Publications

Books/Book Chapters:

Face Processing and Applications to Distance Learning
Vuong Le, Pooya Khorrami, Usman Tariq, Hao Tang, Thomas S. Huang
World Scientific Publishing Co. 2016
[WSP Link][Amazon Link]

Data Classification: Algorithms and Applications
Shiyu Chang, Wei Han, Xianming Liu, Ning Xu, Pooya Khorrami, Thomas S. Huang
Chapter 11, Multimedia Classification. Editor: Charu C. Aggarwal
Chapman and Hall/CRC 2014
[link]


Journal Papers:

Visual Media: History and Perspectives
Thomas S. Huang, Vuong Le, Thomas Paine, Pooya Khorrami, Usman Tariq
IEEE MultiMedia, vol 21, no. 2, 2014
[IEEE Xplore Link]


Conference / Workshop Papers:

Fast Generation for Convolutional Autoregressive Models
Prajit Ramachandran, Tom Le Paine, Pooya Khorrami, Mohammad Babaeizadeh,
Shiyu Chang, Yang Zhang, Mark Hasegawa-Johnson, Roy H. Campbell, Thomas S. Huang
2017 International Conference on Learning Representations Workshop (ICLR)
           
Multi-Modal Audio, Video and Physiological Sensor Learning for Continuous Emotion Prediction
Kevin Brady, Youngjune Gwon, Pooya Khorrami, Elizabeth Godoy,
William Campbell, Charlie Dagli, Thomas S. Huang          
2016 ACM MM Workshop on Audio/Visual Emotion Challenge (AVEC)
Amsterdam, The Netherlands, October 2016
[ACM DL Link] - Our entry achieved 1st place in the AVEC Emotion Sub-challenge!
          
Detecting Depression using Vocal, Facial and Semantic Communication Cues
 James R Williamson, Elizabeth Godoy, Miriam Cha, Adrianne Schwarzentruber,
Pooya Khorrami, Youngjune Gwon, Hsiang-Tsung Kung, Charlie Dagli, Thomas F. Quatieri
2016 ACM MM Workshop on Audio/Visual Emotion Challenge (AVEC)
Amsterdam, The Netherlands, October 2016
[ACM DL Link] - Our entry achieved 2nd place in the AVEC Depression Sub-challenge!

How Deep Neural Networks Can Help Emotion Recognition on Video Data
Pooya Khorrami, Tom Le Paine, Kevin Brady, Charlie Dagli, Thomas S. Huang
2016 IEEE International Conference on Image Processing (ICIP)
Phoenix, AZ USA, September 2016
[arxiv link][IEEE Xplore Link] (Note: arxiv version is most up-to-date)

Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition?
Pooya Khorrami, Tom Le Paine, Thomas S. Huang
2015 IEEE International Conference on Computer Vision Workshops (ICCVW)
Santiago, Chile, December 2015
[arxiv link][IEEE Xplore Link][cvf link][code] (Note: arxiv version is most up-to-date)

An Analysis of Unsupervised Pre-training in Light of Recent Advances
Tom Le Paine*, Pooya Khorrami*, Wei Han, Thomas S. Huang
2015 International Conference on Learning Representations Workshop (ICLR)
San Diego, CA USA, May 2015
[arxiv link][code]
* - equal contribution

Foreground Object Detection in Highly Dynamic Scenes using Saliency
Kai-Hsiang Lin, Pooya Khorrami, Jiangping Wang, Mark Hasegawa-Johnson, Thomas S. Huang
2014 IEEE International Conference on Image Processing (ICIP)
Paris, France, October 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
2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)
Chengdu, China, July 2014
[IEEE Xplore Link]

Multiple Animal Species Detection using Robust Principal
Component Analysis and Large Displacement Optical Flow
Pooya Khorrami, Jiangping Wang, Thomas S. Huang
2012 International Conference on Pattern Recognition VAIB Workshop
Tsukuba, Japan, November 2012


Technical Reports:

Fast Wavenet Generation Algorithm
Tom Le Paine, Pooya Khorrami, Shiyu Chang, Yang Zhang,
Prajit Ramachandran, Mark Hasegawa-Johnson, Thomas S. Huang
arXiv 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
Achieved 3rd place in overall mAP at 2015 ImageNet VID Challenge!
arXiv 2016
* - equal contribution


Dissertations / Theses:

PhD Dissertation
How Deep Learning Can Help Emotion Recognition
Pooya Khorrami
University of Illinois - Urbana Champaign, 2017
[IDEALS Link]

M.S. Thesis
Fully Automatic Vision-Based System for Vehicle Crash Prediction and Recognition
Pooya Khorrami
University of Illinois - Urbana Champaign, 2014
[IDEALS Link]
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