Jinghao Zhou

According to our database, Jinghao Zhou authored at least 33 papers between 2006 and 2024.

Collaborative distances:

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

2024

Exploring Target Representations for Masked Autoencoders.

Xingbin Liu, Jinghao Zhou, Tao Kong, Xianming Lin, Rongrong Ji

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Scene-Conditional 3D Object Stylization and Composition.

Jinghao Zhou, Tomas Jakab, Philip Torr, Christian Rupprecht

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

A Restorable, Variable Stiffness Pneumatic Soft Gripper Based on Jamming of Strings of Beads.

Fenglin Han, Lei Fei, Run Zou, Weijian Li, Jinghao Zhou, Haiming Zhao

IEEE Trans. Robotics, October, 2023

An improved 3D KiU-Net for segmentation of liver tumor.

Guodong Chen, Zheng Li, Jian Wang, Jun Wang, Shisuo Du, Jinghao Zhou, Jun Shi, Yongkang Zhou

Comput. Biol. Medicine, June, 2023

Non-Contrastive Learning Meets Language-Image Pre-Training.

Jinghao Zhou, Li Dong, Zhe Gan, Lijuan Wang, Furu Wei

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Automated Pulmonary Fibrosis Segmentation Using a 3D Multi-Scale Convolutional Encoder-Decoder Approach in Thoracic CT for the Rhesus Macaque with Radiation-Induced Lung Damage.

Dong Yang, Giovanni Lasio, Baoshe Zhang, Byong Yi, Shifeng Chen, Yin Zhang, Thomas J. Macvittie, Dimitris N. Metaxas, Jinghao Zhou

J. Signal Process. Syst., 2022

Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis From Lung CT Scans With Multi-Scale Guided Dense Attention.

Guotai Wang, Shuwei Zhai, Giovanni Lasio, Baoshe Zhang, Byong Yi, Shifeng Chen, Thomas J. Macvittie, Dimitris N. Metaxas, Jinghao Zhou, Shaoting Zhang

IEEE Trans. Medical Imaging, 2022

Pluggable Weakly-Supervised Cross-View Learning for Accurate Vehicle Re-Identification.

Lu Yang, Hongbang Liu, Lingqiao Liu, Jinghao Zhou, Lei Zhang, Peng Wang, Yanning Zhang

Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

Image BERT Pre-training with Online Tokenizer.

Jinghao Zhou, Chen Wei, Huiyu Wang, Wei Shen, Cihang Xie, Alan L. Yuille, Tao Kong

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

iBOT: Image BERT Pre-Training with Online Tokenizer.

Jinghao Zhou, Chen Wei, Huiyu Wang, Wei Shen, Cihang Xie, Alan L. Yuille, Tao Kong

CoRR, 2021

CAT: Cross-Attention Transformer for One-Shot Object Detection.

Weidong Lin, Yuyan Deng, Yang Gao, Ning Wang, Jinghao Zhou, Lingqiao Liu, Lei Zhang, Peng Wang

CoRR, 2021

Real-Time Visual Object Tracking via Few-Shot Learning.

Jinghao Zhou, Bo Li, Peng Wang, Peixia Li, Weihao Gan, Wei Wu, Junjie Yan, Wanli Ouyang

CoRR, 2021

Higher Performance Visual Tracking with Dual-Modal Localization.

Jinghao Zhou, Bo Li, Lei Qiao, Peng Wang, Weihao Gan, Wei Wu, Junjie Yan, Wanli Ouyang

CoRR, 2021

Instance and Pair-Aware Dynamic Networks for Re-Identification.

Bingliang Jiao, Xin Tan, Jinghao Zhou, Lu Yang, Yunlong Wang, Peng Wang

CoRR, 2021

Pluggable Weakly-Supervised Cross-View Learning for Accurate Vehicle Re-Identification.

Lu Yang, Hongbang Liu, Jinghao Zhou, Lingqiao Liu, Lei Zhang, Peng Wang, Yanning Zhang

CoRR, 2021

2020

VisDrone-SOT2020: The Vision Meets Drone Single Object Tracking Challenge Results.

Heng Fan, Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Haibin Ling, Mubarak Shah, Biao Wang, Bin Dong, Di Yuan, Dong Wang, Dongjie Zhou, Haoyang Sun, Hossein Ghanei-Yakhdan, Huchuan Lu, Javad Khaghani, Jinghao Zhou, Keyang Wang, Lei Pang, Lei Zhang, Li Cheng, Liting Lin, Lu Ding, Nana Fan, Peng Wang, Penghao Zhang, Ruiyan Ma, Seyed Mojtaba Marvasti-Zadeh, Shohreh Kasaei, Shuhao Chen, Simiao Lai, Tianyang Xu, Wentao He, Xiaojun Wu, Xin Hou, Xuefeng Zhu, Yanjie Gao, Yanyun Zhao, Yong Wang, Yong Xu, Yubo Sun, Yuting Yang, Yuxuan Li, Zezhou Wang, Zhenwei He, Zhenyu He, Zhipeng Luo, Zhongjian Huang, Zhongzhou Zhang, Zikai Zhang, Zitong Yi

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Discriminative and Robust Online Learning for Siamese Visual Tracking.

Jinghao Zhou, Peng Wang, Haoyang Sun

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

VisDrone-SOT2019: The Vision Meets Drone Single Object Tracking Challenge Results.

Dawei Du, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Bo Han, Chunhui Zhang, Guizhong Liu, Han Wu, Hao Wen, Haoran Wang, Pengfei Zhu, Jiaqing Fan, Jie Chen, Jie Gao, Jie Zhang, Jinghao Zhou, Jinliu Zhou, Jinwang Wang, Jiuqing Wan, Josef Kittler, Kaihua Zhang, Longyin Wen, Kaiqi Huang, Kang Yang, Kangkai Zhang, Lianghua Huang, Lijun Zhou, Lingling Shi, Lu Ding, Ning Wang, Peng Wang, Qintao Hu, Xiao Bian, Robert Laganière, Ruiyan Ma, Ruohan Zhang, Shanrong Zou, Shengwei Zhao, Shengyang Li, Shengyin Zhu, Shikun Li, Shiming Ge, Shiyu Xuan, Haibin Ling, Tianyang Xu, Ting He, Wei Shi, Wei Song, Weiming Hu, Wenhua Zhang, Wenjun Zhu, Xi Yu, Xianhai Wang, Xiaojun Wu, Qinghua Hu, Xiaotong Li, Xiaoxue Li, Xiaoyue Yin, Xin Zhang, Xin Zhao, Xizhe Xue, Xu Lei, Xueyuan Yang, Yanjie Gao, Yanyun Zhao, Jiayu Zheng, Yinda Xu, Ying Li, Yong Wang, Yong Yang, Yuting Yang, Yuxuan Li, Zeyu Wang, Zhenhua Feng, Zhipeng Zhang, Zhiyong Yu, Tao Peng, Zhizhao Duan, Zhuojin Sun, Xinyao Wang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2015

Automated compromised right lung segmentation method using a robust atlas-based active volume model with sparse shape composition prior in CT.

Jinghao Zhou, Zhennan Yan, Giovanni Lasio, Junzhou Huang, Baoshe Zhang, Navesh Sharma, Karl Prado, Warren D. D'Souza

Comput. Medical Imaging Graph., 2015

Robust image registration in the gradient domain.

Yeqing Li, Chen Chen, Jinghao Zhou, Junzhou Huang

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014

Efficient deformable model with sparse shape composition prior on compromised right lung segmentation in CT.

Jinghao Zhou, Giovanni Lasio, Baoshe Zhang, Karl Prado, Warren D. D'Souza, Zhennan Yan, Dimitris N. Metaxas

Proceedings of the 2nd International Conference on Systems and Informatics, 2014

2010

An adaptive tracking algorithm of lung tumors in fluoroscopy using online learned collaborative trackers.

Baiyang Liu, Lin Yang, Casimir A. Kulikowski, Jinghao Zhou, Leiguang Gong, David J. Foran, Salma J. Jabbour, Ning J. Yue

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009

3D Meshless Prostate Segmentation and Registration in Image Guided Radiotherapy.

Ting Chen, Sung N. Kim, Jinghao Zhou, Dimitris N. Metaxas, Gunaretnam Rajagopal, Ning J. Yue

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Segmentation of Rodent Brains from MRI Based on a Novel Statistical Structure Prediction Method.

Jinghao Zhou, Sukmoon Chang, Shaoting Zhang, George J. Pappas, Michael Michaelides, Foteini Delis, Nora D. Volkow, Panayotis K. Thanos, Dimitris N. Metaxas

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

3D segmentation of rodent brains using deformable models and variational methods.

Shaoting Zhang, Jinghao Zhou, Xiaoxu Wang, Sukmoon Chang, Dimitris N. Metaxas, George J. Pappas, Foteini Delis, Nora D. Volkow, Gene-Jack Wang, Panayotis K. Thanos, Chandra Kambhamettu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

2008

A novel learning based segmentation method for rodent brain structures using MRI.

Jinghao Zhou, Sukmoon Chang, Qingshan Liu, George J. Pappas, Vasilios Boronikolas, Michael Michaelides, Nora D. Volkow, Panayotis K. Thanos, Dimitris N. Metaxas

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2007

Registration of Lung Tissue Between Fluoroscope and CT Images: Determination of Beam Gating Parameters in Radiotherapy.

Sukmoon Chang, Jinghao Zhou, Qingshan Liu, Dimitris N. Metaxas, Bruce G. Haffty, Sung N. Kim, Salma J. Jabbour, Ning J. Yue

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Vascular Structure Segmentation and Bifurcation Detection.

Jinghao Zhou, Sukmoon Chang, Dimitris N. Metaxas, Leon Axel

Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

A boosting regression approach to medical anatomy detection.

Shaohua Kevin Zhou, Jinghao Zhou, Dorin Comaniciu

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006

False-positive elimination for computer-aided detection of pulmonary micronodules.

Sukmoon Chang, Jinghao Zhou, Dimitris N. Metaxas, Leon Axel

Proceedings of the Medical Imaging 2006: Image Processing, 2006

Automatic Detection and Segmentation of Ground Glass Opacity Nodules.

Jinghao Zhou, Sukmoon Chang, Dimitris N. Metaxas, Binsheng Zhao, Lawrence H. Schwartz, Michelle S. Ginsberg

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Vessel boundary extraction using ridge scan-conversion deformable model.

Jinghao Zhou, Sukmoon Chang, Dimitris N. Metaxas, Leon Axel

Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

An Automatic Method for Ground Glass Opacity Nodule Detection and Segmentation from CT Studies.

Jinghao Zhou, Sukmoon Chang, Dimitris N. Metaxas, Binsheng Zhao, Michelle S. Ginsberg, Lawrence H. Schwartz

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006