Wilds: A benchmark of in-the-wild distribution shifts PW Koh, S Sagawa, H Marklund, SM Xie, M Zhang, A Balsubramani, ... International conference on machine learning, 5637-5664, 2021 | 1467 | 2021 |
Deep plant phenomics: a deep learning platform for complex plant phenotyping tasks JR Ubbens, I Stavness Frontiers in plant science 8, 1190, 2017 | 344 | 2017 |
The use of plant models in deep learning: an application to leaf counting in rosette plants J Ubbens, M Cieslak, P Prusinkiewicz, I Stavness Plant methods 14, 1-10, 2018 | 283 | 2018 |
ArtiSynth: A fast interactive biomechanical modeling toolkit combining multibody and finite element simulation JE Lloyd, I Stavness, S Fels Soft tissue biomechanical modeling for computer assisted surgery, 355-394, 2012 | 241 | 2012 |
Global wheat head detection (GWHD) dataset: A large and diverse dataset of high-resolution RGB-labelled images to develop and benchmark wheat head detection methods E David, S Madec, P Sadeghi-Tehran, H Aasen, B Zheng, S Liu, ... Plant Phenomics, 2020 | 240 | 2020 |
Leaf counting with deep convolutional and deconvolutional networks S Aich, I Stavness Proceedings of the IEEE international conference on computer vision …, 2017 | 210 | 2017 |
Articulatory phonetics B Gick, M Schellenberg, I Stavness, RC Taylor The Routledge Handbook of Phonetics, 107-125, 2019 | 196 | 2019 |
A dynamic model of jaw and hyoid biomechanics during chewing AG Hannam, I Stavness, JE Lloyd, S Fels Journal of Biomechanics 41 (5), 1069-1076, 2008 | 154 | 2008 |
Automatic prediction of tongue muscle activations using a finite element model I Stavness, JE Lloyd, S Fels Journal of biomechanics 45 (16), 2841-2848, 2012 | 151 | 2012 |
Extending the wilds benchmark for unsupervised adaptation S Sagawa, PW Koh, T Lee, I Gao, SM Xie, K Shen, A Kumar, W Hu, ... arXiv preprint arXiv:2112.05090, 2021 | 128 | 2021 |
Coupled hard–soft tissue simulation with contact and constraints applied to jaw–tongue–hyoid dynamics I Stavness, JE Lloyd, Y Payan, S Fels International Journal for Numerical Methods in Biomedical Engineering 27 (3 …, 2011 | 115 | 2011 |
Global wheat head detection 2021: An improved dataset for benchmarking wheat head detection methods E David, M Serouart, D Smith, S Madec, K Velumani, S Liu, X Wang, ... Plant Phenomics, 2021 | 102 | 2021 |
Quantifying and mitigating the negative effects of local latencies on aiming in 3d shooter games Z Ivkovic, I Stavness, C Gutwin, S Sutcliffe Proceedings of the 33rd annual acm conference on human factors in computing …, 2015 | 102 | 2015 |
Speaking tongues are actively braced B Gick, B Allen, F Roewer-Després, I Stavness Journal of Speech, Language, and Hearing Research 60 (3), 494-506, 2017 | 101 | 2017 |
Improving player balancing in racing games JE Cechanowicz, C Gutwin, S Bateman, R Mandryk, I Stavness Proceedings of the first ACM SIGCHI annual symposium on Computer-human …, 2014 | 101 | 2014 |
pCubee: a perspective-corrected handheld cubic display I Stavness, B Lam, S Fels Proceedings of the SIGCHI Conference on Human Factors in Computing Systems …, 2010 | 97 | 2010 |
A dynamic jaw model with a finite-element temporomandibular joint B Sagl, M Schmid-Schwap, E Piehslinger, M Kundi, I Stavness Frontiers in Physiology 10, 1156, 2019 | 77 | 2019 |
Deepwheat: Estimating phenotypic traits from crop images with deep learning S Aich, A Josuttes, I Ovsyannikov, K Strueby, I Ahmed, HS Duddu, ... 2018 IEEE Winter conference on applications of computer vision (WACV), 323-332, 2018 | 77 | 2018 |
Crop lodging prediction from UAV-acquired images of wheat and canola using a DCNN augmented with handcrafted texture features S Mardanisamani, F Maleki, S Hosseinzadeh Kassani, S Rajapaksa, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 65 | 2019 |
Biomechanical modeling of English/r/variants I Stavness, B Gick, D Derrick, S Fels The Journal of the Acoustical Society of America 131 (5), EL355-EL360, 2012 | 64 | 2012 |