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2022

Hejazi, Farzam; Vuckovic, Katarina; Rahnavard, Nazanin

Spectrum Shaping For Multiple Link Discovery in 6G THz Systems Journal Article

In: 2022.

BibTeX | Tags: Deep Learning, Wireless Communication

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.

Links | BibTeX | Tags: Deep Learning

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.

Links | BibTeX | Tags: AI Security, Deep Learning, Deep Learning Theory

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.

Links | BibTeX | Tags: AI Security, Deep Learning, Deep Learning Theory

Khalid, Umar; Esmaeili, Ashkan; Karim, Nazmul; Rahnavard, Nazanin

RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection Conference

2022.

Links | BibTeX | Tags: AI Security, Deep Learning, Deep Learning Theory

Khalid, Umar; Karim, Nazmul; Rahnavard, Nazanin

RF Signal Transformation and Classification using Deep Neural Networks Conference

SPIE Defense Commercial Sensing, 2022.

Links | BibTeX | Tags: Deep Learning, Wireless Communication

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.

Links | BibTeX | Tags: Deep Learning, Localization, MIMO, REM, Wireless Communication

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.

Links | BibTeX | Tags: computer vision, Deep Learning

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.

Links | BibTeX | Tags: AI Security, Deep Learning

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.

Links | BibTeX | Tags: AI Security, Deep Learning

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.

Links | BibTeX | Tags: AI Security, Deep Learning

Hejazi, Farzam; Vuckovic, Katarina; Rahnavard, Nazanin

DyLoc: Dynamic Localization for Massive MIMO Using Predictive Recurrent Neural Networks Journal Article

In: IEEE INFOCOM, 2021.

Links | BibTeX | Tags: Deep Learning, Localization, Wireless Communication

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.

Links | BibTeX | Tags: Active Learning, Data Selection, Deep Learning, Few Shot Learning, Generative Adversarial Networks, Graph Summarization, Openset Detection, REM, Representative Selection

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.

Links | BibTeX | Tags: Deep Learning, Deep Learning Theory, REM

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.

Links | BibTeX | Tags: Cognitive Radio Networks, Deep Learning, REM, Spectrum Sensing, Tensor Analysis, Wireless Communication, Wireless Networks

Marzieh, Edraki; Rahnavard, Nazanin; Shah, Mubarak

Subspace Capsule Network Conference

AAAI Conference on Artificial Intelligence 2020.

Links | BibTeX | Tags: Deep Learning, Generative Adversarial Networks, Image Classification, Image Generation

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.

Links | BibTeX | Tags: CCSS, Compressive Sensing, Compressive Sensing Application, Deep Learning, LSTM, Reinforcement Learning, REM

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.

Links | BibTeX | Tags: Classification, Deep Learning, EEG Signal, REM, Tensor Analysis

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.

Links | BibTeX | Tags: Active Learning, Data Selection, Deep Learning, Generative Adversarial Networks, REM, Representative Selection, Video Summarization