energy dissipation forms are generated inside the granular assemblies, and the proportion of collision energy dissipation of the granular assemblies increases. The acoustic energy above 20 kHz occupies the main part of the acoustic energy dissipation. Thermal energy consumption always exists, which takes a long time to play a role. The granular also have other forms of energy loss, which is hard to be measured, including Rayleigh waves generated by granular collision. In this study, the relationship between the forced vibration state of the granular assemblies and the energy loss distribution is established. Various types of energy transfer and conversion distribution which further enriches the energy dissipation of discrete element calculation of the granular assemblies is discussed and provides a reference for the energy loss analysis of the granular assemblies.

Published
2024
Full Text
View/download PDF

8. GridIIS: Grid Based Interactive Image Segmentation

Author

Zhu, Pengqi, Wang, Da-Han, Zhu, Shunzhi, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Liu, Qingshan, editor, Wang, Hanzi, editor, Ma, Zhanyu, editor, Zheng, Weishi, editor, Zha, Hongbin, editor, Chen, Xilin, editor, Wang, Liang, editor, and Ji, Rongrong, editor

Published
2024
Full Text
View/download PDF

9. UAM-Net: An Attention-Based Multi-level Feature Fusion UNet for Remote Sensing Image Segmentation

Author

Cao, Yiwen, Jiang, Nanfeng, Wang, Da-Han, Wu, Yun, Zhu, Shunzhi, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Liu, Qingshan, editor, Wang, Hanzi, editor, Ma, Zhanyu, editor, Zheng, Weishi, editor, Zha, Hongbin, editor, Chen, Xilin, editor, Wang, Liang, editor, and Ji, Rongrong, editor

Published
2024
Full Text
View/download PDF

10. Pseudo Labels Refinement with Stable Cluster Reconstruction for Unsupervised Re-identification

Author

Liu, Zhenyu, Lian, Jiawei, Wu, Jiahua, Wang, Da-Han, Wu, Yun, Zhu, Shunzhi, Ge, Dewu, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Liu, Qingshan, editor, Wang, Hanzi, editor, Ma, Zhanyu, editor, Zheng, Weishi, editor, Zha, Hongbin, editor, Chen, Xilin, editor, Wang, Liang, editor, and Ji, Rongrong, editor

Published
2024
Full Text
View/download PDF

11. MCKIE: Multi-class Key Information Extraction from Complex Documents Based on Graph Convolutional Network

Author

Huang, Zhicai, Xiao, Shunxin, Wang, Da-Han, Zhu, Shunzhi, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Liu, Qingshan, editor, Wang, Hanzi, editor, Ma, Zhanyu, editor, Zheng, Weishi, editor, Zha, Hongbin, editor, Chen, Xilin, editor, Wang, Liang, editor, and Ji, Rongrong, editor

Published
2024
Full Text
View/download PDF

19. A Shallow Graph Neural Network with Innovative Node Updating for Online Handwritten Stroke Classification

Author

Wang, Yan-Rong, Wang, Da-Han, Yun, Xiao-Long, Zhang, Yan-Ming, Yin, Fei, Zhu, Shunzhi, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Fink, Gernot A., editor, Jain, Rajiv, editor, Kise, Koichi, editor, and Zanibbi, Richard, editor

Published
2023
Full Text
View/download PDF

20. Graph Attention Transformer Network for Robust Visual Tracking

Author

Wang, Libo, Chen, Si, Wang, Zhen, Wang, Da-Han, Zhu, Shunzhi, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Tanveer, Mohammad, editor, Agarwal, Sonali, editor, Ozawa, Seiichi, editor, Ekbal, Asif, editor, and Jatowt, Adam, editor

Published
2023
Full Text
View/download PDF

21. A Novel Clustering Model TEC for Station Classification

Author

Yuan, Lei, Liu, Lijuan, Zhu, Shunzhi, Chen, Long, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, and Barolli, Leonard, editor

Published
2023
Full Text
View/download PDF

29. Joint Pixel-Level and Feature-Level Unsupervised Domain Adaptation for Surveillance Face Recognition

Author

Zhu, Huangkai, Yin, Huayi, Xia, Du, Wang, Da-Han, Liu, Xianghao, Zhu, Shunzhi, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Yu, Shiqi, editor, Zhang, Zhaoxiang, editor, Yuen, Pong C., editor, Han, Junwei, editor, Tan, Tieniu, editor, Guo, Yike, editor, Lai, Jianhuang, editor, and Zhang, Jianguo, editor

Published
2022
Full Text
View/download PDF

30. Semantic-Aware Non-local Network for Handwritten Mathematical Expression Recognition

Author

Liu, Xiang-Hao, Wang, Da-Han, Du, Xia, Zhu, Shunzhi, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Yu, Shiqi, editor, Zhang, Zhaoxiang, editor, Yuen, Pong C., editor, Han, Junwei, editor, Tan, Tieniu, editor, Guo, Yike, editor, Lai, Jianhuang, editor, and Zhang, Jianguo, editor

Published
2022
Full Text
View/download PDF

31. Exploiting Robust Memory Features for Unsupervised Reidentification

Author

Lian, Jiawei, Wang, Da-Han, Du, Xia, Wu, Yun, Zhu, Shunzhi, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Yu, Shiqi, editor, Zhang, Zhaoxiang, editor, Yuen, Pong C., editor, Han, Junwei, editor, Tan, Tieniu, editor, Guo, Yike, editor, Lai, Jianhuang, editor, and Zhang, Jianguo, editor

Published
2022
Full Text
View/download PDF

33. LIDUSA – A Learned Index Structure for Dynamical Uneven Spatial Data

Author

Zhang, Zejian, Wang, Yan, Zhu, Shunzhi, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Lai, Yongxuan, editor, Wang, Tian, editor, Jiang, Min, editor, Xu, Guangquan, editor, Liang, Wei, editor, and Castiglione, Aniello, editor

Published
2022
Full Text
View/download PDF

48. Research and Application of Panoramic Visual Perception-Assisted Navigation Technology for Ships.

Author

Wang, Chiming, Cai, Xiaocong, Li, Yanan, Zhai, Runxuan, Wu, Rongjiong, Zhu, Shunzhi, Guan, Liangqing, Luo, Zhiqiang, Zhang, Shengchao, and Zhang, Jianfeng

Subjects
NAVIGATION in shipping, VISUAL perception, INTELLIGENCE levels, TUGBOATS, EXPLORERS, TRACKING radar
Abstract

In response to challenges such as narrow visibility for ship navigators, limited field of view from a single camera, and complex maritime environments, this study proposes panoramic visual perception-assisted navigation technology. The approach includes introducing a region-of-interest search method based on SSIM and an elliptical weighted fusion method, culminating in the development of the ship panoramic visual stitching algorithm SSIM-EW. Additionally, the YOLOv8s model is improved by increasing the size of the detection head, introducing GhostNet, and replacing the regression loss function with the WIoU loss function, and a perception model yolov8-SGW for sea target detection is proposed. The experimental results demonstrate that the SSIM-EW algorithm achieves the highest PSNR indicator of 25.736, which can effectively reduce the stitching traces and significantly improve the stitching quality of panoramic images. Compared to the baseline model, the YOLOv8-SGW model shows improvements in the P, R, and mAP50 of 1.5%, 4.3%, and 2.3%, respectively, its mAP50 is significantly higher than that of other target detection models, and the detection ability of small targets at sea has been significantly improved. Implementing these algorithms in tugboat operations at ports enhances the fields of view of navigators, allowing for the identification of targets missed by AISs and radar systems, thus ensuring operational safety and advancing the level of vessel intelligence. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

49. Developing deep LSTMs with later temporal attention for predicting COVID-19 severity, clinical outcome, and antibody level by screening serological indicators over time

Author

Cai, Jiaxin, primary, Li, Yang, additional, Liu, Baichen, additional, Wu, Zhixi, additional, Zhu, Shengjun, additional, Chen, Qiliang, additional, Lei, Qing, additional, Hou, Hongyan, additional, Guo, Zhibin, additional, Jiang, Hewei, additional, Guo, Shujuan, additional, Wang, Feng, additional, Huang, Shengjing, additional, Zhu, Shunzhi, additional, Fan, Xionglin, additional, and Tao, Shengce, additional

Published
2024
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results