Multimedia Classification. - Shiyu Chang; Wei Han 002; Xianming Liu; Ning Xu 001; Pooya Khorrami; Thomas S. Huang (Data Classification: Algorithms and Applications, 2014)

Foreground object detection in highly dynamic scenes using saliency. - Kai-Hsiang Lin; Pooya Khorrami; Jiangping Wang; Mark Hasegawa-Johnson; Thomas S. Huang (ICIP, 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 (ICME Workshops, 2014)

Visual Media: History and Perspectives. - Thomas S. Huang; Vuong Le; Thomas Paine; Pooya Khorrami; Usman Tariq (IEEE Multim., 2014)

Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition? - Pooya Khorrami; Tom Le Paine; Thomas S. Huang (ICCV Workshops, 2015)

An Analysis of Unsupervised Pre-training in Light of Recent Advances. - Tom Le Paine; Pooya Khorrami; Wei Han 002; Thomas S. Huang (ICLR (Workshop), 2015)

Face Processing and Applications to Distance Learning - Vuong Le; Pooya Khorrami; Usman Tariq; Hao Tang 001; Thomas S. Huang (WorldScientific, 2016)

How deep neural networks can improve emotion recognition on video data. - Pooya Khorrami; Tom Le Paine; Kevin Brady 001; Charlie K. Dagli; Thomas S. Huang (ICIP, 2016)

Multi-Modal Audio, Video and Physiological Sensor Learning for Continuous Emotion Prediction. - Kevin Brady 001; Youngjune Gwon; Pooya Khorrami; Elizabeth Godoy; William M. Campbell; Charlie K. Dagli; Thomas S. Huang (AVEC@ACM Multimedia, 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 001; Charlie K. Dagli; Thomas F. Quatieri (AVEC@ACM Multimedia, 2016)

Seq-NMS for Video Object Detection. - Wei Han 002; Pooya Khorrami; Tom Le Paine; Prajit Ramachandran; Mohammad Babaeizadeh; Honghui Shi; Jianan Li 001; Shuicheng Yan; Thomas S. Huang (CoRR, 2016)

Fast Wavenet Generation Algorithm. - Tom Le Paine; Pooya Khorrami; Shiyu Chang; Yang Zhang 001; Prajit Ramachandran; Mark A. Hasegawa-Johnson; Thomas S. Huang (CoRR, 2016)

Fast Generation for Convolutional Autoregressive Models. - Prajit Ramachandran; Tom Le Paine; Pooya Khorrami; Mohammad Babaeizadeh; Shiyu Chang; Yang Zhang 001; Mark A. Hasegawa-Johnson; Roy H. Campbell; Thomas S. Huang (ICLR (Workshop), 2017)

How deep learning can help emotion recognition - Pooya Khorrami (2017)

Deep Learning-Based Nuclei Segmentation of Cleared Brain Tissue. - Pooya Khorrami; Kevin Brady 001; Mark Hernandez; Lars Gjesteby; Sara N. Burke; Damon G. Lamb; Matthew A. Melton; Kevin J. Otto; Laura J. Brattain (HPEC, 2019)

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 001 (IEEE BigData, 2021)

Instance Segmentation of Neuronal Nuclei Leveraging Domain Adaptation. - Kevin Brady 001; Pooya Khorrami; Lars Gjesteby; Laura J. Brattain (HPEC, 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)

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 (HPEC, 2023)

LoRAX: LoRA eXpandable Networks for Continual Synthetic Image Attribution. - Danielle Sullivan-Pao; Nicole Tian; Pooya Khorrami (BMVC Workshops, 2024)

Emergent Capability in Audio Deepfake Detection. - Yunbin Deng; Alec Laprevotte; Robert Dunn; Pooya Khorrami; Charlie K. Dagli; Pedro A. Torres-Carrasquillo (IWBF, 2025)

Constrained Maximum Likelihood Gaussian Score Fusion for Multimodal Deepfake Detection. - Pooya Khorrami; Bengt J. Borgström; Yunbin Deng; Charlie K. Dagli; Pedro A. Torres-Carrasquillo (IWBF, 2025)