Pooya Khorrami
Pooya Khorrami
MIT Lincoln Laboratory
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Zitiert von
Zitiert von
Seq-nms for video object detection
W Han*, P Khorrami*, TL Paine*, P Ramachandran, M Babaeizadeh, ...
arXiv preprint arXiv:1602.08465, 2016
Do deep neural networks learn facial action units when doing expression recognition?
P Khorrami, T Paine, T Huang
arXiv preprint arXiv:1510.02969, 2015
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
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
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
Fast wavenet generation algorithm
TL Paine, P Khorrami, S Chang, Y Zhang, P Ramachandran, ...
arXiv preprint arXiv:1611.09482, 2016
Fast generation for convolutional autoregressive models
P Ramachandran*, TL Paine*, P Khorrami, M Babaeizadeh, S Chang, ...
arXiv preprint arXiv:1704.06001, 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
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
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
How deep learning can help emotion recognition
PR Khorrami
University of Illinois at Urbana-Champaign, 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
Visual Media: History and Perspectives
TS Huang, V Le, T Paine, P Khorrami, U Tariq
MultiMedia, IEEE 21 (2), 4-10, 2014
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
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
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
Multimedia Classification
S Chang, W Han, X Liu, N Xu, P Khorrami, TS Huang
Data Classification: Algorithms and Applications, 337, 2014
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
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
American Sign Language Recognition and Translation Feasibility Study
K Brady, MS Brandstein, JT Melot, YL Gwon, J Williams, E Salesky, ...
Technical Report 1233, Lincoln Laboratory, MIT, 2018
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