Pooya Khorrami

According to our database, Pooya Khorrami authored at least 19 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Meta-Learning and Self-Supervised Pretraining for Storm Event Imagery Translation.

Ileana Rugina, Rumen Dangovski, Mark Veillette, Pooya Khorrami, Brian Cheung, Olga Simek, Marin Soljacic

Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

2021

Meta-Learning and Self-Supervised Pretraining for Real World Image Translation.

Ileana Rugina, Rumen Dangovski, Mark Veillette, Pooya Khorrami, Brian Cheung, Olga Simek, Marin Soljacic

CoRR, 2021

Instance Segmentation of Neuronal Nuclei Leveraging Domain Adaptation.

Kevin Brady, Pooya Khorrami, Lars Gjesteby, Laura J. Brattain

Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

Adapting Deep Learning Models to New Meteorological Contexts Using Transfer Learning.

Pooya Khorrami, Olga Simek, Brian Cheung, Mark Veillette, Rumen Dangovski, Ileana Rugina, Marin Soljacic, Pulkit Agrawal

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2019

Deep Learning-Based Nuclei Segmentation of Cleared Brain Tissue.

Pooya Khorrami, Kevin Brady, Mark Hernandez, Lars Gjesteby, Sara N. Burke, Damon G. Lamb, Matthew A. Melton, Kevin J. Otto, Laura J. Brattain

Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

2017

How deep learning can help emotion recognition

Pooya Khorrami

PhD thesis, 2017

Fast Generation for Convolutional Autoregressive Models.

Prajit Ramachandran, Tom Le Paine, Pooya Khorrami, Mohammad Babaeizadeh, Shiyu Chang, Yang Zhang, Mark A. Hasegawa-Johnson, Roy H. Campbell, Thomas S. Huang

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Fast Wavenet Generation Algorithm.

Tom Le Paine, Pooya Khorrami, Shiyu Chang, Yang Zhang, Prajit Ramachandran, Mark A. Hasegawa-Johnson, Thomas S. Huang

CoRR, 2016

Seq-NMS for Video Object Detection.

Wei Han, Pooya Khorrami, Tom Le Paine, Prajit Ramachandran, Mohammad Babaeizadeh, Honghui Shi, Jianan Li, Shuicheng Yan, Thomas S. Huang

CoRR, 2016

Detecting Depression using Vocal, Facial and Semantic Communication Cues.

James R. Williamson, Elizabeth Godoy, Miriam Cha, Adrianne Schwarzentruber, Pooya Khorrami, Youngjune Gwon, H. T. Kung, Charlie K. Dagli, Thomas F. Quatieri

Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge, 2016

Multi-Modal Audio, Video and Physiological Sensor Learning for Continuous Emotion Prediction.

Kevin Brady, Youngjune Gwon, Pooya Khorrami, Elizabeth Godoy, William M. Campbell, Charlie K. Dagli, Thomas S. Huang

Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge, 2016

How deep neural networks can improve emotion recognition on video data.

Pooya Khorrami, Tom Le Paine, Kevin Brady, Charlie K. Dagli, Thomas S. Huang

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Face Processing and Applications to Distance Learning

Vuong Le, Pooya Khorrami, Usman Tariq, Hao Tang, Thomas S. Huang

WorldScientific, ISBN: 9789814733045, 2016

2015

An Analysis of Unsupervised Pre-training in Light of Recent Advances.

Tom Le Paine, Pooya Khorrami, Wei Han, Thomas S. Huang

Proceedings of the 3rd International Conference on Learning Representations, 2015

Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition?

Pooya Khorrami, Tom Le Paine, Thomas S. Huang

Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

2014

Visual Media: History and Perspectives.

Thomas S. Huang, Vuong Le, Thomas Paine, Pooya Khorrami, Usman Tariq

IEEE Multim., 2014

A system for monitoring the engagement of remote online students using eye gaze estimation.

Pooya Khorrami, Vuong Le, John C. Hart, Thomas S. Huang

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2014

Foreground object detection in highly dynamic scenes using saliency.

Kai-Hsiang Lin, Pooya Khorrami, Jiangping Wang, Mark Hasegawa-Johnson, Thomas S. Huang

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Multimedia Classification.

Shiyu Chang, Wei Han, Xianming Liu, Ning Xu, Pooya Khorrami, Thomas S. Huang

Proceedings of the Data Classification: Algorithms and Applications, 2014