Publications

2024

  • 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

  • Generative building feature estimation from satellite images (He et al. 2023)

    He, L., Shan, J., & Aliaga, D. (2023). Generative building feature estimation from satellite images. IEEE Transactions on Geoscience and Remote Sensing, 61, 1–13.

  • Deep learning-based urban morphology for city-scale environmental modeling (Patel et al. 2023)

    Patel, P., Kalyanam, R., He, L., Aliaga, D., & Niyogi, D. (2023). Deep learning-based urban morphology for city-scale environmental modeling. PNAS Nexus, 2(3), pgad027.

  • GlobalMapper: Arbitrary-Shaped Urban Layout Generation (He et al. 2023)

    He, L., & Aliaga, D. (2023). GlobalMapper: Arbitrary-Shaped Urban Layout Generation. Proceedings of the IEEE/CVF International Conference on Computer Vision.

  • ObjectStitch: Object Compositing With Diffusion Model (Song et al. 2023)

    Song, Y., Zhang, Z., Lin, Z., Cohen, S., Price, B., Zhang, J., Kim, S. Y., & Aliaga, D. (2023). ObjectStitch: Object Compositing With Diffusion Model. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 18310–18319.

  • CubeGAN: Omnidirectional Image Synthesis Using Generative Adversarial Networks (May et al. 2023)

    May, C., & Aliaga, D. (2023). CubeGAN: Omnidirectional Image Synthesis Using Generative Adversarial Networks. Computer Graphics Forum, 42(2), 213–224. https://doi.org/https://doi.org/10.1111/cgf.14755

  • 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.

  • Dynamic Redirection for VR Haptics with a Handheld Stick (Zhou et al. 2023)

    Zhou, Y., & Popescu, V. (2023). Dynamic Redirection for VR Haptics with a Handheld Stick. IEEE Transactions on Visualization and Computer Graphics, 29(5), 2753–2762. https://doi.org/10.1109/TVCG.2023.3247047

  • Sketching Vocabulary for Crowd Motion (Mathew et al. 2023)

    Mathew, C. D. T., Benes, B., & Aliaga, D. G. (2023). Sketching Vocabulary for Crowd Motion. Computer Graphics Forum, 41(8), 119–130. https://doi.org/https://doi.org/10.1111/cgf.14629

  • 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

  • Preemptive Text Warping to Prevent Appearance of Motion Blur (Yu et al. 2022)

    Yu, Z., Oliveira, M. M., & Aliaga, D. G. (2022). Preemptive Text Warping to Prevent Appearance of Motion Blur. The Visual Computer, 1–13. https://doi.org/10.1007/s00371-022-02545-8

  • 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

  • Guided Pluralistic Building Contour Completion (Zhang et al. 2022)

    Zhang, X., Ma, W., Varinlioglu, G., Rauh, N., He, L., & Aliaga, D. (2022). Guided Pluralistic Building Contour Completion. The Visual Computer (TVCJ).

  • RFCNet: Enhancing urban segmentation using regularization, fusion, and completion (Zhang et al. 2022)

    Zhang, X., & Aliaga, D. (2022). RFCNet: Enhancing urban segmentation using regularization, fusion, and completion. Computer Vision and Image Understanding, 220, 103435. https://doi.org/https://doi.org/10.1016/j.cviu.2022.103435

  • Procedural Roof Generation From a Single Satellite Image (Zhang et al. 2022)

    Zhang, X., & Aliaga, D. G. (2022). Procedural Roof Generation From a Single Satellite Image. Computer Graphics Forum (Eurographics 2022), 41(2). https://doi.org/10.1111/cgf.14472

  • Modeling Large-Scale Heatwave by Incorporating Enhanced Urban Representation (Patel et al. 2022)

    Patel, P., Jamshidi, S., Nadimpalli, R., Aliaga, D. G., Mills, G., Chen, F., Demuzere, M., & Niyogi, D. (2022). Modeling Large-Scale Heatwave by Incorporating Enhanced Urban Representation. Journal of Geophysical Research (Atmospheres), 127(2), e35316. https://doi.org/10.1029/2021JD035316

  • Tapping with a Handheld Stick in VR: Redirection Detection Thresholds for Passive Haptic Feedback (Zhou et al. 2022)

    Zhou, Y., & Popescu, V. (2022). Tapping with a Handheld Stick in VR: Redirection Detection Thresholds for Passive Haptic Feedback. 2022 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 83–92. https://doi.org/10.1109/VR51125.2022.00026

  • 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

  • Impact of green roofs on heavy rainfall in tropical, coastal urban area (Patel et al. 2021)

    Patel, P., Karmakar, S., Ghosh, S., Aliaga, D. G., & Niyogi, D. (2021). Impact of green roofs on heavy rainfall in tropical, coastal urban area. Environmental Research Letters, 16(7), 074051. https://doi.org/10.1088/1748-9326/ac1011

  • Video Folding: Increased Framerate for Semi-Repetitive Sequences (May et al. 2021)

    May, C., Oliveira, M., & Aliaga, D. G. (2021). Video Folding: Increased Framerate for Semi-Repetitive Sequences. IEEE Transactions on Visualization and Computer Graphics, 27(10), 3900–3912. https://doi.org/10.1109/TVCG.2020.2992670

  • Toward a Simple Design and Manufacturing Pipeline for Additive Manufacturing (Haseltalab et al. 2021)

    Haseltalab, V., Dolen, M., Yaman, U., & Hoffmann, C. M. (2021). Toward a Simple Design and Manufacturing Pipeline for Additive Manufacturing. IEEE Access, 9, 107224–107234. https://doi.org/10.1109/ACCESS.2021.3101365

  • A Partially-Sorted Concentric Layout for Efficient Label Localization in Augmented Reality (Zhou et al. 2021)

    Zhou, Z., Wang, L., & Popescu, V. (2021). A Partially-Sorted Concentric Layout for Efficient Label Localization in Augmented Reality. IEEE Transactions on Visualization and Computer Graphics, 27(11), 4087–4096. https://doi.org/10.1109/tvcg.2021.3106492

  • AlterEcho: Loose Avatar-Streamer Coupling for Expressive VTubing (Tang et al. 2021)

    Tang, M. T., Zhu, V. L., & Popescu, V. (2021). AlterEcho: Loose Avatar-Streamer Coupling for Expressive VTubing. 2021 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 128–137. https://doi.org/10.1109/ismar52148.2021.00027

  • Quantifiable Fine-Grain Occlusion Removal Assistance for Efficient VR Exploration (Wu et al. 2021)

    Wu, J., Wang, L., Zhang, H., & Popescu, V. (2021). Quantifiable Fine-Grain Occlusion Removal Assistance for Efficient VR Exploration. IEEE Transactions on Visualization and Computer Graphics, 1–1. https://doi.org/10.1109/tvcg.2021.3053287

  • Disocclusion Headlight for Selection Assistance in VR (Wang et al. 2021)

    Wang, L., Chen, J., Ma, Q., & Popescu, V. (2021). Disocclusion Headlight for Selection Assistance in VR. 2021 IEEE Virtual Reality and 3D User Interfaces (VR), 216–225. https://doi.org/10.1109/vr50410.2021.00043

  • Robust 360° Video Streaming via Non-Linear Sampling (Palash et al. 2021)

    Palash, M., Popescu, V., Sheoran, A., & Fahmy, S. (2021). Robust 360° Video Streaming via Non-Linear Sampling. IEEE INFOCOM 2021 - IEEE Conference on Computer Communications, 1–10. https://doi.org/10.1109/infocom42981.2021.9488700

  • 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

  • Synthesis and Completion of Facades from Satellite Imagery (Zhang et al. 2020)

    Zhang, X., May, C., & Aliaga, D. G. (2020). Synthesis and Completion of Facades from Satellite Imagery. In A. Vedaldi, H. Bischof, T. Brox, & J.-M. Frahm (Eds.), Computer Vision – ECCV 2020 (pp. 573–588). Springer International Publishing.

  • The WUDAPT Approach Towards Supporting Multi-Scale Fit for Purpose Intra-Urban Atmospheric Modeling and Analyses Applications (Ching et al. 2020)

    Ching, J., Mills, G., Aliaga, D. G., Martilli, A., Fung, J., Bechtel, B., Demuzure, M., Middel, A., Neophytou, M., Ren, C., Feddema, J., Masson, V., See, L., Tapper, N., Baklanov, A., Ng, E., Yamagata, Y., Lau, K., & Niyogi, D. (2020, January). The WUDAPT Approach Towards Supporting Multi-Scale Fit for Purpose Intra-Urban Atmospheric Modeling and Analyses Applications.

  • Progressive Regularization of Satellite-Based 3D Buildings for Interactive Rendering (Zhang et al. 2020)

    Zhang, X., May, C., Nishida, G., & Aliaga, D. (2020). Progressive Regularization of Satellite-Based 3D Buildings for Interactive Rendering. Symposium on Interactive 3D Graphics and Games, 1–9. https://doi.org/10.1145/3384382.3384526

  • Design and Deployment of Photo2Building: A Cloud-based Procedural Modeling Tool as a Service (Bhatt et al. 2020)

    Bhatt, M., Kalyanam, R., Nishida, G., He, L., May, C., Niyogi, D., & Aliaga, D. (2020). Design and Deployment of Photo2Building: A Cloud-based Procedural Modeling Tool as a Service. In Practice and Experience in Advanced Research Computing (pp. 132–138). https://doi.org/10.1145/3311790.3396670

  • AR Interfaces for Mid-Air 6-DoF Alignment: Ergonomics-Aware Design and Evaluation (Andersen et al. 2020)

    Andersen, D., & Popescu, V. (2020). AR Interfaces for Mid-Air 6-DoF Alignment: Ergonomics-Aware Design and Evaluation. 2020 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 289–300. https://doi.org/10.1109/ISMAR50242.2020.00055

  • View Splicing for Effective VR Collaboration (Wang et al. 2020)

    Wang, L., Wu, W., Zhou, Z., & Popescu, V. (2020). View Splicing for Effective VR Collaboration. 2020 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 509–519. https://doi.org/10.1109/ISMAR50242.2020.00079

  • How about the mentor? Effective Workspace Visualization in AR Telementoring (Lin et al. 2020)

    Lin, C., Rojas-Muñoz, E., Cabrera, M. E., Sanchez-Tamayo, N., Andersen, D., Popescu, V., Noguera, J. A. B., Zarzaur, B., Murphy, P., Anderson, K., & others. (2020). How about the mentor? Effective Workspace Visualization in AR Telementoring. 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 212–220. https://doi.org/10.1109/VR46266.2020.00040

  • Feature Guided Path Redirection for VR Navigation (Cao et al. 2020)

    Cao, A., Wang, L., Liu, Y., & Popescu, V. (2020). Feature Guided Path Redirection for VR Navigation. 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 137–145. https://doi.org/10.1109/VR46266.2020.00032

  • Evaluation of an augmented reality platform for austere surgical telementoring: a randomized controlled crossover study in cricothyroidotomies (Rojas-Muñoz et al. 2020)

    Rojas-Muñoz, E., Lin, C., Sanchez-Tamayo, N., Cabrera, M. E., Andersen, D., Popescu, V., Barragan, J. A., Zarzaur, B., Murphy, P., Anderson, K., & others. (2020). Evaluation of an augmented reality platform for austere surgical telementoring: a randomized controlled crossover study in cricothyroidotomies. NPJ Digital Medicine, 3(1), 1–9. https://doi.org/10.1038/s41746-020-0284-9

  • The System for Telementoring with Augmented Reality (STAR): A head-mounted display to improve surgical coaching and confidence in remote areas (Rojas-Muñoz et al. 2020)

    Rojas-Muñoz, E., Cabrera, M. E., Lin, C., Andersen, D., Popescu, V., Anderson, K., Zarzaur, B. L., Mullis, B., & Wachs, J. P. (2020). The System for Telementoring with Augmented Reality (STAR): A head-mounted display to improve surgical coaching and confidence in remote areas. Surgery. https://doi.org/10.1016/j.surg.2019.11.008

  • Telementoring in Leg Fasciotomies via Mixed-Reality: Clinical Evaluation of the STAR Platform (Rojas-Muñoz et al. 2020)

    Rojas-Muñoz, E., Cabrera, M. E., Lin, C., Sánchez-Tamayo, N., Andersen, D., Popescu, V., Anderson, K., Zarzaur, B., Mullis, B., & Wachs, J. P. (2020). Telementoring in Leg Fasciotomies via Mixed-Reality: Clinical Evaluation of the STAR Platform. Military Medicine, 185(Supplement_1), 513–520. https://doi.org/10.1093/milmed/usz234

  • Constructing the arrangement of algebraic surfaces in a bounding box (Masterjohn et al. 2020)

    Masterjohn, J., Milenkovic, V., & Sacks, E. (2020). Constructing the arrangement of algebraic surfaces in a bounding box. In Symposium on Solid and Physical Modeling Posters Proceedings (pp. 10–13).

  • A computer vision approach for classifying isometric grip force exertion levels (Asadi et al. 2020)

    Asadi, H., Zhou, G., Lee, J. J., Aggarwal, V., & Yu, D. (2020). A computer vision approach for classifying isometric grip force exertion levels. Ergonomics, 63(8), 1010–1026. https://doi.org/10.1080/00140139.2020.1745898

  • Smartphone-based lateral flow imaging system for detection of food-borne bacteria E. coli O157: H7 (Jung et al. 2020)

    Jung, Y., Heo, Y., Lee, J. J., Deering, A., & Bae, E. (2020). Smartphone-based lateral flow imaging system for detection of food-borne bacteria E. coli O157: H7. Journal of Microbiological Methods, 168, 105800. https://doi.org/10.1016/j.mimet.2019.105800

  • 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

  • Semi-Procedural Textures Using Point Process Texture Basis Functions (Guehl et al. 2020)

    Guehl, P., Allegre, R., Dischler, J.-M., Benes, B., & Galin, E. (2020). Semi-Procedural Textures Using Point Process Texture Basis Functions. Computer Graphics Forum, 39(4), 159–171. https://doi.org/10.1111/cgf.14061

    Honorable mention from the Best Papers Committee

  • 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 generalized framework for designing topological interlocking configurations (Bejarano et al. 2019)

    Bejarano, A., & Hoffmann, C. (2019). A generalized framework for designing topological interlocking configurations. International Journal of Architectural Computing, 17(1), 53–73. https://doi.org/10.1177/1478077119827187

  • Urban Walkability Design Using Virtual Population Simulation (Mathew et al. 2019)

    Mathew, C. D. T., Knob, P. R., Musse, S. R., & Aliaga, D. G. (2019). Urban Walkability Design Using Virtual Population Simulation. Computer Graphics Forum, 38(1), 455–469. https://doi.org/10.1111/cgf.13585

  • Robust High-Level Video Stabilization for Effective AR Telementoring (Lin et al. 2019)

    Lin, C., Rojas-Muñoz, E., Cabrera, M. E., Sanchez-Tamayo, N., Andersen, D., Popescu, V., Noguera, J. A. B., Zarzaur, B., Murphy, P., Anderson, K., Douglas, T., Griffis, C., & Wachs, J. (2019). Robust High-Level Video Stabilization for Effective AR Telementoring. 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 1038–1039. https://doi.org/10.1109/VR.2019.8798331

  • Multi-Pose Interactive Linkage Design (Nishida et al. 2019)

    Nishida, G., Bousseau, A., & Aliaga, D. G. (2019). Multi-Pose Interactive Linkage Design. Computer Graphics Forum, 38(2), 277–289. https://doi.org/10.1111/cgf.13637

  • Investigating the Impact of Urban Layout Geometry on Urban Flooding (Mustafa et al. 2019)

    Mustafa, A. M. E. S., Zhang, X. W., Aliaga, D. G., Bruwier, M., Dewals, B., & Teller, J. (2019). Investigating the Impact of Urban Layout Geometry on Urban Flooding. Proceedings of GEOProcessing 2019, 23–25.

  • Pathway using WUDAPT’s Digital Synthetic City tool towards generating urban canopy parameters for multi-scale urban atmospheric modeling (Ching et al. 2019)

    Ching, J., Aliaga, D., Mills, G., Masson, V., See, L., Neophytou, M., Middel, A., Baklanov, A., Ren, C., Ng, E., & others. (2019). Pathway using WUDAPT’s Digital Synthetic City tool towards generating urban canopy parameters for multi-scale urban atmospheric modeling. Urban Climate, 28, 100459. https://doi.org/10.1016/j.uclim.2019.100459

  • Generation of patterned indentations for additive manufacturing technologies (Yaman et al. 2019)

    Yaman, U., Dolen, M., & Hoffmann, C. M. (2019). Generation of patterned indentations for additive manufacturing technologies. IISE Transactions, 51(2), 209–217. https://doi.org/10.1080/24725854.2018.1491076

  • An approximation of geodesic circle passing through three points on an ellipsoid (Ahn et al. 2019)

    Ahn, Y. J., & Hoffmann, C. (2019). An approximation of geodesic circle passing through three points on an ellipsoid. Journal of Applied Geodesy, 13(4), 329–333. https://doi.org/10.1515/jag-2019-0018

  • Automatic Deictic Gestures for Animated Pedagogical Agents (Kappagantula et al. 2019)

    Kappagantula, S. R. K., Adamo-Villani, N., Wu, M.-L., & Popescu, V. (2019). Automatic Deictic Gestures for Animated Pedagogical Agents. IEEE Transactions on Learning Technologies, 13(1), 1–13. https://doi.org/10.1109/TLT.2019.2922134

  • AR HMD Guidance for Controlled Hand-Held 3D Acquisition (Andersen et al. 2019)

    Andersen, D., Villano, P., & Popescu, V. (2019). AR HMD Guidance for Controlled Hand-Held 3D Acquisition. IEEE Transactions on Visualization and Computer Graphics, 25(11), 3073–3082. https://doi.org/10.1109/TVCG.2019.2932172

  • Vr exploration assistance through automatic occlusion removal (Wang et al. 2019)

    Wang, L., Wu, J., Yang, X., & Popescu, V. (2019). Vr exploration assistance through automatic occlusion removal. IEEE Transactions on Visualization and Computer Graphics, 25(5), 2083–2092. https://doi.org/10.1109/TVCG.2019.2898782

  • RGBD temporal resampling for real-time occlusion removal (Wu et al. 2019)

    Wu, M.-L., & Popescu, V. (2019). RGBD temporal resampling for real-time occlusion removal. Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, 1–9. https://doi.org/10.1145/3306131.3317025

  • Occlusion management in vr: A comparative study (Wang et al. 2019)

    Wang, L., Zhao, H., Wang, Z., Wu, J., Li, B., He, Z., & Popescu, V. (2019). Occlusion management in vr: A comparative study. 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 708–716. https://doi.org/10.1109/VR.2019.8798025

  • Subpixel Catadioptric Modeling of High Resolution Corneal Reflections. (Lin et al. 2019)

    Lin, C., & Popescu, V. (2019). Subpixel Catadioptric Modeling of High Resolution Corneal Reflections. VISIGRAPP (5: VISAPP), 673–683. https://doi.org/10.5220/0007308506730683

  • Surgical telementoring without encumbrance: a comparative study of see-through augmented reality-based approaches (Rojas-Muñoz et al. 2019)

    Rojas-Muñoz, E., Cabrera, M. E., Andersen, D., Popescu, V., Marley, S., Mullis, B., Zarzaur, B., & Wachs, J. (2019). Surgical telementoring without encumbrance: a comparative study of see-through augmented reality-based approaches. Annals of Surgery, 270(2), 384–389. https://doi.org/10.1097/SLA.0000000000002764

  • Geometric rounding and feature separation in meshes (Milenkovic et al. 2019)

    Milenkovic, V., & Sacks, E. (2019). Geometric rounding and feature separation in meshes. Computer-Aided Design, 108, 12–18. https://doi.org/10.1016/j.cad.2018.10.003

  • Fast Detection of Degenerate Predicates in Free Space Construction (Milenkovic et al. 2019)

    Milenkovic, V., Sacks, E., & Butt, N. (2019). Fast Detection of Degenerate Predicates in Free Space Construction. International Journal of Computational Geometry & Applications, 29(03), 219–237. https://doi.org/10.1142/S0218195919500067

  • Procedural Riverscapes (Peytavie et al. 2019)

    Peytavie, A., Dupont, T., Guérin, E., Cortial, Y., Benes, B., Gain, J., & Galin, E. (2019). Procedural Riverscapes. Computer Graphics Forum, 38(7), 35–46. https://doi.org/10.1111/cgf.13814

  • 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

  • Topological Interlocking Cylinder Configurations: A Geometric Approach (Bejarano et al. 2018)

    Bejarano, A., & Hoffmann, C. (2018). Topological Interlocking Cylinder Configurations: A Geometric Approach.

  • Influence of urban pattern on inundation flow in floodplains of lowland rivers (Bruwier et al. 2018)

    Bruwier, M., Mustafa, A., Aliaga, D. G., Archambeau, P., Erpicum, S., Nishida, G., Zhang, X., Pirotton, M., Teller, J., & Dewals, B. (2018). Influence of urban pattern on inundation flow in floodplains of lowland rivers. Science of the Total Environment, 622, 446–458. https://doi.org/10.1016/j.scitotenv.2017.11.325

  • WUDAPT: An urban weather, climate, and environmental modeling infrastructure for the anthropocene (Ching et al. 2018)

    Ching, J., Mills, G., Bechtel, B., See, L., Feddema, J., Wang, X., Ren, C., Brousse, O., Martilli, A., Neophytou, M., & others. (2018). WUDAPT: An urban weather, climate, and environmental modeling infrastructure for the anthropocene. Bulletin of the American Meteorological Society, 99(9), 1907–1924. https://doi.org/10.1175/BAMS-D-16-0236.1

  • Guided proceduralization: Optimizing geometry processing and grammar extraction for architectural models (Demir et al. 2018)

    Demir, I., & Aliaga, D. G. (2018). Guided proceduralization: Optimizing geometry processing and grammar extraction for architectural models. Computers & Graphics, 74, 257–267. https://doi.org/10.1016/j.cag.2018.05.013

  • Procedural generation of flood-sensitive urban layouts (Mustafa et al. 2018)

    Mustafa, A., Wei Zhang, X., Aliaga, D. G., Bruwier, M., Nishida, G., Dewals, B., Erpicum, S., Archambeau, P., Pirotton, M., & Teller, J. (2018). Procedural generation of flood-sensitive urban layouts. Environment and Planning B: Urban Analytics and City Science, 2399808318812458. https://doi.org/10.1177/2399808318812458

  • Procedural modeling of a building from a single image (Nishida et al. 2018)

    Nishida, G., Bousseau, A., & Aliaga, D. G. (2018). Procedural modeling of a building from a single image. Computer Graphics Forum, 37(2), 415–429. https://doi.org/10.1111/cgf.13372

  • WUDAPT’S NEXT GENERATION OF URBAN CANOPY PARAMETERS FOR ADVANCED MULTI-SCALE WEATHER, CLIMATE AND AIR QUALITY MODELS (Ching et al. 2018)

    Ching, J., Aliaga, D., Masson, G. M. V., & Hanna, A. (2018). WUDAPT’S NEXT GENERATION OF URBAN CANOPY PARAMETERS FOR ADVANCED MULTI-SCALE WEATHER, CLIMATE AND AIR QUALITY MODELS.

  • Architecture for modular microsimulation of real estate markets and transportation (Waddell et al. 2018)

    Waddell, P., Garcia-Dorado, I., Maurer, S. M., Boeing, G., Gardner, M., Porter, E., & Aliaga, D. (2018). Architecture for modular microsimulation of real estate markets and transportation. ArXiv Preprint ArXiv:1807.01148.

  • Sequence of Gn LN polynomial curves approximating circular arcs (Ahn et al. 2018)

    Ahn, Y. J., & Hoffmann, C. (2018). Sequence of Gn LN polynomial curves approximating circular arcs. Journal of Computational and Applied Mathematics, 341, 117–126. https://doi.org/10.1016/j.cam.2018.03.028

  • Fast ray-scene intersection for interactive shadow rendering with thousands of dynamic lights (Wang et al. 2018)

    Wang, L., Liang, X., Meng, C., & Popescu, V. (2018). Fast ray-scene intersection for interactive shadow rendering with thousands of dynamic lights. IEEE Transactions on Visualization and Computer Graphics, 25(6), 2242–2254. https://doi.org/10.1109/TVCG.2018.2828422

  • An AR-guided system for fast image-based modeling of indoor scenes (Andersen et al. 2018)

    Andersen, D., & Popescu, V. (2018). An AR-guided system for fast image-based modeling of indoor scenes. 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 501–502. https://doi.org/10.1109/VR.2018.8446560

  • Intermediate shadow maps for interactive many-light rendering (Wang et al. 2018)

    Wang, L., Zhang, W., Li, N., Zhang, B., & Popescu, V. (2018). Intermediate shadow maps for interactive many-light rendering. The Visual Computer, 34(10), 1415–1426. https://doi.org/10.1007/s00371-017-1449-7

  • Anchored multiperspective visualization for efficient vr navigation (Wu et al. 2018)

    Wu, M.-L., & Popescu, V. (2018). Anchored multiperspective visualization for efficient vr navigation. International Conference on Virtual Reality and Augmented Reality, 240–259. https://doi.org/10.1007/978-3-030-01790-3_15

  • HMD-guided image-based modeling and rendering of indoor scenes (Andersen et al. 2018)

    Andersen, D., & Popescu, V. (2018). HMD-guided image-based modeling and rendering of indoor scenes. International Conference on Virtual Reality and Augmented Reality, 73–93. https://doi.org/10.1007/978-3-030-01790-3_5

  • A first-person mentee second-person mentor AR interface for surgical telementoring (Lin et al. 2018)

    Lin, C., Andersen, D., Popescu, V., Rojas-Munoz, E., Cabrera, M. E., Mullis, B., Zarzaur, B., Anderson, K., Marley, S., & Wachs, J. (2018). A first-person mentee second-person mentor AR interface for surgical telementoring. 2018 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 3–8. https://doi.org/10.1109/ISMAR-Adjunct.2018.00021

  • Effective free field of view scene exploration in vr and ar (Wang et al. 2018)

    Wang, L., Cao, A., Li, Z., Yang, X., & Popescu, V. (2018). Effective free field of view scene exploration in vr and ar. 2018 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 97–102. https://doi.org/10.1109/ISMAR-Adjunct.2018.00043

  • Augmented visual instruction for surgical practice and training (Andersen et al. 2018)

    Andersen, D., Lin, C., Popescu, V., Munoz, E. R., Cabrera, M. E., Mullis, B., Zarzaur, B., Marley, S., & Wachs, J. (2018). Augmented visual instruction for surgical practice and training. 2018 IEEE Workshop on Augmented and Virtual Realities for Good (VAR4Good), 1–5. https://doi.org/10.1109/VAR4GOOD.2018.8576884

  • Table Based Detection of Degenerate Predicates in Free Space Construction (Milenkovic et al. 2018)

    Milenkovic, V., Sacks, E., & Butt, N. (2018). Table Based Detection of Degenerate Predicates in Free Space Construction. 34th International Symposium on Computational Geometry (SoCG 2018), 99, 61:1–61:14. https://doi.org/10.4230/LIPIcs.SoCG.2018.61

  • Approximate Free Space Construction and Maximum Clearance Path Planning for a Four Degree of Freedom Robot (Arluck et al. 2018)

    Arluck, C., Milenkovic, V., & Sacks, E. (2018). Approximate Free Space Construction and Maximum Clearance Path Planning for a Four Degree of Freedom Robot. In S. Durocher & S. Kamali (Eds.), Proceedings of the 30th Canadian Conference on Computational Geometry, CCCG 2018, August 8-10, 2018, University of Manitoba, Winnipeg, Manitoba, Canada (pp. 223–229).

  • Finding Intersections of Algebraic curves in a Convex Region using Encasement (Masterjohn et al. 2018)

    Masterjohn, J., Milenkovic, V., & Sacks, E. (2018). Finding Intersections of Algebraic curves in a Convex Region using Encasement. In S. Durocher & S. Kamali (Eds.), Proceedings of the 30th Canadian Conference on Computational Geometry, CCCG 2018, August 8-10, 2018, University of Manitoba, Winnipeg, Manitoba, Canada (pp. 91–97).

  • 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

  • Visuo-haptic Simulations to Improve Students’ Understanding of Friction Concepts (Neri et al. 2018)

    Neri, L., Magana, A. J., Noguez, J., Yoselin, W., Alejandro, G.-N., Victor, R.-R., & Bedrich, B. (2018). Visuo-haptic Simulations to Improve Students’ Understanding of Friction Concepts. 2018 IEEE Frontiers in Education Conference (FIE), 1–6. https://doi.org/10.1109/FIE.2018.8658439

  • 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

  • Influence of urban patterns on flooding (Bruwier et al. 2017)

    Bruwier, M., Mustafa, A., Aliaga, D., Erpicum, S., Archambeau, P., Nishida, G., Zhang, X., Pirotton, M., Teller, J., & Dewals, B. (2017). Influence of urban patterns on flooding. Proceedings of the 37th IAHR World Congress, 2039–2047.

  • Fast weather simulation for inverse procedural design of 3d urban models (Garcia-Dorado et al. 2017)

    Garcia-Dorado, I., Aliaga, D. G., Bhalachandran, S., Schmid, P., & Niyogi, D. (2017). Fast weather simulation for inverse procedural design of 3d urban models. ACM Transactions on Graphics (TOG), 36(2), 1–19. https://doi.org/10.1145/2999534

  • Efficient VR and AR navigation through multiperspective occlusion management (Wu et al. 2017)

    Wu, M.-L., & Popescu, V. (2017). Efficient VR and AR navigation through multiperspective occlusion management. IEEE Transactions on Visualization and Computer Graphics, 24(12), 3069–3080. https://doi.org/10.1109/TVCG.2017.2778249

  • Hand gesture and mathematics learning: lessons from an Avatar (Cook et al. 2017)

    Cook, S. W., Friedman, H. S., Duggan, K. A., Cui, J., & Popescu, V. (2017). Hand gesture and mathematics learning: lessons from an Avatar. Cognitive Science, 41(2), 518–535. https://doi.org/10.1111/cogs.12344

  • Motionreader: visual acceleration cues for alleviating passenger e-reader motion sickness (Hanau et al. 2017)

    Hanau, E., & Popescu, V. (2017). Motionreader: visual acceleration cues for alleviating passenger e-reader motion sickness. Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Adjunct, 72–76. https://doi.org/10.1145/3131726.3131741

  • Animation stimuli system for research on instructor gestures in education (Cui et al. 2017)

    Cui, J., Popescu, V., Adamo-Villani, N., Cook, S. W., Duggan, K. A., & Friedman, H. S. (2017). Animation stimuli system for research on instructor gestures in education. IEEE Computer Graphics and Applications, 37(4), 72–83. https://doi.org/10.1109/MCG.2017.3271471

  • An augmented reality-based approach for surgical telementoring in austere environments (Andersen et al. 2017)

    Andersen, D., Popescu, V., Cabrera, M. E., Shanghavi, A., Mullis, B., Marley, S., Gomez, G., & Wachs, J. P. (2017). An augmented reality-based approach for surgical telementoring in austere environments. Military Medicine, 182(suppl_1), 310–315. https://doi.org/10.7205/MILMED-D-16-00051

  • Non-redundant rendering for efficient multi-view scene discretization (Xie et al. 2017)

    Xie, N., Wang, L., & Popescu, V. (2017). Non-redundant rendering for efficient multi-view scene discretization. The Visual Computer, 33(12), 1555–1569. https://doi.org/10.1007/s00371-016-1300-6

  • Robust free space construction for a polyhedron with planar motion (Sacks et al. 2017)

    Sacks, E., Butt, N., & Milenkovic, V. (2017). Robust free space construction for a polyhedron with planar motion. Computer-Aided Design, 90C, 18–26. https://doi.org/10.1016/j.cad.2017.05.017

  • 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

  • Motion Style Retargeting to Characters With Different Morphologies (Abdul-Massih et al. 2017)

    Abdul-Massih, M., Yoo, I., & Benes, B. (2017). Motion Style Retargeting to Characters With Different Morphologies. Computer Graphics Forum, 36(6), 86–99. https://doi.org/10.1111/cgf.12860

  • 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

  • Contrasting impacts of urban forms on the future thermal environment: example of Beijing metropolitan area (Yang et al. 2016)

    Yang, L., Niyogi, D., Tewari, M., Aliaga, D., Chen, F., Tian, F., & Ni, G. (2016). Contrasting impacts of urban forms on the future thermal environment: example of Beijing metropolitan area. Environmental Research Letters, 11(3), 034018. https://doi.org/10.1088/1748-9326/11/3/034018

  • Example-driven procedural urban roads (Nishida et al. 2016)

    Nishida, G., Garcia-Dorado, I., & Aliaga, D. G. (2016). Example-driven procedural urban roads. Computer Graphics Forum, 35(6), 5–17. https://doi.org/10.1111/cgf.12728

  • Tree-decomposable and underconstrained geometric constraint problems (Fudos et al. 2016)

    Fudos, I., Hoffmann, C. M., Joan Arinyo, R., & others. (2016). Tree-decomposable and underconstrained geometric constraint problems.

  • Slice coherence in a query-based architecture for 3D heterogeneous printing (Yaman et al. 2016)

    Yaman, U., Butt, N., Sacks, E., & Hoffmann, C. (2016). Slice coherence in a query-based architecture for 3D heterogeneous printing. Computer-Aided Design, 75, 27–38. https://doi.org/10.1016/j.cad.2016.02.005

  • Medical telementoring using an augmented reality transparent display (Andersen et al. 2016)

    Andersen, D., Popescu, V., Cabrera, M. E., Shanghavi, A., Gomez, G., Marley, S., Mullis, B., & Wachs, J. P. (2016). Medical telementoring using an augmented reality transparent display. Surgery, 159(6), 1646–1653. https://doi.org/10.1016/j.surg.2015.12.016

  • Virtual annotations of the surgical field through an augmented reality transparent display (Andersen et al. 2016)

    Andersen, D., Popescu, V., Cabrera, M. E., Shanghavi, A., Gomez, G., Marley, S., Mullis, B., & Wachs, J. (2016). Virtual annotations of the surgical field through an augmented reality transparent display. The Visual Computer, 32(11), 1481–1498. https://doi.org/10.1007/s00371-015-1135-6

  • A hand-held, self-contained simulated transparent display (Andersen et al. 2016)

    Andersen, D., Popescu, V., Lin, C., Cabrera, M. E., Shanghavi, A., & Wachs, J. (2016). A hand-held, self-contained simulated transparent display. 2016 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct), 96–101. https://doi.org/10.1109/ISMAR-Adjunct.2016.0049

  • 4D-rasterization for Fast Soft Shadow Rendering. (Wang et al. 2016)

    Wang, L., Zhao, Q., Meng, C., & Popescu, V. (2016). 4D-rasterization for Fast Soft Shadow Rendering. EGSR (EI&I), 13–21. https://doi.org/10.2312/sre.20161205

  • Avoiding Focus Shifts in Surgical Telementoring Using an Augmented Reality Transparent Display. (Andersen et al. 2016)

    Andersen, D., Popescu, V., Cabrera, M. E., Shanghavi, A., Gómez, G., Marley, S., Mullis, B., & Wachs, J. P. (2016). Avoiding Focus Shifts in Surgical Telementoring Using an Augmented Reality Transparent Display. MMVR, 22, 9–14. https://doi.org/10.3233/978-1-61499-625-5-9

  • 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