Pooya Khorrami

27 papers B 2Journal 9Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From Snow to Rain: Evaluating Robustness, Calibration, and Complexity of Model-Based Robust Training. CoRR Josué Martínez-Martínez, Olivia Brown, Giselle Zeno, Pooya Khorrami, Rajmonda Caceres
2025	—	`conf`	Constrained Maximum Likelihood Gaussian Score Fusion for Multimodal Deepfake Detection. IWBF Pooya Khorrami, Bengt J. Borgström, Yunbin Deng, Charlie K. Dagli, Pedro A. Torres-Carrasquillo
2025	—	`conf`	Emergent Capability in Audio Deepfake Detection. IWBF Yunbin Deng, Alec Laprevotte, Robert Dunn, Pooya Khorrami, Charlie K. Dagli, Pedro A. Torres-Carrasquillo
2025	J	`jnl`	LoRAX: LoRA eXpandable Networks for Continual Synthetic Image Attribution. CoRR Danielle Sullivan-Pao, Nicole Tian, Pooya Khorrami
2024	—	`conf`	LoRAX: LoRA eXpandable Networks for Continual Synthetic Image Attribution. BMVC Workshops Danielle Sullivan-Pao, Nicole Tian, Pooya Khorrami
2023	—	`conf`	Meta-Learning and Self-Supervised Pretraining for Storm Event Imagery Translation. HPEC Ileana Rugina, Rumen Dangovski, Mark Veillette, Pooya Khorrami, Brian Cheung, Olga Simek, Marin Soljacic
2021	—	`conf`	Adapting Deep Learning Models to New Meteorological Contexts Using Transfer Learning. IEEE BigData Pooya Khorrami, Olga Simek, Brian Cheung, Mark Veillette, Rumen Dangovski, Ileana Rugina, Marin Soljacic, Pulkit Agrawal
2021	—	`conf`	Instance Segmentation of Neuronal Nuclei Leveraging Domain Adaptation. HPEC Kevin Brady, Pooya Khorrami, Lars Gjesteby, Laura J. Brattain
2021	J	`jnl`	Meta-Learning and Self-Supervised Pretraining for Real World Image Translation. CoRR Ileana Rugina, Rumen Dangovski, Mark Veillette, Pooya Khorrami, Brian Cheung, Olga Simek, Marin Soljacic
2019	—	`conf`	Deep Learning-Based Nuclei Segmentation of Cleared Brain Tissue. HPEC Pooya Khorrami, Kevin Brady, Mark Hernandez, Lars Gjesteby, Sara N. Burke, Damon G. Lamb, Matthew A. Melton, Kevin J. Otto, Laura J. Brattain
2017	—	`conf`	Fast Generation for Convolutional Autoregressive Models. ICLR (Workshop) Prajit Ramachandran, Tom Le Paine, Pooya Khorrami, Mohammad Babaeizadeh, Shiyu Chang, Yang Zhang, Mark A. Hasegawa-Johnson, Roy H. Campbell, Thomas S. Huang
2017	J	`jnl`	Fast Generation for Convolutional Autoregressive Models. CoRR Prajit Ramachandran, Tom Le Paine, Pooya Khorrami, Mohammad Babaeizadeh, Shiyu Chang, Yang Zhang, Mark A. Hasegawa-Johnson, Roy H. Campbell, Thomas S. Huang
2017	—	`—`	How deep learning can help emotion recognition Pooya Khorrami
2016	—	`conf`	Detecting Depression using Vocal, Facial and Semantic Communication Cues. AVEC@ACM Multimedia James R. Williamson, Elizabeth Godoy, Miriam Cha, Adrianne Schwarzentruber, Pooya Khorrami, Youngjune Gwon, H. T. Kung, Charlie K. Dagli, Thomas F. Quatieri
2016	—	`book`	Face Processing and Applications to Distance Learning Vuong Le, Pooya Khorrami, Usman Tariq, Hao Tang, Thomas S. Huang
2016	J	`jnl`	Fast Wavenet Generation Algorithm. CoRR Tom Le Paine, Pooya Khorrami, Shiyu Chang, Yang Zhang, Prajit Ramachandran, Mark A. Hasegawa-Johnson, Thomas S. Huang
2016	J	`jnl`	How Deep Neural Networks Can Improve Emotion Recognition on Video Data. CoRR Pooya Khorrami, Tom Le Paine, Kevin Brady, Charlie K. Dagli, Thomas S. Huang
2016	B	`conf`	How deep neural networks can improve emotion recognition on video data. ICIP Pooya Khorrami, Tom Le Paine, Kevin Brady, Charlie K. Dagli, Thomas S. Huang
2016	—	`conf`	Multi-Modal Audio, Video and Physiological Sensor Learning for Continuous Emotion Prediction. AVEC@ACM Multimedia Kevin Brady, Youngjune Gwon, Pooya Khorrami, Elizabeth Godoy, William M. Campbell, Charlie K. Dagli, Thomas S. Huang
2016	J	`jnl`	Seq-NMS for Video Object Detection. CoRR Wei Han, Pooya Khorrami, Tom Le Paine, Prajit Ramachandran, Mohammad Babaeizadeh, Honghui Shi, Jianan Li, Shuicheng Yan, Thomas S. Huang
2015	—	`conf`	An Analysis of Unsupervised Pre-training in Light of Recent Advances. ICLR (Workshop) Tom Le Paine, Pooya Khorrami, Wei Han, Thomas S. Huang
2015	—	`conf`	Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition? ICCV Workshops Pooya Khorrami, Tom Le Paine, Thomas S. Huang
2015	J	`jnl`	Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition? CoRR Pooya Khorrami, Tom Le Paine, Thomas S. Huang
2014	—	`conf`	A system for monitoring the engagement of remote online students using eye gaze estimation. ICME Workshops Pooya Khorrami, Vuong Le, John C. Hart, Thomas S. Huang
2014	B	`conf`	Foreground object detection in highly dynamic scenes using saliency. ICIP Kai-Hsiang Lin, Pooya Khorrami, Jiangping Wang, Mark Hasegawa-Johnson, Thomas S. Huang
2014	—	`ch.`	Multimedia Classification. Data Classification: Algorithms and Applications Shiyu Chang, Wei Han, Xianming Liu, Ning Xu, Pooya Khorrami, Thomas S. Huang
2014	J	`jnl`	Visual Media: History and Perspectives. IEEE Multim. Thomas S. Huang, Vuong Le, Thomas Paine, Pooya Khorrami, Usman Tariq