2022
|
Hejazi, Farzam; Vuckovic, Katarina; Rahnavard, Nazanin Spectrum Shaping For Multiple Link Discovery in 6G THz Systems Journal Article In: 2022. @article{nokey,
title = {Spectrum Shaping For Multiple Link Discovery in 6G THz Systems},
author = {Farzam Hejazi and Katarina Vuckovic and Nazanin Rahnavard},
editor = {IEEE Transaction of Communications },
year = {2022},
date = {2022-08-30},
urldate = {2022-08-30},
keywords = {Deep Learning, Wireless Communication},
pubstate = {published},
tppubtype = {article}
}
|
Pestana, C.; Akhtar, N.; Rahnavard, N.; Shah, M.; "Transferable 3D Adversarial Textures using End-to-end Optimization A. Mian, " 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Transferable 3D Adversarial Textures using End-to-end Optimization Inproceedings In: on Applications of Computer Vision (WACV), 2022 IEEE/CVF Winter Conference (Ed.): pp. 727-736, 2022. @inproceedings{nokey,
title = {Transferable 3D Adversarial Textures using End-to-end Optimization},
author = {C. Pestana and N. Akhtar and N. Rahnavard and M. Shah and A. Mian, "Transferable 3D Adversarial Textures using End-to-end Optimization," 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022, pp. 727-736, doi: 10.1109/WACV51458.2022.00080.},
editor = {2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
url = {https://lcwnlab.eecs.ucf.edu/wp-content/uploads/2022/08/2022_Transferable_3D_Adversarial_Textures_WACV_Camilo.pdf},
year = {2022},
date = {2022-08-01},
pages = {727-736},
keywords = {Deep Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Karim, Nazmul; Khalid, Umar; Esmaeili, Ashkan; Rahnavard, Nazanin CNLL: A Semi-supervised Approach For Continual Noisy Label Learning Inproceedings In: Vision, IEEE Computer; (CVPRW'22), Pattern Recognition Workshops (Ed.): 2022. @inproceedings{nokey,
title = {CNLL: A Semi-supervised Approach For Continual Noisy Label Learning},
author = {Nazmul Karim and Umar Khalid and Ashkan Esmaeili and Nazanin Rahnavard},
editor = {IEEE Computer Vision and Pattern Recognition Workshops (CVPRW'22)},
url = {https://lcwnlab.eecs.ucf.edu/wp-content/uploads/2022/08/2022_CVPRW_CNLL_A_Semi-Supervised_Approach_for_Continual_Noisy_Label_Learning_Nazmul-3.pdf
https://lcwnlab.eecs.ucf.edu/wp-content/uploads/2022/08/2022_CVPRW_CNLL_Nazmul_Poster-1.pdf},
year = {2022},
date = {2022-06-06},
urldate = {2022-06-06},
keywords = {AI Security, Deep Learning, Deep Learning Theory},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Karim, Nazmul; Rizve, Mamshad Nayeem; Rahnavard, Nazanin; Mian, Ajmal; Shah, Mubarak UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning Inproceedings In: on Computer Vision, IEEE Conference; (CVPR'22), Pattern Recognition (Ed.): 2022. @inproceedings{nokey,
title = {UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning},
author = {Nazmul Karim and Mamshad Nayeem Rizve and Nazanin Rahnavard and Ajmal Mian and Mubarak Shah},
editor = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR'22)},
url = {https://lcwnlab.eecs.ucf.edu/wp-content/uploads/2022/04/2022_CVPR_UniCon_Nazmul-1.pdf
https://lcwnlab.eecs.ucf.edu/wp-content/uploads/2022/04/2022_CVPR_UniCon_Nazmul_supplimental.pdf
https://github.com/nazmul-karim170/UNICON-Noisy-Label},
year = {2022},
date = {2022-06-06},
urldate = {2022-06-06},
journal = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR'22)},
keywords = {AI Security, Deep Learning, Deep Learning Theory},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Khalid, Umar; Esmaeili, Ashkan; Karim, Nazmul; Rahnavard, Nazanin RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection Conference 2022. @conference{nokey,
title = {RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection},
author = {Umar Khalid and Ashkan Esmaeili and Nazmul Karim and Nazanin Rahnavard},
editor = {IEEE Computer Vision and Pattern Recognition Workshops (CVPRW'22)},
url = {https://lcwnlab.eecs.ucf.edu/wp-content/uploads/2022/04/2022_RODD_CVPRW_Umar.pdf},
year = {2022},
date = {2022-06-01},
urldate = {2022-06-01},
journal = {IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPR'22) },
keywords = {AI Security, Deep Learning, Deep Learning Theory},
pubstate = {published},
tppubtype = {conference}
}
|
Khalid, Umar; Karim, Nazmul; Rahnavard, Nazanin RF Signal Transformation and Classification using Deep Neural Networks Conference SPIE Defense Commercial Sensing, 2022. @conference{nokey,
title = {RF Signal Transformation and Classification using Deep Neural Networks},
author = {Umar Khalid and Nazmul Karim and Nazanin Rahnavard},
url = {https://lcwnlab.eecs.ucf.edu/wp-content/uploads/2022/04/2022_RF_Signal_classification_SPIE_Umar.pdf
https://github.com/UmarKhalidcs/RF_Classification},
year = {2022},
date = {2022-04-04},
urldate = {2022-04-04},
booktitle = {SPIE Defense Commercial Sensing},
keywords = {Deep Learning, Wireless Communication},
pubstate = {published},
tppubtype = {conference}
}
|
2021
|
Vukovich, Katarina; Hejazi, Farzam; Rahnavard, Nazanin MAP-CSI: Single-site Map-Assisted Localization Using Massive MIMO CSI Conference IEEE Global Communications Conference (GLOBECOM), 2021. @conference{nokey,
title = {MAP-CSI: Single-site Map-Assisted Localization Using Massive MIMO CSI},
author = {Vukovich, Katarina and Hejazi, Farzam and Rahnavard, Nazanin },
url = {https://lcwnlab.eecs.ucf.edu/wp-content/uploads/2021/10/MAP_CSI_2021.pdf
https://www.youtube.com/watch?v=o8t5v6HAeks&t=18s},
year = {2021},
date = {2021-10-01},
urldate = {2021-10-01},
booktitle = {IEEE Global Communications Conference (GLOBECOM)},
keywords = {Deep Learning, Localization, MIMO, REM, Wireless Communication},
pubstate = {published},
tppubtype = {conference}
}
|
Zaeemzadeh, Alireza; Ghadar, Shabnam; Faieta, Baldo; Lin, Zhe; Rahnavard, Nazanin; Mubarak Shah,; Kalarot, Ratheesh Face Image Retrieval with Attribute Manipulation Conference 2021 IEEE International Conference on Computer Vision (ICCV) 2021. @conference{nokey,
title = {Face Image Retrieval with Attribute Manipulation },
author = {Zaeemzadeh, Alireza and Ghadar, Shabnam and Faieta, Baldo and Lin, Zhe and Rahnavard, Nazanin and Shah, Mubarak, and Kalarot, Ratheesh },
url = {https://lcwnlab.eecs.ucf.edu/wp-content/uploads/2021/09/2021_ICCV_Face_Image_Retrieval_with_Attribute_Manipulation-2.pdf
https://lcwnlab.eecs.ucf.edu/wp-content/uploads/2021/09/2021_ICCV_Face_Image_Retrieval_with_Attribute_Manipulation_supplimental-2.pdf
},
year = {2021},
date = {2021-08-30},
urldate = {2021-08-30},
organization = {2021 IEEE International Conference on Computer Vision (ICCV) },
keywords = {computer vision, Deep Learning},
pubstate = {published},
tppubtype = {conference}
}
|
Edraki, Marzieh; Nazmul Karim, Rahnavard; Mian, Ajmal; Shah, Mubarak Odyssey: Creation, Analysis and Detection of Trojan Models Journal Article In: IEEE Trans. on Information Forensics and Security, 2021. @article{nokey,
title = {Odyssey: Creation, Analysis and Detection of Trojan Models},
author = {Edraki, Marzieh and Karim, Nazmul, Rahnavard, Nazanin and Mian, Ajmal and Shah, Mubarak },
url = {https://lcwnlab.eecs.ucf.edu/wp-content/uploads/2021/10/2021_Odyssey_Marzieh_Nazmul_TIFS.pdf
https://github.com/LCWN-Lab/Odyssey
},
year = {2021},
date = {2021-08-30},
urldate = {2021-08-30},
journal = {IEEE Trans. on Information Forensics and Security},
keywords = {AI Security, Deep Learning},
pubstate = {published},
tppubtype = {article}
}
|
Zhang, X.; Gupta, R.; Mian, A.; Rahnavard, N.; Shah, M. Cassandra: Detecting Trojaned Networks from Adversarial Perturbations Journal Article In: IEEE Access, vol. 9, pp. 135856-135867, 2021. @article{nokey,
title = {Cassandra: Detecting Trojaned Networks from Adversarial Perturbations},
author = {X. Zhang and R. Gupta and A. Mian and N. Rahnavard and M. Shah},
url = {https://lcwnlab.eecs.ucf.edu/wp-content/uploads/2022/04/2021_Cassandra_Detecting_Trojaned_Networks_From_Adversarial_Perturbations.pdf},
year = {2021},
date = {2021-07-30},
urldate = {2021-07-30},
journal = {IEEE Access},
volume = {9},
pages = {135856-135867},
keywords = {AI Security, Deep Learning},
pubstate = {published},
tppubtype = {article}
}
|
Zaeemzadeh, Alireza; Bisagno, N; Conci, N.; Rahnavard, Nazanin; Shah, Mubarak Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces Conference IEEE Conference on Computer Vision and Pattern Recognition (CVPR'21). 2021. @conference{Zaeemzadeh_cvpr21,
title = {Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces},
author = {Zaeemzadeh, Alireza and Bisagno, N and Conci, N. and Rahnavard, Nazanin and Shah, Mubarak},
url = {https://lcwnlab.eecs.ucf.edu/wp-content/uploads/2021/09/Out-of-Distribution-Detection-Using-Union-of-1-Dimensional-Subspaces.pdf
https://lcwnlab.eecs.ucf.edu/wp-content/uploads/2021/09/Out-of-Distribution-Detection-Using-Union-of-1-Dimensional-Subspaces_Supp.pdf
https://lcwnlab.eecs.ucf.edu/wp-content/uploads/2021/09/CVPR-2021_-presentation-2-1.pdf
https://lcwnlab.eecs.ucf.edu/wp-content/uploads/2021/09/CVPR21_presentation_video.mp4},
year = {2021},
date = {2021-06-01},
urldate = {2021-06-01},
organization = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR'21). },
keywords = {AI Security, Deep Learning},
pubstate = {published},
tppubtype = {conference}
}
|
Hejazi, Farzam; Vuckovic, Katarina; Rahnavard, Nazanin DyLoc: Dynamic Localization for Massive MIMO Using Predictive Recurrent Neural Networks Journal Article In: IEEE INFOCOM, 2021. @article{HajaziV2021,
title = {DyLoc: Dynamic Localization for Massive MIMO Using Predictive Recurrent Neural Networks},
author = {Hejazi, Farzam and Vuckovic, Katarina and Rahnavard, Nazanin},
url = {http://lcwnlab.eecs.ucf.edu/wp-content/uploads/2021/04/2021INFOCOM_DyLoc_Farzam.pdf},
year = {2021},
date = {2021-05-01},
urldate = {2021-05-01},
journal = {IEEE INFOCOM},
keywords = {Deep Learning, Localization, Wireless Communication},
pubstate = {published},
tppubtype = {article}
}
|
2020
|
Joneidi, Mohsen; Vahidian, Saeed; Esmaeili, Ashkan; Wang, Wijia; Rahnavard, Nazanin; Lin, Bill; Shah, Mubarak Select to Better Learn: Fast and Accurate Deep Learning using Data Selection from Nonlinear Manifolds Conference IEEE Conference on Computer Vision and Pattern Recognition (CVPR '20) 2020. @conference{Joneidi2020b,
title = {Select to Better Learn: Fast and Accurate Deep Learning using Data Selection from Nonlinear Manifolds},
author = {Joneidi, Mohsen and Vahidian, Saeed and Esmaeili, Ashkan and Wang, Wijia and Rahnavard, Nazanin and Lin, Bill and Shah, Mubarak},
url = {http://lcwnlab.eecs.ucf.edu/wp-content/uploads/2020/04/CVPR__UCSD_UCF_2020-2.pdf
https://github.com/cvpr4942/CVPR-2020-Conf.git},
year = {2020},
date = {2020-06-19},
urldate = {2020-06-19},
organization = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR '20)},
keywords = {Active Learning, Data Selection, Deep Learning, Few Shot Learning, Generative Adversarial Networks, Graph Summarization, Openset Detection, REM, Representative Selection},
pubstate = {published},
tppubtype = {conference}
}
|
Zaeemzadeh, Alireza; Rahnavard, Nazanin; Shah, Mubarak Norm-Preservation: Why Residual Networks Can Become Extremely Deep? Journal Article In: IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 2020. @article{Zaeemzadeh2018cb,
title = { Norm-Preservation: Why Residual Networks Can Become Extremely Deep?},
author = {Zaeemzadeh, Alireza and Rahnavard, Nazanin and Shah, Mubarak},
url = {http://lcwnlab.eecs.ucf.edu/wp-content/uploads/2020/07/2020_Norm_Preserving_PAMI_Alireza.pdf
https://arxiv.org/abs/1805.07477},
year = {2020},
date = {2020-05-15},
journal = {IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI)},
keywords = {Deep Learning, Deep Learning Theory, REM},
pubstate = {published},
tppubtype = {article}
}
|
Joneidi, Mohsen; Alkhouri, Ismail; Hejazikookamari, Farzam; Rahnavard, Nazanin Large-Scale Spectrum Occupancy Learning via Tensor Decomposition and LSTM Networks Conference IEEE 2020 International RADAR Conference 2020. @conference{Joneidi2020,
title = {Large-Scale Spectrum Occupancy Learning via Tensor Decomposition and LSTM Networks},
author = {Joneidi, Mohsen and Alkhouri, Ismail and Hejazikookamari, Farzam and Rahnavard, Nazanin},
url = {http://lcwnlab.eecs.ucf.edu/wp-content/uploads/2020/07/2020_RADAR_Ismail.pdf},
year = {2020},
date = {2020-04-27},
urldate = {2020-04-27},
organization = {IEEE 2020 International RADAR Conference},
keywords = {Cognitive Radio Networks, Deep Learning, REM, Spectrum Sensing, Tensor Analysis, Wireless Communication, Wireless Networks},
pubstate = {published},
tppubtype = {conference}
}
|
Marzieh, Edraki; Rahnavard, Nazanin; Shah, Mubarak Subspace Capsule Network Conference AAAI Conference on Artificial Intelligence 2020. @conference{Marzieh2020,
title = {Subspace Capsule Network},
author = {Marzieh, Edraki and Rahnavard, Nazanin and Shah, Mubarak},
url = {http://lcwnlab.eecs.ucf.edu/wp-content/uploads/2020/04/2020_SCN_AAAI_Marzieh-1.pdf},
year = {2020},
date = {2020-01-26},
organization = {AAAI Conference on Artificial Intelligence},
keywords = {Deep Learning, Generative Adversarial Networks, Image Classification, Image Generation},
pubstate = {published},
tppubtype = {conference}
}
|
2019
|
Karim, Md Nazmul; Zaeemzadeh, Alireza; Rahnavard, Nazanin RL-NCS: Learning Based Data-driven Approach for Online Non-uniform Compressive Sensing Conference IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP), PA, 2019. @conference{Karim2019,
title = {RL-NCS: Learning Based Data-driven Approach for Online Non-uniform Compressive Sensing},
author = {Karim, Md Nazmul and Zaeemzadeh, Alireza and Rahnavard, Nazanin},
url = {http://lcwnlab.eecs.ucf.edu/wp-content/uploads/2019/12/2019_MLSP_ANCS_NAZMUL.pdf
http://lcwnlab.eecs.ucf.edu/wp-content/uploads/2019/12/2019_MLSP_ANCS_Poster_Nazmul.pdf},
year = {2019},
date = {2019-10-04},
booktitle = {IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP)},
pages = {1-6},
address = {PA},
keywords = {CCSS, Compressive Sensing, Compressive Sensing Application, Deep Learning, LSTM, Reinforcement Learning, REM},
pubstate = {published},
tppubtype = {conference}
}
|
Taheri Sadr, Mojtaba; Joneidi, Mohsen; Rahnavard, Nazanin EEG Signal Dimensionality Reduction and Classification using Tensor Decomposition and Deep Convolutional Neural Networks Conference IEEE 29th International Workshop on Machine learning for Signal Processing (MLSP), 2019. @conference{Sadr2019,
title = {EEG Signal Dimensionality Reduction and Classification using Tensor Decomposition and Deep Convolutional Neural Networks},
author = {Taheri Sadr, Mojtaba and Joneidi, Mohsen and Rahnavard, Nazanin},
url = {http://lcwnlab.eecs.ucf.edu/wp-content/uploads/2019/12/2019_MLSP_NSF_Mojtaba.pdf.pdf
http://lcwnlab.eecs.ucf.edu/wp-content/uploads/2019/12/2019_MLSP_NSF_Mojtaba_poster.pdf},
year = {2019},
date = {2019-10-04},
booktitle = {IEEE 29th International Workshop on Machine learning for Signal Processing (MLSP)},
pages = {1-6},
keywords = {Classification, Deep Learning, EEG Signal, REM, Tensor Analysis},
pubstate = {published},
tppubtype = {conference}
}
|
Zaeemzadeh, Alireza; Joneidi, Mohsen; Rahnavard, Nazanin; Shah, Mubarak Iterative Projection and Matching: Finding Structure-preserving Representatives and Its Application to Computer Vision Conference IEEE Conference on Computer Vision and Pattern Recognition (CVPR '19), Long Beach, CA, 2019. @conference{Zaeemzadeh2018d,
title = { Iterative Projection and Matching: Finding Structure-preserving Representatives and Its Application to Computer Vision},
author = {Zaeemzadeh, Alireza and Joneidi, Mohsen and Rahnavard, Nazanin and Shah, Mubarak},
url = {http://lcwnlab.eecs.ucf.edu/wp-content/uploads/2019/12/2019_CVPR_IPM_Alireza_poster_ppt.pdf
http://lcwnlab.eecs.ucf.edu/wp-content/uploads/2019/12/2019_CVPR_IPM_Alireza.pdf
https://arxiv.org/abs/1811.12326
https://github.com/zaeemzadeh/Active-Learning-UCF101-IPM
https://github.com/zaeemzadeh/IPM},
year = {2019},
date = {2019-06-00},
pages = {pp. 5414-5423},
publisher = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR '19)},
address = {Long Beach, CA},
keywords = {Active Learning, Data Selection, Deep Learning, Generative Adversarial Networks, REM, Representative Selection, Video Summarization},
pubstate = {published},
tppubtype = {conference}
}
|
