Fahad Shamshad

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Salman KhanMBZUAI, Australian National UniversityVerified email at anu.edu.au
Fahad Shahbaz KhanMBZUAI, Linköping University SwedenVerified email at cvc.uab.es
Muhammad Haris KhanFaculty at Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI) - UAEVerified email at mbzuai.ac.ae
Muhammad AsimInformation Technology University Lahore, PakistanVerified email at itu.edu.pk
Huazhu FuIHPC, A*STARVerified email at ieee.org
Syed Waqas ZamirResearch Scientist at IIAIVerified email at upf.edu
Siddique LatifQueensland University of Technology, AustraliaVerified email at qut.edu.au
Karthik NandakumarMichigan State University, Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI)Verified email at msu.edu
Junaid QadirProfessor of Computer Engineering, Qatar University (QU)Verified email at qu.edu.qa
Erik CambriaProfessor of Computing and Data Science, NTU SingaporeVerified email at ntu.edu.sg
Muzammal NaseerAsst. Professor, Khalifa UniversityVerified email at ku.ac.ae
Sung-Ho BaeAssociate Professor, Kyung Hee University, School of ComputingVerified email at khu.ac.kr
Farwa AbbasImperial College LondonVerified email at imperial.ac.uk
Mohammed BennamounWinthrop Professor - University of Western AustraliaVerified email at uwa.edu.au
Waqas SultaniInformation Technology University, PakistanVerified email at itu.edu.pk
Björn SchullerProfessor, Technische Universität München (TUM) / Imperial College London & CSO, audEERINGVerified email at tum.de
Yi Ren (任意)Research Scientist, TiktokVerified email at bytedance.com
Wenwu WangProfessor, University of Surrey, UKVerified email at surrey.ac.uk
Roberto TogneriThe University of Western AustraliaVerified email at uwa.edu.au
Koushik SrivatsanPHD @ Johns Hopkins UniversityVerified email at mbzuai.ac.ae

Fahad Shamshad

MBZUAI

Verified email at mbzuai.ac.ae - Homepage

AI Safety Generative AI Multimodal AI Deepfakes Medical Imaging


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Transformers in medical imaging: A survey F Shamshad, S Khan, SW Zamir, MH Khan, M Hayat, FS Khan, H Fu Medical Image Analysis 88, 102802, 2023	732	2023
Blind image deconvolution using deep generative priors M Asim, F Shamshad, A Ahmed IEEE Transactions on Computational Imaging 6, 1493-1506, 2020	141*	2020
A survey on deep reinforcement learning for audio-based applications S Latif, H Cuayáhuitl, F Pervez, F Shamshad, HS Ali, E Cambria Artificial Intelligence Review 56 (3), 2193-2240, 2023	94	2023
Untrained neural network priors for inverse imaging problems: A survey A Qayyum, I Ilahi, F Shamshad, F Boussaid, M Bennamoun, J Qadir IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (5), 6511-6536, 2022	81	2022
Transformers in speech processing: A survey S Latif, A Zaidi, H Cuayahuitl, F Shamshad, M Shoukat, J Qadir arXiv preprint arXiv:2303.11607, 2023	66	2023
Compressed sensing-based robust phase retrieval via deep generative priors F Shamshad, A Ahmed IEEE Sensors Journal 21 (2), 2286-2298, 2020	62*	2020
Deep ptych: Subsampled fourier ptychography using generative priors F Shamshad, F Abbas, A Ahmed ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019	46	2019
Sparks of large audio models: A survey and outlook S Latif, M Shoukat, F Shamshad, M Usama, Y Ren, H Cuayáhuitl, W Wang, ... arXiv preprint arXiv:2308.12792, 2023	33	2023
Towards an adversarially robust normalization approach M Awais, F Shamshad, SH Bae arXiv preprint arXiv:2006.11007, 2020	31*	2020
Transformers in medical imaging: A survey. arXiv 2022 F Shamshad, S Khan, SW Zamir, MH Khan, M Hayat, FS Khan, H Fu arXiv preprint arXiv:2201.09873, 0	31
CLIP2Protect: Protecting Facial Privacy using Text-Guided Makeup via Adversarial Latent Search F Shamshad, M Naseer, K Nandakumar Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	26	2023
Single-shot retinal image enhancement using untrained and pretrained neural networks priors integrated with analytical image priors A Qayyum, W Sultani, F Shamshad, R Tufail, J Qadir Computers in Biology and Medicine 148, 105879, 2022	18	2022
Single-shot retinal image enhancement using deep image priors A Qayyum, W Sultani, F Shamshad, J Qadir, R Tufail Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020	12	2020
Adaptive ptych: Leveraging image adaptive generative priors for subsampled fourier ptychography F Shamshad, A Hanif, F Abbas, M Awais, A Ahmed Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	10	2019
Evading Forensic Classifiers with Attribute-Conditioned Adversarial Faces F Shamshad, K Srivatsan, K Nandakumar Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	8	2023
Subsampled Fourier ptychography via pretrained invertible and untrained network priors F Shamshad, A Hanif, A Ahmed NeurIPS 2019 Workshop on Solving Inverse Problems with Deep Networks, 2019	8	2019
Transformers in medical imaging: a survey. 2022 F Shamshad, S Khan, SW Zamir, MH Khan, M Hayat, FS Khan, H Fu arXiv preprint arXiv:2201.09873, 0	7
Blind image deconvolution using pretrained generative priors M Asim, F Shamshad, A Ahmed arXiv preprint arXiv:1908.07404, 2019	6	2019
Patchdip exploiting patch redundancy in deep image prior for denoising M Asim, F Shamshad, A Ahmed NeurIPS 2019 Workshop on Solving Inverse Problems with Deep Networks, 2019	5	2019
Introducing Data mining for Predicting trends in School Education of Pakistan: Preliminary results and future directions M Asim, F Shamshad, M Awais, A Ahmed Proceedings of the Ninth International Conference on Information and …, 2017	5	2017

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