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曹治國

（華中科技大學人工智能與自動化學院教授）

鎖定
曹治國，現為華中科技大學人工智能與自動化學院教授
研究方向是圖像理解與分析、深度信息提取與真三維視頻處理、運動檢測與行為分析等。
中文名
曹治國
國    籍
中國
民    族
漢族
畢業院校
電子科技大學
學位/學歷
博士
職    業
教師
職    務
博士生導師
教學職稱
教授

目錄

  1. 1 研究方向
  2. 2 人物簡介
  3. 3 學習經歷
  4. 4 競賽獲獎
  5. 5 發表論文

曹治國研究方向

圖像理解與分析、單目深度預測與三維信息處理、運動檢測與行為分析等。 [1] 

曹治國人物簡介

曹治國，現為華中科技大學人工智能與自動化學院教授、博士生導師、中國自動化學會高級會員、湖北省人工智能學會副理事長，研究方向是圖像理解與分析、單目深度預測與三維信息處理、運動檢測與行為分析等，研究成果在CVPR、ICCV、ECCV、IEEE TIP、TCSVT、TASE、TGRS、PR、CVIU等本領域國際權威期刊和國際頂級學術會議發表，先後獲得省部級科技獎勵9項。 [1] 

曹治國學習經歷

1981--1985年，電子科技大學學習，電子工程專業，本科生，獲學士學位,
1987--1990年，電子科技大學學習，通信與電子系統專業，研究生，獲碩士學位,
1990—至今，華中科技大學，教師，並於2001年獲華中科技大學模式識別與智能系統專業博士學位. [1] 

曹治國競賽獲獎

  • [1] 指導的本科生王一然、李星毅、施珉和博士生鮮可參加2021CVPR“Mobile AI”挑戰賽，獲“單目深度估計（Monocular Depth Estimation）”項目競賽全球亞軍,
  • [2] 指導的研究生彭珏文、駱賢瑞、鮮可、吳子晉參加2020ECCV“Advances in Image Manipulation”挑戰賽，獲“渲染逼真焦外散景圖像（Rendering Realistic Bokeh）”項目競賽全球亞軍,
  • [3] 指導的博士生鮮可、碩士生鄒紅威、熊昕參加2020ECCV“魯棒視覺挑戰賽（Robust Vision Challenge 2020）”，獲“單目深度預測”項目競賽全球第二名；,
  • [4] 與肖陽副教授一起指導碩士生熊拂、張博深、於泰東等參加2019ICCV“3D hand pose estimation”挑戰賽獲“Depth-based 3D Hand Pose Estimation”任務競賽全球第二名；,
  • [5] 與肖陽副教授一起指導碩士生熊拂、張博深、於泰東等在ICCV2019的“5th workshop on Observing and Understanding hands in Action in conjunction with ICCV2019”上獲得最佳Poster論文獎 ；,
  • [6] 1，指導博士生鮮可、碩士生李睿博參加2018CVPR“魯棒視覺挑戰賽”，獲“單目深度預測”項目競賽全球第二名；,
  • [7] 指導博士生朱昂帆國際會議論文“Real-time Stereo Matching System”，2018年8月9日至11日，在澳大利亞紐卡斯爾市舉行的第十一屆智能機器人與應用國際會議（The 11th International Conference on Intelligent Robotics and Applications）上獲得最佳論文獎,
  • [8] 指導碩士生朱延俊在國際學術期刊《Biosystems Engineering》上發表的論文“In-field automatic observation of wheat heading stage using computer vision”獲得歐洲農業工程師協會頒發的2018年傑出論文獎。, [1] 
  • 2022年1月15日，主要完成的項目“自主無人艇機集羣跨域協同關鍵技術及應用‘擬獲2021 年度廣東省科學技術獎技術發明獎。 [2] 
曹治國 - 圖片來源於紅色石頭50vip 曹治國 - 圖片來源於紅色石頭50vip

曹治國發表論文

1， Chaoyi Hong，Shuaiyuan Du， Ke Xian， Hao Lu， Zhiguo Cao and Weicai Zhong“Composing Photos Like aPhotographer”，IEEE/CVFConference on Computer Vision and Pattern Recognition (CVPR2021)，Jun.2021
2， Jian Cheng，Haipeng Xiong，Zhiguo Cao，and Hao Lu，“Decoupled Two-Stage Crowd Counting and Beyond”， IEEE Transactions on ImageProcessing，Vol.30: 2862—2875, Feb. 2021
3， Liang Liu, Hao Lu, Haipeng Xiong, Ke Xian, ZhiguoCao*, Chunhua Shen, “Counting Objects byBlockwise Classification”，IEEE Transactions on Circuits and Systems for Video Technology, Vol.30(10): 3513—3527, Oct. 2020
4， Liang Liu, Hao Lu, Hongwei Zou, Haipeng Xiong, Zhiguo Cao, Chunhua Shen, “Weighing Counts: Sequential Crowd Counting by Reinforcement Learning”, 16th Europran Conference on Computer Vision，ECCV, 164—181，Aug.23-28,2020, Glasgow,United Kingdom
5，Xin Xiong, Haipeng Xiong, Ke Xian, Chen Zhao, Zhiguo Cao, Xin Li, “Sparse-to-Dense Depth Completion Revisited: Sampling Strategy and GraphConstruction”, 16th Europran Conference on Computer Vision，ECCV, 682-699，Aug.23-28,2020, Glasgow,United Kingdom
6， Xianrui Luo, Juewen Peng, Ke Xian, Zijin Wu, and Zhiguo Cao，“Bokeh Rendering from Defocus Estimation”，16th Europran Conference onComputer Vision-- Advances in ImageManipulation Workshop，ECCV-Workshop, 1—17，Aug.23-28,2020, Glasgow, United Kingdom
7， Yuanzhouhan Cao, Tianqi Zhao, Ke Xian, Chunhua Shen, Zhiguo Cao, Shugong Xu，“Monocular Depth Estimation With Augmented Ordinal Depth Relationships”. IEEE Trans. Circuits Syst.Video Techn. 30(8): 2674-2682 (2020)
8，Zhou,Joey Tianyi; Zhang, Hao; Jin, Di; Peng, Xi; Xiao, Yang; Cao, Zhiguo, “RoSeq: Robust SequenceLabeling”，IEEE Transactions on neuralnetworks and learning systems，Vol.31(7): 2304-2314，July，2020
9， Ke Xian, Jianming Zhang, Oliver Wang, Long Mai, Zhe Lin, and Zhiguo Cao*，“Structure-Guided Ranking Loss for Single Image Depth Prediction”，CVPR2020，IEEE Conference on Computer Vision and Pattern Recognition，611-620，Seattle，USA，June 14-19,2020
10，Haozhe Qi, Chen Feng, Zhiguo Cao*, Feng Zhao, and Yang Xiao，“P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds”，CVPR2020，IEEE Conference on Computer Vision and Pattern Recognition，6329—6338，Seattle，USA，June 14-19,2020
11，Yancheng Wang, Yang Xiao, Fu Xiong, Wenxiang Jiang, Zhiguo Cao, Joey Tianyi Zhou,Junsong Yuan，“3DV: 3D Dynamic Voxel for Action Recognition in Depth Video”，CVPR2020，IEEE Conference on Computer Vision and Pattern Recognition，511-520，Seattle，USA，June 14-19,2020
12，YanLi，Zhang Hai-Tao，Goncalves Jorge，Xiao Yang，Wang Maolin，Guo Yuqi，Sun Chuan，Tang Xiuchuan，Jing Liang，Zhang Mingyang，Huang Xiang，Xiao Ying，Cao, Haosen，Chen Yanyan，Ren Tongxin，Wang Fang，Xiao Yaru，Huang Sufang，Tan Xi， Huang Niannian，Jiao Bo， Cheng Cheng， Zhang Yong，Luo Ailin，Mombaerts Laurent，Jin Junyang，Cao Zhiguo，Li Shusheng，Xu, Hui，Yuan Ye，“An interpretable mortality prediction model for COVID-19 patients”，NATURE MACHINE INTELLIGENCE，Vol.2 No.55: 283—288, May.2020
13，Chen Zhao , Zhiguo Cao , Jiaqi Yang , Ke Xian , Xin Li，“Image Feature Correspondence Selection: a Comparative Study and a NewContribution”，IEEE Transactions on ImageProcessing，Vol.29: 3506—3519, Jan.2020
14，Guilei Hu ; Yang Xiao ; Zhiguo Cao ; Lubin Meng ; Zhiwen Fang ; Joey TianyiZhou ; Junsong Yuan，“Towards Real-time EyeblinkDetection in The Wild: Dataset, Theory and Practices”，IEEE Transactions onInformation Forensics and Security，Vol.15: 2194—2208, Jan.2020,
15，Jiaqi Yang, Chen Zhao , KeXian, Angfan Zhu, Zhiguo Cao*, “Learning to fuse local geometric features for 3D rigiddata matching”，Information Fusion，Vol.61: 24—35, Mar.2020
16，HaipengXiong，Hao Lu，Chengxin Liu，Liang Liu，Zhiguo Cao*，Chunhua Shen， “From Open Set to Closed Set: Counting Objects by SpatialDivide-and-Conquer”，IEEE/CVF International Conference on Computer Vision(ICCV2019), Seoul, Korea, Oct. 27-Nov.2, 2019
17，Fu Xiong ，Boshen Zhang，Yang Xiao*，Zhiguo Cao，Taidong Yu，Joey Tianyi Zhou，Junsong Yuan，“A2J: Anchor-to-Joint Regression Network for 3D Articulated PoseEstimation from a Single Depth Image”，IEEE/CVF International Conference on Computer Vision(ICCV2019), pp793-802，Seoul, Korea, Oct. 27-Nov.2,2019
18，Liang Ye ; Zhiguo Cao ; Yang Xiao ;Zhibiao Yang，“Supervised Fine-Grained Cloud Detection and Recognition in Whole-SkyImages”，IEEE Trans. on Geoscienceand Remote Sensing, 2019,57(10): 7972-7985，Oct.2019
19，Feng Zhao ; Zhiguo Cao ; Yang Xiao* ;Jing Mao ; Junsong Yuan，“Real-Time Detection of FallFrom Bed Using a Single Depth Camera”，IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING，Vol.16: No.3, 1018-1032. July, 2019.
20，Zhou,Joey Tianyi; Fang, Meng; Zhang, Hao; Gong, Chen; Peng, Xi; Cao, Zhiguo; Goh, Rick Siow Mong，“Learning With Annotation ofVarious Degrees”，IEEETransactions on Neural Networks and Learning Systems，Vol.30(9)：2794-2804，Sept. 2019
21，Chen Zhao，ZhiguoCao,Chi Li, Xin Li, and Jiaqi Yang* ，“NM-Net:Mining Reliable Neighbors for Robust Feature Correspondences”，CVPR2019，IEEE Conference onComputer Vision and Pattern Recognition，Long Beach，USA，June 16-20,2019：215--224
22，Jiaqi Yang, Yang Xiao and Zhiguo Cao* ,“Aligning 2.5D Scene Fragments With Distinctive Local Geometric Featuresand Voting-Based Correspondences”，IEEE Transactions on Circuits and Systems for Video Technology, Vol.29(3): 714—729, Mar. 2019,
23，Yang Xiao, Jun Chen, Yancheng Wang, ZhiguoCao*,Joey Tianyi Zhou, Xiang Bai，“Action Recognition forDepth Video using Multi-view Dynamic Images”，Information Sciences ，Vol.480: 287–304, Apr.2019
24，Ruibo Li, Ke Xian,Chunhua Shen, Zhiguo Cao, Hao Lu, Lingxiao Hang，“Deep attention-based classificationnetwork for robust depth prediction”, ACCV 2018, Asian Conference on Computer Vision， Dec.2-7, 2018, Perth，Australia
25，Jiaqi Yang, Yang Xiao and Zhiguo Cao* “Toward the Repeatability and Robustness of the Local Reference Frame for3D Shape Matching: An Evaluation”，IEEE Transactions on Image Processing, Vol.27(8):3766—3781, Aug.2018
26，Hao Lu, Chunhua Shen, Zhiguo Cao*, YangXiao, Anton van den Hengel, “An embarrassingly simpleapproach to visual domain adaptation”, IEEE Transactions on Image Processing, Vol.27(7): 3403—3417, Jul.2018
27，Ke Xian, Chunhua Shen, Zhiguo Cao*, Hao Lu, Yang Xiao andRuibo Li，“Monocular Relative DepthPerception with Web Stereo Data Supervision”，CVPR2018，IEEE Conference onComputer Vision and Pattern Recognition，Salt Lake City，USA，June 18-22,2018
28，Hao Lu, Zhiguo Cao*, Yang Xiao, ZhiwenFang, and Yanjun Zhu，“Towards Good Practices forFine-Grained Maize Cultivar Identification With Filter-Specific ConvolutionalActivations”，IEEE TRANSACTIONS ONAUTOMATION SCIENCE AND ENGINEERING，Vol.15: No.2, 430-442. April,2018
29，Hao Lu, Lei Zhang, Zhiguo Cao*, Wei Wei, Ke Xian, Chunhua Shen, and Anton Van DenHengel，“When Unsupervised DomainAdaptation Meets Tensor Representations”，IEEE/CVF International Conference on Computer Vision(ICCV 2017), Venice,Italy, October 22-29, 2017
30， Liang Ye, Zhiguo Cao, Yang Xiao, “DeepCloud: Ground-Based Cloud Image Categorization Using Deep ConvolutionalFeatures”, IEEE Trans. on Geoscience andRemote Sensing, 2017, 55(10): 5729-5740
31，Jiaqi Yang, Ke Xian,Yang Xiao and Zhiguo Cao， “PerformanceEvaluation of 3D Correspondence Grouping Algorithms”， 2017International Conference on 3D Vision (3DV)， Qingdao， China， Oct.10-12，2017
32，Hao Lu, Zhiguo Cao*, Yang Xiao, BohanZhuang and Chunhua Shen“TasselNet: counting maizetassels in the wild via local counts regression network”，Plant Methods，Vol.13：1-17， Nov.2017
33， Hao Lu, Zhiguo Cao*, Yang Xiao, YanjunZhu，“Two-dimensional subspace alignment for convolutional activationsadaptation”，Pattern Recognition， Vol.71： 320–336， Nov.2017
34， Yang Jiaqi，Zhang Qian， Cao Zhiguo*， “Multi-attribute statistics histograms for accurate and robust pairwiseregistration of range images”，NEUROCOMPUTING， Vol.251： 54–67， Aug.2017
35，Lu Hao, Cao Zhiguo, Xiao Yang, Fang Zhiwen, Zhu Yanjun, “Towards fine-grained maize tassel flowering statusrecognition: dataset, theory and practice”, Applied Soft Computing， Vol.56： 34–45，Jul. 2017
36，Jiaqi Yang , Qian Zhang , Ke Xian , Yang Xiao , ZhiguoCao*, “Rotational contour signatures for both real-valued and binary featurerepresentations of 3D local shape”，Computer Vision and Image Understanding，Vol.160: 133-147, July，2017
37，Jiaqi Yang，Qian Zhang， Zhiguo Cao*， “The effect of spatialinformation characterization on 3D local feature descriptors: A quantitativeevaluatioon”, Pattern Recognition，Vol.66: 375-391, Jun. 2017
38，Jiaqi Yang, Qian Zhang, Yang Xiao, Zhiguo Cao*，“TOLDI: An effective and robust approach for 3D local shape description”，Pattern Recognition，Vol.65: 175-187, May.2017
39， ZhiwenFang, Zhiguo Cao, Yang Xiao, Hao Lu，“Refine BING using effective cascade ranking”，Applied Soft Computing，Vol.52: 487--500, Mar.2017
40， Zheng Yi, Cao Zhiguo, Xiao Yang, “Multi-spectral remote image registration based on SIFT”, Electronics Letters,Vol.44 (2):107-108, Jan. 2008. ISSN:0013-5194，DOI:10.1049/el:20082477
41，ZhiwenFang, Zhiguo Cao, Yang Xiao, LeiZhu, and Junsong Yuan, “Adobe Boxes: LocatingObject Proposals Using Object Adobes”, IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 25（9）：4116--4128, September 2016
42， Yang Xiao, Zhiguo Cao*, Wen Zhuo, LiangYe and Lei Zhu，“mCLOUD: A Multiview Visual Feature Extraction Mechanism for Ground-BasedCloud Image Categorization”，Journal of Atmospheric and Oceanic Technology, Vol.33,No.4, 789–801, April. 2016
43，Jiaqi Yang， Zhiguo Cao， Qian Zhang*， “A fast and robust localdescriptor for 3D point cloud registration”，Information Sciences ，Vol.346: 163–179, Jun.2016
44， Yanjun Zhu, Zhiguo Cao, Hao Lu, Yanan Li,Yang Xiao, “In-field automatic observation of wheat heading stage using computervision”, Biosystems Engineering,Vol.143: 28—41, Mar. 2016
45，Lei Zhu, Zhiguo Cao*, Wen Zhuo, Ruicheng Yan, and Shuqing Ma，“A New Dew and FrostDetection Sensor Based on Computer Vision”Journal of Atmospheric andOceanic Technology, Vol.31,No.12, 2692–2712, December. 2014
46， Lei Zhu, Dominik A. Klein, Simone Frintrop, Zhiguo Cao*, and Armin B.Cremers，“A Multisize Superpixel Approach for Salient Object Detection Basedon Multivariate Normal DistributionEstimation”，IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 23（12）：5094--5107, DECEMBER 2014
47，Bai Xiaodong, Cao Zhiguo, Wang Yu, Yu Zhenghong, Zhu hu, Zhang Xuefen, LiCuina, “Vegetationsegmentation robust to illumination variations based on clustering andmorphology modelling”, Biosystems Engineering,Vol.125: 80—97, Sep. 2014
48， Yin Chen, Armin B. Cremers, Zhiguo Cao，“Interactive color imagesegmentation via iterative evidential labeling”，International Journal on Information Fusion, Vol.20: 292-304, Nov. 2014,
49，Yan Ruicheng, Cao Zhiguo, Wang Jianhui, Zhong Sheng, Dominik Klein and ArminCremers, “Horizontal Velocity Estimation via Downward Looking Descent Imagesfor Lunar Landing”, IEEE Transactions on Aerospace and Electronic Systems, VOL.50, NO. 2: 1197-1221, April, 2014,
50， Zhuo Wen, Cao Zhiguo and Xiao Yang, “Cloud Classification of Ground-basedImages Using Texture-Structure Features”, Journal of Atmospheric and OceanicTechnology, Vol.31,No.1, 79-92, January. 2014 [1] 
參考資料