| Argoverse: 3d tracking and forecasting with rich maps MF Chang, J Lambert, P Sangkloy, J Singh, S Bak, A Hartnett, D Wang, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1445 | 2019 |
| Learning background-aware correlation filters for visual tracking H Kiani Galoogahi, A Fagg, S Lucey Proceedings of the IEEE international conference on computer vision, 1135-1143, 2017 | 1354 | 2017 |
| Deformable model fitting by regularized landmark mean-shift JM Saragih, S Lucey, JF Cohn International journal of computer vision 91, 200-215, 2011 | 1164 | 2011 |
| Pointnetlk: Robust & efficient point cloud registration using pointnet Y Aoki, H Goforth, RA Srivatsan, S Lucey Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 884 | 2019 |
| Learning depth from monocular videos using direct methods C Wang, JM Buenaposada, R Zhu, S Lucey Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 706 | 2018 |
| Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark A Dhall, R Goecke, S Lucey, T Gedeon 2011 IEEE international conference on computer vision workshops (ICCV …, 2011 | 706 | 2011 |
| Collecting large, richly annotated facial-expression databases from movies A Dhall, R Goecke, S Lucey, T Gedeon IEEE multimedia 19 (3), 34, 2012 | 690 | 2012 |
| Barf: Bundle-adjusting neural radiance fields CH Lin, WC Ma, A Torralba, S Lucey Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 640 | 2021 |
| The painful face: Pain expression recognition using active appearance models AB Ashraf, S Lucey, JF Cohn, T Chen, Z Ambadar, K Prkachin, P Solomon, ... Proceedings of the 9th international conference on Multimodal interfaces, 9-14, 2007 | 563 | 2007 |
| Need for speed: A benchmark for higher frame rate object tracking H Kiani Galoogahi, A Fagg, C Huang, D Ramanan, S Lucey Proceedings of the IEEE international conference on computer vision, 1125-1134, 2017 | 506 | 2017 |
| Face alignment through subspace constrained mean-shifts JM Saragih, S Lucey, JF Cohn 2009 IEEE 12th International Conference on Computer Vision, 1034-1041, 2009 | 506 | 2009 |
| Learning efficient point cloud generation for dense 3d object reconstruction CH Lin, C Kong, S Lucey proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 466 | 2018 |
| Correlation filters with limited boundaries H Kiani Galoogahi, T Sim, S Lucey Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 449 | 2015 |
| St-gan: Spatial transformer generative adversarial networks for image compositing CH Lin, E Yumer, O Wang, E Shechtman, S Lucey Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 443 | 2018 |
| Fast convolutional sparse coding H Bristow, A Eriksson, S Lucey Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 417 | 2013 |
| Automatically detecting pain in video through facial action units P Lucey, JF Cohn, I Matthews, S Lucey, S Sridharan, J Howlett, ... IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 41 …, 2010 | 337 | 2010 |
| Multi-channel correlation filters HK Galoogahi, T Sim, S Lucey Proceedings of the IEEE international conference on computer vision, 3072-3079, 2013 | 323 | 2013 |
| Learning policies for adaptive tracking with deep feature cascades C Huang, S Lucey, D Ramanan Proceedings of the IEEE international conference on computer vision, 105-114, 2017 | 276 | 2017 |
| Pcrnet: Point cloud registration network using pointnet encoding V Sarode, X Li, H Goforth, Y Aoki, RA Srivatsan, S Lucey, H Choset arXiv preprint arXiv:1908.07906, 2019 | 256 | 2019 |
| Investigating Spontaneous Facial Action Recognition through AAM Representations of the Face S Lucey Face Recognition/I-Tech Education and Publishing 275, 2007 | 226 | 2007 |
Jeffrey CohnProfessor of Psychology, Psychiatry, and Intelligent Systems,University of PittsburghEmail confirmado em pitt.edu
