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Jinghao Zhou
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2020 – today
- 2024
- [c22]Jinghao Zhou, Tomas Jakab, Philip Torr, Christian Rupprecht
:
Scene-Conditional 3D Object Stylization and Composition. ECCV (68) 2024: 289-305 - [c21]Xingbin Liu, Jinghao Zhou, Tao Kong, Xianming Lin, Rongrong Ji:
Exploring Target Representations for Masked Autoencoders. ICLR 2024 - 2023
- [j5]Guodong Chen, Zheng Li, Jian Wang, Jun Wang, Shisuo Du, Jinghao Zhou, Jun Shi, Yongkang Zhou:
An improved 3D KiU-Net for segmentation of liver tumor. Comput. Biol. Medicine 160: 107006 (2023) - [j4]Fenglin Han
A Restorable, Variable Stiffness Pneumatic Soft Gripper Based on Jamming of Strings of Beads. IEEE Trans. Robotics 39(5): 4065-4077 (2023) - [c20]Jinghao Zhou, Li Dong, Zhe Gan, Lijuan Wang, Furu Wei:
Non-Contrastive Learning Meets Language-Image Pre-Training. CVPR 2023: 11028-11038 - [i11]Jinghao Zhou, Tomas Jakab, Philip Torr, Christian Rupprecht:
Scene-Conditional 3D Object Stylization and Composition. CoRR abs/2312.12419 (2023) - 2022
- [j3]Guotai Wang
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis From Lung CT Scans With Multi-Scale Guided Dense Attention. IEEE Trans. Medical Imaging 41(3): 531-542 (2022) - [j2]Dong Yang, Giovanni Lasio, Baoshe Zhang, Byong Yi
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. J. Signal Process. Syst. 94(5): 473-483 (2022) - [c19]Jinghao Zhou, Chen Wei, Huiyu Wang, Wei Shen, Cihang Xie, Alan L. Yuille, Tao Kong:
Image BERT Pre-training with Online Tokenizer. ICLR 2022 - [c18]Lu Yang, Hongbang Liu, Lingqiao Liu
Pluggable Weakly-Supervised Cross-View Learning for Accurate Vehicle Re-Identification. ICMR 2022: 81-89 - [i10]Xingbin Liu, Jinghao Zhou, Tao Kong, Xianming Lin, Rongrong Ji:
Exploring Target Representations for Masked Autoencoders. CoRR abs/2209.03917 (2022) - [i9]Jinghao Zhou, Li Dong, Zhe Gan, Lijuan Wang, Furu Wei:
Non-Contrastive Learning Meets Language-Image Pre-Training. CoRR abs/2210.09304 (2022) - 2021
- [i8]Lu Yang, Hongbang Liu, Jinghao Zhou, Lingqiao Liu, Lei Zhang, Peng Wang, Yanning Zhang:
Pluggable Weakly-Supervised Cross-View Learning for Accurate Vehicle Re-Identification. CoRR abs/2103.05376 (2021) - [i7]Bingliang Jiao, Xin Tan, Jinghao Zhou, Lu Yang, Yunlong Wang, Peng Wang:
Instance and Pair-Aware Dynamic Networks for Re-Identification. CoRR abs/2103.05395 (2021) - [i6]Jinghao Zhou, Bo Li, Lei Qiao, Peng Wang, Weihao Gan, Wei Wu, Junjie Yan, Wanli Ouyang:
Higher Performance Visual Tracking with Dual-Modal Localization. CoRR abs/2103.10089 (2021) - [i5]Jinghao Zhou, Bo Li, Peng Wang, Peixia Li, Weihao Gan, Wei Wu, Junjie Yan, Wanli Ouyang:
Real-Time Visual Object Tracking via Few-Shot Learning. CoRR abs/2103.10130 (2021) - [i4]Weidong Lin, Yuyan Deng, Yang Gao, Ning Wang, Jinghao Zhou, Lingqiao Liu, Lei Zhang, Peng Wang:
CAT: Cross-Attention Transformer for One-Shot Object Detection. CoRR abs/2104.14984 (2021) - [i3]Guotai Wang, Shuwei Zhai, Giovanni Lasio, Baoshe Zhang, Byong Yi, Shifeng Chen, Thomas J. Macvittie, Dimitris N. Metaxas, Jinghao Zhou, Shaoting Zhang:
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis from Lung CT Scans with Multi-Scale Guided Dense Attention. CoRR abs/2109.14172 (2021) - [i2]Jinghao Zhou, Chen Wei, Huiyu Wang, Wei Shen, Cihang Xie, Alan L. Yuille, Tao Kong:
iBOT: Image BERT Pre-Training with Online Tokenizer. CoRR abs/2111.07832 (2021) - 2020
- [c17]Jinghao Zhou, Peng Wang, Haoyang Sun:
Discriminative and Robust Online Learning for Siamese Visual Tracking. AAAI 2020: 13017-13024 - [c16]Heng Fan, Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Haibin Ling, Mubarak Shah
VisDrone-SOT2020: The Vision Meets Drone Single Object Tracking Challenge Results. ECCV Workshops (4) 2020: 728-749
2010 – 2019
- 2019
- [c15]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
VisDrone-SOT2019: The Vision Meets Drone Single Object Tracking Challenge Results. ICCV Workshops 2019: 199-212 - [i1]Jinghao Zhou, Peng Wang, Haoyang Sun:
Discriminative and Robust Online Learning for Siamese Visual Tracking. CoRR abs/1909.02959 (2019) - 2015
- [j1]Jinghao Zhou
Automated compromised right lung segmentation method using a robust atlas-based active volume model with sparse shape composition prior in CT. Comput. Medical Imaging Graph. 46: 47-55 (2015) - [c14]Yeqing Li, Chen Chen, Jinghao Zhou, Junzhou Huang
Robust image registration in the gradient domain. ISBI 2015: 605-608 - 2014
- [c13]Jinghao Zhou, Giovanni Lasio, Baoshe Zhang, Karl Prado, Warren D. D'Souza, Zhennan Yan, Dimitris N. Metaxas:
Efficient deformable model with sparse shape composition prior on compromised right lung segmentation in CT. ICSAI 2014: 764-768 - 2010
- [c12]Baiyang Liu, Lin Yang, Casimir A. Kulikowski, Jinghao Zhou, Leiguang Gong, David J. Foran, Salma J. Jabbour, Ning J. Yue:
An adaptive tracking algorithm of lung tumors in fluoroscopy using online learned collaborative trackers. ISBI 2010: 209-212
2000 – 2009
- 2009
- [c11]Shaoting Zhang
3D segmentation of rodent brains using deformable models and variational methods. CVPR Workshops 2009: 94-100 - [c10]Jinghao Zhou, Sukmoon Chang, Shaoting Zhang
Segmentation of Rodent Brains from MRI Based on a Novel Statistical Structure Prediction Method. ISBI 2009: 498-501 - [c9]Ting Chen, Sung N. Kim, Jinghao Zhou, Dimitris N. Metaxas, Gunaretnam Rajagopal
3D Meshless Prostate Segmentation and Registration in Image Guided Radiotherapy. MICCAI (1) 2009: 43-50 - 2008
- [c8]Jinghao Zhou, Sukmoon Chang, Qingshan Liu, George J. Pappas, Vasilios Boronikolas, Michael Michaelides, Nora D. Volkow, Panayotis K. Thanos, Dimitris N. Metaxas:
A novel learning based segmentation method for rodent brain structures using MRI. ISBI 2008: 61-64 - 2007
- [c7]Shaohua Kevin Zhou, Jinghao Zhou, Dorin Comaniciu
A boosting regression approach to medical anatomy detection. CVPR 2007 - [c6]Jinghao Zhou, Sukmoon Chang, Dimitris N. Metaxas, Leon Axel:
Vascular Structure Segmentation and Bifurcation Detection. ISBI 2007: 872-875 - [c5]Sukmoon Chang, Jinghao Zhou, Qingshan Liu, Dimitris N. Metaxas, Bruce G. Haffty, Sung N. Kim, Salma J. Jabbour, Ning J. Yue:
Registration of Lung Tissue Between Fluoroscope and CT Images: Determination of Beam Gating Parameters in Radiotherapy. MICCAI (1) 2007: 751-758 - 2006
- [c4]Jinghao Zhou, Sukmoon Chang, Dimitris N. Metaxas, Binsheng Zhao, Michelle S. Ginsberg, Lawrence H. Schwartz:
An Automatic Method for Ground Glass Opacity Nodule Detection and Segmentation from CT Studies. EMBC 2006: 3062-3065 - [c3]Jinghao Zhou, Sukmoon Chang, Dimitris N. Metaxas, Leon Axel:
Vessel boundary extraction using ridge scan-conversion deformable model. ISBI 2006: 189-192 - [c2]Jinghao Zhou, Sukmoon Chang, Dimitris N. Metaxas, Binsheng Zhao, Lawrence H. Schwartz, Michelle S. Ginsberg:
Automatic Detection and Segmentation of Ground Glass Opacity Nodules. MICCAI (1) 2006: 784-791 - [c1]Sukmoon Chang, Jinghao Zhou, Dimitris N. Metaxas, Leon Axel:
False-positive elimination for computer-aided detection of pulmonary micronodules. Image Processing 2006: 61445F
Coauthor Index
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