Pooya Khorrami
Pooya Khorrami
MIT Lincoln Laboratory
Verified email at ll.mit.edu - Homepage
TitleCited byYear
Do deep neural networks learn facial action units when doing expression recognition?
P Khorrami, T Paine, T Huang
arXiv preprint arXiv:1510.02969, 2015
Seq-nms for video object detection
W Han, P Khorrami, TL Paine, P Ramachandran, M Babaeizadeh, H Shi, ...
arXiv preprint arXiv:1602.08465, 2016
Fast generation for convolutional autoregressive models
P Ramachandran, TL Paine, P Khorrami, M Babaeizadeh, S Chang, ...
arXiv preprint arXiv:1704.06001, 2017
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
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
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
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
Visual Media: History and Perspectives
TS Huang, V Le, T Paine, P Khorrami, U Tariq
MultiMedia, IEEE 21 (2), 4-10, 2014
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
How deep learning can help emotion recognition
PR Khorrami
University of Illinois at Urbana-Champaign, 2017
Multimedia Classification
S Chang, W Han, X Liu, N Xu, P Khorrami, TS Huang
Data Classification: Algorithms and Applications, 337, 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
A New Data Corpus to Promote More Complete Autonomous Machine Learning Pipelines
R Lippmann, S Vattam, P Khorrami, C Dagli
Neural Information Processing Systems (NeurIPS) 2018, Challenges in Machine …, 2018
Face Processing and Applications to Distance Learning
V Le, P Khorrami, U Tariq, H Tang, T Huang
World Scientific, 2016
Fully Automatic Vision-based System for Vehicle Crash Prediction and Recognition
P Khorrami
University of Illinois at Urbana-Champaign, 2014
Automatic Logo Detection and Removal
M Cha, P Khorrami, M Wagner
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