Munawar Hayat

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Inception Institute of Artificial Intelligence

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Research Interests:

Computer Vision, Machine Learning, Pattern Recognition, Deep Learning, Face Recognition, Object Classification

Papers45 papers

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Low Light Image Enhancement via Global and Local Context Modeling

Aditya Arora,Muhammad Haris,Syed Waqas Zamir,Munawar Hayat,Fahad Shahbaz Khan,Ling Shao,Ming-Hsuan Yang

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Transformers in Vision: A Survey

Salman Khan,Muzammal Naseer,Munawar Hayat,Syed Waqas Zamir,Fahad Shahbaz Khan,Mubarak Shah

Bibtex

Deeply Supervised Discriminative Learning for Adversarial Defense

Aamir Mustafa, Salman H Khan,Munawar Hayat,Roland Goecke,Jianbing Shen,Ling Shao

IEEE transactions on pattern analysis and machine intelligence, pp.1-1, (2020)

Cited by2WOSBibtex

D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations

Sanath Narayan,Hisham Cholakkal,Munawar Hayat,Fahad Shahbaz Khan,Ming-Hsuan Yang,Ling Shao

Bibtex

Synthesizing the Unseen for Zero-shot Object Detection

Nasir Hayat,Munawar Hayat,Shafin Rahman,Salman Khan,Syed Waqas Zamir,Fahad Shahbaz Khan

asian conference on computer vision, (2020)

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Meta-learning the Learning Trends Shared Across Tasks

Jathushan Rajasegaran,Salman Khan,Munawar Hayat,Fahad Shahbaz Khan,Mubarak Shah

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Self-supervised Knowledge Distillation for Few-shot Learning

Jathushan Rajasegaran, Salman Khan,Munawar Hayat,Fahad Shahbaz Khan,Mubarak Shah

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A Self-supervised Approach for Adversarial Robustness

Muzammal Naseer,Salman Khan,Munawar Hayat,Fahad Shahbaz Khan,Fatih Porikli

CVPR, pp.259-268, (2020)

Cited by1EIBibtex

iTAML: An Incremental Task-Agnostic Meta-learning Approach

Rajasegaran Jathushan,Khan Salman,Hayat Munawar,Khan Fahad Shahbaz,Shah Mubarak

CVPR, pp.13585-13594, (2020)

Cited by2EIBibtex

CycleISP: Real Image Restoration via Improved Data Synthesis

Zamir Syed Waqas,Arora Aditya,Khan Salman,Hayat Munawar,Khan Fahad Shahbaz,Yang Ming-Hsuan,Shao Ling

CVPR, pp.2693-2702, (2020)

Cited by9EIBibtex

Towards Robust and Reproducible Active Learning Using Neural Networks

Munjal Prateek, Hayat Nasir,Hayat Munawar, Sourati Jamshid, Khan Shadab

Bibtex

Learning Enriched Features for Real Image Restoration and Enhancement

Zamir Syed Waqas,Arora Aditya,Khan Salman,Hayat Munawar,Khan Fahad Shahbaz,Yang Ming-Hsuan,Shao Ling

european conference on computer vision, pp.492-511, (2020)

Cited by1Bibtex

Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks

Aamir Mustafa, Salman H. Khan,Munawar Hayat,Roland Goecke,Jianbing Shen,Ling Shao

ICCV, pp.3384-3393, (2019)

Cited by14EIBibtex

Gaussian Affinity for Max-Margin Class Imbalanced Learning

Munawar Hayat, Salman H. Khan, Syed Waqas Zamir,Jianbing Shen,Ling Shao

ICCV, pp.6468-6478, (2019)

Cited by15EIBibtex

Random Path Selection for Continual Learning

Jathushan Rajasegaran,Munawar Hayat, Salman Khan,Fahad Shahbaz Khan,Ling Shao

NeurIPS, pp.12648-12658, (2019)

Cited by23EIBibtex

Unsupervised Primitive Discovery for Improved 3D Generative Modeling

Salman H. Khan,Yulan Guo,Munawar Hayat,Nick Barnes

CVPR, (2019): 9739-9748

Cited by9EIBibtex

Max-margin Class Imbalanced Learning with Gaussian Affinity

Munawar Hayat, Salman H. Khan, Waqas Zamir,Jianbing Shen,Ling Shao

arXiv: Computer Vision and Pattern Recognition, (2019)

Cited by10EIBibtex

Learned 3D Shape Representations Using Fused Geometrically Augmented Images: Application to Facial Expression and Action Unit Detection

Bilal Taha,Munawar Hayat,Stefano Berretti,Naoufel Werghi

arXiv: Computer Vision and Pattern Recognition, (2019): 1-1

EIBibtex

Striking the Right Balance with Uncertainty

Salman H. Khan,Munawar Hayat,Waqas Zamir,Jianbing Shen,Ling Shao

CVPR, (2019)

Cited by36EIBibtex

Image Super-Resolution as a Defense Against Adversarial Attacks

Aamir Mustafa, Salman H. Khan,Munawar Hayat,Jianbing Shen,Ling Shao

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, (2019): 1-1

Cited by23EIWOSBibtex

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