Pooya Khorrami

Hello! My name is Pooya Khorrami and I am a member of the technical staff in the Artificial Intelligence Technology and Systems group at MIT Lincoln Laboratory. I received a PhD at the University of Illinois at Urbana Champaign working under the supervision of Professor Thomas S. Huang in the Image Formation and Processing (IFP) group.

I also received a Master of Science (M.S.) degree in Electrical and Computer Engineering from the University of Illinois at Urbana Champaign in 2013 and a Bachelor of Science (B.S.) degree in Electrical and Computer Engineering from Carnegie Mellon University in 2011.

Github / Google Scholar / LinkedIn / CV

Research

I'm interested in computer vision, machine learning, media authentication, transfer learning, and emotion recognition.

	Parasite Networks: Transfer Learning in Resource-Constrained Domains Andrew Alini, Douglas Sturim, Kevin Brady, Pooya Khorrami NeurIPS Workshop on Fine-Tuning in Modern Machine Learning: Principles and Scalability 2024 paper
	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 IEEE High Performance Extreme Computing Conference (HPEC) 2023 paper
	Quantifying Bias in a Face Verification System Megan Frisella, Pooya Khorrami, Jason Matterer, Kendra Kratkiewicz, Pedro Torres-Carrasquillo Computer Sciences & Mathematics Forum (MDPI) 2022 paper
	Meta-Learning and Self-Supervised Pretraining for Real World Image Translation Ileana Rugina, Rumen Dangovski, Mark Veillette, Pooya Khorrami, Brian Cheung, Olga Simek, Marin Soljačić arXiv 2021 paper
	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 IEEE International Conference on Big Data (Big Data) 2021 paper
	Instance segmentation of neuronal nuclei leveraging domain adaptation Kevin Brady, Pooya Khorrami, Lars Gjesteby, Laura Brattain IEEE High Performance Extreme Computing Conference (HPEC) 2021 paper
	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 IEEE High Performance Extreme Computing Conference (HPEC) 2019 paper
	A New Data Corpus to Promote More Complete Autonomous Machine Learning Pipelines Richard Lippmann, Swaroop Vattam, Pooya Khorrami, Cagri Dagli NeurIPS Workshop on Challenges in Machine Learning (CiML) 2018 website
	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 ICLR Workshop 2017 paper
	Fast wavenet generation algorithm Tom Le Paine, Pooya Khorrami, Shiyu Chang, Yang Zhang, Prajit Ramachandran, Mark A Hasegawa-Johnson, Thomas S Huang arXiv 2016 paper
	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 6th International Workshop on Audio/Visual Emotion Challenge 2016 paper
	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 6th International Workshop on Audio/Visual Emotion Challenge 2016 paper
	How deep neural networks can improve emotion recognition on video data Pooya Khorrami, Tom Le Paine, Kevin Brady, Charlie Dagli, Thomas S Huang IEEE International Conference on Image Processing (ICIP) 2016 paper
	Face Processing and Applications to Distance Learning Vuong Le, Pooya Khorrami, Usman Tariq, Hao Tang, Thomas Huang World Scientific 2016 book
	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 ICCV ImageNet and MS COCO Visual Recognition Challenges Joint Workshop 2015 paper
	Do deep neural networks learn facial action units when doing expression recognition? Pooya Khorrami, Thomas Paine, Thomas Huang ICCV Workshop on Computer Vision for Affective Computing (CV4AC) 2015 paper
	An analysis of unsupervised pre-training in light of recent advances Tom Le Paine, Pooya Khorrami, Wei Han, Thomas S Huang ICLR Workshop 2015 paper
	Foreground Object Detection in Highly Dynamic Scenes Using Saliency Kai-Hsiang Lin, Pooya Khorrami, Jiangping Wang, Mark Hasegawa-Johnson, Thomas S Huang IEEE International Conference on Image Processing (ICIP) 2014 paper
	Multimedia Classification Shiyu Chang, Wei Han, Xianming Liu, Ning Xu, Pooya Khorrami, Thomas S. Huang Data Classification: Algorithms and Applications 2014 book
	A System for Monitoring the Engagement of Remote Online Students Using Eye Gaze Estimation Pooya Khorrami, Vuong Le, John C Hart, Thomas S Huang ICME Workshop on Emerging Multimedia Systems and Applications (EMSA) 2014 paper
	Visual Media: History and Perspectives Thomas S. Huang, Vuong Le, Thomas Paine, Pooya Khorrami, Usman Tariq IEEE Multimedia 2014 paper
	Multiple Animal Species Detection Using Robust Principal Component Analysis and Large Displacement Optical Flow Pooya Khorrami, Jiangping Wang, Thomas S. Huang ICPR Workshop on Visual Observation and Analysis of Animal and Insect Behavior (VAIB) 2012 paper