| Do deep neural networks learn facial action units when doing expression recognition? P Khorrami, T Paine, T Huang arXiv preprint arXiv:1510.02969, 2015 | 277 | 2015 |
| Seq-nms for video object detection W Han*, P Khorrami*, TL Paine*, P Ramachandran, M Babaeizadeh, ... arXiv preprint arXiv:1602.08465, 2016 | 249 | 2016 |
| Detecting depression using vocal, facial and semantic communication cues JR Williamson, E Godoy, M Cha, A Schwarzentruber, P Khorrami, Y Gwon, ... Proceedings of the 6th International Workshop on Audio/Visual Emotion …, 2016 | 127 | 2016 |
| How deep neural networks can improve emotion recognition on video data P Khorrami, T Le Paine, K Brady, C Dagli, TS Huang arXiv preprint arXiv:1602.07377, 2016 | 119 | 2016 |
| Multi-modal audio, video and physiological sensor learning for continuous emotion prediction K Brady, Y Gwon, P Khorrami, E Godoy, W Campbell, C Dagli, TS Huang Proceedings of the 6th International Workshop on Audio/Visual Emotion …, 2016 | 112 | 2016 |
| Fast wavenet generation algorithm TL Paine, P Khorrami, S Chang, Y Zhang, P Ramachandran, ... arXiv preprint arXiv:1611.09482, 2016 | 87 | 2016 |
| Fast generation for convolutional autoregressive models P Ramachandran*, TL Paine*, P Khorrami, M Babaeizadeh, S Chang, ... arXiv preprint arXiv:1704.06001, 2017 | 65 | 2017 |
| An analysis of unsupervised pre-training in light of recent advances TL Paine*, P Khorrami*, W Han, TS Huang arXiv preprint arXiv:1412.6597, 2014 | 57 | 2014 |
| Multiple Animal Species Detection Using Robust Principal Component Analysis and Large Displacement Optical Flow P Khorrami, J Wang, TS Huang ICPR Workshop on Visual Observation and Analysis of Animal and Insect …, 2012 | 34 | 2012 |
| A System for Monitoring the Engagement of Remote Online Students Using Eye Gaze Estimation P Khorrami, V Le, JC Hart, TS Huang Multimedia and Expo Workshops (ICMEW), 2014 IEEE International Conference on …, 2014 | 17 | 2014 |
| How deep learning can help emotion recognition PR Khorrami University of Illinois at Urbana-Champaign, 2017 | 7 | 2017 |
| Foreground Object Detection in Highly Dynamic Scenes Using Saliency KH Lin, P Khorrami, J Wang, M Hasegawa-Johnson, TS Huang Image Processing (ICIP), 2014 IEEE International Conference on, 1125 - 1129, 2014 | 7 | 2014 |
| Visual Media: History and Perspectives TS Huang, V Le, T Paine, P Khorrami, U Tariq MultiMedia, IEEE 21 (2), 4-10, 2014 | 7 | 2014 |
| Deep learning-based nuclei segmentation of cleared brain tissue P Khorrami, K Brady, M Hernandez, L Gjesteby, SN Burke, DG Lamb, ... 2019 IEEE High Performance Extreme Computing Conference (HPEC), 1-2, 2019 | 3 | 2019 |
| Multimedia Classification S Chang, W Han, X Liu, N Xu, P Khorrami, TS Huang Data Classification: Algorithms and Applications, 337, 2014 | 3 | 2014 |
| American Sign Language Recognition and Translation Feasibility Study K Brady, MS Brandstein, JT Melot, YL Gwon, J Williams, E Salesky, ... LINCOLN LAB, MASSACHUSETTS INST OF TECH LEXINGTON LEXINGTON United States, 2018 | 1 | 2018 |
| Quantifying Bias in a Face Verification System M Frisella, P Khorrami, J Matterer, K Kratkiewicz, P Torres-Carrasquillo Computer Sciences & Mathematics Forum 3 (1), 6, 2022 | | 2022 |
| Meta-Learning and Self-Supervised Pretraining for Real World Image Translation I Rugina, R Dangovski, M Veillette, P Khorrami, B Cheung, O Simek, ... arXiv preprint arXiv:2112.11929, 2021 | | 2021 |
| Adapting Deep Learning Models to New Meteorological Contexts Using Transfer Learning P Khorrami, O Simek, B Cheung, M Veillette, R Dangovski, I Rugina, ... 2021 IEEE International Conference on Big Data (Big Data), 4169-4177, 2021 | | 2021 |
| Instance Segmentation of Neuronal Nuclei Leveraging Domain Adaptation K Brady, P Khorrami, L Gjesteby, L Brattain 2021 IEEE High Performance Extreme Computing Conference (HPEC), 1-5, 2021 | | 2021 |
Thomas S. HuangUniversity of Illinois, Urbana-ChampaignVerified email at ifp.uiuc.edu
