Yalda Mohsenzadeh

Orcid: 0000-0001-8525-957X

According to our database1, Yalda Mohsenzadeh authored at least 27 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Multiview Contrastive Learning for Unsupervised Domain Adaptation in Brain-Computer Interfaces.
IEEE Trans. Instrum. Meas., 2024

Multi-modal News Understanding with Professionally Labelled Videos (ReutersViLNews).
CoRR, 2024

2023
Look-Ahead Selective Plasticity for Continual Learning of Visual Tasks.
CoRR, 2023

2022
Augment to Detect Anomalies with Continuous Labelling.
CoRR, 2022

Controlling Memorability of Face Images.
CoRR, 2022

One-Class Learned Encoder-Decoder Network with Adversarial Context Masking for Novelty Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Anomaly Detection with Adversarially Learned Perturbations of Latent Space.
Proceedings of the 19th Conference on Robots and Vision, 2022

Multi-Scale Identity-Preserving Image-to-Image Translation Network for Low-Resolution Face Recognition.
Proceedings of the 35th Canadian Conference on Artificial Intelligence, Toronto, Ontario, 2022

2021
Reconstructing feedback representations in the ventral visual pathway with a generative adversarial autoencoder.
PLoS Comput. Biol., 2021

The Impact of Spatiotemporal Augmentations on Self-Supervised Audiovisual Representation Learning.
CoRR, 2021

OLED: One-Class Learned Encoder-Decoder Network with Adversarial Context Masking for Novelty Detection.
CoRR, 2021

Fast Inverse Mapping of Face GANs.
Proceedings of the IEEE International Conference on Acoustics, 2021

CLAR: Contrastive Learning of Auditory Representations.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Latent Vector Recovery of Audio GANs with Application in Deepfake Audio Detection.
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

2020
Enhancing multivariate pattern analysis for magnetoencephalography through relevant sensor selection.
Int. J. Imaging Syst. Technol., 2020

Low resolution face recognition using a two-branch deep convolutional neural network architecture.
Expert Syst. Appl., 2020

IPU-Net: Multi Scale Identity-Preserved U-Net for Low Resolution Face Recognition.
CoRR, 2020

Latent Vector Recovery of Audio GANs.
CoRR, 2020

Inverse mapping of face GANs.
CoRR, 2020

2019
Beyond core object recognition: Recurrent processes account for object recognition under occlusion.
PLoS Comput. Biol., 2019

The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence.
CoRR, 2019

2018
Decoding the orientation of contrast edges from MEG evoked and induced responses.
NeuroImage, 2018

2017
Variational Relevant Sample-Feature Machine: A fully Bayesian approach for embedded feature selection.
Neurocomputing, 2017

2016
Incremental relevance sample-feature machine: A fast marginal likelihood maximization approach for joint feature selection and classification.
Pattern Recognit., 2016

2015
Gaussian Kernel Width Optimization for Sparse Bayesian Learning.
IEEE Trans. Neural Networks Learn. Syst., 2015

2013
The Relevance Sample-Feature Machine: A Sparse Bayesian Learning Approach to Joint Feature-Sample Selection.
IEEE Trans. Cybern., 2013

2009
Reliable source transmission over relay networks with Side Information.
Proceedings of the IEEE International Symposium on Information Theory, 2009


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