Journal Publications:

  •  S. D. Choudhury, S. Bashyam, Y. QuiA. Samal,  Tala Awada, “Holistic and Component Plant Phenotyping using Visible Light Image Sequence”, Plant Methods,  under review, 2017.
  • Jhilam Mukherjee, S. D. Choudhury, A. Chakrabarti, M. Kar, “Automatic Risk Quantification of Solitary Pulmonary Nodule from Contrast Enhanced Computed Tomography Images”, IEEE journal of Biomedical and Health Informatics, under review, 2016.
  • S. D. Choudhury, T. Tjahjadi, “Clothing and Carrying Condition Invariant Gait Recognition using Rotation Forest”, Pattern Recognition Letters, 80 (2016) 1–7.
  • S. D. Choudhury, T. Tjahjadi, “Robust View-Invariant Multiscale Gait Recognition”, Pattern Recognition, 48 (2014) 798–811.
  • S. D. Choudhury, T. Tjahjadi, “Gait Recognition Based on Shape and Motion Analysis of Silhouette Contour”, Computer Vision and Image Understanding, 117 (2013) 1770-1785.
  • S. D. Choudhury, T. Tjahjadi, “Silhouette-Based Gait Recognition using Procrustes Shape Analysis and Elliptic Fourier Descriptors”, Pattern Recognition, 45 (2012) 3414-3426.

Peer-reviewed Conference Paper:

  •  S. D. Choudhury, S. Goswami, S. Bashyam, A. Samal, T. Awada, Automated Stem Angle Determination for Temporal Plant Phenotyping Analysis, ICCV workshop on Computer Vision Challenges in Plant Phenotyping, Venice, Italy, 2017.
  • S. D .Choudhury, V. Stoerger, A. Samal, J. Schanable, Z. Liang, J-G Yu, Automated Vegetative Stage Phenotyping Analysis of Maize Plants using Visible Light Images, KDD workshop on Data Science for Food, Energy and Water (DS-FEW), San Francisco, California, USA, August 2016.
  • S. D. Choudhury, Y. Guan and C.-T. Li, “Gait Recognition using Low Spatial and Temporal Resolution Videos”, IWBF, pp. 1-6, Valletta, Malta, 2014.
  • Y. Guan, C.-T. Li and S. D. Choudhury, “Robust Gait Recognition from Extremely Low Frame-Rate Videos,” in IWBF, pp. 1-4, Lisbon, Portugal, April, 2013.