| Leveraging image analysis for high-throughput plant phenotyping S Das Choudhury, A Samal, T Awada Frontiers in plant science 10, 508, 2019 | 140 | 2019 |
| Silhouette-based gait recognition using Procrustes shape analysis and elliptic Fourier descriptors SD Choudhury, T Tjahjadi Pattern Recognition 45 (9), 3414-3426, 2012 | 134 | 2012 |
| Holistic and component plant phenotyping using temporal image sequence S Das Choudhury, S Bashyam, Y Qiu, A Samal, T Awada Plant methods 14, 1-21, 2018 | 100 | 2018 |
| Robust view-invariant multiscale gait recognition SD Choudhury, T Tjahjadi Pattern Recognition 48 (3), 798-811, 2015 | 95 | 2015 |
| Gait recognition based on shape and motion analysis of silhouette contours SD Choudhury, T Tjahjadi Computer Vision and Image Understanding 117 (12), 1770-1785, 2013 | 78 | 2013 |
| Robust blood pressure estimation using an RGB camera X Fan, Q Ye, X Yang, SD Choudhury Journal of Ambient Intelligence and Humanized Computing 11, 4329-4336, 2020 | 63 | 2020 |
| A review on agricultural advancement based on computer vision and machine learning A Paul, S Ghosh, AK Das, S Goswami, S Das Choudhury, S Sen Emerging Technology in Modelling and Graphics: Proceedings of IEM Graph 2018 …, 2020 | 51 | 2020 |
| Leveraging image analysis to compute 3D plant phenotypes based on voxel-grid plant reconstruction S Das Choudhury, S Maturu, A Samal, V Stoerger, T Awada Frontiers in plant science 11, 521431, 2020 | 47 | 2020 |
| Application of high-throughput plant phenotyping for assessing biophysical traits and drought response in two oak species under controlled environment A Mazis, SD Choudhury, PB Morgan, V Stoerger, J Hiller, Y Ge, T Awada Forest Ecology and Management 465, 118101, 2020 | 44 | 2020 |
| Automated vegetative stage phenotyping analysis of maize plants using visible light images SD Choudhury, V Stoerger, A Samal, JC Schnable, Z Liang, JG Yu KDD workshop on data science for food, energy and water, San Francisco …, 2016 | 38 | 2016 |
| Automated stem angle determination for temporal plant phenotyping analysis S Das Choudhury, S Goswami, S Bashyam, A Samal, T Awada Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 37 | 2017 |
| Increasing predictive ability by modeling interactions between environments, genotype and canopy coverage image data for soybeans D Jarquin, R Howard, A Xavier, S Das Choudhury Agronomy 8 (4), 51, 2018 | 29 | 2018 |
| Clothing and carrying condition invariant gait recognition based on rotation forest SD Choudhury, T Tjahjadi Pattern Recognition Letters 80, 1-7, 2016 | 24 | 2016 |
| Robust gait recognition from extremely low frame-rate videos Y Guan, CT Li, SD Choudhury 2013 international workshop on biometrics and forensics (IWBF), 1-4, 2013 | 23 | 2013 |
| Discriminative attention-augmented feature learning for facial expression recognition in the wild L Zhou, X Fan, T Tjahjadi, S Das Choudhury Neural Computing and Applications 34 (2), 925-936, 2022 | 14 | 2022 |
| From laboratory to field: Unsupervised domain adaptation for plant disease recognition in the wild X Wu, X Fan, P Luo, SD Choudhury, T Tjahjadi, C Hu Plant Phenomics 5, 0038, 2023 | 13 | 2023 |
| Leaf recognition using contour unwrapping and apex alignment with tuned random subspace method SD Choudhury, JG Yu, A Samal Biosystems engineering 170, 72-84, 2018 | 12 | 2018 |
| A segmentation-guided deep learning framework for leaf counting X Fan, R Zhou, T Tjahjadi, S Das Choudhury, Q Ye Frontiers in Plant Science 13, 844522, 2022 | 10 | 2022 |
| Multi-feature data repository development and analytics for image cosegmentation in high-throughput plant phenotyping R Quiñones, F Munoz-Arriola, SD Choudhury, A Samal PLoS One 16 (9), e0257001, 2021 | 10 | 2021 |
| Intelligent image analysis for plant phenotyping A Samal, SD Choudhury CRC Press, 2020 | 8 | 2020 |
