Emotionet: An accurate, real-time algorithm for the automatic annotation of a million facial expressions in the wild C Fabian Benitez-Quiroz, R Srinivasan, AM Martinez Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 723 | 2016 |
Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypes JA Diao, JK Wang, WF Chui, V Mountain, SC Gullapally, R Srinivasan, ... Nature communications 12 (1), 1613, 2021 | 198 | 2021 |
Facial color is an efficient mechanism to visually transmit emotion CF Benitez-Quiroz, R Srinivasan, AM Martinez Proceedings of the National Academy of Sciences 115 (14), 3581-3586, 2018 | 120 | 2018 |
Emotionet challenge: Recognition of facial expressions of emotion in the wild CF Benitez-Quiroz, R Srinivasan, Q Feng, Y Wang, AM Martinez arXiv preprint arXiv:1703.01210, 2017 | 113 | 2017 |
A neural basis of facial action recognition in humans R Srinivasan, JD Golomb, AM Martinez Journal of Neuroscience 36 (16), 4434-4442, 2016 | 90 | 2016 |
Cross-cultural and cultural-specific production and perception of facial expressions of emotion in the wild R Srinivasan, AM Martinez IEEE Transactions on Affective Computing 12 (3), 707-721, 2018 | 82 | 2018 |
Discriminant functional learning of color features for the recognition of facial action units and their intensities CF Benitez-Quiroz, R Srinivasan, AM Martinez IEEE transactions on pattern analysis and machine intelligence 41 (12), 2835 …, 2018 | 29 | 2018 |
Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypes. HIF2GENE Version 1.0. 0 JA Diao, JK Wang, W Chui, V Mountain, SC Gullapally, R Srinivasan, ... | 5 | 2021 |
Abdominal imaging associates body composition with COVID-19 severity N Basty, EP Sorokin, M Thanaj, R Srinivasan, B Whitcher, JD Bell, M Cule, ... PloS one 18 (4), e0283506, 2023 | 4 | 2023 |
Acquisition of STEM images by adaptive compressive sensing W Xie, Q Feng, R Srinivasan, A Stevens, ND Browning Microscopy and Microanalysis 23 (S1), 96-97, 2017 | 4 | 2017 |
Precision MRI phenotyping of muscle volume and quality at a population scale M Thanaj, N Basty, B Whitcher, EP Sorokin, Y Liu, R Srinivasan, M Cule, ... Frontiers in Physiology 15, 1288657, 2024 | 3 | 2024 |
Kidney shape statistical analysis: associations with disease and anthropometric factors M Thanaj, N Basty, M Cule, EP Sorokin, B Whitcher, R Srinivasan, ... BMC nephrology 24 (1), 362, 2023 | 3 | 2023 |
Machine learning-based identification of predictive features of the tumor micro-environment and vasculature in NSCLC patients using the IMpower150 study. A Taylor-Weiner, A Beck, JD Cowan, H Elliott, J Fridlyand, B Glass, ... Journal of Clinical Oncology 38 (15_suppl), 3130-3130, 2020 | 2 | 2020 |
Facial Color Is an Efficient Mechanism to Visually Transmit Emotion A Martinez, C Benitez-Quiroz, R Srinivasan Journal of Vision 18 (10), 192-192, 2018 | 2 | 2018 |
Systems and methods for frame-based validation HV Pokkalla, HL Elliott, D Wang, BP Glass, IN Wapinski, JK Kerner, ... US Patent 11,527,319, 2022 | 1 | 2022 |
Cross-cultural and cultural-specific visual perception of facial expressions of emotion in the wild R Srinivasan, A Martinez Journal of Vision 18 (10), 1106-1106, 2018 | 1 | 2018 |
Emotionet challenge: recognition of facial expressions of emotion in the wild C Fabian Benitez-Quiroz, R Srinivasan, Q Feng, Y Wang, AM Martinez arXiv e-prints, arXiv: 1703.01210, 2017 | 1 | 2017 |
Supplementary Materials EmotioNet: An accurate, real-time algorithm for the automatic annotation of a million facial expressions in the wild CF Benitez-Quiroz, R Srinivasan, AM Martinez URL https://openaccess. thecvf. com/content_cvpr_2016/supplemental/Benitez …, 0 | 1 | |
Systems and methods for frame-based validation HV Pokkalla, HL Elliott, D Wang, BP Glass, IN Wapinski, JK Kerner, ... US Patent App. 18/355,876, 2024 | | 2024 |
Systems and methods for frame-based validation HV Pokkalla, HL Elliott, D Wang, BP Glass, IN Wapinski, JK Kerner, ... US Patent 11,915,823, 2024 | | 2024 |