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ORCIDDongqing Zhang
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2020 – today
- 2023
[c22]Jongheon Jeong, Yang Zou, Taewan Kim, Dongqing Zhang, Avinash Ravichandran, Onkar Dabeer:
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation. CVPR 2023: 19606-19616- [i6]Jongheon Jeong
, Yang Zou, Taewan Kim, Dongqing Zhang, Avinash Ravichandran, Onkar Dabeer:
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation. CoRR abs/2303.14814 (2023) - 2022
- [j13]Xiao Zhang, Jingyi Wang, Liusan Wu, Ming Cheng, Dongqing Zhang:
Prediction of the Total Output Value of China's Construction Industry Based on FGM (1, 1) Model. Axioms 11(9): 450 (2022) - [c21]Yang Zou, Jongheon Jeong, Latha Pemula, Dongqing Zhang, Onkar Dabeer:
SPot-the-Difference Self-supervised Pre-training for Anomaly Detection and Segmentation. ECCV (30) 2022: 392-408 - [i5]Yang Zou, Jongheon Jeong, Latha Pemula, Dongqing Zhang, Onkar Dabeer:
SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation. CoRR abs/2207.14315 (2022) - 2021
- [j12]Dongqing Zhang, Zhaoxia Guo, Feng Guo, Yucheng Dong:
An offline map matching algorithm based on shortest paths. Int. J. Geogr. Inf. Sci. 35(11): 2238-2261 (2021) - [j11]Dongqing Zhang, Yucheng Dong, Zhaoxia Guo:
A turning point-based offline map matching algorithm for urban road networks. Inf. Sci. 565: 32-45 (2021) - [c20]Shixing Chen, Xiaohan Nie, David Fan, Dongqing Zhang, Vimal Bhat, Raffay Hamid:
Shot Contrastive Self-Supervised Learning for Scene Boundary Detection. CVPR 2021: 9796-9805 - [i4]Shixing Chen, Xiaohan Nie, David Fan, Dongqing Zhang, Vimal Bhat, Raffay Hamid:
Shot Contrastive Self-Supervised Learning for Scene Boundary Detection. CoRR abs/2104.13537 (2021) - 2020
- [j10]Dongqing Zhang, Jianing Wang, Jack H. Noble, Benoit M. Dawant:
HeadLocNet: Deep convolutional neural networks for accurate classification and multi-landmark localization of head CTs. Medical Image Anal. 61: 101659 (2020) - [c19]Yubo Fan, Dongqing Zhang, Jianing Wang, Jack H. Noble, Benoit M. Dawant:
Combining model- and deep-learning-based methods for the accurate and robust segmentation of the intra-cochlear anatomy in clinical head CT images. Image Processing 2020: 113131D
2010 – 2019
- 2019
- [b1]Dongqing Zhang:
Machine Learning-based Techniques for Automating Image-Guided cochlear implant Programming. Vanderbilt University, Nashville, Tennessee, USA, 2019 - [c18]Dongqing Zhang, Zhenyu Liu:
Application of Weighted K-Means Decision Cluster Classifier in the Recognition of Infectious Expressions of Primary School Students Reading. ADMA 2019: 863-870 - [c17]Minh Vu, Rueben A. Banalagay, Dongqing Zhang, Alejandro Rivas, Loris Fichera, Robert J. Webster III, Robert F. Labadie, Jack H. Noble:
Analysis of middle ear morphology for design of a transnasal endoscope. Image-Guided Procedures 2019: 109512S - [c16]Dongqing Zhang, Rueben A. Banalagay, Jianing Wang, Yiyuan Zhao, Jack H. Noble, Benoit M. Dawant:
Two-level training of a 3D U-Net for accurate segmentation of the intra-cochlear anatomy in head CTs with limited ground truth training data. Image Processing 2019: 1094907 - 2018
- [j9]Dongqing Zhang, Guangming Zang, Jing Li, Kaiping Ma, Huan Liu:
Prediction of soybean price in China using QR-RBF neural network model. Comput. Electron. Agric. 154: 10-17 (2018) - [c15]Dongqing Zhang, Jiaolong Yang, Dongqiangzi Ye, Gang Hua:
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks. ECCV (8) 2018: 373-390 - [c14]Dongqing Zhang, Ilknur Icke, Belma Dogdas, Sarayu Parimal, Smita Sampath, Joseph Forbes, Ansuman Bagchi, Chih-Liang Chin, Antong Chen:
A multi-level convolutional LSTM model for the segmentation of left ventricle myocardium in infarcted porcine cine MR images. ISBI 2018: 470-473 - [c13]Dongqing Zhang, Jianing Wang, Jack H. Noble, Benoit M. Dawant:
Accurate Detection of Inner Ears in Head CTs Using a Deep Volume-to-Volume Regression Network with False Positive Suppression and a Shape-Based Constraint. MICCAI (4) 2018: 703-711 - [c12]Dongqing Zhang, Ilknur Icke, Belma Dogdas, Sarayu Parimal, Smita Sampath, Joseph Forbes, Ansuman Bagchi, Chih-Liang Chin, Antong Chen:
Segmentation of left ventricle myocardium in porcine cardiac cine MR images using a hybrid of fully convolutional neural networks and convolutional LSTM. Image Processing 2018: 105740A - [c11]Dongqing Zhang, Jack H. Noble, Benoit M. Dawant:
Automatic detection of the inner ears in head CT images using deep convolutional neural networks. Image Processing 2018: 1057427 - [i3]Dongqing Zhang, Jianing Wang, Jack H. Noble, Benoit M. Dawant:
Accurate Detection of Inner Ears in Head CTs Using a Deep Volume-to-Volume Regression Network with False Positive Suppression and a Shape-Based Constraint. CoRR abs/1806.04725 (2018) - [i2]Dongqing Zhang, Jiaolong Yang, Dongqiangzi Ye, Gang Hua:
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks. CoRR abs/1807.10029 (2018) - [i1]Dongqing Zhang, Ilknur Icke, Belma Dogdas, Sarayu Parimal, Smita Sampath, Joseph Forbes, Ansuman Bagchi, Chih-Liang Chin, Antong Chen:
A multi-level convolutional LSTM model for the segmentation of left ventricle myocardium in infarcted porcine cine MR images. CoRR abs/1811.06051 (2018) - 2017
- [j8]Loris Fichera, Neal P. Dillon, Dongqing Zhang, Isuru S. Godage, Michael A. Siebold, Bryan I. Hartley, Jack H. Noble, Paul T. Russell III, Robert F. Labadie, Robert J. Webster III:
Through the Eustachian Tube and Beyond: A New Miniature Robotic Endoscope to See Into the Middle Ear. IEEE Robotics Autom. Lett. 2(3): 1488-1494 (2017) - [c10]Zhanning Gao, Gang Hua, Dongqing Zhang, Nebojsa Jojic, Le Wang, Jianru Xue, Nanning Zheng:
ER3: A Unified Framework for Event Retrieval, Recognition and Recounting. CVPR 2017: 2107-2116 - [c9]Jiaolong Yang, Peiran Ren, Dongqing Zhang, Dong Chen, Fang Wen, Hongdong Li, Gang Hua:
Neural Aggregation Network for Video Face Recognition. CVPR 2017: 5216-5225 - [c8]Jianxin Chen, Dongqing Zhang, Yingjie Victor Chen, Zhenyu Cheryl Qian:
Employing Relation Visualizations to Enhance the Shopping Experience on a Used Car Trading Platform. HCI (24) 2017: 16-28 - [c7]Dongqing Zhang, Yiyuan Zhao, Jack H. Noble, Benoit M. Dawant:
Selecting electrode configurations for image-guided cochlear implant programming using template matching. Image-Guided Procedures 2017: 101350Q - 2016
- [j7]Zhaoxia Guo, Dongqing Zhang, Sunney Yung-Sun Leung, Leyuan Shi:
A bi-level evolutionary optimization approach for integrated production and transportation scheduling. Appl. Soft Comput. 42: 215-228 (2016) - [c6]Dongqing Zhang, Yuan Liu, Jack H. Noble, Benoit M. Dawant:
Automatic localization of landmark sets in head CT images with regression forests for image registration initialization. Image Processing 2016: 97841M - 2015
- [j6]Jing Li, Daniel Rodríguez, Dongqing Zhang, Kaiping Ma:
Crop rotation model for contract farming with constraints on similar profits. Comput. Electron. Agric. 119: 12-18 (2015) - [c5]Dongqing Zhang, Marc L. Bennett, Robert F. Labadie, Jack H. Noble:
Simulation of trans-nasal endoscopy of the middle ear for visualization of cholesteatoma. ISBI 2015: 1415-1418 - 2014
- [c4]Dongqing Zhang, Wu-Jun Li:
Large-Scale Supervised Multimodal Hashing with Semantic Correlation Maximization. AAAI 2014: 2177-2183 - 2013
- [j5]Yubing Han, Dongqing Zhang:
A recursive Bayesian beamforming for steering vector uncertainties. EURASIP J. Adv. Signal Process. 2013: 108 (2013) - [j4]Dejun Tang, Weishi Zhang, Xiaolu Qu, Dongqing Zhang:
Improved active shape model and its application to facial feature extraction. J. Electronic Imaging 22(3): 033023 (2013) - 2012
- [c3]Peng Wang, Dongqing Zhang, Gang Zeng, Jingdong Wang:
Contextual Dominant Color Name Extraction for Web Image Search. ICME Workshops 2012: 319-324 - [c2]Peng Wang, Dongqing Zhang, Jingdong Wang, Zhong Wu, Xian-Sheng Hua, Shipeng Li:
Color filter for image search. ACM Multimedia 2012: 1327-1328 - 2010
- [j3]Dejun Tang, Dongqing Zhang, Yonghu Yang, Zhenyu Liu:
Robust non-fragile control for the switched discrete-time linear system. Int. J. Model. Identif. Control. 10(1/2): 152-159 (2010) - [j2]Jeffrey W. Prescott, Dongqing Zhang, Jian Z. Wang, Nina A. Mayr, William T. C. Yuh, Joel H. Saltz, Metin N. Gurcan:
Temporal Analysis of Tumor Heterogeneity and Volume for Cervical Cancer Treatment Outcome Prediction: Preliminary Evaluation. J. Digit. Imaging 23(3): 342-357 (2010)
2000 – 2009
- 2009
- [j1]Dongqing Zhang, Xuanxi Ning, Xueni Liu:
SMC method for online prediction in hidden Markov models. Kybernetes 38(10): 1819-1827 (2009) - 2008
- [c1]Jeffrey W. Prescott, Dongqing Zhang, Jian Z. Wang, Nina A. Mayr, William T. C. Yuh, Joel H. Saltz, Metin N. Gurcan:
Cancer treatment outcome prediction by assessing temporal change: application to cervical cancer. Computer-Aided Diagnosis 2008: 69152X
Coauthor Index
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