Publications (11)
2025
3D Reconstruction Enables High-Throughput Phenotyping and Quantitative Genetic Analysis of Phyllotaxy (Davis et al. 2025)Davis, J. M., Gaillard, M., Tross, M. C., Shrestha, N., Ostermann, I., Grove, R. J., Li, B., Benes, B., & Schnable, J. C. (2025). 3D Reconstruction Enables High-Throughput Phenotyping and Quantitative Genetic Analysis of Phyllotaxy. Plant Phenomics, 100023. https://doi.org/https://doi.org/10.1016/j.plaphe.2025.100023
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3D Reconstruction Enables High-Throughput Phenotyping and Quantitative Genetic Analysis of Phyllotaxy (Davis et al. 2025)
Davis, J. M., Gaillard, M., Tross, M. C., Shrestha, N., Ostermann, I., Grove, R. J., Li, B., Benes, B., & Schnable, J. C. (2025). 3D Reconstruction Enables High-Throughput Phenotyping and Quantitative Genetic Analysis of Phyllotaxy. Plant Phenomics, 100023. https://doi.org/https://doi.org/10.1016/j.plaphe.2025.100023
2024
Sorghum segmentation and leaf counting using in silico trained deep neural model (Ostermann et al. 2024)Ostermann, I., Benes, B., Gaillard, M., Li, B., Davis, J., Grove, R., Shrestha, N., Tross, M. C., & Schnable, J. C. (2024). Sorghum segmentation and leaf counting using in silico trained deep neural model. The Plant Phenome Journal, 7(1), e70002.
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Sorghum segmentation and leaf counting using in silico trained deep neural model (Ostermann et al. 2024)
Ostermann, I., Benes, B., Gaillard, M., Li, B., Davis, J., Grove, R., Shrestha, N., Tross, M. C., & Schnable, J. C. (2024). Sorghum segmentation and leaf counting using in silico trained deep neural model. The Plant Phenome Journal, 7(1), e70002.
2023
Multi-view triangulation without correspondences (Gaillard et al. 2023)Gaillard, M., Benes, B., Tross, M. C., & Schnable, J. C. (2023). Multi-view triangulation without correspondences. Computers and Electronics in Agriculture, 206, 107688. https://doi.org/https://doi.org/10.1016/j.compag.2023.107688
2022
Automatic Differentiable Procedural Modeling (Gaillard et al. 2022)Gaillard, M., Krs, V., Gori, G., Mech, R., & Benes, B. (2022). Automatic Differentiable Procedural Modeling. Computer Graphics Forum, 41(2). https://doi.org/10.1111/cgf.14475
2021
3D reconstruction identifies loci linked to variation in angle of individual sorghum leaves (Tross et al. 2021)Tross, M. C., Gaillard, M., Zwiener, M., Miao, C., Grove, R. J., Li, B., Benes, B., & Schnable, J. C. (2021). 3D reconstruction identifies loci linked to variation in angle of individual sorghum leaves. PeerJ, 9, e12628. https://doi.org/10.7717/peerj.12628
2020
PICO: Procedural Iterative Constrained Optimizer for Geometric Modeling (Krs et al. 2020)Krs, V., Mech, R., Gaillard, M., Carr, N., & Benes, B. (2020). PICO: Procedural Iterative Constrained Optimizer for Geometric Modeling. IEEE Transactions on Visualization and Computer Graphics, 1–1. https://doi.org/10.1109/TVCG.2020.2995556
Voxel carving-based 3D reconstruction of sorghum identifies genetic determinants of light interception efficiency (Gaillard et al. 2020)Gaillard, M., Miao, C., Schnable, J. C., & Benes, B. (2020). Voxel carving-based 3D reconstruction of sorghum identifies genetic determinants of light interception efficiency. Plant Direct, 4(10), e00255. https://doi.org/10.1002/pld3.255
Sorghum Segmentation by Skeleton Extraction (Gaillard et al. 2020)Gaillard, M., Miao, C., Schnable, J., & Benes, B. (2020). Sorghum Segmentation by Skeleton Extraction. In A. Bartoli & A. Fusiello (Eds.), Computer Vision – ECCV 2020 Workshops (pp. 296–311). Springer International Publishing. https://doi.org/10.1007/978-3-030-65414-6_21
2019
Dendry: A Procedural Model for Dendritic Patterns (Gaillard et al. 2019)Gaillard, M., Benes, B., Guérin, E., Galin, E., Rohmer, D., & Cani, M.-P. (2019). Dendry: A Procedural Model for Dendritic Patterns. Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, 16:1–16:9. https://doi.org/10.1145/3306131.3317020