| Deformable model fitting by regularized landmark mean-shift JM Saragih, S Lucey, JF Cohn International journal of computer vision 91 (2), 200-215, 2011 | 1046 | 2011 |
| 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 | 752 | 2017 |
| The painful face–pain expression recognition using active appearance models AB Ashraf, S Lucey, JF Cohn, T Chen, Z Ambadar, KM Prkachin, ... Image and vision computing 27 (12), 1788-1796, 2009 | 479 | 2009 |
| Face alignment through subspace constrained mean-shifts JM Saragih, S Lucey, JF Cohn 2009 IEEE 12th International Conference on Computer Vision, 1034-1041, 2009 | 469 | 2009 |
| Collecting large, richly annotated facial-expression databases from movies A Dhall, R Goecke, S Lucey, T Gedeon IEEE multimedia 19 (03), 34-41, 2012 | 418 | 2012 |
| 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 | 362 | 2011 |
| Correlation filters with limited boundaries H Kiani Galoogahi, T Sim, S Lucey Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 361 | 2015 |
| 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 | 359 | 2018 |
| 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 | 349 | 2019 |
| Fast convolutional sparse coding H Bristow, A Eriksson, S Lucey Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 332 | 2013 |
| Multi-channel correlation filters HK Galoogahi, T Sim, S Lucey Proceedings of the IEEE international conference on computer vision, 3072-3079, 2013 | 294 | 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 | 273 | 2010 |
| 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 | 225 | 2018 |
| 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 | 217 | 2019 |
| Investigating spontaneous facial action recognition through aam representations of the face S Lucey, AB Ashraf, JF Cohn INTECH Open Access Publisher, 2007 | 217 | 2007 |
| 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 | 201 | 2017 |
| Enforcing convexity for improved alignment with constrained local models Y Wang, S Lucey, JF Cohn 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 197 | 2008 |
| 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 | 193 | 2017 |
| Video co-summarization: Video summarization by visual co-occurrence WS Chu, Y Song, A Jaimes Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 190 | 2015 |
| Face authentication test on the BANCA database K Messer, J Kittler, M Sadeghi, M Hamouz, A Kostin, F Cardinaux, ... Proceedings of the 17th International Conference on Pattern Recognition …, 2004 | 146 | 2004 |
Jeffrey CohnProfessor of Psychology, Psychiatry, and Intelligent Systems,University of PittsburghVerified email at pitt.edu
