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Pooya Khorrami
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2020 – today
- 2023
- [c12]Ileana Rugina, Rumen Dangovski, Mark Veillette, Pooya Khorrami, Brian Cheung, Olga Simek, Marin Soljacic:
Meta-Learning and Self-Supervised Pretraining for Storm Event Imagery Translation. HPEC 2023: 1-9 - 2021
- [c11]Pooya Khorrami, Olga Simek, Brian Cheung, Mark Veillette, Rumen Dangovski, Ileana Rugina, Marin Soljacic, Pulkit Agrawal:
Adapting Deep Learning Models to New Meteorological Contexts Using Transfer Learning. IEEE BigData 2021: 4169-4177 - [c10]Kevin Brady, Pooya Khorrami, Lars Gjesteby, Laura J. Brattain:
Instance Segmentation of Neuronal Nuclei Leveraging Domain Adaptation. HPEC 2021: 1-5 - [i6]Ileana Rugina, Rumen Dangovski, Mark Veillette, Pooya Khorrami, Brian Cheung, Olga Simek, Marin Soljacic:
Meta-Learning and Self-Supervised Pretraining for Real World Image Translation. CoRR abs/2112.11929 (2021)
2010 – 2019
- 2019
- [c9]Pooya Khorrami, Kevin Brady, Mark Hernandez, Lars Gjesteby, Sara N. Burke, Damon G. Lamb, Matthew A. Melton, Kevin J. Otto, Laura J. Brattain:
Deep Learning-Based Nuclei Segmentation of Cleared Brain Tissue. HPEC 2019: 1-2 - 2017
- [b2]Pooya Khorrami:
How deep learning can help emotion recognition. University of Illinois Urbana-Champaign, USA, 2017 - [c8]Prajit Ramachandran, Tom Le Paine, Pooya Khorrami, Mohammad Babaeizadeh, Shiyu Chang, Yang Zhang, Mark A. Hasegawa-Johnson, Roy H. Campbell, Thomas S. Huang:
Fast Generation for Convolutional Autoregressive Models. ICLR (Workshop) 2017 - [i5]Prajit Ramachandran, Tom Le Paine, Pooya Khorrami, Mohammad Babaeizadeh, Shiyu Chang, Yang Zhang, Mark A. Hasegawa-Johnson, Roy H. Campbell, Thomas S. Huang:
Fast Generation for Convolutional Autoregressive Models. CoRR abs/1704.06001 (2017) - 2016
- [b1]Vuong Le, Pooya Khorrami, Usman Tariq, Hao Tang, Thomas S. Huang:
Face Processing and Applications to Distance Learning. WorldScientific 2016, ISBN 9789814733021, pp. 1-136 - [c7]Pooya Khorrami, Tom Le Paine, Kevin Brady, Charlie K. Dagli, Thomas S. Huang:
How deep neural networks can improve emotion recognition on video data. ICIP 2016: 619-623 - [c6]James R. Williamson, Elizabeth Godoy, Miriam Cha, Adrianne Schwarzentruber, Pooya Khorrami, Youngjune Gwon, H. T. Kung, Charlie K. Dagli, Thomas F. Quatieri:
Detecting Depression using Vocal, Facial and Semantic Communication Cues. AVEC@ACM Multimedia 2016: 11-18 - [c5]Kevin Brady, Youngjune Gwon, Pooya Khorrami, Elizabeth Godoy, William M. Campbell, Charlie K. Dagli, Thomas S. Huang:
Multi-Modal Audio, Video and Physiological Sensor Learning for Continuous Emotion Prediction. AVEC@ACM Multimedia 2016: 97-104 - [i4]Pooya Khorrami, Tom Le Paine, Kevin Brady, Charlie K. Dagli, Thomas S. Huang:
How Deep Neural Networks Can Improve Emotion Recognition on Video Data. CoRR abs/1602.07377 (2016) - [i3]Wei Han, Pooya Khorrami, Tom Le Paine, Prajit Ramachandran, Mohammad Babaeizadeh, Honghui Shi, Jianan Li, Shuicheng Yan, Thomas S. Huang:
Seq-NMS for Video Object Detection. CoRR abs/1602.08465 (2016) - [i2]Tom Le Paine, Pooya Khorrami, Shiyu Chang, Yang Zhang, Prajit Ramachandran, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Fast Wavenet Generation Algorithm. CoRR abs/1611.09482 (2016) - 2015
- [c4]Pooya Khorrami, Tom Le Paine, Thomas S. Huang:
Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition? ICCV Workshops 2015: 19-27 - [c3]Tom Le Paine, Pooya Khorrami, Wei Han, Thomas S. Huang:
An Analysis of Unsupervised Pre-training in Light of Recent Advances. ICLR (Workshop) 2015 - [i1]Pooya Khorrami, Tom Le Paine, Thomas S. Huang:
Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition? CoRR abs/1510.02969 (2015) - 2014
- [j1]Thomas S. Huang, Vuong Le, Thomas Paine, Pooya Khorrami, Usman Tariq:
Visual Media: History and Perspectives. IEEE Multim. 21(2): 4-10 (2014) - [c2]Kai-Hsiang Lin, Pooya Khorrami, Jiangping Wang, Mark Hasegawa-Johnson, Thomas S. Huang:
Foreground object detection in highly dynamic scenes using saliency. ICIP 2014: 1125-1129 - [c1]Pooya Khorrami, Vuong Le, John C. Hart, Thomas S. Huang:
A system for monitoring the engagement of remote online students using eye gaze estimation. ICME Workshops 2014: 1-6 - [p1]Shiyu Chang, Wei Han, Xianming Liu, Ning Xu, Pooya Khorrami, Thomas S. Huang:
Multimedia Classification. Data Classification: Algorithms and Applications 2014: 337-364
Coauthor Index
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