Shijie Chang

According to our database, Shijie Chang authored at least 18 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Super resolution enhanced multi-view stereo network based on Gumbel sampling.

Shichao Wang, Mingxing Jia, Shijie Chang, Dapeng Niu

Expert Syst. Appl., 2026

2025

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model.

Yilong Hu, Shijie Chang, Lihe Zhang, Feng Tian, Weibing Sun, Huchuan Lu

CoRR, July, 2025

Beyond mask: Rethinking guidance types in few-shot segmentation.

Shijie Chang, Youwei Pang, Xiaoqi Zhao, Huchuan Lu, Lihe Zhang

Pattern Recognit., 2025

Generalized deep aerial Multi-view Stereo network based on gradient balance masked representation learning.

Shichao Wang, Mingxing Jia, Shijie Chang, Dapeng Niu

Knowl. Based Syst., 2025

Unified Medical Lesion Segmentation via Self-referring Indicator.

Shijie Chang, Xiaoqi Zhao, Lihe Zhang, Tiancheng Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

An Optimized GPU Implementation for GIST Descriptor.

Xiang Li, Qiong Chang, Aolong Zha, Shijie Chang, Yun Li, Jun Miyazaki

ACM Trans. Archit. Code Optim., December, 2024

Adaptive Multi-Source Predictor for Zero-Shot Video Object Segmentation.

Xiaoqi Zhao, Shijie Chang, Youwei Pang, Jiaxing Yang, Lihe Zhang, Huchuan Lu

Int. J. Comput. Vis., August, 2024

Inspiring the Next Generation of Segment Anything Models: Comprehensively Evaluate SAM and SAM 2 with Diverse Prompts Towards Context-Dependent Concepts under Different Scenes.

Xiaoqi Zhao, Youwei Pang, Shijie Chang, Yuan Zhao, Lihe Zhang, Huchuan Lu, Jinsong Ouyang, Georges El Fakhri, Xiaofeng Liu

CoRR, 2024

High-Performance Few-Shot Segmentation with Foundation Models: An Empirical Study.

Shijie Chang, Lihe Zhang, Huchuan Lu

CoRR, 2024

MA-MIL: Sampling point-level abnormal ECG location method via weakly supervised learning.

Jin Liu, Jiadong Li, Yuxin Duan, Yang Zhou, Xiaoxue Fan, Shuo Li, Shijie Chang

Comput. Methods Programs Biomed., 2024

2023

Tracking Anything in High Quality.

Jiawen Zhu, Zhenyu Chen, Zeqi Hao, Shijie Chang, Lu Zhang, Dong Wang, Huchuan Lu, Bin Luo, Jun-Yan He, Jin-Peng Lan, Han-Yuan Chen, Chenyang Li

CoRR, 2023

3rd Place Solution for PVUW2023 VSS Track: A Large Model for Semantic Segmentation on VSPW.

Shijie Chang, Zeqi Hao, Ben Kang, Xiaoqi Zhao, Jiawen Zhu, Zhenyu Chen, Lihe Zhang, Lu Zhang, Huchuan Lu

CoRR, 2023

The First Visual Object Tracking Segmentation VOTS2023 Challenge Results.

Matej Kristan, Jirí Matas, Martin Danelljan, Michael Felsberg, Hyung Jin Chang, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Zhongqun Zhang, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Christoph Mayer, Yushan Zhang, Lei Ke, Jie Zhao, Gustavo Fernández, Noor Al-Shakarji, Dong An, Michael Arens, Stefan Becker, Goutam Bhat, Sebastian Bullinger, Antoni B. Chan, Shijie Chang, Hanyuan Chen, Xin Chen, Yan Chen, Zhenyu Chen, Yangming Cheng, Yutao Cui, Chunyuan Deng, Jiahua Dong, Matteo Dunnhofer, Wei Feng, Jianlong Fu, Jie Gao, Ruize Han, Zeqi Hao, Jun-Yan He, Keji He, Zhenyu He, Xiantao Hu, Kaer Huang, Yuqing Huang, Yi Jiang, Ben Kang, Jin-Peng Lan, Hyungjun Lee, Chenyang Li, Jiahao Li, Ning Li, Wangkai Li, Xiaodi Li, Xin Li, Pengyu Liu, Yue Liu, Huchuan Lu, Bin Luo, Ping Luo, Yinchao Ma, Deshui Miao, Christian Micheloni, Kannappan Palaniappan, Hancheol Park, Matthieu Paul, Houwen Peng, Zekun Qian, Gani Rahmon, Norbert Scherer-Negenborn, Pengcheng Shao, Wooksu Shin, Elham Soltani Kazemi, Tianhui Song, Rainer Stiefelhagen, Rui Sun, Chuanming Tang, Zhangyong Tang, Imad Eddine Toubal, Jack Valmadre, Joost van de Weijer, Luc Van Gool, Jash Vira, Stéphane Vujasinovic, Cheng Wan, Jia Wan, Dong Wang, Fei Wang, Feifan Wang, He Wang, Limin Wang, Song Wang, Yaowei Wang, Zhepeng Wang, Gangshan Wu, Jiannan Wu, Qiangqiang Wu, Xiaojun Wu, Anqi Xiao, Jinxia Xie, Chenlong Xu, Min Xu, Tianyang Xu, Yuanyou Xu, Bin Yan, Dawei Yang, Ming-Hsuan Yang, Tianyu Yang, Yi Yang, Zongxin Yang, Xuanwu Yin, Fisher Yu, Hongyuan Yu, Qianjin Yu, Weichen Yu, Yongsheng Yuan, Zehuan Yuan, Jianlin Zhang, Lu Zhang, Tianzhu Zhang, Guodongfang Zhao, Shaochuan Zhao, Yaozong Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang, ChengAo Zong, Kunlong Zuo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

MRI Based Radiomics Approach With Deep Learning for Prediction of Vessel Invasion in Early-Stage Cervical Cancer.

Xiran Jiang, Jiaxin Li, Yangyang Kan, Tao Yu, Shijie Chang, Xianzheng Sha, Hairong Zheng, Yahong Luo, Shanshan Wang

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Automatic consecutive context perceived transformer GAN for serial sectioning image blind inpainting.

Lei Wang, Siqi Zhang, Ling Gu, Jie Zhang, Xiaoyue Zhai, Xianzheng Sha, Shijie Chang

Comput. Biol. Medicine, 2021

A classification system of day 3 human embryos using deep learning.

Chongwei Wu, Wei Yan, Hongtu Li, Jiaxin Li, Hongkai Wang, Shijie Chang, Tao Yu, Ying Jin, Chao Ma, Yahong Luo, Dongxu Yi, Xiran Jiang

Biomed. Signal Process. Control., 2021

Locating abnormal heartbeats in ECG segments based on deep weakly supervised learning.

Yanni Tong, Yinan Sun, Peng Zhou, Yang Shen, Hua Jiang, Xianzheng Sha, Shijie Chang

Biomed. Signal Process. Control., 2021

2020

Consecutive Context Perceive Generative Adversarial Networks for Serial Sections Inpainting.

Siqi Zhang, Lei Wang, Jie Zhang, Ling Gu, Xiran Jiang, Xiaoyue Zhai, Xianzheng Sha, Shijie Chang

IEEE Access, 2020