Academic Areas: Computer Vision, Pattern Recognition, Machine Learning
Research Interests: Monocular Depth Prediction, Image Registration, Object Counting, Image Aesthetics (image cropping, bokeh, etc.), Point Cloud Processing
Profile
Zhiguo Cao is a professor of the Department of Intelligence Science and Technology, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology. He served as the Dean of School of Automation, HUST, from Mar. 2013 to May 2018. He has been appointed the director of the academic committee of the School of Artificial Intelligence and Automation since 2018.
Professor Cao’s research interest involves Monocular Depth Prediction, Image Registration, Object Counting, Image Aesthetics (image cropping, bokeh, etc.), Point Cloud Processing and so on. During his whole career life, he focuses on designing a practical computer vision system to balance theoretical research and engineering applications. A number of his research achievements have been successfully applied to the industrial fields. Meanwhile, he also addresses the efforts to boost the cutting-edge inter-discipline research among computer vision, machine learning, consumer cloud services, agriculture, meteorology and medicine. Recently, he won the second prize in the task “Single Image Depth Prediction”, “Robust Vision Challenge” in conjunction with CVPR 2018, the Best Paper award in 2018 11th International Conference on Intelligent Robotics and Application, the outstanding paper awards in 2018 by European Society of Agricultural Engineers, the Best Poster Award in 5th workshop on Observing and Understanding hands in Action in conjunction with ICCV2019, the Runner-up of the “Depth-based 3D Hand Pose Estimation” Task, the 2019 Hands Challenge on 3D hand pose estimation in conjunction with HANDS 2019 workshop in ICCV2019, the second place in the task “Mono Depth Estimation”, “Robust Vision Challenge 2020” in conjunction with ECCV 2020, the Runner-Up Award in “AIM 2020 Challenge on Rendering Realistic Bokeh”, “Advances in image manipulation workshop” in conjunction with ECCV2020, the Runner-Up Award in “MAI 2021 Single-Image Depth Estimation Challenge”, “Mobile AI Workshop and Challenge 2021” in conjunction with CVPR 2021, the second place in “Global Wheat Challenge 2021” in conjunction with ICCV 2021.
Academic Area:
Computer Vision, Pattern Recognition, Machine Learning
Academic Degree:
Sept. 1981 – July. 1985, University of Electronic Science and Technology of China, B. S. in Electronic Engineering
Sept. 1987 – Apr. 1990, University of Electronic Science and Technology of China, M. S. in Telecommunication and Electronic system
Sept. 1996 – Dec. 2001, Huazhong University of Science and Technology, Ph. D. in Pattern Recognition and Intelligent System
Professional Experience:
Jan. 2019 – Present: Professor, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology
Mar. 2013 – Jan. 2019: Professor (served as the Dean from Mar., 2013 to May, 2018), School of Automation, Huazhong University of Science and Technology
May 2004 – Fed. 2013: Professor (served as the Dean from Feb., 2009 to Mar., 2013), Institute of Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology
May 1998 – Apr. 2004: Associate Professor, Institute of Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology
Jan. 1995 – Apr. 1998: Assistant Professor, Institute of Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology
Apr. 1990 – Dec. 1994: Assistant Professor, Department of Electronic and Information Engineering, Huazhong University of Science and Technology
Jul. 1985 – Aug. 1987: Assistant Engineer, Design Institute of Wuhan Telecommunication Factory
Selected Publications on Conference Papers:
1. Zhiyu Pan, Zhiguo Cao, Kewei Wang, Hao lu, Weicai Zhong, “TransView: Inside, Outside, and Across the Cropping View Boundaries”, IEEE/CVF International Conference on Computer Vision (ICCV 2021), Virtual, Oct. 11- 17, 2021
2. Chaoyi Hong，Shuaiyuan Du， Ke Xian， Hao Lu， Zhiguo Cao* and Weicai Zhong“Composing Photos Like a Photographer”，IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR2021)，Virtual, Jun. 19—25, 2021
3. Tianpei Lian, Zhiguo Cao, Hao Lu, Zijin Wu, and Weicai Zhong, “Image Cropping Assisted by Modelling Inter-Patch Relations”, IEEE International Conference on Image Processing (ICIP2021), Anchorage-Alaska, USA, September 19-22, 2021
4. Juewen Peng, Xianrui Luo, Ke Xian, and Zhiguo Cao, “Interactive Portrait Bokeh Rendering System”, IEEE International Conference on Image Processing (ICIP2021), Anchorage-Alaska, USA, September 19-22, 2021
5. Tianpei Lian, Zhiguo Cao, Ke Xian, Zhiyu Pan, and Weicai Zhong, “Context-Aware Candidates for Image Cropping”, IEEE International Conference on Image Processing (ICIP2021), Anchorage-Alaska, USA, September 19-22, 2021
6. Shuaiyuan Du， Chaoyi Hong， Zhiyu Pan， Chen Feng and Zhiguo Cao， “Parallel Network to Learn Novelty from the Known”，International Conference on Pattern Recognition (ICPR2020)，Milan，Italy，Jan.10-15,2021
7. Chengxin Liu，Zhiguo Cao，Wei Li，Yang Xiao，Shuaiyuan Du and Angfan Zhu，”Exploiting Distilled Learning for Deep Siamese Tracking”，International Conference on Pattern Recognition (ICPR2020)，Milan，Italy， Jan.10-15,2021
8. Dehui Li， Zhiguo Cao，Ke Xian，Xinyuan Qi，Chao Zhang and Hao Lu，”Multi-Direction Convolution for Semantic Segmentation”，International Conference on Pattern Recognition (ICPR2020)，Milan，Italy， Jan.10-15,2021
9. Jiale Zhang，Ke Xian，Chengxin Liu，Yinpeng Chen， Zhiguo Cao，and Weicai Zhong，“CPTNet: Cascade Pose Transform Network for Single Image Talking Head Animation”， Asian Conference on Computer Vision（ACCV 2020），Kyoto，Japan，Nov.30—Dec.4，2020
10. Liang Liu, Hao Lu, Hongwei Zou, Haipeng Xiong, Zhiguo Cao*, Chunhua Shen, “Weighing Counts: Sequential Crowd Counting by Reinforcement Learning”, Europran Conference on Computer Vision (ECCV2020), 164—181，Glasgow, United Kingdom, Aug.23-28,2020
11. Xin Xiong, Haipeng Xiong, Ke Xian, Chen Zhao, Zhiguo Cao*, Xin Li, “Sparse-to-Dense Depth Completion Revisited: Sampling Strategy and Graph Construction”, Europran Conference on Computer Vision (ECCV2020), 682-699，Glasgow, United Kingdom, Aug.23-28,2020
12. Xianrui Luo, Juewen Peng, Ke Xian, Zijin Wu, and Zhiguo Cao，“Bokeh Rendering from Defocus Estimation”，Europran Conference on Computer Vision (ECCV2020)-- Advances in Image Manipulation Workshop，1—17，Glasgow, United Kingdom, Aug.23-28,2020
13. Ke Xian, Jianming Zhang, Oliver Wang, Long Mai, Zhe Lin, and Zhiguo Cao*，“Structure-Guided Ranking Loss for Single Image Depth Prediction”，IEEE Conference on Computer Vision and Pattern Recognition (CVPR2020)，611-620，Seattle，USA，June 14-19,2020
14. Haozhe Qi, Chen Feng, Zhiguo Cao*, Feng Zhao, and Yang Xiao，“P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds”，IEEE Conference on Computer Vision and Pattern Recognition (CVPR2020)，6329—6338，Seattle，USA，June 14-19,2020
15. 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”，IEEE Conference on Computer Vision and Pattern Recognition (CVPR2020)，511-520，Seattle，USA，June 14-19,2020
16. Haipeng Xiong，Hao Lu，Chengxin Liu，Liang Liu，Zhiguo Cao*，Chunhua Shen， “From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer”，IEEE/CVF International Conference on Computer Vision (ICCV 2019), 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 Pose Estimation from a Single Depth Image”，IEEE/CVF International Conference on Computer Vision(ICCV 2019), 793-802，Seoul, Korea, Oct. 27-Nov.2, 2019
18. Xin Xiong, Zhiguo Cao, Chao Zhang, Ke Xian*, Hongwei Zou, "Binoboost: Boosting Self-Supervised Monocular Depth Prediction with Binocular Guidance", IEEE International Conference on Image Processing (ICIP2019), Taipei, Taiwan, September. 22-25, 2019
19. Hongwei Zou, Ke Xian, Jiaqi Yang, Zhiguo Cao*, "Mean-Variance Loss for Monocular Depth Estimation", IEEE International Conference on Image Processing (ICIP2019). Taipei, Taiwan, September. 22-25, 2019
20. Chao Zhang, Zhiguo Cao, Xin Xiong, Ke Xian*, Xinyuan Qi, "Salient Object Detection Via Deep Hierarchical Context Aggregation And Multi-Layer Supervision", IEEE International Conference on Image Processing (ICIP2019), Taipei, Taiwan, September. 22-25, 2019
21. Dehui Li, Zhiguo Cao, Ke Xian*, Jiaqi Yang, Xinyuan Qi, Wei Li, "Limited Receptive Field Network for Real-Time Driving Scene Semantic Segmentation", Pacific Rim International Conference on Artificial Intelligence (PRICAI2019), Yanuca Island, Cuvu, Fiji, Aug. 26-30, 2019
22. Chen Zhao，Zhiguo Cao, Chi Li, Xin Li, and Jiaqi Yang* ，“NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences”，IEEE Conference on Computer Vision and Pattern Recognition (CVPR2019)，215—224, Long Beach，USA，June 16-20,2019
23. Ruibo Li, Ke Xian, Chunhua Shen, Zhiguo Cao, Hao Lu, Lingxiao Hang，“Deep attention-based classification network for robust depth prediction”, Asian Conference on Computer Vision (ACCV2018)，Perth，Australia, Dec.2-7, 2018.
24. Liang Liu, Hao Lu, Zhiguo Cao, Yang Xiao, "Counting Fish in Sonar Images", IEEE International Conference on Image Processing (ICIP 2018), 3189 – 3193, Athens, Greece, Oct.7-10, 2018
25. Chen Zhao, Jiaqi Yang, Yang Xiao, Zhiguo Cao, "Scalable Multi-consistency Feature Matching with Non-cooperative Games", IEEE International Conference on Image Processing (ICIP 2018), 1258 - 1262, Athens, Greece, Oct.7-10, 2018
26. Anfan Zhu, Zhiguo Cao, Yang Xiao. "Real-Time Stereo Matching System", International Conference on Intelligent Robotics and Applications (ICIRA2018), 377-386, Newcastle,Australia, August 9-11, 2018
27. Kaicheng Gong, Zhiguo Cao, Yang Xiao, and Zhiwen Fang, "Online Update Siamese Network for Unmanned Surface Vehicle Tracking". International Conference on Intelligent Robotics and Applications (ICIRA2018), 159-169, Newcastle, Australia, August 9-11, 2018
28. Ke Xian, Chunhua Shen, Zhiguo Cao*, Hao Lu, Yang Xiao and Ruibo Li，“Monocular Relative Depth Perception with Web Stereo Data Supervision”，IEEE Conference on Computer Vision and Pattern Recognition (CVPR2018)，Salt Lake City，USA，June 18-22,2018
29. Hao Lu, Lei Zhang, Zhiguo Cao*, Wei Wei, Ke Xian, Chunhua Shen, and Anton Van Den Hengel，“When Unsupervised Domain Adaptation Meets Tensor Representations”，IEEE/CVF International Conference on Computer Vision(ICCV 2017), Venice, Italy, October 22-29, 2017
30. Jiaqi Yang, Ke Xian, Yang Xiao and Zhiguo Cao， “Performance Evaluation of 3D Correspondence Grouping Algorithms”， 2017 International Conference on 3D Vision (3DV)， Qingdao， China， Oct.10-12，2017
Selected Publications on Journal Papers:
1. Yancheng Wang, Yang Xiao , Junyi Lu, Bo Tan, Zhiguo Cao , Zhenjun Zhang , and Joey Tianyi Zhou， “Discriminative Multi-View Dynamic Image Fusion for Cross-View 3-D Action Recognition”，IEEE Transactions on neural networks and learning systems，Accept, 2021
2. Jiaqi Yang，Zhiqiang Huang，Siwen Quan，Qian Zhang，Yanning Zhang，and Zhiguo Cao，“Toward Efficient and Robust Metrics for RANSAC Hypotheses and 3D Rigid Registration”，IEEE Transactions on Circuits and Systems for Video Technology，Accept, 2021
3. Hao Lu，Liang Liu，Yanan Li，Xiaoming Zhao，Xiqing Wang and Zhiguo Cao*，“TasselNetV3: Explainable Plant Counting With Guided Upsampling and Background Suppression”，IEEE Transactions on Geoscience and Remote Sensing，Accept，2021
4. Jian Cheng，Haipeng Xiong，Zhiguo Cao，and Hao Lu，“Decoupled Two-Stage Crowd Counting and Beyond”， IEEE Transactions on Image Processing，Vol.30: 2862—2875, Feb. 2021
5. Zihao Zhu，Yang Xiao，Shuai Li，Zhiguo Cao，Zhiwen Fang，Joey Tianyi Zhou，“LPQ++: A discriminative blur-insensitive textural descriptor with spatial-channel interaction”. Information Sciences. 548: 191-211, 2021
6. Zhiwen Fang，Zhiguo Cao*， Yang Xiao，Kaicheng Gong and Junsong Yuan， “MAT: Multianchor Visual Tracking With Selective Search Region”，IEEE Transactions on Cybernetics，Accept, 2020
7. Kaicheng Gong，Zhiguo Cao，Yang Xiao，Zhiwen Fang，“Abrupt-motion-aware lightweight visual tracking for unmanned aerial vehicles”，The Visual Computer，Vol.37（2）：371-383，2020
8. Hao Lu, Zhiguo Cao*，“TasselNetV2+: A Fast Implementation for High-Throughput Plant Counting From High-Resolution RGB Imagery”，Frontiers in Plant Science, ISSN: 1664-462X，vol. 11, no. 541960, 1-15，2020
9. Chengxin Liu, Shuaiyuan Du, Hao Lu, Dehui Li, Zhiguo Cao* ，“Multispectral Semantic Land Cover Segmentation From Aerial Imagery With Deep Encoder-Decoder Network”，IEEE Geoscience and Remote Sensing Letters，Accept, 2020
10. Liang Liu, Zhiguo Cao, Hao Lu, Haipeng Xiong, and Chunhua Shen , “NSSNet: Scale-Aware Object Counting With Non-Scale Suppression”，IEEE Transactions on Intelligent Transportation Systems，Accept，2020
11. Liang Liu, Hao Lu, Haipeng Xiong, Ke Xian, Zhiguo Cao*, Chunhua Shen, “Counting Objects by Blockwise Classification”，IEEE Transactions on Circuits and Systems for Video Technology, Vol.30(10): 3513—3527, Oct. 2020
12. Liang Liu , Hao Lu, Yanan Li, and Zhiguo Cao*，“High-Throughput Rice Density Estimation from Transplantation to Tillering Stages Using Deep Networks”，Plant Phenomics，Volume 2020，Article ID 1375957，Aug. 2020
13. Hongwei Zou, Hao Lu, Yanan Li, Liang Liu and Zhiguo Cao*，“Maize tassels detection: a benchmark of the state of the art”，Plant Methods ， Vol.16：108：1-15， Aug. 2020
14. Yuanzhouhan Cao, Tianqi Zhao, Ke Xian, Chunhua Shen, Zhiguo Cao, Shugong Xu，”Monocular Depth Estimation With Augmented Ordinal Depth Relationships”. IEEE Transactions on Circuits and Systems for Video Technology. Vol.30(8), 2674-2682, 2020.
15. Zhou, Joey Tianyi; Zhang, Hao; Jin, Di; Peng, Xi; Xiao, Yang; Cao, Zhiguo, “RoSeq: Robust Sequence Labeling”，IEEE Transactions on neural networks and learning systems，Vol.31(7): 2304-2314，July，2020
16. Fu Xiong ; Yang Xiao ; Zhiguo Cao ; Yancheng Wang ; Joey Tianyi Zhou ; Jianxin Wu，“ECML: An Ensemble Cascade Metric-Learning Mechanism Toward Face Verification”，IEEE Transactions on Cybernetics，Accept，2020
17. Yan Li，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
18. Chen Zhao , Zhiguo Cao , Jiaqi Yang , Ke Xian , Xin Li，“Image Feature Correspondence Selection: a Comparative Study and a New Contribution”，IEEE Transactions on Image Processing，Vol.29: 3506—3519, Jan.2020
19. Guilei Hu, Yang Xiao, Zhiguo Cao, Lubin Meng, Zhiwen Fang, Joey Tianyi Zhou, Junsong Yuan，“Towards Real-time Eyeblink Detection in The Wild: Dataset, Theory and Practices”，IEEE Transactions on Information Forensics and Security，Vol.15: 2194—2208, Jan.2020
20. Jiaqi Yang, Chen Zhao , Ke Xian, Angfan Zhu, Zhiguo Cao*, “Learning to fuse local geometric features for 3D rigid data matching”，Information Fusion，Vol.61: 24—35, Mar.2020
21. Haipeng Xiong, Zhiguo Cao, Hao Lu* , Simon Madec, Liang Liu and Chunhua Shen，“TasselNetv2: in‑field counting of wheat spikes with context‑augmented local regression networks”，Plant Methods，Vol.15：150：1-14， Dec.2019
22. Liang Ye, Zhiguo Cao*, Yang Xiao, Zhibiao Yang，“Supervised Fine-Grained Cloud Detection and Recognition in Whole-Sky Images”，IEEE Trans. on Geoscience and Remote Sensing, Vol.57(10): 7972-7985，Oct.2019
23. Feng Zhao, Zhiguo Cao, Yang Xiao* , Jing Mao, Junsong Yuan，“Real-Time Detection of Fall From Bed Using a Single Depth Camera”，IEEE Transactions on Automation Science and Engineering，Vol.16: No.3, 1018-1032. July, 2019.
24. Zhou Joey Tianyi, Fang Meng, Zhang Hao, Gong Chen, Peng Xi, Cao Zhiguo, Goh Rick Siow Mong，“Learning With Annotation of Various Degrees”，IEEE Transactions on Neural Networks and Learning Systems，Vol.30(9)：2794-2804，Sept. 2019
25. Jiaqi Yang, Yang Xiao and Zhiguo Cao* ,“Aligning 2.5D Scene Fragments With Distinctive Local Geometric Features and Voting-Based Correspondences”，IEEE Transactions on Circuits and Systems for Video Technology, Vol.29(3): 714—729, Mar. 2019
26. Yang Xiao, Jun Chen, Yancheng Wang, Zhiguo Cao*, Joey Tianyi Zhou, Xiang Bai，“Action Recognition for Depth Video using Multi-view Dynamic Images”，Information Sciences ，Vol.480: 287–304, Apr.2019
27. Jiaqi Yang，Yang Xiao，Zhiguo Cao，Weidong Yang，“Ranking 3D feature correspondences via consistency voting”，Pattern Recognition Letters，Vol.117:1–8, Jan.2019
28. Jiaqi Yang, Yang Xiao and Zhiguo Cao* “Toward the Repeatability and Robustness of the Local Reference Frame for 3D Shape Matching: An Evaluation”，IEEE Transactions on Image Processing, Vol.27(8): 3766—3781, Aug.2018
29. Hao Lu, Chunhua Shen, Zhiguo Cao*, Yang Xiao, Anton van den Hengel, “An embarrassingly simple approach to visual domain adaptation”, IEEE Transactions on Image Processing, Vol.27(7): 3403—3417, Jul.2018.
30. Hao Lu, Zhiguo Cao*, Yang Xiao, Zhiwen Fang, and Yanjun Zhu，“Towards Good Practices for Fine-Grained Maize Cultivar Identification With Filter-Specific Convolutional Activations”，IEEE Transactions on Automation Science and Engineering，Vol.15: No.2, 430-442. April, 2018.
31. Xiaodong Bai, Zhiguo Cao*, Laiding Zhao, Junrong Zhang, Chenfei Lv, Cuina Li, Jidong Xie, “Rice heading stage automatic observation by multi-classifier cascade based rice spike detection method”, Agricultural and Forest Meteorology, Vol.259 : 260-270, 2018.
32. Yang Xiao, Zhiguo Cao*, Li Wang, Tao Li，“Local phase quantization plus: A principled method for embedding local phase quantization into Fisher vector for blurred image recognition”，Information Sciences，Vol.420：77-95， Dec.2017
33. Liang Ye, Zhiguo Cao, Yang Xiao, “DeepCloud: Ground-Based Cloud Image Categorization Using Deep Convolutional Features”, IEEE Transactions on Geoscience and Remote Sensing, Vol.55(10): 5729-5740，2017
34. Hao Lu, Zhiguo Cao*, Yang Xiao, Bohan Zhuang and Chunhua Shen“TasselNet: counting maize tassels in the wild via local counts regression network”，Plant Methods，Vol.13：1-17， Nov.2017
35. Hao Lu, Zhiguo Cao*, Yang Xiao, Yanjun Zhu，“Two-dimensional subspace alignment for convolutional activations adaptation”，Pattern Recognition， Vol.71： 320–336， Nov.2017
36. Jiaqi Yang，Qian Zhang，Zhiguo Cao*， “Multi-attribute statistics histograms for accurate and robust pairwise registration of range images”，Neurocomputing， Vol.251： 54–67， Aug.2017
37. Hao Lu, Zhiguo Cao, Yang Xiao, Zhiwen Fang, Yanjun Zhu, “Towards fine-grained maize tassel flowering status recognition: dataset, theory and practice”, Applied Soft Computing， Vol.56： 34–45，Jul. 2017
38. Jiaqi Yang , Qian Zhang , Ke Xian , Yang Xiao , Zhiguo Cao*, “Rotational contour signatures for both real-valued and binary feature representations of 3D local shape”，Computer Vision and Image Understanding，Vol.160: 133-147, July，2017.
39. Jiaqi Yang，Qian Zhang， Zhiguo Cao*， “The effect of spatial information characterization on 3D local feature descriptors: A quantitative evaluatioon”, Pattern Recognition，Vol.66: 375-391, Jun. 2017.
40. 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.
41. Zhiwen Fang, Zhiguo Cao, Yang Xiao, Hao Lu，“Refine BING using effective cascade ranking”，Applied Soft Computing，Vol.52: 487--500, Mar.2017.
42. Yanan Li, Zhiguo Cao*, Hao Lu, Yang Xiao, Yanjun Zhu, Armin B. Cremers， “In-field cotton detection via region-based semantic image segmentation”，Computers and Electronics in Agriculture, Vol.127: 475-486, Sep.2016.
43. Chunhua Deng, Zhiguo Cao*, Yang Xiao, Hao Lu, Ke Xian, and Yin Chen, “Exploiting Attribute Dependency for Attribute Assignment in Crowded Scenes”, IEEE Signal Processing Letters, VOL.23 （10）：1325--1329, 2016
44. Zhiwen Fang, Zhiguo Cao, Yang Xiao, Lei Zhu, and Junsong Yuan, “Adobe Boxes: Locating Object Proposals Using Object Adobes”, IEEE Transactions on Image Processing, VOL. 25（9）：4116--4128, September 2016
45. Hao Lu, Zhiguo Cao*, Yang Xiao, Yanan Li, and Yanjun Zhu，“Region-based colour modelling for joint crop and maize tassel segmentation”，Biosystems Engineering, Vol.147: 139—150, Jul. 2016
46. Yang Xiao, Zhiguo Cao*, Wen Zhuo, Liang Ye and Lei Zhu，“mCLOUD: A Multiview Visual Feature Extraction Mechanism for Ground-Based Cloud Image Categorization”，Journal of Atmospheric and Oceanic Technology, Vol.33,No.4, 789–801, April. 2016.
47. Jiaqi Yang， Zhiguo Cao， Qian Zhang*， “A fast and robust local descriptor for 3D point cloud registration”，Information Sciences ，Vol.346: 163–179, Jun.2016
48. Yanjun Zhu, Zhiguo Cao, Hao Lu, Yanan Li, Yang Xiao, “In-field automatic observation of wheat heading stage using computer vision”, Biosystems Engineering, Vol.143: 28—41, Mar. 2016
49. Hao Lu, Zhiguo Cao, Yang Xiao, Zhiwen Fang, Yanjun Zhu, Ke Xian ；“Fine-grained maize tassel trait characterization with multi-view representations”，Computers and Electronics in Agriculture, Vol.118: 143-158, Oct.2015.
50. Chunhua Deng, Zhiguo Cao, Zhiwen Fang, Yin Chen, Ruicheng Yan, and Yang Xiao“Recognizing the Formations of CVBG Based on Multi-viewpoint Context”, IEEE Transactions on Aerospace and Electronic Systems, VOL. 51, NO. 3: 1793-1810, July, 2015
51. Mengni Ye, Zhiguo Cao, Zhenghong Yu, Xiaodong Bai,“Crop feature extraction from images with probabilistic superpixel Markov random field”，Computers and Electronics in Agriculture, Vol.114: 247-260, June.2015.
52. Qian Zhang, Zhiguo Cao, Zhongwen Hu, Yonghong Jia, and Xiaoliang Wu，“Joint Image Registration and Fusion for Panchromatic and Multispectral Image”，IEEE Transactions on Geoscience and Remote Sensing Letters, VOL. 12, NO. 3, 467—471， March 2015
53. Lei Zhu, Zhiguo Cao*, Wen Zhuo, Ruicheng Yan, and Shuqing Ma，“A New Dew and Frost Detection Sensor Based on Computer Vision”Journal of Atmospheric and Oceanic Technology, Vol.31,No.12, 2692–2712, December. 2014.
54. Lei Zhu, Dominik A. Klein, Simone Frintrop, Zhiguo Cao*, and Armin B. Cremers，“A Multisize Superpixel Approach for Salient Object Detection Based on Multivariate Normal Distribution Estimation”，IEEE Transactions on Image Processing, VOL. 23（12）：5094--5107, Dec. 2014
55. Xiaodong Bai, Zhiguo Cao, Yu Wang, Zhenghong Yu, Hu Zhu, Xuefen Zhang, Cuina Li, “Vegetation segmentation robust to illumination variations based on clustering and morphology modelling”, Biosystems Engineering, Vol.125: 80—97, Sep. 2014
56. Yin Chen, Armin B. Cremers, Zhiguo Cao，“Interactive color image segmentation via iterative evidential labeling”，Information Fusion, Vol.20: 292-304, Nov. 2014
57. Ruicheng Yan, Zhiguo Cao, Jianhui Wang, Sheng Zhong, Dominik Klein and Armin Cremers, “Horizontal Velocity Estimation via Downward Looking Descent Images for Lunar Landing”, IEEE Transactions on Aerospace and Electronic Systems, VOL. 50, NO. 2: 1197-1221, April, 2014,
58. Yin Chen, Armin B. Cremers, Zhiguo Cao, “A variational change detection method for multitemporal SAR images”, Remote Sensing Letters, Vol.5, No.4: 342—351, April, 2014
59. Yang Xiao, Zhiguo Cao and Junsong Yuan, “Entropic image thresholding based on GLGM histogram”, Pattern Recognition Letters, Vol.40, 47—55, April, 2014
60. Jianhui Wang, Sheng Zhong, Luxin Yan and Zhiguo Cao,“An Embedded System-on-Chip Architecture for Real-time Visual Detection and Matching”, IEEE Transactions on Circuits and Systems for Video Technology, Vol.24, No.3: 525—538, Mar., 2014
Awards and Honors:
1, Nine of his projects have received provincial or ministerial level awards of Science and Technology Progress in China since 1997.
2, The second prize in the task “Single Image Depth Prediction”, “Robust Vision Challenge” in conjunction with CVPR 2018.
3, The Best Paper award, "Real-Time Stereo Matching System", 11th International Conference on Intelligent Robotics and Applications, ICIRA 2018.
4, The outstanding paper awards, “In-field automatic observation of wheat heading stage using computer vision”, European Society of Agricultural Engineers, 2018
5, The Best Poster Award, ”A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image”, 5th workshop on Observing and Understanding hands in Action in conjunction with ICCV2019.
6, Runner-up of the “Depth-based 3D Hand Pose Estimation” Task, the 2019 Hands Challenge on 3D hand pose estimation in conjunction with HANDS 2019 workshop, ICCV2019.
7, The second place in the task “Mono Depth Estimation”, “Robust Vision Challenge 2020” in conjunction with ECCV 2020.
8, The Runner-Up Award in “AIM 2020 Challenge on Rendering Realistic Bokeh”, “Advances in image manipulation workshop” in conjunction with ECCV2020.
9, The Runner-Up Award in “MAI 2021 Single-Image Depth Estimation Challenge”, “Mobile AI Woekshop and Challenge 2021” in conjunction with CVPR 2021.
10, The second place in “Global Wheat Challenge 2021” in conjunction with ICCV 2021.
Course Taught:
For Undergraduates: Pattern Recognition
For Graduates: Machine Learning, Pattern Recognition Theory
