Chengjiang Long

Chengjiang Long

Senior R&D Engineer

Dr. Chengjiang Long has worked as a computer vision researcher at Kitware since February 2016. Prior to joining Kitware, he worked at NEC Laboratories America, Inc., and at GE Global Research as a research intern. His research interests involve various areas of classification and recognition, segmentation and detection, and visualization.

Dr. Long completed his B.S. in 2009 and his M.S. in 2011 from Wuhan University. In 2015, he received his Ph.D. from Stevens Institute of Technology. All of his degrees are in the major of computer science. His research at Stevens Institute of Technology focused on how to conduct active learning with multiple noisy labelers in a crowdsourcing environment.

Dr. Long is active in academic and professional services and activities. He has published more than 20 journal articles and conference papers on topics including three-dimensional (3D) tissue deformation, computer-vision-based smoke detection, and constrained surface recovery. He is a professional member of the Institute of Electrical and Electronics Engineers (IEEE). He also serves as a reviewer for top international journals such as IEEE Transactions on Image Processing, Computer Vision and Image Understanding, and The Visual Computer as well as for international conferences such as Computer Vision and Pattern Recognition (CVPR); the International Conference on Computer Vision (ICCV); the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASS); the IEEE International Conference on Multimedia and Expo (ICM); the IEEE International Conference on Image Processing (ICIP); and the British Machine Vision Conference (BMVC).

For more information, please refer to his personal webpage: http://www.chengjianglong.com/.

 

  1. L. Zhang, C. Long, X. Zhang, and C. Xiao, "RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal," in AAAI Conference on Artificial Intelligence (AAAI), 2020.
  2. J. Wei, C. Long, H. Zou, and C. Xiao, "Shadow Inpainting and Removal Using Generative Adversarial Networks with Slice Convolutions," Computer Graphics Forum (CGF), vol. 38, no. 7, pp. 381–392, 2019.
  3. M. Tian, H. Guo, H. Chen, Q. Wang, C. Long, and Y. Ma, "Automated Pig Counting Using Deep Learning," Computers and Electroics in Agriculutre, vol. 16, pp. 1–10, 2019.
  4. C. Long, R. Collins, E. Swears, and A. Hoogs, "Deep Neural Networks In Fully Connected CRF For Image Labeling With Social Network Metadata," in 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 2019.
  5. C. Long, A. Basharat, and A. and Hoogs, "A Coarse-to-fine Deep Convolutional Neural Network Framework for Frame Duplication Detection and Localization in Forged Videos," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019.
  6. B. Ding, C. Long, L. Zhang, and C. Xiao, "ARGAN: Attentive Recurrent Generative Adversarial Network for Shadow Detection and Removal," in Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2019.
  7. M. Leotta, J. Shan, X. Zhang, C. Long, B. Xu, M. Purri, M. Zins, B. Jacquet, K. Dana, S. Seida, M. Berlin, Z. Li, J. Xue, and D. Lipsa, "Danesfield: Integrating Deep Learning and Classical Methods for Multiview Semantic 3D Modeling," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2019.
  8. M. Leotta, C. Long, B. Jacquet, M. Zins, D. Lipsa, J. Shan, B. Xu, Z. Li, X. Zhang, S. Chang, M. Purri, J. Xue, and K. Dana, "Urban Semantic 3D Reconstruction From Multiview Satellite Imagery," in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops: EarthVision, 2019. Winner, Best Paper Award. [URL]
  9. T. Hu, C. Long, L. Zhang, and C. Xiao, "VITAL: A Visual Interpretation on Text with Adversarial Learning for Image Labeling," in arXiv preprint arXiv:1907.11811, 2019.
  10. G. Hua, C. Long, M. Yang, and Y. Gao, "Collaborative Active Visual Recognition from Crowds: A Distributed Ensemble Approach," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 3, pp. 582-594, Mar. 2018. [URL]
  11. Y. Ma, H. Guo, H. Chen, M. Tian, X. Huo, C. Long, S. Tang, X. Song, and Q. Wang, "A Method to Build Multi-Scene Datasets for CNN for Camera Pose Regression," in 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR), 2018.
  12. Y. Nie, X. Cao, C. Long, P. Li, and G. Li, "L2GSCI: Local to Global Seam Cutting and Integrating for Accurate Face Contour Extraction," arxiv, Mar. 2017. [URL]
  13. C. Long and G. Hua, "Correlational Gaussian Processes for Cross-Domain Visual Recognition," in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [URL]
  14. C. Long, E. Smith, A. Basharat, and A. Hoogs, "A C3D-based convolutional neural network for frame dropping detection in a single video shot," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshop on Media Forensics, 2017. [URL]
  15. C. Xing, C. Long, H. Guo, Y. Nie, Y. Zhang, D. Zhu, Q. Ma, and M. Tian, "How Does A Camera Look At One 3D CAD Object?," in 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI), 2017.
  16. C. Long, G. Hua, and A. Kapoor, "A Joint Gaussian Process Model for Active Visual Recognition with Expertise Estimation in Crowdsourcing," International Journal of Computer Vision, vol. 116, no. 2, pp. 136-160, Jan. 2016. [URL]
  17. C. Long and G. Hua, "Multi-class Multi-annotator Active Learning with Robust Gaussian Process for Visual Recognition," in 2015 IEEE International Conference on Computer Vision (ICCV), 2015. [URL]
  18. J. Zhao, C. Long, S. Xiong, C. Liu, and Z. Yuan, "A New K Nearest Neighbours Algorithm Using Cell Grids for 3D Scattered Point Cloud," Electronics and Electrical Engineering, vol. 20, no. 1, Jan. 2014. [URL]
  19. C. Long, X. Wang, G. Hua, M. Yang, and Y. Lin, "Accurate Object Detection with Location Relaxation and Regionlets Re-localization," in Proceedings of the Asian Conference on Computer Vision, 2014. [URL]
  20. J. Zhao, Y. Zhang, Y. Ding, C. Long, Z. Yuan, and D. Zhang, "Accelerated Gaussian mixture model and its application on image segmentation," in 2012 International Conference on Graphic and Image Processing, 2013. [URL]
  21. C. Long, G. Hua, and A. Kapoor, "Active Visual Recognition with Expertise Estimation in Crowdsourcing," in 2013 IEEE International Conference on Computer Vision, 2013. [URL]
  22. G. Hua, C. Long, M. Yang, and Y. Gao, "Collaborative Active Learning of a Kernel Machine Ensemble for Recognition," in 2013 IEEE International Conference on Computer Vision, 2013. [URL]
  23. J. Zhao, Y. Ding, R. Goonetilleke, S. Xiong, Y. Zhang, C. Long, and Z. Yuan, "Interactive Deformation Simulation of Manual Girth Measurement for Limbs," International Information Institute (Tokyo). Information, vol. 15, no. 1, pp. 339, 2012.
  24. Y. Zhao, J. Zhao, J. Huang, S. Han, C. Long, Z. Yuan, and D. Zhang, "Contourlet Transform Based Texture Analysis for Smoke and Fog Classification," Applied Mechanics and Materials, vol. 88-89, pp. 537-542, Aug. 2011. [URL]
  25. C. Long, J. Zhao, R. Goonetilleke, S. Xiong, Y. Ding, Z. Yuan, and Y. Zhang, "A New Region Growing Algorithm for Triangular Mesh Recovery from Scattered 3D Points," in Transactions on Edutainment VI, 2011. [URL]
  26. J. Huang, J. Zhao, W. Gao, C. Long, L. Xiong, Z. Yuan, and S. Han, "Local binary pattern based texture analysis for visual fire recognition," in 2010 3rd International Congress on Image and Signal Processing, 2010. [URL]
  27. Y. Ding, J. Zhao, R. Goonetilleke, S. Xiong, Z. Yuan, Y. Zhang, and C. Long, "An automatic method of measuring foot girths for custom footwear using local RBF implicit surfaces," International Journal of Computer Integrated Manufacturing, vol. 23, no. 6, pp. 574-583, Jun. 2010. [URL]
  28. Zhiyong Yuan, Yuanyuan Zhang, Jianhui Zhao, Yihua Ding, C. Long, L. -, D. -, and G. -, "Real-time Simulation for 3D Tissue Deformation with CUDA Based GPU Computing," Journal of Convergence Information Technology, vol. 5, no. 4, pp. 109-119, Jun. 2010. [URL]
  29. Y. Ding, J. Zhao, Z. Yuan, Y. Zhang, C. Long, and L. Xiong, "Constrained Surface Recovery Using RBF and Its Efficiency Improvements," Journal of Multimedia, vol. 5, no. 1, Feb. 2010. [URL]
  30. Y. Zhang, J. Zhao, Z. Yuan, Y. Ding, C. Long, and L. Xiong, "CUDA Based GPU Programming to Simulate 3D Tissue Deformation," in 2010 International Conference on Biomedical Engineering and Computer Science, 2010. [URL]
  31. C. Long, J. Zhao, S. Han, L. Xiong, Z. Yuan, J. Huang, and W. Gao, "Transmission: A New Feature for Computer Vision Based Smoke Detection," in Proceedings of the International Conference on Artificial Intelligence and Computational Intelligence, 2010. [URL]
  32. C. Long, Jianhui Zhao, Zhiyong Yuan, Yihua Ding, Yuanyuan Zhang, Lu Xiong, Guozhong Liang, and Xuanmin Jiang, "Improvements on IPD Algorithm for Triangular Mesh Reconstruction from 3D Point Cloud," in 2009 International Conference on Multimedia Information Networking and Security, 2009. [URL]
  33. J. Zhao, C. Long, Y. Ding, and Z. Yuan, "A New K-Nearest Neighbors Search Algorithm Based on 3D Cell Grids," Geomatics and Information Science of Wuhan University, vol. 34, no. 5, pp. 615-618, 2009.
  34. L. Rao, J. Zhao, X. Li, C. Long, Y. Ding, Y. Zhang, L. Xiong, and Z. Yuan, "A Ray-based Method for 3D Model’s Comparison by Genetic Algorithm," Journal of Advances in Systems Science and Applications, vol. 9, no. 3, pp. 580–586, 2009.
  35. Y. Ding, J. Zhao, Y. Zhang, C. Long, and Z. Yuan, "Efficiency Improvements for RBF Based Surface Measurement from 3D Point Cloud," in 2008 International Symposium on Intelligent Information Technology Application Workshops, 2008. [URL]
  36. Y. Ding, J. Zhao, Y. Zhang, C. Long, and Z. Yuan, "Measurement Simulation on RBF Surface Reconstruction from 3D Point Cloud," in Geomatics and Information Science of Wuhan University (in Chinese), 2008.
  37. Y. Ding, J. Zhao, Z. Li, A. Yao, L. Rao, and C. Long, "Improvements on Electric Field Based Curve Reconstruction from Unorganized Points," in Workshop on Intelligent Information Technology Application (IITA 2007), 2007. [URL]
  38. Y. Ding, J. Zhao, R. Goonetilleke, L. Rao, A. Yao, and C. Long, "Partial Surface Reconstruction and Applications from Point Cloud Using RBF," Journal of Computational Information Systems, vol. 3, no. 6, 2007.

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