팔로우
Awais Rauf
Awais Rauf
다른 이름Muhammad Awais, Awais Muhammad
Queen Mary University London, Prev: MBZUAI, SonyAI, AI Theory Group, Huawei
huawei.com의 이메일 확인됨 - 홈페이지
제목
인용
인용
연도
Foundational models defining a new era in vision: A survey and outlook
M Awais, M Naseer, S Khan, RM Anwer, H Cholakkal, M Shah, MH Yang, ...
TPAMI - IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
1342023
Revisiting Internal Covariate Shift for Batch Normalization
M Awais, B Md Tauhid Bin, Iqbal, and Sung-Ho
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020
942020
Adversarial robustness for unsupervised domain adaptation
M Awais, F Zhou, H Xu, L Hong, P Luo, SH Bae, Z Li
ICCV -- Proceedings of the IEEE/CVF International Conference on Computer …, 2021
442021
Leveraging big data for politics: predicting general election of Pakistan using a novel rigged model
M Awais, SU Hassan, A Ahmed
Journal of Ambient Intelligence and Humanized Computing 12 (4), 4305-4313, 2021
272021
Towards an adversarially robust normalization approach
M Awais, F Shamshad, SH Bae
arXiv preprint arXiv:2006.11007, 2020
272020
A survey on efficient methods for adversarial robustness
A Muhammad, SH Bae
IEEE Access 10, 118815-118830, 2022
232022
MixACM: Mixup-based robustness transfer via distillation of activated channel maps
A Muhammad, F Zhou, C Xie, J Li, SH Bae, Z Li
NeurIPS -- Advances in Neural Information Processing Systems, 2021 34, 4555-4569, 2021
192021
ZooD: Exploiting model zoo for out-of-distribution generalization
Q Dong, A Muhammad, F Zhou, C Xie, T Hu, Y Yang, SH Bae, Z Li
NeurIPS -- Advances in Neural Information Processing Systems, 2022 35, 31583 …, 2022
172022
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 International Conference on Computer Vision …, 2019
102019
Leveraging Deep Stein's Unbiased Risk Estimator for Unsupervised X-ray Denoising
F Shamshad, M Awais, M Asim, M Umair, A Ahmed
NeurIPSw -- Conference on Neural Information Processing Systems Workshops, 2019, 2018
9*2018
Adversarial attacks and batch normalization: a batch statistics perspective
A Muhammad, F Shamshad, SH Bae
IEEE Access 11, 96449-96459, 2023
52023
Introducing Data mining for Predicting trends in School Education of Pakistan: Preliminary results and Future Directions
MA Muhammad Asim, Fahad Shamshad
ICTD - International Conference on Information & Communication Technologies …, 2017
5*2017
BAPLe: Backdoor Attacks on Medical Foundational Models using Prompt Learning
A Hanif, F Shamshad, M Awais, M Naseer, FS Khan, K Nandakumar, ...
MICCAI -- International Conference on Medical Image Computing and Computer …, 2024
42024
G-SHARP: Globally Shared Kernel with Pruning for Efficient CNNs
E Shin, I Cho, A Muhammad, AFMS Uddin, YH Jang, SH Bae
ICASSP -- IEEE International Conference on Acoustics, Speech and Signal …, 2024
22024
AgriCLIP: Adapting CLIP for Agriculture and Livestock via Domain-Specialized Cross-Model Alignment
U Nawaz, M Awais, H Gani, M Naseer, F Khan, S Khan, RM Anwer
COLING: International Conference on Computational Linguistics, 2024
12024
AgroGPT: Efficient Agricultural Vision-Language Model with Expert Tuning
M Awais, AHSA Alharthi, A Kumar, H Cholakkal, RM Anwer
WACV -- IEEE/CVF Winter Conference on Applications of Computer Vision, 2025, 2024
2024
Efficient 3D-Aware Facial Image Editing via Attribute-Specific Prompt Learning
A Kumar*, M Awais*, S Narayan, H Cholakkal, S Khan, RM Anwer
ECCV -- European Conference on Computer Vision, 2024, 2024
2024
Adversarial Robustness for Unsupervised Domain Adaptation
A Muhammad, Z Fengwei, X Hang, H Lanqing, L Ping, B Sung-Ho, ...
International Conference on Computer Vision (ICCV), 2021, 2021
2021
Predicting Soil Chemical Properties with Machine Learning
M Awais, F Shmashad, SH Bae
한국정보과학회 학술발표논문집, 1554-1556, 2019
2019
Supplementary Material Adversarial Robustness for Unsupervised Domain Adaptation
M Awais, F Zhou, H Xu, L Hong, P Luo, SH Bae, Z Li
현재 시스템이 작동되지 않습니다. 나중에 다시 시도해 주세요.
학술자료 1–20