Bedrich Benes

Bedrich Benes

Professor

Website

Publications (196)

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.

  • AI-Based Automatic Detection of Online Teamwork Engagement in Higher Education (Magana et al. 2024)

    Magana, A. J., Mubarrat, S. T., Kao, D., & Benes, B. (2024). AI-Based Automatic Detection of Online Teamwork Engagement in Higher Education. IEEE Transactions on Learning Technologies, 17, 2091–2106. https://doi.org/10.1109/TLT.2024.3456447

  • Unerosion: Simulating Terrain Evolution Back in Time (Yang et al. 2024)

    Yang, Z., Cordonnier, G., Cani, M.-P., Perrenoud, C., & Benes, B. (2024). Unerosion: Simulating Terrain Evolution Back in Time. Computer Graphics Forum. https://doi.org/10.1111/cgf.15182

  • Virtual and Augmented Reality in Science, Technology, Engineering, and Mathematics (STEM) Education: An Umbrella Review (Zhang et al. 2024)

    Zhang, Y., Feijoo-Garcia, M. A., Gu, Y., Popescu, V., Benes, B., & Magana, A. J. (2024). Virtual and Augmented Reality in Science, Technology, Engineering, and Mathematics (STEM) Education: An Umbrella Review. Information, 15(9). https://doi.org/10.3390/info15090515

  • Embodied immersive virtual reality to enhance the conceptual understanding of charged particles: A qualitative study (Acevedo et al. 2024)

    Acevedo, P., Magana, A. J., Walsh, Y., Will, H., Benes, B., & Mousas, C. (2024). Embodied immersive virtual reality to enhance the conceptual understanding of charged particles: A qualitative study. Computers & Education: X Reality, 5, 100075. https://doi.org/https://doi.org/10.1016/j.cexr.2024.100075

  • Efficient Debris-flow Simulation for Steep Terrain Erosion (Jain et al. 2024)

    Jain, A., Benes, B., & Cordonnier, G. (2024). Efficient Debris-flow Simulation for Steep Terrain Erosion. ACM Trans. Graph., 43(4). https://doi.org/10.1145/3658213

  • Interactive Invigoration: Volumetric Modeling of Trees with Strands (Li et al. 2024)

    Li, B., Schwarz, N. A., Pałubicki, W., Pirk, S., & Benes, B. (2024). Interactive Invigoration: Volumetric Modeling of Trees with Strands. ACM Trans. Graph., 43(4). https://doi.org/10.1145/3658206

  • Enhancing Buoyant Force Learning Through a Visuo-Haptic Environment: A Case Study (Neri et al. 2024)

    Neri, L., Noguez, J., Escobar-Castillejos, D., Robledo-Rella, V., García-Castelán, R. M. G., Gonzalez-Nucamendi, A., Magana, A. J., & Benes, B. (2024). Enhancing Buoyant Force Learning Through a Visuo-Haptic Environment: A Case Study. Frontiers in Robotics and AI, 11. https://doi.org/10.3389/frobt.2024.1276027

  • An XR Environment for AI Education: Design and First Implementation (Gu et al. 2024)

    Gu, Y., Garcia, M., Zhang, Y., Magana, A. J., Benes, B., & Popescu, V. (2024). An XR Environment for AI Education: Design and First Implementation. 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 157–162. https://doi.org/10.1109/VRW62533.2024.00032

  • SfmCAD: Unsupervised CAD Reconstruction by Learning Sketch-based Feature Modeling Operations (Li et al. 2024)

    Li, P., Guo, J., Li, H., Benes, B., & Yan, D.-M. (2024). SfmCAD: Unsupervised CAD Reconstruction by Learning Sketch-based Feature Modeling Operations. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 4671–4680.

  • SVDTree: Semantic Voxel Diffusion for Single Image Tree Reconstruction (Li et al. 2024)

    Li, Y., Liu, Z., Benes, B., Zhang, X., & Guo, J. (2024). SVDTree: Semantic Voxel Diffusion for Single Image Tree Reconstruction. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 4692–4702.

  • DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision (Ling et al. 2024)

    Ling, L., Sheng, Y., Tu, Z., Zhao, W., Xin, C., Wan, K., Yu, L., Guo, Q., Yu, Z., Lu, Y., Li, X., Sun, X., Ashok, R., Mukherjee, A., Kang, H., Kong, X., Hua, G., Zhang, T., Benes, B., & Bera, A. (2024). DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 22160–22169.

  • Dr. Bokeh: DiffeRentiable Occlusion-aware Bokeh Rendering (Sheng et al. 2024)

    Sheng, Y., Yu, Z., Ling, L., Cao, Z., Zhang, X., Lu, X., Xian, K., Lin, H., & Benes, B. (2024). Dr. Bokeh: DiffeRentiable Occlusion-aware Bokeh Rendering. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 4515–4525.

  • PlantSegNet: 3D point cloud instance segmentation of nearby plant organs with identical semantics (Zarei et al. 2024)

    Zarei, A., Li, B., Schnable, J. C., Lyons, E., Pauli, D., Barnard, K., & Benes, B. (2024). PlantSegNet: 3D point cloud instance segmentation of nearby plant organs with identical semantics. Computers and Electronics in Agriculture, 221, 108922. https://doi.org/https://doi.org/10.1016/j.compag.2024.108922

  • Current challenges and future of agricultural genomes to phenomes in the USA (Tuggle et al. 2024)

    Tuggle, C. K., Clarke, J. L., Murdoch, B. M., Lyons, E., Scott, N. M., Benes, B., Campbell, J. D., Chung, H., Daigle, C. L., Choudhury, S. D., Dekkers, J. C. M., Dorea, J. R. R., Ertl, D. S., Feldman, M., Fragomeni, B. O., Fulton, J. E., Guadagno, C. R., Hagen, D. E., Hess, A. S., … Schnable, P. S. (2024). Current challenges and future of agricultural genomes to phenomes in the USA. Genome Biology, 25(8). https://doi.org/10.1186/s13059-023-03155-w

2023

  • Authoring Terrains with Spatialised Style (Perche et al. 2023)

    Perche, S., Peytavie, A., Benes, B., Galin, E., & Guérin, E. (2023). Authoring Terrains with Spatialised Style. Computer Graphics Forum. https://doi.org/10.1111/cgf.14936

  • Latent L-Systems: Transformer-Based Tree Generator (Lee et al. 2023)

    Lee, J. J., Li, B., & Benes, B. (2023). Latent L-Systems: Transformer-Based Tree Generator. ACM Trans. Graph., 43(1). https://doi.org/10.1145/3627101

  • Rhizomorph: The Coordinated Function of Shoots and Roots (Li et al. 2023)

    Li, B., Klein, J., Michels, D. L., Pirk, S., Benes, B., & Palubicki, W. (2023). Rhizomorph: The Coordinated Function of Shoots and Roots. ACM Transaction on Graphics, 42(4). https://doi.org/https://doi.org/10.1145/3592145

  • Forming Terrains by Glacial Erosion (Cordonnier et al. 2023)

    Cordonnier, G., Jouvet, G., Peytavie, A., Braun, J., Cani, M.-P., Benes, B., Galin, E., Guérin, E., & Gain, J. (2023). Forming Terrains by Glacial Erosion. ACM Transaction on Graphics, 42(4). https://doi.org/https://doi.org/10.1145/3592422

  • DeepTree: Modeling Trees with Situated Latents (Zhou et al. 2023)

    Zhou, X., Li, B., Benes, B., Fei, S., & Pirk, S. (2023). DeepTree: Modeling Trees with Situated Latents. IEEE Transactions on Visualization & Computer Graphics, 01, 1–14. https://doi.org/10.1109/TVCG.2023.3307887

  • Tree Instance Segmentation With Temporal Contour Graph (Firoze et al. 2023)

    Firoze, A., Wingren, C., Yeh, R. A., Benes, B., & Aliaga, D. (2023). Tree Instance Segmentation With Temporal Contour Graph. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2193–2202.

  • Vision UFormer: Long-range monocular absolute depth estimation (Polasek et al. 2023)

    Polasek, T., Čadík, M., Keller, Y., & Benes, B. (2023). Vision UFormer: Long-range monocular absolute depth estimation. Computers & Graphics, 111, 180–189. https://doi.org/https://doi.org/10.1016/j.cag.2023.02.003

  • 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

  • Urban Tree Generator: Spatio-Temporal and Generative Deep Learning for Urban Tree Localization and Modeling (Firoze et al. 2022)

    Firoze, A., Benes, B., & Aliaga, D. (2022). Urban Tree Generator: Spatio-Temporal and Generative Deep Learning for Urban Tree Localization and Modeling. The Visual Computer. https://doi.org/10.1007/s00371-022-02526-x

  • Controllable Shadow Generation Using Pixel Height Maps (Sheng et al. 2022)

    Sheng, Y., Liu, Y., Zhang, J., Yin, W., Oztireli, A. C., Zhang, H., Lin, Z., Shechtman, E., & Benes, B. (2022). Controllable Shadow Generation Using Pixel Height Maps. Computer Vision – ECCV 2022, 240–256. https://doi.org/10.1007/978-3-031-20050-2_15

  • Multioutput Image Classification to Support Postearthquake Reconnaissance (Park et al. 2022)

    Park, J. A., Liu, X., Yeum, C. M., Dyke, S. J., Midwinter, M., Choi, J., Chu, Z., Hacker, T., & Benes, B. (2022). Multioutput Image Classification to Support Postearthquake Reconnaissance. Journal of Performance of Constructed Facilities, 36(6), 04022063. https://doi.org/10.1061/(ASCE)CF.1943-5509.0001755

  • PTRM: Perceived Terrain Realism Metric (Rajasekaran et al. 2022)

    Rajasekaran, S. D., Kang, H., Cadik, M., Galin, E., Guerin, E., Peytavie, A., Slavik, P., & Benes, B. (2022). PTRM: Perceived Terrain Realism Metric. ACM Transactions on Applied Perceptions (TAP), 19(2). https://doi.org/10.1145/3514244

  • A Survey of Trends of Building Fire Simulation in the Architecture, Engineering, and Construction (AEC) Domains (Yang et al. 2022)

    Yang, F., Zhang, J., & Benes, B. (2022). A Survey of Trends of Building Fire Simulation in the Architecture, Engineering, and Construction (AEC) Domains. In Construction Research Congress 2022 (pp. 1042–1050). https://doi.org/10.1061/9780784483961.109

  • 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

  • Procedural Urban Forestry (Niese et al. 2022)

    Niese, T., Pirk, S., Albrecht, M., Benes, B., & Deussen, O. (2022). Procedural Urban Forestry. ACM Trans. Graph., 41(2). https://doi.org/10.1145/3502220

  • Systematic Review of Multimodal Human-Computer Interaction (Azofeifa et al. 2022)

    Azofeifa, J. D., Noguez, J., Ruiz, S., Molina-Espinosa, J. M., Magana, A. J., & Benes, B. (2022). Systematic Review of Multimodal Human-Computer Interaction. Informatics, 9(1). https://doi.org/10.3390/informatics9010013

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

  • ICTree: Automatic Perceptual Metrics for Tree Models (Polasek et al. 2021)

    Polasek, T., Hrusa, D., Benes, B., & Cadik, M. (2021). ICTree: Automatic Perceptual Metrics for Tree Models. ACM Transaction on Graphics, 40(6). https://doi.org/10.1145/3478513.3480525

  • Learning to Reconstruct Botanical Trees from Single Images (Li et al. 2021)

    Li, B., Kałużny, J., Klein, J., Michels, D. L., Pałubicki, W., Benes, B., & Pirk, S. (2021). Learning to Reconstruct Botanical Trees from Single Images. ACM Transaction on Graphics, 40(6). https://doi.org/10.1145/3478513.3480525

  • TreePartNet: Neural Decomposition of Point Clouds for 3D Tree Reconstruction (Liu et al. 2021)

    Liu, Y., Guo, J., Benes, B., Deussen, O., Zhang, X., & Huang, H. (2021). TreePartNet: Neural Decomposition of Point Clouds for 3D Tree Reconstruction. ACM Transaction on Graphics, 40(6). https://doi.org/10.1145/3478513.3480525

  • Authoring Consistent Landscapes with Flora and Fauna (Ecormier-Nocca et al. 2021)

    Ecormier-Nocca, P., Cordonnier, G., Carrez, P., Moigne, A.-marie, Memari, P., Benes, B., & Cani, M.-P. (2021). Authoring Consistent Landscapes with Flora and Fauna. ACM Transactions on Graphics, 40(4). https://doi.org/10.1145/3450626.3459952

  • Urban Brush: Intuitive and Controllable Urban Layout Editing (Zhou et al. 2021)

    Zhou, X., Chang, P., Cani, M.-P. R., & Benes, B. (2021). Urban Brush: Intuitive and Controllable Urban Layout Editing. 796–814. https://doi.org/10.1145/3472749.3474787

  • A Survey of Control Mechanisms for Creative Pattern Generation (Gieseke et al. 2021)

    Gieseke, L., Asente, P., Mech, R., Benes, B., & Fuchs, M. (2021). A Survey of Control Mechanisms for Creative Pattern Generation. Computer Graphics Forum. https://doi.org/10.1111/cgf.142658

  • SSN: Soft Shadow Network for Image Compositing (Sheng et al. 2021)

    Sheng, Y., Zhang, J., & Benes, B. (2021). SSN: Soft Shadow Network for Image Compositing. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 4380–4390. https://doi.org/10.1109/CVPR46437.2021.00436

  • FabHandWear: An End-to-End Pipeline from Design to Fabrication of Customized Functional Hand Wearables (Paredes et al. 2021)

    Paredes, L., Reddy, S. S., Chidambaram, S., Vagholkar, D., Zhang, Y., Benes, B., & Ramani, K. (2021). FabHandWear: An End-to-End Pipeline from Design to Fabrication of Customized Functional Hand Wearables. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 5(2). https://doi.org/10.1145/3463518

  • Edge-based procedural textures (Kim et al. 2021)

    Kim, H., Dischler, J.-M., Rushmeier, H., & Benes, B. (2021). Edge-based procedural textures. The Visual Computer. https://doi.org/10.1007/s00371-021-02212-4

  • Deep BarkID: a portable tree bark identification system by knowledge distillation (Wu et al. 2021)

    Wu, F., Gazo, R., Benes, B., & Haviarova, E. (2021). Deep BarkID: a portable tree bark identification system by knowledge distillation. European Journal of Forest Research. https://doi.org/10.1007/s10342-021-01407-7

  • Data Driven Analytics of Porous Battery Microstructures (Deva et al. 2021)

    Deva, A., Krs, V., Robison, L., Adorf, C., Benes, B., Glotzer, S. C., & Garcia, E. (2021). Data Driven Analytics of Porous Battery Microstructures. Energy & Environmental Science, 2485–2493. https://doi.org/10.1039/D1EE00454A

  • Wood identification based on longitudinal section images by using deep learning (Wu et al. 2021)

    Wu, F., Gazo, R., Haviarova, E., & Benes, B. (2021). Wood identification based on longitudinal section images by using deep learning. Wood Science and Technology, 55, 553–563. https://doi.org/10.1007/s00226-021-01261-1

  • A Learner-Centered Approach for Designing Visuohaptic Simulations for Conceptual Understanding of Truss Structures (Walsh et al. 2021)

    Walsh, Y., Will, H., Magana, A. J., Yuksel, T., Bryan, L., & Benes, B. (2021). A Learner-Centered Approach for Designing Visuohaptic Simulations for Conceptual Understanding of Truss Structures. Computer Applications in Engineering Education. https://doi.org/10.1002/cae.22410

  • The positivity principle: do positive instructors improve learning from video lectures? (Lawson et al. 2021)

    Lawson, A. P., Mayer, R. E., Adamo-Villani, N., Benes, B., Lei, X., & Cheng, J. (2021). The positivity principle: do positive instructors improve learning from video lectures? Educational Technology Research and Developmen. https://doi.org/10.1007/s11423-021-10057-w

  • Multimodal Affective Pedagogical Agents for Different Types of Learners (Adamo et al. 2021)

    Adamo, N., Benes, B., Mayer, R. E., Lei, X., Wang, Z., Meyer, Z., & Lawson, A. (2021). Multimodal Affective Pedagogical Agents for Different Types of Learners. In D. Russo, T. Ahram, W. Karwowski, G. Di Bucchianico, & R. Taiar (Eds.), Intelligent Human Systems Integration 2021 (pp. 218–224). Springer International Publishing. https://doi.org/10.1007/978-3-030-68017-6_33

  • Do Learners Recognize and Relate to the Emotions Displayed By Virtual Instructors? (Lawson et al. 2021)

    Lawson, A. P., Mayer, R. E., Adamo-Villani, N., Benes, B., Lei, X., & Cheng, J. (2021). Do Learners Recognize and Relate to the Emotions Displayed By Virtual Instructors? International Journal of Artificial Intelligence in Education, 114, 1560–4306. https://doi.org/10.1007/s40593-021-00238-2

  • Recognizing the emotional state of human and virtual instructors (Lawson et al. 2021)

    Lawson, A. P., Mayer, R. E., Adamo-Villani, N., Benes, B., Lei, X., & Cheng, J. (2021). Recognizing the emotional state of human and virtual instructors. Computers in Human Behavior, 114, 106554. https://doi.org/10.1016/j.chb.2020.106554

  • Automatic Deep Inference of Procedural Cities from Global-Scale Spatial Data (Zhang et al. 2021)

    Zhang, X., Shehata, A., Benes, B., & Aliaga, D. (2021). Automatic Deep Inference of Procedural Cities from Global-Scale Spatial Data. ACM Trans. Spatial Algorithms Syst., 7(2). https://doi.org/10.1145/3423422

2020

  • Inverse Procedural Modeling of Branching Structures by Inferring L-Systems (Guo et al. 2020)

    Guo, J., Jiang, H., Benes, B., Deussen, O., Zhang, X., Lischinski, D., & Huang, H. (2020). Inverse Procedural Modeling of Branching Structures by Inferring L-Systems. ACM Trans. Graph., 39(5). https://doi.org/10.1145/3394105

  • QuadStack: An Efficient Representation andDirect Rendering of Layered Datasets (Graciano et al. 2020)

    Graciano, A., Rueda-Ruiz, A. J., Pospisil, A., Bittner, J., & Benes, B. (2020). QuadStack: An Efficient Representation andDirect Rendering of Layered Datasets. IEEE Transactions on Visualization and Computer Graphics, 1–1. https://doi.org/10.1109/TVCG.2020.2981565

  • 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

  • Wind Erosion: Shape Modifications by Interactive Particle-based Erosion and Deposition (Krs et al. 2020)

    Krs, V., Haedrich, T., Michels, D. L., Deussen, O., Pirk, S., & Benes, B. (2020). Wind Erosion: Shape Modifications by Interactive Particle-based Erosion and Deposition. In D. L. Michels (Ed.), Eurographics/ ACM SIGGRAPH Symposium on Computer Animation - Posters. The Eurographics Association. https://doi.org/10.2312/sca.20201216

  • Multiscale computational models can guide experimentation and targeted measurements for crop improvement (Benes et al. 2020)

    Benes, B., Guan, K., Lang, M., Long, S. P., Lynch, J. P., Marshall-Colón, A., Peng, B., Schnable, J., Sweetlove, L. J., & Turk, M. J. (2020). Multiscale computational models can guide experimentation and targeted measurements for crop improvement. The Plant Journal, 103(1), 21–31. https://doi.org/10.1111/tpj.14722

  • An algorithm for automatic dormant tree pruning (Kolmanič et al. 2020)

    Kolmanič, S., Strnad, D., Štefan Kohek, Benes, B., Hirst, P., & Žalik, B. (2020). An algorithm for automatic dormant tree pruning. Applied Soft Computing, 106931. https://doi.org/https://doi.org/10.1016/j.asoc.2020.106931

  • A framework for multi-objective optimization of virtual tree pruning based on growth simulation (Strnad et al. 2020)

    Strnad, D., Štefan Kohek, Benes, B., Kolmanič, S., & Žalik, B. (2020). A framework for multi-objective optimization of virtual tree pruning based on growth simulation. Expert Systems with Applications, 162, 113792. https://doi.org/https://doi.org/10.1016/j.eswa.2020.113792

  • 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

  • A Review of Training and Guidance Systems in Medical Surgery (Escobar-Castillejos et al. 2020)

    Escobar-Castillejos, D., Noguez, J., Bello, F., Neri, L., Magana, A. J., & Benes, B. (2020). A Review of Training and Guidance Systems in Medical Surgery. Applied Sciences, 10(17), 5752. https://doi.org/10.3390/app10175752

  • Interactive Inverse Spatio-Temporal Crowd Motion Design (Mathew et al. 2020)

    Mathew, T., Benes, B., & Aliaga, D. (2020). Interactive Inverse Spatio-Temporal Crowd Motion Design. In Symposium on Interactive 3D Graphics and Games. Association for Computing Machinery. https://doi.org/10.1145/3384382.3384528

  • Character Animation in Function Space (Yoo et al. 2020)

    Yoo, I., Fišer, M., Hu, K., & Benes, B. (2020). Character Animation in Function Space. The Visual Computer, 1432–2315. https://doi.org/10.1007/s00371-020-01840-6

    The Best Paper of GRAPP 2019

  • An output-driven approach to design a swarming model for architectural indoor environments (Mathew et al. 2020)

    Mathew, T., Benes, B., & Aliaga, D. G. (2020). An output-driven approach to design a swarming model for architectural indoor environments. Computers & Graphics, 87, 103–110. https://doi.org/10.1016/j.cag.2020.02.003

  • A fast pith detection for computed tomography scanned hardwood logs (Gazo et al. 2020)

    Gazo, R., Vanek, J., Abdul-Massih, M., & Benes, B. (2020). A fast pith detection for computed tomography scanned hardwood logs. Computers and Electronics in Agriculture, 170, 105107. https://doi.org/https://doi.org/10.1016/j.compag.2019.105107

  • Deep Learning-Based Emotion Recognition from Real-Time Videos (Zhou et al. 2020)

    Zhou, W., Cheng, J., Lei, X., Benes, B., & Adamo, N. (2020). Deep Learning-Based Emotion Recognition from Real-Time Videos. In M. Kurosu (Ed.), Human-Computer Interaction. Multimodal and Natural Interaction (pp. 321–332). Springer International Publishing. https://doi.org/10.1007/978-3-030-49062-1_22

  • The Effects of Body Gestures and Gender on Viewer’s Perception of Animated Pedagogical Agent’s Emotions (Cheng et al. 2020)

    Cheng, J., Zhou, W., Lei, X., Adamo, N., & Benes, B. (2020). The Effects of Body Gestures and Gender on Viewer’s Perception of Animated Pedagogical Agent’s Emotions. In M. Kurosu (Ed.), Human-Computer Interaction. Multimodal and Natural Interaction (pp. 169–186). Springer International Publishing. https://doi.org/10.1007/978-3-030-49062-1_11

  • Computer Graphics Forum Editorial (Hauser et al. 2020)

    Hauser, H., & Benes, B. (2020). Computer Graphics Forum Editorial. Computer Graphics Forum, 39(1), 5–6. https://doi.org/10.1111/cgf.13901

2019

  • A Review of Digital Terrain Modeling (Galin et al. 2019)

    Galin, E., Guérin, E., Peytavie, A., Cordonnier, G., Cani, M.-P., Benes, B., & Gain, J. (2019). A Review of Digital Terrain Modeling. Computer Graphics Forum, 38(2), 553–577. https://doi.org/10.1111/cgf.13657

  • 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

  • LeRoP: A Learning-Based Modular Robot Photography Framework (Kang et al. 2019)

    Kang, H., Zhang, J., Li, H., Lin, Z., Rhodes, T. J., & Benes, B. (2019). LeRoP: A Learning-Based Modular Robot Photography Framework. In https://arxiv.org/abs/1911.12470.

  • PVRD-FASP: A Unified Solver for Modeling Carrier and Defect Transport in Photovoltaic Devices (Shaik et al. 2019)

    Shaik, A. R., Brinkman, D., Sankin, I., Ringhofer, C., Krasikov, D., Kang, H., Benes, B., & Vasileska, D. (2019). PVRD-FASP: A Unified Solver for Modeling Carrier and Defect Transport in Photovoltaic Devices. IEEE Journal of Photovoltaics, 9(6), 1602–1613.

  • Visuohaptic experiments: Exploring the effects of visual and haptic feedback on students’ learning of friction concepts (Yuksel et al. 2019)

    Yuksel, T., Walsh, Y., Magana, A. J., Nova, N., Krs, V., Ngambeki, I., Berger, E. J., & Benes, B. (2019). Visuohaptic experiments: Exploring the effects of visual and haptic feedback on students’ learning of friction concepts. Computer Applications in Engineering Education, 27(6), 1376–1401. https://doi.org/10.1002/cae.22157

  • PTRM: Perceived Terrain Realism Metrics (Rajasekaran et al. 2019)

    Rajasekaran, S. D., Kang, H., Benes, B., Čadı́k Martin, Galin, E., Guérin, E., Peytavie, A., & Slavı́k Pavel. (2019). PTRM: Perceived Terrain Realism Metrics. ArXiv Preprint ArXiv:1909.04610.

  • Efficient Project Gradient Descent for Ensemble Adversarial Attack (Wu et al. 2019)

    Wu, F., Gazo, R., Haviarova, E., & Benes, B. (2019). Efficient Project Gradient Descent for Ensemble Adversarial Attack. ArXiv Preprint ArXiv:1906.03333.

  • Postevent Reconnaissance Image Documentation Using Automated Classification (Yeum et al. 2019)

    Yeum, C. M., Dyke, S. J., Benes, B., Hacker, T., Ramirez, J., Lund, A., & Pujol, S. (2019). Postevent Reconnaissance Image Documentation Using Automated Classification. Journal of Performance of Constructed Facilities, 33(1), 04018103. https://doi.org/10.1061/(ASCE)CF.1943-5509.0001253

  • Character Motion in Function Space (Yoo et al. 2019)

    Yoo, I., Fišer, M., Hu, K., & Benes, B. (2019). Character Motion in Function Space. GRAPP 2019.

    Best Paper of GRAPP 2019

2018

  • Sculpting Mountains: Interactive Terrain Modeling Based on Subsurface Geology (Cordonnier et al. 2018)

    Cordonnier, G., Cani, M.-P., Benes, B., Braun, J., & Galin, E. (2018). Sculpting Mountains: Interactive Terrain Modeling Based on Subsurface Geology. IEEE Transactions on Visualization and Computer Graphics, 24(5), 1756–1769. https://doi.org/10.1109/TVCG.2017.2689022

  • Interactive Generation of Time-evolving, Snow-Covered Landscapes with Avalanches (Cordonnier et al. 2018)

    Cordonnier, G., Ecormier, P., Galin, E., Gain, J., Benes, B., & Cani, M.-P. (2018). Interactive Generation of Time-evolving, Snow-Covered Landscapes with Avalanches. Computer Graphics Forum, 37(2), 497–509. https://doi.org/10.1111/cgf.13379

  • Near-convex decomposition and layering for efficient 3D printing (Demir et al. 2018)

    Demir, I., Aliaga, D. G., & Benes, B. (2018). Near-convex decomposition and layering for efficient 3D printing. Additive Manufacturing, 21, 383–394. https://doi.org/10.1016/j.addma.2018.03.008

  • FlyCam: Multitouch Gesture Controlled Drone Gimbal Photography (Kang et al. 2018)

    Kang, H., Li, H., Zhang, J., Lu, X., & Benes, B. (2018). FlyCam: Multitouch Gesture Controlled Drone Gimbal Photography. IEEE Robotics and Automation Letters, 3(4), 3717–3724. https://doi.org/10.1109/LRA.2018.2856271

  • Validation of automated hardwood lumber grading system (Gazo et al. 2018)

    Gazo, R., Wells, L., Krs, V., & Benes, B. (2018). Validation of automated hardwood lumber grading system. Computers and Electronics in Agriculture, 155, 496–500. https://doi.org/https://doi.org/10.1016/j.compag.2018.06.041

  • Defect detection performance of automated hardwood lumber grading system (Wells et al. 2018)

    Wells, L., Gazo, R., Re, R. D., Krs, V., & Benes, B. (2018). Defect detection performance of automated hardwood lumber grading system. Computers and Electronics in Agriculture, 155, 487–495. https://doi.org/https://doi.org/10.1016/j.compag.2018.09.025

  • Improving printing orientation for Fused Deposition Modeling printers by analyzing connected components (Galicia et al. 2018)

    Galicia, J. A. G., & Benes, B. (2018). Improving printing orientation for Fused Deposition Modeling printers by analyzing connected components. Additive Manufacturing, 22, 720–728. https://doi.org/https://doi.org/10.1016/j.addma.2018.06.007

  • Designing a Visuohaptic Simulation to Promote Graphical Representations and Conceptual Understanding of Structural Analysis (Walsh et al. 2018)

    Walsh, Y., Magana, A. J., Quintana, J., Krs, V., Coutinho, G., Berger, E., Ngambeki, I. B., Efendy, E., & Benes, B. (2018). Designing a Visuohaptic Simulation to Promote Graphical Representations and Conceptual Understanding of Structural Analysis. 2018 IEEE Frontiers in Education Conference (FIE), 1–7. https://doi.org/10.1109/FIE.2018.8658885

  • A Simple and Robust Approach to Computation of Meshes Intersection. (Skorkovská et al. 2018)

    Skorkovská, V., Kolingerová, I., & Benes, B. (2018). A Simple and Robust Approach to Computation of Meshes Intersection. VISIGRAPP (1: GRAPP), 175–182.

  • I3T: Using Interactive Computer Graphics to Teach Geometric Transformations (Felkel et al. 2018)

    Felkel, P., Magana, A. J., Folta, M., Sears, A. G., & Benes, B. (2018). I3T: Using Interactive Computer Graphics to Teach Geometric Transformations. In F. Post & J. Žára (Eds.), EG 2018 - Education Papers. The Eurographics Association. https://doi.org/10.2312/eged.20181000

  • Automating Visual Data Processing to Suupport Post-Earthquake Reconnaissance (Yeum et al. 2018)

    Yeum, C. M., Dyke, S., Benes, B., Hacker, T., Ramírez, J., Lund, A., Sim, C., & Pujol, S. (2018). Automating Visual Data Processing to Suupport Post-Earthquake Reconnaissance.

2017

  • Skippy: Single View 3D Curve Interactive Modeling (Krs et al. 2017)

    Krs, V., Yumer, E., Carr, N., Benes, B., & Měch Radomı́r. (2017). Skippy: Single View 3D Curve Interactive Modeling. ACM Trans. Graph., 36(4), 128:1–128:12. https://doi.org/10.1145/3072959.3073603

  • Authoring Landscapes by Combining Ecosystem and Terrain Erosion Simulation (Cordonnier et al. 2017)

    Cordonnier, G., Galin, E., Gain, J., Benes, B., Guérin, E., Peytavie, A., & Cani, M.-P. (2017). Authoring Landscapes by Combining Ecosystem and Terrain Erosion Simulation. ACM Trans. Graph., 36(4), 134:1–134:12. https://doi.org/10.1145/3072959.3073667

  • Understanding and Exploiting Object Interaction Landscapes (Pirk et al. 2017)

    Pirk, S., Krs, V., Hu, K., Rajasekaran, S. D., Kang, H., Yoshiyasu, Y., Benes, B., & Guibas, L. J. (2017). Understanding and Exploiting Object Interaction Landscapes. ACM Trans. Graph., 36(3). https://doi.org/10.1145/3083725

  • Interactive Example-based Terrain Authoring with Conditional Generative Adversarial Networks (Guérin et al. 2017)

    Guérin, É., Digne, J., Galin, É., Peytavie, A., Wolf, C., Benes, B., & Martinez Benoı̂t. (2017). Interactive Example-based Terrain Authoring with Conditional Generative Adversarial Networks. ACM Trans. Graph., 36(6), 228:1–228:13. https://doi.org/10.1145/3130800.3130804

  • Error-Bounded and Feature Preserving Surface Remeshing with Minimal Angle Improvement (Hu et al. 2017)

    Hu, K., Yan, D., Bommes, D., Alliez, P., & Benes, B. (2017). Error-Bounded and Feature Preserving Surface Remeshing with Minimal Angle Improvement. IEEE Transactions on Visualization and Computer Graphics, 23(12), 2560–2573. https://doi.org/10.1109/TVCG.2016.2632720

  • Interactive modeling and authoring of climbing plants (Hädrich et al. 2017)

    Hädrich, T., Benes, B., Deussen, O., & Pirk, S. (2017). Interactive modeling and authoring of climbing plants. Computer Graphics Forum, 36(2), 49–61. https://doi.org/10.1111/cgf.13106

    Honorable mention from the Best Papers Committee

  • Barcode: Global Binary Patterns for Fast Visual Inference (Lee et al. 2017)

    Lee, T.-Y., Patil, S., Ramalingam, S., Taguchi, Y., & Benes, B. (2017). Barcode: Global Binary Patterns for Fast Visual Inference. 2017 International Conference on 3D Vision (3DV), 630–639. https://doi.org/10.1109/3DV.2017.00077

  • Crops In Silico: Generating Virtual Crops Using an Integrative and Multi-scale Modeling Platform (Marshall-Colon et al. 2017)

    Marshall-Colon, A., Long, S. P., Allen, D. K., Allen, G., Beard, D. A., Benes, B., von Caemmerer, S., Christensen, A. J., Cox, D. J., Hart, J. C., Hirst, P. M., Kannan, K., Katz, D. S., Lynch, J. P., Millar, A. J., Panneerselvam, B., Price, N. D., Prusinkiewicz, P., Raila, D., … Zhu, X.-G. (2017). Crops In Silico: Generating Virtual Crops Using an Integrative and Multi-scale Modeling Platform. Frontiers in Plant Science, 8, 786. https://doi.org/10.3389/fpls.2017.00786

  • IMapple: a source-sink developmental model for’Golden Delicious’ apple trees (Fišer et al. 2017)

    Fišer, M., Ravi, J., Benes, B., Shi, B., & Hirst, P. (2017). IMapple: a source-sink developmental model for’Golden Delicious’ apple trees. Acta Hortic, 51–60. https://doi.org/doi.org/10.17660/ActaHortic.2017.1160.8

  • Exploration of affordances of visuo-haptic simulations to learn the concept of friction (Yuksel et al. 2017)

    Yuksel, T., Walsh, Y., Krs, V., Benes, B., Ngambeki, I. B., Berger, E. J., & Magana, A. J. (2017). Exploration of affordances of visuo-haptic simulations to learn the concept of friction. 2017 IEEE Frontiers in Education Conference (FIE), 1–9. https://doi.org/10.1109/FIE.2017.8190471

  • Rapid, Automated Post-Event Image Classification and Documentation (Yeum et al. 2017)

    Yeum, C. M., Dyke, S. J., Benes, B., Hacker, T., Ramirez, J., Lund, A., & Pujol, S. (2017). Rapid, Automated Post-Event Image Classification and Documentation. 7th Int’l Conference on Advances in Experimental Structural Engineering.

  • Exploring Multimedia Principles for Supporting Conceptual Learning of Electricity and Magnetism with Visuohaptic Simulations (Magana et al. 2017)

    Magana, A., Sanchez, K., Shaikh, U., Jones, G., Tan, H., Guayaquil, A., & Benes, B. (2017). Exploring Multimedia Principles for Supporting Conceptual Learning of Electricity and Magnetism with Visuohaptic Simulations. Computers in Education Journal, 8(2), 9–23.

  • Undergraduate students’ conceptual interpretation and perceptions of haptic-enabled learning experiences (Shaikh et al. 2017)

    Shaikh, U. A. S., Magana, A. J., Neri, L., Escobar-Castillejos, D., Noguez, J., & Benes, B. (2017). Undergraduate students’ conceptual interpretation and perceptions of haptic-enabled learning experiences. International Journal of Educational Technology in Higher Education, 14(1), 15. https://doi.org/10.1186/s41239-017-0053-2

  • Computational Design and Fabrication (Benes et al. 2017)

    Benes, B., Kasik, D. J., Li, W., & Zhang, H. (2017). Computational Design and Fabrication. IEEE Computer Graphics and Applications, 37(3), 32–33. https://doi.org/10.1109/MCG.2017.50

  • Proceduralization of urban models (Demir et al. 2017)

    Demir, I., Aliaga, D. G., & Benes, B. (2017). Proceduralization of urban models. 2017 25th Signal Processing and Communications Applications Conference (SIU), 1–4. https://doi.org/10.1109/SIU.2017.7960418

  • Identifying Affordances of Physical Manipulative Tools for the Design of Visuo-haptic Simulations (Walsh et al. 2017)

    Walsh, Y., Magana, A. J., Yuksel, T., Krs, V., Ngambeki, I. B., Berger, E. J., & Benes, B. (2017). Identifying Affordances of Physical Manipulative Tools for the Design of Visuo-haptic Simulations. 2017 ASEE Annual Conference & Exposition.

2016

  • Interactive Sketching of Urban Procedural Models (Nishida et al. 2016)

    Nishida, G., Garcia-Dorado, I., Aliaga, D. G., Benes, B., & Bousseau, A. (2016). Interactive Sketching of Urban Procedural Models. ACM Trans. Graph., 35(4), 130:1–130:11. https://doi.org/10.1145/2897824.2925951

  • Connected Fermat Spirals for Layered Fabrication (Zhao et al. 2016)

    Zhao, H., Gu, F., Huang, Q.-X., Garcia, J., Chen, Y., Tu, C., Benes, B., Zhang, H., Cohen-Or, D., & Chen, B. (2016). Connected Fermat Spirals for Layered Fabrication. ACM Trans. Graph., 35(4), 100:1–100:10. https://doi.org/10.1145/2897824.2925958

  • Inverse Procedural Modeling of 3D Models for Virtual Worlds (Aliaga et al. 2016)

    Aliaga, D. G., Demir, İ., Benes, B., & Wand, M. (2016). Inverse Procedural Modeling of 3D Models for Virtual Worlds. ACM SIGGRAPH 2016 Courses, 16:1–16:316. https://doi.org/10.1145/2897826.2927323

  • Modeling Plant Life in Computer Graphics (Pirk et al. 2016)

    Pirk, S., Benes, B., Ijiri, T., Li, Y., Deussen, O., Chen, B., & Měch, R. (2016). Modeling Plant Life in Computer Graphics. ACM SIGGRAPH 2016 Courses, 18:1–18:180. https://doi.org/10.1145/2897826.2927332

  • Environmental Objects for Authoring Procedural Scenes (Grosbellet et al. 2016)

    Grosbellet, F., Peytavie, A., Guérin, É., Galin, E., Mérillou, S., & Benes, B. (2016). Environmental Objects for Authoring Procedural Scenes. Computer Graphics Forum, 35(1), 296–308. https://doi.org/10.1111/cgf.12726

  • Large Scale Terrain Generation from Tectonic Uplift and Fluvial Erosion (Cordonnier et al. 2016)

    Cordonnier, G., Braun, J., Cani, M.-P., Benes, B., Galin, E., Peytavie, A., & Guérin, E. (2016). Large Scale Terrain Generation from Tectonic Uplift and Fluvial Erosion. Computer Graphics Forum, 35(2), 165–175. https://doi.org/10.1111/cgf.12820

  • Learning Geometric Graph Grammars (Fišer et al. 2016)

    Fišer, M., Benes, B., Galicia, J. G., Abdul-Massih, M., Aliaga, D. G., & Krs, V. (2016). Learning Geometric Graph Grammars. Proceedings of the 32Nd Spring Conference on Computer Graphics, 7–15. https://doi.org/10.1145/2948628.2948635

  • IMapple - Functional structural model of apple trees (Kang et al. 2016)

    Kang, H., Fiser, M., Shi, B., Sheibani, F., Hirst, P., & Benes, B. (2016). IMapple - Functional structural model of apple trees. 2016 IEEE International Conference on Functional-Structural Plant Growth Modeling, Simulation, Visualization and Applications (FSPMA), 90–97. https://doi.org/10.1109/FSPMA.2016.7818293

  • Big visual data analytics for damage classification in civil engineering (Yeum et al. 2016)

    Yeum, C. M., Dyke, S. J., Ramirez, J., & Benes, B. (2016). Big visual data analytics for damage classification in civil engineering. Transforming the Future of Infrastructure through Smarter Information: Proceedings of the International Conference on Smart Infrastructure and Construction, 27-29 June 2016, 569–574. https://doi.org/10.1680/tfitsi.61279.569

  • Proceduralization for editing 3d architectural models (Demir et al. 2016)

    Demir, I., Aliaga, D. G., & Benes, B. (2016). Proceduralization for editing 3d architectural models. 2016 Fourth International Conference on 3D Vision (3DV), 194–202. https://doi.org/10.1109/3DV.2016.28

  • Computer Graphics Procedural Modeling of Soil Structure (Kim et al. 2016)

    Kim, H., Dorantes, M. J., Schulze, D. G., & Benes, B. (2016). Computer Graphics Procedural Modeling of Soil Structure. In A. E. Hartemink & B. Minasny (Eds.), Digital Soil Morphometrics (pp. 133–144). Springer International Publishing. https://doi.org/10.1007/978-3-319-28295-4_9

  • FOVEA: a new program to standardize the measurement of foveal pit morphology (Moore et al. 2016)

    Moore, B. A., Yoo, I., Tyrrell, L. P., Benes, B., & Fernandez-Juricic, E. (2016). FOVEA: a new program to standardize the measurement of foveal pit morphology. PeerJ, 4, e1785. https://doi.org/https://doi.org/10.7717/peerj.1785

  • A review of simulators with haptic devices for medical training (Escobar-Castillejos et al. 2016)

    Escobar-Castillejos, D., Noguez, J., Neri, L., Magana, A., & Benes, B. (2016). A review of simulators with haptic devices for medical training. Journal of Medical Systems, 40(4), 104. https://doi.org/https://doi.org/10.1007/s10916-016-0459-8

2015

  • WorldBrush: Interactive Example-Based Synthesis of Procedural Virtual Worlds (Emilien et al. 2015)

    Emilien, A., Vimont, U., Cani, M.-P., Poulin, P., & Benes, B. (2015). WorldBrush: Interactive Example-Based Synthesis of Procedural Virtual Worlds. ACM Trans. Graph., 34(4). https://doi.org/10.1145/2766975

  • Coupled Segmentation and Similarity Detection for Architectural Models (Demir et al. 2015)

    Demir, I., Aliaga, D. G., & Benes, B. (2015). Coupled Segmentation and Similarity Detection for Architectural Models. ACM Trans. Graph., 34(4). https://doi.org/10.1145/2766923

  • Dapper: Decompose-and-Pack for 3D Printing (Chen et al. 2015)

    Chen, X., Zhang, H., Lin, J., Hu, R., Lu, L., Huang, Q., Benes, B., Cohen-Or, D., & Chen, B. (2015). Dapper: Decompose-and-Pack for 3D Printing. ACM Trans. Graph., 34(6). https://doi.org/10.1145/2816795.2818087

  • Terrain Modelling from Feature Primitives (Genevaux et al. 2015)

    Genevaux, J.-D., Galin, E., Peytavie, A., Guérin, E., Briquet, C., Grosbellet, F., & Benes, B. (2015). Terrain Modelling from Feature Primitives. Computer Graphics Forum, 34(6), 198–210. https://doi.org/10.1111/cgf.12530

  • Procedural editing of 3d building point clouds (Demir et al. 2015)

    Demir, I., Aliaga, D. G., & Benes, B. (2015). Procedural editing of 3d building point clouds. Proceedings of the IEEE International Conference on Computer Vision, 2147–2155. https://doi.org/10.1109/ICCV.2015.248

  • Motion retiming by using bilateral time control surfaces (Yoo et al. 2015)

    Yoo, I., Massih, M. A., Ziamtsov, I., Hassan, R., & Benes, B. (2015). Motion retiming by using bilateral time control surfaces. Computers & Graphics, 47, 59–67. https://doi.org/http://doi.org/10.1016/j.cag.2014.11.001

  • Hydraulic Erosion Modeling on a Triangular Mesh (Skorkovská et al. 2015)

    Skorkovská, V., Kolingerová, I., & Benes, B. (2015). Hydraulic Erosion Modeling on a Triangular Mesh. In K. Růžičková & T. Inspektor (Eds.), Surface Models for Geosciences (pp. 237–247). Springer International Publishing. https://doi.org/10.1007/978-3-319-18407-4_20

  • User-Assisted Inverse Procedural Facade Modeling and Compressed Image Rendering (Zhuo et al. 2015)

    Zhuo, H., Zhou, S., Benes, B., & Whittinghill, D. (2015). User-Assisted Inverse Procedural Facade Modeling and Compressed Image Rendering. In G. Bebis, R. Boyle, B. Parvin, D. Koracin, I. Pavlidis, R. Feris, T. McGraw, M. Elendt, R. Kopper, E. Ragan, Z. Ye, & G. Weber (Eds.), Advances in Visual Computing (pp. 126–136). Springer International Publishing. https://doi.org/10.1007/978-3-319-27863-6_12

  • Improving the learning of physics concepts by using haptic devices (Neri et al. 2015)

    Neri, L., Shaikh, U. A. S., Escobar-Castillejos, D., Magana, A. J., Noguez, J., & Benes, B. (2015). Improving the learning of physics concepts by using haptic devices. 2015 IEEE Frontiers in Education Conference (FIE), 1–7. https://doi.org/10.1109/FIE.2015.7344069

2014

  • Windy Trees: Computing Stress Response for Developmental Tree Models (Pirk et al. 2014)

    Pirk, S., Niese, T., Hädrich, T., Benes, B., & Deussen, O. (2014). Windy Trees: Computing Stress Response for Developmental Tree Models. ACM Trans. Graph., 33(6). https://doi.org/10.1145/2661229.2661252

  • Clever Support: Efficient Support Structure Generation for Digital Fabrication (Vanek et al. 2014)

    Vanek, J., Galicia, J. A. G., & Benes, B. (2014). Clever Support: Efficient Support Structure Generation for Digital Fabrication. Computer Graphics Forum, 33(5), 117–125. https://doi.org/10.1111/cgf.12437

  • A Survey on Procedural Modelling for Virtual Worlds (Smelik et al. 2014)

    Smelik, R. M., Tutenel, T., Bidarra, R., & Benes, B. (2014). A Survey on Procedural Modelling for Virtual Worlds. Computer Graphics Forum, 33(6), 31–50. https://doi.org/10.1111/cgf.12276

  • Sketching human character animations by composing sequences from large motion database (Yoo et al. 2014)

    Yoo, I., Vanek, J., Nizovtseva, M., Adamo-Villani, N., & Benes, B. (2014). Sketching human character animations by composing sequences from large motion database. The Visual Computer, 30(2), 213–227. https://doi.org/10.1007/s00371-013-0797-1

  • A Flexible Pinhole Camera Model for Coherent Nonuniform Sampling (Popescu et al. 2014)

    Popescu, V., Benes, B., Rosen, P., Cui, J., & Wang, L. (2014). A Flexible Pinhole Camera Model for Coherent Nonuniform Sampling. IEEE Computer Graphics and Applications, 34(04), 30–41. https://doi.org/10.1109/MCG.2014.21

  • A hybrid level-of-detail representation for large-scale urban scenes rendering (Zhou et al. 2014)

    Zhou, S., Yoo, I., Benes, B., & Chen, G. (2014). A hybrid level-of-detail representation for large-scale urban scenes rendering. Computer Animation and Virtual Worlds, 25(3-4), 243–253. https://doi.org/10.1002/cav.1582

  • Proceduralization of Buildings at City Scale (Demir et al. 2014)

    Demir, I., Aliaga, D. G., & Benes, B. (2014). Proceduralization of Buildings at City Scale. 2014 2nd International Conference on 3D Vision, 1, 456–463. https://doi.org/10.1109/3DV.2014.31

  • Integrating Spatial Educational Experiences (ISEE) into Crop, Soil, and Environmental Science Curricula (Schulze et al. 2014)

    Schulze, D. G., Owens, P. R., Snyder, L. U., Van Scoyoc, G. E., Graveel, J. G., Steinhardt, G. C., Miller, C. C., Bracke, M. S., Glotzbach, R. J., & Benes, B. (2014). Integrating Spatial Educational Experiences (ISEE) into Crop, Soil, and Environmental Science Curricula. https://www.cabdirect.org/cabdirect/abstract/20113387015

2013

  • Terrain Generation Using Procedural Models Based on Hydrology (Genevaux et al. 2013)

    Genevaux, J.-D., Galin, É., Guérin, E., Peytavie, A., & Benes, B. (2013). Terrain Generation Using Procedural Models Based on Hydrology. ACM Trans. Graph., 32(4). https://doi.org/10.1145/2461912.2461996

  • Perceptual Importance of Lighting Phenomena in Rendering of Animated Water (Bojrab et al. 2013)

    Bojrab, M., Abdul-Massih, M., & Benes, B. (2013). Perceptual Importance of Lighting Phenomena in Rendering of Animated Water. ACM Trans. Appl. Percept., 10(1). https://doi.org/10.1145/2422105.2422107

  • Foreword to special section on advances in procedural modeling (Benes et al. 2013)

    Benes, B., & Aliaga, D. (2013). Foreword to special section on advances in procedural modeling. Computers & Graphics, 37(4), A3. https://doi.org/https://doi.org/10.1016/j.cag.2013.02.001

2012

  • Automatic Extraction of Manhattan-World Building Masses from 3D Laser Range Scans (Vanegas et al. 2012)

    Vanegas, C. A., Aliaga, D. G., & Benes, B. (2012). Automatic Extraction of Manhattan-World Building Masses from 3D Laser Range Scans. IEEE Transactions on Visualization and Computer Graphics, 18(10), 1627–1637. https://doi.org/10.1109/TVCG.2012.30

  • Stress Relief: Improving Structural Strength of 3D Printable Objects (Stava et al. 2012)

    Stava, O., Vanek, J., Benes, B., Carr, N., & Měch Radomı́r. (2012). Stress Relief: Improving Structural Strength of 3D Printable Objects. ACM Trans. Graph., 31(4). https://doi.org/10.1145/2185520.2185544

  • Plastic Trees: Interactive Self-Adapting Botanical Tree Models (Pirk et al. 2012)

    Pirk, S., Stava, O., Kratt, J., Said, M. A. M., Neubert, B., Měch Radomı́r, Benes, B., & Deussen, O. (2012). Plastic Trees: Interactive Self-Adapting Botanical Tree Models. ACM Trans. Graph., 31(4). https://doi.org/10.1145/2185520.2185546

  • Quantification of Fossil Fuel CO2 Emissions on the Building/Street Scale for a Large U.S. City (Gurney et al. 2012)

    Gurney, K. R., Razlivanov, I., Song, Y., Zhou, Y., Benes, B., & Abdul-Massih, M. (2012). Quantification of Fossil Fuel CO2 Emissions on the Building/Street Scale for a Large U.S. City. Environmental Science & Technology, 46(21), 12194–12202. https://doi.org/10.1021/es3011282

  • Inverse Design of Urban Procedural Models (Vanegas et al. 2012)

    Vanegas, C. A., Garcia-Dorado, I., Aliaga, D. G., Benes, B., & Waddell, P. (2012). Inverse Design of Urban Procedural Models. ACM Trans. Graph., 31(6). https://doi.org/10.1145/2366145.2366187

2011

  • Large-Scale Physics-Based Terrain Editing Using Adaptive Tiles on the GPU (Vanek et al. 2011)

    Vanek, J., Benes, B., Herout, A., & Stava, O. (2011). Large-Scale Physics-Based Terrain Editing Using Adaptive Tiles on the GPU. IEEE Computer Graphics and Applications, 31(6), 35–44. https://doi.org/10.1109/MCG.2011.66

  • Built-in Electric Field Minimization in (In, Ga)N Nanoheterostructures (Liang et al. 2011)

    Liang, Z., Wildeson, I. H., Colby, R., Ewoldt, D. A., Zhang, T., Sands, T. D., Stach, E. A., Benes, B., & Garcı́a R. Edwin. (2011). Built-in Electric Field Minimization in (In, Ga)N Nanoheterostructures. Nano Letters, 11(11), 4515–4519. https://doi.org/10.1021/nl1044605

  • Urban Ecosystem Design (Benes et al. 2011)

    Benes, B., Massih, M. A., Jarvis, P., Aliaga, D. G., & Vanegas, C. A. (2011). Urban Ecosystem Design. Symposium on Interactive 3D Graphics and Games, 167–174. https://doi.org/10.1145/1944745.1944773

  • Augmenting Heteronanostructure Visualization with Haptic Feedback (Abdul-Massih et al. 2011)

    Abdul-Massih, M., Benes, B., Zhang, T., Platzer, C., Leavenworth, W., Zhuo, H., García, E. R., & Liang, Z. (2011). Augmenting Heteronanostructure Visualization with Haptic Feedback. In G. Bebis, R. Boyle, B. Parvin, D. Koracin, S. Wang, K. Kyungnam, B. Benes, K. Moreland, C. Borst, S. DiVerdi, C. Yi-Jen, & J. Ming (Eds.), Advances in Visual Computing (pp. 627–636). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-24031-7_63

  • Authoring Hierarchical Road Networks (Galin et al. 2011)

    Galin, E., Peytavie, A., Guérin, E., & Benes, B. (2011). Authoring Hierarchical Road Networks. Computer Graphics Forum, 30(7), 2021–2030. https://doi.org/10.1111/j.1467-8659.2011.02055.x

  • Experiences in Disseminating Educational Visualizations (Andrysco et al. 2011)

    Andrysco, N., Rosen, P., Popescu, V., Benes, B., & Gurney, K. R. (2011). Experiences in Disseminating Educational Visualizations. In G. Bebis, R. Boyle, B. Parvin, D. Koracin, S. Wang, K. Kyungnam, B. Benes, K. Moreland, C. Borst, S. DiVerdi, C. Yi-Jen, & J. Ming (Eds.), Advances in Visual Computing (pp. 239–248). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-24031-7_24

  • Guided Procedural Modeling (Benes et al. 2011)

    Benes, B., Št’ava, O., Měch, R., & Miller, G. (2011). Guided Procedural Modeling. Computer Graphics Forum, 30(2), 325–334. https://doi.org/10.1111/j.1467-8659.2011.01886.x

  • Chapter 35 - Connected Component Labeling in CUDA (Štava et al. 2011)

    Štava, O., & Benes, B. (2011). Chapter 35 - Connected Component Labeling in CUDA. In W.-mei W. Hwu (Ed.), GPU Computing Gems Emerald Edition (pp. 569–581). Morgan Kaufmann. https://doi.org/10.1016/B978-0-12-384988-5.00035-8

  • A Guided Inquiry-Based Learning Approach to High Performance Computer Graphics Education (Magana et al. 2011)

    Magana, A. J., & Benes, B. (2011). A Guided Inquiry-Based Learning Approach to High Performance Computer Graphics Education. American Society for Engineering Education.

2010

  • An intuitive polygon morphing (Málková et al. 2010)

    Málková, M., Parus, J., Kolingerová, I., & Benes, B. (2010). An intuitive polygon morphing. The Visual Computer, 26(3), 205–215. https://doi.org/10.1007/s00371-009-0396-3

  • Building reconstruction using manhattan-world grammars (Vanegas et al. 2010)

    Vanegas, C. A., Aliaga, D. G., & Benes, B. (2010). Building reconstruction using manhattan-world grammars. Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference On, 358–365. https://doi.org/10.1109/CVPR.2010.5540190

  • Inverse Procedural Modeling by Automatic Generation of L-systems (Štava et al. 2010)

    Štava, O., Benes, B., Měch, R., Aliaga, D. G., & Krištof, P. (2010). Inverse Procedural Modeling by Automatic Generation of L-systems. Computer Graphics Forum, 29(2), 665–674. https://doi.org/10.1111/j.1467-8659.2009.01636.x

  • Isee-Integrating spatial educational experiences into soil, crop, and environmental sciences (Schulze et al. 2010)

    Schulze, D. G., Owens, P. R., Mitzman, S., Snyder, L. J. U., Scoyoc, G. E. V., Graveel, J. G., Steinhardt, G., Miller, C. C., Bracke, M. S., Glotzbach, R. J., Kocur, L. A., Benes, B., Neely, T., Wiggington, M., Nielson, R. M., Gilkes, R. J., & Prakongkep, N. (2010). Isee-Integrating spatial educational experiences into soil, crop, and environmental sciences. 19th World Congress of Soil Science, Soils for a Changing World.

2009

  • Visual Exploration of the Vulcan CO2 Data (Andrysco et al. 2009)

    Andrysco, N., Gurney, K. R., Benes, B., & Corbin, K. (2009). Visual Exploration of the Vulcan CO2 Data. IEEE Computer Graphics and Applications, 29(1), 6–11. https://doi.org/10.1109/MCG.2009.19

  • Interactive Hydraulic Erosion on the GPU (Stava et al. 2009)

    Stava, O., Benes, B., & Krivanek, J. (2009). Interactive Hydraulic Erosion on the GPU. In W. Engel (Ed.), ShaderX 7 - Advanced Rendering Techniques. Oxford University Press.

  • Interactive Design of Urban Spaces Using Geometrical and Behavioral Modeling (Vanegas et al. 2009)

    Vanegas, C. A., Aliaga, D. G., Benes, B., & Waddell, P. A. (2009). Interactive Design of Urban Spaces Using Geometrical and Behavioral Modeling. ACM SIGGRAPH Asia 2009 Papers. https://doi.org/10.1145/1661412.1618457

  • Hydraulic Erosion Using Smoothed Particle Hydrodynamics (Krištof et al. 2009)

    Krištof, P., Benes, B., Křivánek, J., & Št’ava, O. (2009). Hydraulic Erosion Using Smoothed Particle Hydrodynamics. Computer Graphics Forum, 28(2), 219–228. https://doi.org/10.1111/j.1467-8659.2009.01361.x

  • Interactive Modeling of Virtual Ecosystems (Benes et al. 2009)

    Benes, B., Andrysco, N., & Št’ava, O. (2009). Interactive Modeling of Virtual Ecosystems. Proceedings of the Fifth Eurographics Conference on Natural Phenomena, 9–16. https://doi.org/10.5555/2381692.2381694

  • Visualization of Simulated Urban Spaces: Inferring Parameterized Generation of Streets, Parcels, and Aerial Imagery (Vanegas et al. 2009)

    Vanegas, C. A., Aliaga, D. G., Benes, B., & Waddell, P. (2009). Visualization of Simulated Urban Spaces: Inferring Parameterized Generation of Streets, Parcels, and Aerial Imagery. IEEE Transactions on Visualization and Computer Graphics, 15(3), 424–435. https://doi.org/10.1109/TVCG.2008.193

2008

  • Interactive Reconfiguration of Urban Layouts (Aliaga et al. 2008)

    Aliaga, D. G., Benes, B., Vanegas, C. A., & Andrysco, N. (2008). Interactive Reconfiguration of Urban Layouts. IEEE Computer Graphics and Applications, 28(03), 38–47. https://doi.org/10.1109/MCG.2008.55

  • Real-time Data Delivery and Remote Visualization through Multi-layer Interfaces (Sundaram et al. 2008)

    Sundaram, V., Zhao, L., Song, C. X., Benes, B., Veeramacheneni, R., & Kristof, P. (2008). Real-time Data Delivery and Remote Visualization through Multi-layer Interfaces. 2008 Grid Computing Environments Workshop, 1–10. https://doi.org/10.1109/GCE.2008.4738439

  • Interactive poster: Visual analytic techniques for CO2 emissions and concentrations in the United States (Andrysco et al. 2008)

    Andrysco, N., Benes, B., & Gurney, K. (2008). Interactive poster: Visual analytic techniques for CO2 emissions and concentrations in the United States. 2008 IEEE Symposium on Visual Analytics Science and Technology, 173–174. https://doi.org/10.1109/VAST.2008.4677372

  • Interactive Terrain Modeling Using Hydraulic Erosion (Štava et al. 2008)

    Štava, O., Benes, B., Brisbin, M., & Křivánek, J. (2008). Interactive Terrain Modeling Using Hydraulic Erosion. Proceedings of the 2008 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, 201–210. https://doi.org/10.5555/1632592.1632622

  • Interactive Example-Based Urban Layout Synthesis (Aliaga et al. 2008)

    Aliaga, D. G., Vanegas, C. A., & Benes, B. (2008). Interactive Example-Based Urban Layout Synthesis. ACM SIGGRAPH Asia 2008 Papers. https://doi.org/10.1145/1457515.1409113

2007

  • An Immersive Granular Material Visualization System with Haptic Feedback (Dorjgotov et al. 2007)

    Dorjgotov, E., Benes, B., & Madhavan, K. (2007). An Immersive Granular Material Visualization System with Haptic Feedback. In I. S. Lim & D. Duce (Eds.), Theory and Practice of Computer Graphics. The Eurographics Association. https://doi.org/10.2312/LocalChapterEvents/TPCG/TPCG07/107-113

  • Occlusion-Based Snow Accumulation Simulation (Foldes et al. 2007)

    Foldes, D., & Benes, B. (2007). Occlusion-Based Snow Accumulation Simulation. In J. Dingliana & F. Ganovelli (Eds.), Workshop in Virtual Reality Interactions and Physical Simulation "VRIPHYS" (2007). The Eurographics Association. https://doi.org/10.2312/PE/vriphys/vriphys07/035-041

  • Interval-Based Motion Blending for Hand Grasping (Brisbin et al. 2007)

    Brisbin, M., & Benes, B. (2007). Interval-Based Motion Blending for Hand Grasping. In I. S. Lim & D. Duce (Eds.), Theory and Practice of Computer Graphics. The Eurographics Association. https://doi.org/10.2312/LocalChapterEvents/TPCG/TPCG07/201-205

  • Real-Time Erosion Using Shallow Water Simulation (Benes et al. 2007)

    Benes, B. (2007). Real-Time Erosion Using Shallow Water Simulation. In J. Dingliana & F. Ganovelli (Eds.), Workshop in Virtual Reality Interactions and Physical Simulation "VRIPHYS" (2007). The Eurographics Association. https://doi.org/10.2312/PE/vriphys/vriphys07/043-050

2006

  • A Compression Scheme for Volumetric Animation of Running Water (Benes et al. 2006)

    Benes, B., & Tesinsky, V. (2006). A Compression Scheme for Volumetric Animation of Running Water. In K. Wojciechowski, B. Smolka, H. Palus, R. S. Kozera, W. Skarbek, & L. Noakes (Eds.), Computer Vision and Graphics: International Conference, ICCVG 2004, Warsaw, Poland, September 2004, Proceedings (pp. 1063–1068). Springer Netherlands. https://doi.org/10.1007/1-4020-4179-9_155

  • Autonomous boids (Hartman et al. 2006)

    Hartman, C., & Benes, B. (2006). Autonomous boids. Computer Animation and Virtual Worlds, 17(3‐4), 199–206. https://doi.org/10.1002/cav.123

  • Hydraulic erosion (Benes et al. 2006)

    Benes, B., Těšínský, V., Hornyš, J., & Bhatia, S. K. (2006). Hydraulic erosion. Computer Animation and Virtual Worlds, 17(2), 99–108. https://doi.org/10.1002/cav.77

  • A Natural Interface for Sign Language Mathematics (Adamo-Villani et al. 2006)

    Adamo-Villani, N., Benes, B., Brisbin, M., & Hyland, B. (2006). A Natural Interface for Sign Language Mathematics. In G. Bebis, R. Boyle, B. Parvin, D. Koracin, P. Remagnino, A. Nefian, G. Meenakshisundaram, V. Pascucci, J. Zara, J. Molineros, H. Theisel, & T. Malzbender (Eds.), Advances in Visual Computing (pp. 70–79). Springer Berlin Heidelberg. https://doi.org/10.1007/11919476_8

  • Towards a Modular Network-Distributed Mixed-Reality Learning Space System (Rogers et al. 2006)

    Rogers, T. J., Benes, B., & Bertoline, G. (2006). Towards a Modular Network-Distributed Mixed-Reality Learning Space System. In G. Bebis, R. Boyle, B. Parvin, D. Koracin, P. Remagnino, A. Nefian, G. Meenakshisundaram, V. Pascucci, J. Zara, J. Molineros, H. Theisel, & T. Malzbender (Eds.), Advances in Visual Computing (pp. 637–646). Springer Berlin Heidelberg. https://doi.org/10.1007/11919629_64

  • Granular material interactive manipulation: Touching sand with haptic feedback (Benes et al. 2006)

    Benes, B., Dorjgotov, E., Arns, L., & Bertoline, G. (2006). Granular material interactive manipulation: Touching sand with haptic feedback. Journal of WSCG, 295–304.

  • Tensor Product Surfaces as Rewriting Process (Kolingerová et al. 2006)

    Kolingerová, I., März, P., & Benes, B. (2006). Tensor Product Surfaces as Rewriting Process. Proceedings of the 22nd Spring Conference on Computer Graphics, 107–112. https://doi.org/10.1145/2602161.2602173

  • Physically-Based Hydraulic Erosion (Benes et al. 2006)

    Benes, B. (2006). Physically-Based Hydraulic Erosion. Proceedings of the 22nd Spring Conference on Computer Graphics, 17–22. https://doi.org/10.1145/2602161.2602163

2005

  • GI-COLLIDE: Collision Detection with Geometry Images (Benes et al. 2005)

    Benes, B., & Villanueva, N. G. (2005). GI-COLLIDE: Collision Detection with Geometry Images. Proceedings of the 21st Spring Conference on Computer Graphics, 95–102. https://doi.org/10.1145/1090122.1090139

  • POLizied E-Learning Using Contract Management (Espinosa et al. 2005)

    Espinosa, E. D., Noguez, J., Benes, B., & Bueno, A. (2005). POLizied E-Learning Using Contract Management. Comput. Educ., 45(1), 75–103. https://doi.org/10.1016/j.compedu.2004.04.012

  • Robin Hood’s Algorithm for Time-Critical Level of Detail (Hernández et al. 2005)

    Hernández, E., & Benes, B. (2005). Robin Hood’s Algorithm for Time-Critical Level of Detail. Computer Graphics and Applications (Graphi Con’2005), Fifteenth International Conference.

2004

  • Virtual campeche: A Web based virtual three-dimensional tour (Zara et al. 2004)

    Zara, J., Benes, B., & Rodarte, R. R. (2004). Virtual campeche: A Web based virtual three-dimensional tour. Proceedings of the Fifth Mexican International Conference in Computer Science, 2004. ENC 2004., 133–140. https://doi.org/10.1109/ENC.2004.1342598

  • Simulating desert scenery (Benes et al. 2004)

    Benes, B., & Roa, T. (2004). Simulating desert scenery. Journal of WSCG.

  • Clustering in virtual plant ecosystems (Benes et al. 2004)

    Benes, B., & Guerrero, J. M. S. (2004). Clustering in virtual plant ecosystems. WSCG SHORT Communication Papers Proceedings.

  • Modernı́ počı́tačová grafika (Žára et al. 2004)

    Žára Jiřı́, Benes, B., Sochor Jiřı́, & Felkel, P. (2004). Modernı́ počı́tačová grafika. Computer press.

2003

  • Modeling virtual gardens by autonomous procedural agents (Benes et al. 2003)

    Benes, B., & Cordóba, J. A. (2003). Modeling virtual gardens by autonomous procedural agents. Proceedings of Theory and Practice of Computer Graphics, 2003., 58–65. https://doi.org/10.1109/TPCG.2003.1206931

  • Modeling virtual ecosystems with the proactive guidance of agents (Benes et al. 2003)

    Benes, B., & Espinosa, E. D. (2003). Modeling virtual ecosystems with the proactive guidance of agents. Computer Animation and Social Agents, 2003. 16th International Conference On, 126–131. https://doi.org/10.1109/CASA.2003.1199313

  • Interacting agents with memory in virtual ecosystems (Benes et al. 2003)

    Benes, B., Cordoba, J. A., & Soto, J. M. (2003). Interacting agents with memory in virtual ecosystems. Journal of WSCG.

2002

  • Visual simulation of hydraulic erosion (Benes et al. 2002)

    Benes, B., & Forsbach, R. (2002). Visual simulation of hydraulic erosion. Journal of WSCG.

  • Load Balancing in Parallel Implementation of Hydraulic Erosion Visual Simulations (Benes et al. 2002)

    Benes, B. (2002). Load Balancing in Parallel Implementation of Hydraulic Erosion Visual Simulations. Second IEEE International Symposium on Advanced Distributed Computing Systems.

  • Virtual Climbing Plants Competing for Space (Benes et al. 2002)

    Benes, B., & Millán, E. U. (2002). Virtual Climbing Plants Competing for Space. Computer Animation, 33. https://doi.org/10.1109/CA.2002.1017504

2001

  • Parallel Implementation of Terrain Erosion Applied to the Surface of Mars (Benes et al. 2001)

    Benes, B., & Forsbach, R. (2001). Parallel Implementation of Terrain Erosion Applied to the Surface of Mars. Proceedings of the 1st International Conference on Computer Graphics, Virtual Reality and Visualisation, 53–57. https://doi.org/10.1145/513867.513880

  • Layered data representation for visual simulation of terrain erosion (Benes et al. 2001)

    Benes, B., & Forsbach, R. (2001). Layered data representation for visual simulation of terrain erosion. Proceedings Spring Conference on Computer Graphics, 80–86. https://doi.org/10.1109/SCCG.2001.945341

  • Using particles for 3D texture sculpting (Benes et al. 2001)

    Benes, B., & Espinosa, E. (2001). Using particles for 3D texture sculpting. The Journal of Visualization and Computer Animation, 12(4), 191–201. https://doi.org/10.1002/vis.263

Pre-2001

  • Visual Model of Plant Development with Respect to Influence of Light (Benes et al. 1997)

    Benes, B. (1997). Visual Model of Plant Development with Respect to Influence of Light. In D. Thalmann & M. van de Panne (Eds.), Computer Animation and Simulation ’97 (pp. 125–136). Springer Vienna. https://doi.org/10.1007/978-3-7091-6874-5_9

  • An efficient estimation of light in simulation of plant development (Benes et al. 1996)

    Benes, B. (1996). An efficient estimation of light in simulation of plant development. In R. Boulic & G. Hégron (Eds.), Computer Animation and Simulation ’96 (pp. 153–165). Springer Vienna. https://doi.org/10.1007/978-3-7091-7486-9_11

  • Skylight approximation for simulation of plant development (Benes et al. 1998)

    Benes, B. (1998). Skylight approximation for simulation of plant development. Proceedings. 1998 IEEE Conference on Information Visualization. An International Conference on Computer Visualization and Graphics (Cat. No. 98TB100246), 146–150. https://doi.org/10.1109/IV.1998.694212

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