Fahad Shamshad

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 30

Top Topics

Blind Image Deconvolution

Inverse Problems

Top Venues

Publications

Hashmat Shadab Malik, Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar, Fahad Shahbaz Khan, Salman H. Khan
Towards Evaluating the Robustness of Visual State Space Models. CoRR (2024)
Siddique Latif, Moazzam Shoukat, Fahad Shamshad, Muhammad Usama, Heriberto Cuayáhuitl, Björn W. Schuller
Sparks of Large Audio Models: A Survey and Outlook. CoRR (2023)
Adnan Qayyum, Inaam Ilahi, Fahad Shamshad, Farid Boussaïd, Mohammed Bennamoun, Junaid Qadir
Untrained Neural Network Priors for Inverse Imaging Problems: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar
CLIP2Protect: Protecting Facial Privacy using Text-Guided Makeup via Adversarial Latent Search. CoRR (2023)
Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar
CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search. CVPR (2023)
Fahad Shamshad, Koushik Srivatsan, Karthik Nandakumar
Evading Forensic Classifiers with Attribute-Conditioned Adversarial Faces. CVPR (2023)
Siddique Latif, Aun Zaidi, Heriberto Cuayáhuitl, Fahad Shamshad, Moazzam Shoukat, Junaid Qadir
Transformers in Speech Processing: A Survey. CoRR (2023)
Siddique Latif, Heriberto Cuayáhuitl, Farrukh Pervez, Fahad Shamshad, Hafiz Shehbaz Ali, Erik Cambria
A survey on deep reinforcement learning for audio-based applications. Artif. Intell. Rev. 56 (3) (2023)
Fahad Shamshad, Koushik Srivatsan, Karthik Nandakumar
Evading Forensic Classifiers with Attribute-Conditioned Adversarial Faces. CoRR (2023)
Muhammad Awais, Fahad Shamshad, Sung-Ho Bae
Adversarial Attacks and Batch Normalization: A Batch Statistics Perspective. IEEE Access 11 (2023)
Fahad Shamshad, Salman H. Khan, Syed Waqas Zamir, Muhammad Haris Khan, Munawar Hayat, Fahad Shahbaz Khan, Huazhu Fu
Transformers in medical imaging: A survey. Medical Image Anal. 88 (2023)
Ali Ahmed, Fahad Shamshad, Humera Hameed
Sub-Nyquist sampling of sparse and correlated signals in array processing. Digit. Signal Process. 140 (2023)
Adnan Qayyum, Waqas Sultani, Fahad Shamshad, Rashid Tufail, Junaid Qadir
Single-shot retinal image enhancement using untrained and pretrained neural networks priors integrated with analytical image priors. Comput. Biol. Medicine 148 (2022)
Fahad Shamshad, Salman Khan, Syed Waqas Zamir, Muhammad Haris Khan, Munawar Hayat, Fahad Shahbaz Khan, Huazhu Fu
Transformers in Medical Imaging: A Survey. CoRR (2022)
Siddique Latif, Heriberto Cuayáhuitl, Farrukh Pervez, Fahad Shamshad, Hafiz Shehbaz Ali, Erik Cambria
A Survey on Deep Reinforcement Learning for Audio-Based Applications. CoRR (2021)
Muhammad Awais, Fahad Shamshad, Sung-Ho Bae
Towards an Adversarially Robust Normalization Approach. CoRR (2020)
Adnan Qayyum, Waqas Sultani, Fahad Shamshad, Junaid Qadir, Rashid Tufail
Single-Shot Retinal Image Enhancement Using Deep Image Priors. MICCAI (5) (2020)
Fahad Shamshad, Asif Hanif, Ali Ahmed
Subsampled Fourier Ptychography using Pretrained Invertible and Untrained Network Priors. CoRR (2020)
Fahad Shamshad, Ali Ahmed
Class-Specific Blind Deconvolutional Phase Retrieval Under a Generative Prior. CoRR (2020)
Muhammad Asim, Fahad Shamshad, Ali Ahmed
Blind Image Deconvolution Using Deep Generative Priors. IEEE Trans. Computational Imaging 6 (2020)
Fahad Shamshad, Asif Hanif, Farwa Abbas, Muhammad Awais, Ali Ahmed
Adaptive Ptych: Leveraging Image Adaptive Generative Priors for Subsampled Fourier Ptychography. ICCV Workshops (2019)
Muhammad Asim, Fahad Shamshad, Ali Ahmed
Blind Image Deconvolution using Pretrained Generative Priors. CoRR (2019)
Muhammad Asim, Fahad Shamshad, Ali Ahmed
Blind Image Deconvolution using Pretrained Generative Priors. BMVC (2019)
Fahad Shamshad, Farwa Abbas, Ali Ahmed
Deep Ptych: Subsampled Fourier Ptychography Using Generative Priors. ICASSP (2019)
Ali Ahmed, Fahad Shamshad
Sub-Nyquist Sampling of Sparse and Correlated Signals in Array Processing. CoRR (2019)
Muhammad Asim, Fahad Shamshad, Ali Ahmed
Solving Bilinear Inverse Problems using Deep Generative Priors. CoRR (2018)
Fahad Shamshad, Farwa Abbas, Ali Ahmed
Deep Ptych: Subsampled Fourier Ptychography using Generative Priors. CoRR (2018)
Fahad Shamshad, Muhammad Awais, Muhammad Asim, Zain ul Aabidin Lodhi, Muhammad Umair, Ali Ahmed
Leveraging Deep Stein's Unbiased Risk Estimator for Unsupervised X-ray Denoising. CoRR (2018)
Fahad Shamshad, Ali Ahmed
Robust Compressive Phase Retrieval via Deep Generative Priors. CoRR (2018)
Muhammad Asim, Fahad Shamshad, Muhammad Awais, Ali Ahmed
Introducing Data mining for Predicting trends in School Education of Pakistan: Preliminary results and Future Directions. ICTD (2017)