Munawar Hayat

Munawar Hayat

Senior Lecturer, ARC DECRA Fellow

Monash University

Biography

I am a Senior Lecturer and ARC DECRA fellow at Faculty of IT, Monash University, Australia. I completed my PhD in Computer Vision from The University of Western Australia (UWA). My PhD thesis received multiple awards including the prestigious Robert Street Prize. My research interests are in computer vision, machine learning, deep learning, and affective computing.

Interests

  • Computer Vision
  • Deep Learning
  • Machine Learning
  • Affective Computing

Education

  • PhD in Computer Science, 2015

    The University of Western Austraia

  • Masters in Space Science, 2011

    Luleå Tekniska Universitet

  • BSc in Engineering, 2009

    National University of Sciences & Technology

News

I am currently looking for PhD students at Monash University. If you’re interested, please drop me an email with your detailed CV.

Publications

Quickly discover relevant content by filtering publications.
(2021). Transformers in Vision: A Survey. arXiv preprint arXiv:2101.01169.

PDF

(2020). Synthesizing the Unseen for Zero-shot Object Detection. Proceedings of the Asian Conference on Computer Vision (ACCV 2020).

PDF Code

(2020). Learning Enriched Features for Real Image Restoration and Enhancement. European Conference on Computer Vision (ECCV 2020).

PDF Code Video

(2020). A Self-supervised Approach for Adversarial Robustness. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020).

PDF Code Poster Video

(2020). CycleISP: Real Image Restoration via Improved Data Synthesis. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020).

PDF Code Video

(2020). iTAML: An Incremental Task-Agnostic Meta-learning Approach. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020).

PDF Code

(2020). Deeply Supervised Discriminative Learning for Adversarial Defense. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI).

PDF Code

(2020). Learned 3D Shape Representations Using Fused Geometrically Augmented Images: Application to Facial Expression and Action Unit Detection. IEEE Transactions on Circuits and Systems for Video Technology.

PDF

(2019). Gaussian affinity for max-margin class imbalanced learning. Proceedings of the IEEE International Conference on Computer Vision (ICCV 2019).

PDF

(2019). Random path selection for continual learning. Advances in Neural Information Processing Systems (NeurIPS 2019).

PDF Code

(2019). Adversarial defense by restricting the hidden space of deep neural networks. Proceedings of the IEEE International Conference on Computer Vision (ICCV 2019).

PDF Code

(2019). Regularization of deep neural networks with spectral dropout. Neural Networks (NN).

PDF

(2019). Image super-resolution as a defense against adversarial attacks. IEEE Transactions on Image Processing (IEEE TIP).

PDF Code

(2019). Striking the right balance with uncertainty. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019).

PDF

(2019). Unsupervised primitive discovery for improved 3D generative modeling. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019).

PDF

(2018). Adversarial training of variational auto-encoders for high fidelity image generation. 2018 IEEE Winter Conference on Applications of Computer Vision (WACV 2018).

PDF

(2017). A multimodal system to characterise melancholia: cascaded bag of words approach. Proceedings of the 19th ACM International Conference on Multimodal Interaction.

PDF

(2017). Heart rate estimation from facial videos for depression analysis. 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII 2017).

PDF Code

(2017). Investigating word affect features and fusion of probabilistic predictions incorporating uncertainty in AVEC 2017. Proceedings of the 7th Annual Workshop on Audio/Visual Emotion Challenge.

PDF

(2017). Scene categorization with spectral features. Proceedings of the IEEE International Conference on Computer Vision (ICCV 2017).

PDF

(2017). Cost-sensitive learning of deep feature representations from imbalanced data. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS).

PDF

(2017). Empowering simple binary classifiers for image set based face recognition. International Journal of Computer Vision (IJCV).

PDF

(2017). Joint Registration and Representation Learning for Unconstrained Face Identification. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (CVPR 2017).

PDF

(2017). A video-based facial behaviour analysis approach to melancholia. 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).

PDF

(2016). A spatial layout and scale invariant feature representation for indoor scene classification. IEEE Transactions on Image Processing (IEEE TIP).

PDF

(2016). A discriminative representation of convolutional features for indoor scene recognition. IEEE Transactions on Image Processing (IEEE TIP).

PDF

(2016). A two-phase weighted collaborative representation for 3D partial face recognition with single sample. Pattern Recognition (PR).

PDF

(2016). An RGB--D based image set classification for robust face recognition from Kinect data. Neurocomputing (NC).

PDF

(2015). Contractive rectifier networks for nonlinear maximum margin classification. Proceedings of the IEEE International Conference on Computer Vision (ICCV 2015).

PDF

(2014). Reverse training: An efficient approach for image set classification. European conference on computer vision (ECCV 2014).

PDF Code

(2014). Deep reconstruction models for image set classification. IEEE Transactions on Pattern analysis and Machine Intelligence (IEEE TPAMI).

PDF Code

(2014). An automatic framework for textured 3D video-based facial expression recognition. IEEE Transactions on Affective Computing.

PDF

(2014). Learning Non-Linear Reconstruction Models for Image Set Classification. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition CVPR (CVPR 2014).

PDF Code

(2014). An efficient 3D face recognition approach using local geometrical signatures. Pattern Recognition (PR).

PDF

(2013). Clustering of video-patches on grassmannian manifold for facial expression recognition from 3d videos. 2013 IEEE workshop on applications of computer vision (WACV 2013).

PDF

(2012). Novel low level local features for 3D expression invariant face recognition. 2012 12th International Conference on Control Automation Robotics & Vision (ICARCV 2012).

PDF

(2012). Fully automatic face recognition from 3D videos. Proceedings of the 21st International Conference on Pattern Recognition (ICPR 2012).

PDF

(2012). Evaluation of spatiotemporal detectors and descriptors for facial expression recognition. 2012 5th International Conference on Human System Interactions.

PDF

Contact