Publication

Journal Papers

  1. Meng Ding, Guoliang Fan, "Articulated and Generalized Gaussian Kernel Correlation for Human Pose Estimation", in IEEE Transactions on Image Processing, vol.25, no.2, pp.776-789, Feb. 2016 [PDF also available in IEEE Xplore] (Impact Factor 4.828)
  2. Meng Ding, Guoliang Fan, "Multilayer Joint Gait-Pose Manifolds for Human Gait Motion Modeling", in IEEE Transactions on Cybernetics, vol.45, no. 11, pp.2413-2424. Nov. 2015 [pdf] (Impact Factor 7.384)
  3. Xin Zhang, Meng Ding, Guoliang Fan, "Video-based Human Walking Estimation by Using Joint Gait and Pose Manifolds", in IEEE Transactions on Circuits and Systems for Video Technology, accepted by Dec. 2015 [pdf available in IEEE Xplore] (Impact Factor 3.599)
  4. J. Liang, and C. Chen, Y. Yi, X. Xu, and M. Ding, “Bilateral Two-Dimensional Neighborhood Preserving Discriminant Embedding for Face Recognition,” IEEE Access, August, 2017. (IF = 3.244)
  5. Y. Wang, B. Liang, M. Ding, J. Li, "Dense Semantic Labeling with Atrous Spatial Pyramid Pooling and Decoder for High-Resolution Remote Sensing Imagery ", in Remote Sensing , 2019
  6. Y. Liu, Q. Ren, J. Geng, M. Ding, J Li, "Efficient patch-wise semantic segmentation for large-scale remote sensing images ", in Sensors, 2018, 18, 3232
  7. S. Jaeger, O. Juarez-Espinosa, S. Candemir, M. Poostchi, F. Yang, L. Kim, M. Ding, L. Folio, S. Antani, A. Gabrielian, D. Hurt, A. Rosenthal, G. Thoma, "Detecting drug-resistant tuberculosis in chest radiographs ", in International journal of computer assisted radiology and surgery, Dec. 2018
  8. Y Wang, C Chen, M Ding, J Li, "Real-Time Dense Semantic Labeling with Dual-Path Framework for High-Resolution Remote Sensing Image", in Remote Sensing, Dec. 2019
  9. Y Wang, Q Chen, M Ding, J Li, "High Precision Dimensional Measurement with Convolutional Neural Network and Bi-Directional Long Short-Term Memory (LSTM) ", in Sensors, Nov. 2019
  10. Y Wang, B Liang, M Ding, J Li, "Dual-branch dense residual network for hyperspectral imagery classification", in International Journal of Remote Sensing, Nov. 2019

Conference Papers

  1. Chen Chen, Xiaopeng Liu, Meng Ding, Junfeng Zheng, Jiangyun Li, "3D Dilated Multi-Fiber Network for Real-time Brain Tumor Segmentation in MRI", in MICCAI 2019, Oct 2019. (Chen Chen and Xiaopeng Liu contributed equally)
  2. Meng Ding, Sameer Antani, Stefan Jaeger, Zhiyun Xue, Sema Candemir, Marc Kohli and George Thoma, "Local-Global Classifier Fusion for Screening Chest Radiographs", in SPIE Medical Imaging 2017, Orlando, Florida, Feb 2017. [PDF link]
  3. Meng Ding, Guoliang Fan, "Articulated Gaussian Kernel Correlation for Human Pose Estimation", in IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Boston, MA, USA, June 2015. [pdf]
  4. Meng Ding, Guoliang Fan,"Generalized Sum of Gaussians for Real-Time Human Pose Tracking from a Single Depth Sensor", in IEEE Winter Conference on Applications of Computer Vision (WACV), Big Island, Hawaii, USA, January 2015. [pdf]
  5. Meng Ding, Guoliang Fan, "Fast Human Pose Tracking with a Single Depth Sensor Using Sum of Gaussians Models", in International Symposium on Visual Computing (ISVC), Las Vegas, USA, 2014, published in Part I, LNCS 8887, pp. 599-608, 2014. [pdf]
  6. Song Ge, Guoliang Fan and Meng Ding, "Non-rigid Point Set Registration with Global-Local Topology Preservation", in IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Columbus, Ohio, USA, June 2014. [pdf]
  7. Meng Ding, Guoliang Fan, “Multi-Layer Joint Gait-Pose Manifold for Human Motion Modeling”, in IEEE International Conference on Automatic Face & Gesture Recognition (FG), Shanghai, China, April 2013 (Spotlight). [pdf]
  8. Meng Ding, Guoliang Fan, Xin Zhang, et al., “Structure-guided Manifold Learning for Video-based Motion Estimation”, in IEEE International Conference on Image Processing (ICIP), Orlando, Florida, USA, October 2012. [pdf]
  9. Guoliang Fan, Xin Zhang and Meng Ding, "Gaussian Process for Human Motion Modeling: A Comparative Study", in IEEE Workshop on Machine Learning for Signal Processing, 2011. [pdf]