Hayat, Munawar

Transformers in Vision: A Survey

Khan, S., Naseer, M., Hayat, M., Zamir, S. W., Khan, F. S., & Shah, M. (2022) · ACM Computing Surveys

Advanced Neural Network ApplicationsMultimodal Machine Learning Applications

Cited by 3,595

Transformers in Vision: A Survey

Khan, S., Naseer, M., Hayat, M., Zamir, S. W., Khan, F. S., & Shah, M. (2021) · arXiv

Advanced Neural Network ApplicationsMultimodal Machine Learning Applications

Cited by 3,594

Intriguing Properties of Vision Transformers

Naseer, M., Ranasinghe, K., Khan, S., Hayat, M., Khan, F. S., & Yang, M.-H. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 431

Striking the Right Balance With Uncertainty

Khan, S., Hayat, M., Zamir, S. W., Shen, J., & Shao, L. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Imbalanced Data Classification TechniquesMachine Learning and Data Classification

Cited by 180

Do You Really Mean That? Content Driven Audio-Visual Deepfake Dataset and Multimodal Method for Temporal Forgery Localization

Cai, Z., Stefanov, K., Dhall, A., & Hayat, M. (2022) · 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 99

Glitch in the matrix: A large scale benchmark for content driven audio–visual forgery detection and localization

Cai, Z., Ghosh, S., Dhall, A., Gedeon, T., Stefanov, K., & Hayat, M. (2023) · Computer Vision and Image Understanding

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 63

AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake Dataset

Cai, Z., Ghosh, S., Adatia, A. P., Hayat, M., Dhall, A., Gedeon, T., & Stefanov, K. (2023) · arXiv

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 59

AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake Dataset

Cai, Z., Ghosh, S., Adatia, A. P., Hayat, M., Dhall, A., Gedeon, T., & Stefanov, K. (2024) · Proceedings of the 32nd ACM International Conference on Multimedia

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 59

Context-aware Alignment and Mutual Masking for 3D-Language Pre-training

Jin, Z., Hayat, M., Yang, Y., Guo, Y., & Lei, Y. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning Applications3D Shape Modeling and Analysis

Cited by 56

Synthesis of a six-bar mechanism for generating knee and ankle motion trajectories using deep generative neural network

Kapsalyamov, A., Hussain, S., Brown, N. A. T., Goecke, R., Hayat, M., & Jamwal, P. K. (2023) · Engineering Applications of Artificial Intelligence

Prosthetics and Rehabilitation RoboticsRobotic Mechanisms and Dynamics

Cited by 45

Clustering of video-patches on Grassmannian manifold for facial expression recognition from 3D videos

Hayat, M., Bennamoun, M., & El-Sallam, A. A. (2013) · 2013 IEEE Workshop on Applications of Computer Vision (WACV)

Face and Expression RecognitionFace recognition and analysis

Cited by 14