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Samira Pouyanfar
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2020 – today
- 2023
- [c23]Samira Pouyanfar, Sunando Sengupta, Mahmoud Mohammadi, Ebey Abraham, Brett Bloomquist, Lukas Dauterman, Anjali Parikh, Steve Lim, Eric Sommerlade:
FRR-Net: A Real-Time Blind Face Restoration and Relighting Network. CVPR Workshops 2023: 1240-1250 - 2022
- [j9]Haiman Tian, Maria E. Presa Reyes, Yudong Tao, Tianyi Wang, Samira Pouyanfar, Miguel Alonso, Steven Luis
, Mei-Ling Shyu, Shu-Ching Chen, Sundaraja Sitharama Iyengar:
Data Analytics for Air Travel Data: A Survey and New Perspectives. ACM Comput. Surv. 54(8): 167:1-167:35 (2022) - 2021
- [j8]Alireza Valikhani, Azadeh Jaberi Jahromi, Samira Pouyanfar, Islam M. Mantawy
Machine learning and image processing approaches for estimating concrete surface roughness using basic cameras. Comput. Aided Civ. Infrastructure Eng. 36(2): 213-226 (2021) - 2020
- [c22]Ankit Srivastava, Samira Pouyanfar, Joshua Allen, Ken Johnston, Qida Ma:
Distributed Differentially Private Mutual Information Ranking and Its Applications. IRI 2020: 90-96 - [i2]Ankit Srivastava, Samira Pouyanfar, Joshua Allen, Ken Johnston, Qida Ma:
Distributed Differentially Private Mutual Information Ranking and Its Applications. CoRR abs/2009.10861 (2020) - [i1]Lucas Rosenblatt, Xiaoyan Liu, Samira Pouyanfar, Eduardo de Leon, Anuj Desai, Joshua Allen:
Differentially Private Synthetic Data: Applied Evaluations and Enhancements. CoRR abs/2011.05537 (2020)
2010 – 2019
- 2019
- [j7]Samira Pouyanfar, Saad Sadiq, Yilin Yan, Haiman Tian, Yudong Tao
A Survey on Deep Learning: Algorithms, Techniques, and Applications. ACM Comput. Surv. 51(5): 92:1-92:36 (2019) - [j6]Haiman Tian, Yudong Tao
Multimodal deep representation learning for video classification. World Wide Web 22(3): 1325-1341 (2019) - [j5]Samira Pouyanfar, Yudong Tao
Multimodal deep learning based on multiple correspondence analysis for disaster management. World Wide Web 22(5): 1893-1911 (2019) - [c21]Samira Pouyanfar, Muneeb Saleem, Nikhil George, Shu-Ching Chen:
ROADS: Randomization for Obstacle Avoidance and Driving in Simulation. CVPR Workshops 2019: 78-87 - [c20]Samira Pouyanfar, Tianyi Wang, Shu-Ching Chen:
Residual Attention-Based Fusion for Video Classification. CVPR Workshops 2019: 478-480 - [c19]Samira Pouyanfar, Muneeb Saleem, Nikhil George, Shu-Ching Chen:
ROADS: Randomization for Obstacle Avoidance and Driving in Simulation. CVPR Workshops 2019: 1267-1276 - [c18]Samira Pouyanfar, Yudong Tao
Unconstrained Flood Event Detection Using Adversarial Data Augmentation. ICIP 2019: 155-159 - [c17]Tianyi Wang, Samira Pouyanfar, Haiman Tian, Yudong Tao
A Framework for Airfare Price Prediction: A Machine Learning Approach. IRI 2019: 200-207 - [c16]Samira Pouyanfar, Tianyi Wang, Shu-Ching Chen:
A Multi-label Multimodal Deep Learning Framework for Imbalanced Data Classification. MIPR 2019: 199-204 - 2018
- [j4]Samira Pouyanfar, Yimin Yang, Shu-Ching Chen
Multimedia Big Data Analytics: A Survey. ACM Comput. Surv. 51(1): 10:1-10:34 (2018) - [j3]Yimin Yang, Samira Pouyanfar, Haiman Tian
IF-MCA: Importance Factor-Based Multiple Correspondence Analysis for Multimedia Data Analytics. IEEE Trans. Multim. 20(4): 1024-1032 (2018) - [c15]Samira Pouyanfar, Shu-Ching Chen, Mei-Ling Shyu:
Deep Spatio-Temporal Representation Learning for Multi-Class Imbalanced Data Classification. IRI 2018: 386-393 - [c14]Haiman Tian, Samira Pouyanfar, Jonathan Chen, Shu-Ching Chen, S. Sitharama Iyengar:
Automatic Convolutional Neural Network Selection for Image Classification Using Genetic Algorithms. IRI 2018: 444-451 - [c13]Samira Pouyanfar, Yudong Tao
Dynamic Sampling in Convolutional Neural Networks for Imbalanced Data Classification. MIPR 2018: 112-117 - [c12]Samira Pouyanfar, Yudong Tao, Haiman Tian, Maria E. Presa Reyes, Yuexuan Tu, Yilin Yan, Tianyi Wang, Hector Cen Zheng, Yingxin Li, Saad Sadiq, Mei-Ling Shyu, Shu-Ching Chen, Winnie Chen, Tiffany Chen, Jonathan Chen:
Florida International University - University of Miami TRECVID 2018. TRECVID 2018 - 2017
- [j2]Samira Pouyanfar, Shu-Ching Chen:
Automatic Video Event Detection for Imbalance Data Using Enhanced Ensemble Deep Learning. Int. J. Semantic Comput. 11(1): 85-110 (2017) - [c11]Samira Pouyanfar, Shu-Ching Chen:
T-LRA: Trend-Based Learning Rate Annealing for Deep Neural Networks. BigMM 2017: 50-57 - [c10]Lili Pan, Samira Pouyanfar, Hao Chen, Jiaohua Qin, Shu-Ching Chen:
DeepFood: Automatic Multi-Class Classification of Food Ingredients Using Deep Learning. CIC 2017: 181-189 - [c9]Samira Pouyanfar, Shu-Ching Chen, Mei-Ling Shyu:
An efficient deep residual-inception network for multimedia classification. ICME 2017: 373-378 - [c8]Yilin Yan, Samira Pouyanfar, Yudong Tao, Haiman Tian, Maria E. Presa Reyes, Mei-Ling Shyu, Shu-Ching Chen, Winnie Chen, Tiffany Chen, Jonathan Chen:
Florida International University - University of Miami TRECVID 2017. TRECVID 2017 - 2016
- [j1]Ruogu Fang
Computational Health Informatics in the Big Data Age: A Survey. ACM Comput. Surv. 49(1): 12:1-12:36 (2016) - [c7]Haiman Tian, Hsin-Yu Ha, Samira Pouyanfar, Yilin Yan, Sheng Guan, Shu-Ching Chen, Mei-Ling Shyu, Shahid Hamid:
A Scalable and Automatic Validation Process for Florida Public Hurricane Loss Model (Invited Paper). IRI 2016: 324-331 - [c6]Yilin Yan, Samira Pouyanfar, Haiman Tian, Sheng Guan, Hsin-Yu Ha, Shu-Ching Chen, Mei-Ling Shyu, Shahid Hamid:
Domain Knowledge Assisted Data Processing for Florida Public Hurricane Loss Model (Invited Paper). IRI 2016: 441-447 - [c5]Samira Pouyanfar, Shu-Ching Chen:
Semantic Concept Detection Using Weighted Discretization Multiple Correspondence Analysis for Disaster Information Management. IRI 2016: 556-564 - [c4]Samira Pouyanfar, Shu-Ching Chen:
Semantic Event Detection Using Ensemble Deep Learning. ISM 2016: 203-208 - [c3]Yilin Yan, Samira Pouyanfar, Sheng Guan, Haiman Tian, Hsin-Yu Ha, Mei-Ling Shyu, Shu-Ching Chen, Winnie Chen, Tiffany Chen, Jonathan Chen:
Florida International University - University of Miami TRECVID 2016. TRECVID 2016 - 2015
- [c2]Yimin Yang, Daniel Lopez, Haiman Tian, Samira Pouyanfar, Fausto C. Fleites, Shu-Ching Chen, Shahid Hamid:
Integrated execution framework for catastrophe modeling. ICSC 2015: 201-207 - [c1]Hsin-Yu Ha, Yimin Yang, Samira Pouyanfar, Haiman Tian, Shu-Ching Chen:
Correlation-Based Deep Learning for Multimedia Semantic Concept Detection. WISE (2) 2015: 473-487
Coauthor Index
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last updated on 2024-10-07 21:22 CEST by the dblp team
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