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Computer Science

D-Index
40
Citations
13703
World Ranking
9048
National Ranking
279

Overview

Munawar Hayat is affiliated with Monash University in Australia and specializes in the field of Computer Science, with a focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Media Technology, and Human-Computer Interaction.

Their research covers a range of topics including:

  • Advanced Image Processing Techniques
  • Advanced Neural Network Applications
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Human Pose and Action Recognition
  • Generative Adversarial Networks and Image Synthesis
  • Image and Signal Denoising Methods

Munawar Hayat has contributed to various publication venues with frequent publications in:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Medical Image Analysis

Recent papers by Munawar Hayat include:

  • Restormer: Efficient Transformer for High-Resolution Image Restoration, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Transformers in medical imaging: A survey, 2023, Medical Image Analysis
  • Learning Enriched Features for Fast Image Restoration and Enhancement, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Intriguing Properties of Vision Transformers, 2021, arXiv (Cornell University)
  • Restormer: Efficient Transformer for High-Resolution Image Restoration, 2021, arXiv (Cornell University)

The scientist has collaborated frequently with several co-authors, including:

  • Fahad Shahbaz Khan
  • Syed Waqas Zamir
  • Abhinav Dhall
  • Salman Khan
  • Aditya Arora

Best Publications

  • Restormer: Efficient Transformer for High-Resolution Image Restoration

    Unknown

  • Multi-Stage Progressive Image Restoration

    Syed Waqas Zamir;Aditya Arora;Salman Khan;Munawar Hayat

  • Transformers in Medical Imaging: A Survey

    Unknown

  • Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data

    Salman H. Khan;Munawar Hayat;Mohammed Bennamoun;Ferdous A. Sohel

  • Learning Enriched Features for Real Image Restoration and Enhancement

    Syed Waqas Zamir;Aditya Arora;Salman H. Khan;Munawar Hayat

  • Learning Enriched Features for Fast Image Restoration and Enhancement

    Unknown

  • CycleISP: Real Image Restoration via Improved Data Synthesis

    Syed Waqas Zamir;Aditya Arora;Salman Khan;Munawar Hayat

  • Intriguing Properties of Vision Transformers

    Muhammad Muzammal Naseer;Kanchana Ranasinghe;Salman H. Khan;Munawar Hayat

  • Intriguing Properties of Vision Transformers

    Muzammal Naseer;Kanchana Ranasinghe;Salman Khan;Munawar Hayat

  • A Self-supervised Approach for Adversarial Robustness

    Muzammal Naseer;Salman Khan;Munawar Hayat;Fahad Shahbaz Khan

  • Transformers in Vision: A Survey

    Salman H. Khan;Muzammal Naseer;Munawar Hayat;Syed Waqas Zamir

  • Deep Reconstruction Models for Image Set Classification

    Munawar Hayat;Mohammed Bennamoun;Senjian An

  • Restormer: Efficient Transformer for High-Resolution Image Restoration.

    Syed Waqas Zamir;Aditya Arora;Salman H. Khan;Munawar Hayat

  • A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

    Unknown

  • Striking the Right Balance With Uncertainty

    Salman Khan;Munawar Hayat;Syed Waqas Zamir;Jianbing Shen

  • Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks

    Aamir Mustafa;Salman Khan;Munawar Hayat;Roland Goecke

  • A Discriminative Representation of Convolutional Features for Indoor Scene Recognition

    Salman H. Khan;Munawar Hayat;Mohammed Bennamoun;Roberto Togneri

  • Deep learning based synthesis of MRI, CT and PET: Review and analysis

    Unknown

  • An efficient 3D face recognition approach using local geometrical signatures

    Yinjie Lei;Mohammed Bennamoun;Munawar Hayat;Yulan Guo

  • NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results

    Unknown

  • Image Super-Resolution as a Defense Against Adversarial Attacks

    Aamir Mustafa;Salman H. Khan;Munawar Hayat;Jianbing Shen

  • A Two-Phase Weighted Collaborative Representation for 3D partial face recognition with single sample

    Yinjie Lei;Yulan Guo;Munawar Hayat;Mohammed Bennamoun

  • Regularization of deep neural networks with spectral dropout

    Salman H. Khan;Salman H. Khan;Munawar Hayat;Fatih Porikli

  • Learning Non-linear Reconstruction Models for Image Set Classification

    Munawar Hayat;Mohammed Bennamoun;Senjian An

  • NTIRE 2021 NonHomogeneous Dehazing Challenge Report

    Codruta O. Ancuti;Cosmin Ancuti;Florin-Alexandru Vasluianu;Radu Timofte

  • A Spatial Layout and Scale Invariant Feature Representation for Indoor Scene Classification

    Munawar Hayat;Salman H. Khan;Mohammed Bennamoun;Senjian An

  • Random Path Selection for Continual Learning

    Jathushan Rajasegaran;Munawar Hayat;Salman H. Khan;Fahad Shahbaz Khan

  • Gaussian Affinity for Max-Margin Class Imbalanced Learning

    Munawar Hayat;Salman Khan;Syed Waqas Zamir;Jianbing Shen

  • Self-supervised Knowledge Distillation for Few-shot Learning

    Jathushan Rajasegaran;Salman H. Khan;Munawar Hayat;Fahad Shahbaz Khan

  • Striking the Right Balance with Uncertainty

    Salman Khan;Munawar Hayat;Waqas Zamir;Jianbing Shen

Frequent Co-Authors

Mohammed Bennamoun
Mohammed Bennamoun University of Western Australia
Ling Shao
Ling Shao Terminus International
Fahad Shahbaz Khan
Fahad Shahbaz Khan Mohamed bin Zayed University of Artificial Intelligence
Jianbing Shen
Jianbing Shen University of Macau
Roland Goecke
Roland Goecke University of New South Wales
Ferdous Sohel
Ferdous Sohel Murdoch University
Roberto Togneri
Roberto Togneri University of Western Australia
Salman Khan
Salman Khan Mohamed bin Zayed University of Artificial Intelligence
Nick Barnes
Nick Barnes Australian National University
Stefano Berretti
Stefano Berretti University of Florence

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