Mohammad Havaei

According to our database, Mohammad Havaei authored at least 38 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Understanding the Local Geometry of Generative Model Manifolds.

Ahmed Imtiaz Humayun, Ibtihel Amara, Candice Schumann, Golnoosh Farnadi, Negar Rostamzadeh, Mohammad Havaei

CoRR, 2024

DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanations.

Nima Fathi, Amar Kumar, Brennan Nichyporuk, Mohammad Havaei, Tal Arbel

CoRR, 2024

Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities.

Golnoosh Farnadi, Mohammad Havaei, Negar Rostamzadeh

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Source-free Domain Adaptation Requires Penalized Diversity.

Laya Rafiee Sevyeri, Ivaxi Sheth, Farhood Farahnak, Alexandre See, Samira Ebrahimi Kahou, Thomas Fevens, Mohammad Havaei

CoRR, 2023

2022

A Two-Stream Continual Learning System With Variational Domain-Agnostic Feature Replay.

Qicheng Lao, Xiang Jiang, Mohammad Havaei, Yoshua Bengio

IEEE Trans. Neural Networks Learn. Syst., 2022

Pitfalls of Conditional Batch Normalization for Contextual Multi-Modal Learning.

Ivaxi Sheth, Aamer Abdul Rahman, Mohammad Havaei, Samira Ebrahimi Kahou

CoRR, 2022

FL Games: A Federated Learning Framework for Distribution Shifts.

Sharut Gupta, Kartik Ahuja, Mohammad Havaei, Niladri Chatterjee, Yoshua Bengio

CoRR, 2022

FHIST: A Benchmark for Few-shot Classification of Histological Images.

Fereshteh Shakeri, Malik Boudiaf, Sina Mohammadi, Ivaxi Sheth, Mohammad Havaei, Ismail Ben Ayed, Samira Ebrahimi Kahou

CoRR, 2022

Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation.

Farshid Varno, Marzie Saghayi, Laya Rafiee, Sharut Gupta, Stan Matwin, Mohammad Havaei

CoRR, 2022

Stain transfer using Generative Adversarial Networks and disentangled features.

Atefeh Ziaei, Hamed Azarnoush, Seyyed Ali Seyyedsalehi, Mohammad Havaei

Comput. Biol. Medicine, 2022

AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation.

Farshid Varno, Marzie Saghayi, Laya Rafiee Sevyeri, Sharut Gupta, Stan Matwin, Mohammad Havaei

Proceedings of the Computer Vision - ECCV 2022, 2022

Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning.

Moslem Yazdanpanah, Aamer Abdul Rahman, Muawiz Chaudhary, Christian Desrosiers, Mohammad Havaei, Eugene Belilovsky, Samira Ebrahimi Kahou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

FoCL: Feature-oriented continual learning for generative models.

Qicheng Lao, Mehrzad Mortazavi, Marzieh Tahaei, Francis Dutil, Thomas Fevens, Mohammad Havaei

Pattern Recognit., 2021

Conditional generation of medical images via disentangled adversarial inference.

Mohammad Havaei, Ximeng Mao, Yiping Wang, Qicheng Lao

Medical Image Anal., 2021

CT-SGAN: Computed Tomography Synthesis GAN.

Ahmad Pesaranghader, Yiping Wang, Mohammad Havaei

Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

Hypothesis Disparity Regularized Mutual Information Maximization.

Qicheng Lao, Xiang Jiang, Mohammad Havaei

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

CAGNet: Content-Aware Guidance for Salient Object Detection.

Sina Mohammadi, Mehrdad Noori, Ali Bahri, Sina Ghofrani Majelan, Mohammad Havaei

Pattern Recognit., 2020

DFNet: Discriminative feature extraction and integration network for salient object detection.

Mehrdad Noori, Sina Mohammadi, Sina Ghofrani Majelan, Ali Bahri, Mohammad Havaei

Eng. Appl. Artif. Intell., 2020

Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders.

Saeid Asgari Taghanaki, Mohammad Havaei, Alex Lamb, Aditya Sanghi, Ara Danielyan, Tonya Custis

CoRR, 2020

Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay.

Qicheng Lao, Xiang Jiang, Mohammad Havaei, Yoshua Bengio

CoRR, 2020

Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation.

Xiang Jiang, Qicheng Lao, Stan Matwin, Mohammad Havaei

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

InfoMask: Masked Variational Latent Representation to Localize Chest Disease.

Saeid Asgari Taghanaki, Mohammad Havaei, Tess Berthier, Francis Dutil, Lisa Di-Jorio, Ghassan Hamarneh, Yoshua Bengio

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Task Adaptive Metric Space for Medium-Shot Medical Image Classification.

Xiang Jiang, Liqiang Ding, Mohammad Havaei, Andrew Jesson, Stan Matwin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Learning to Learn with Conditional Class Dependencies.

Xiang Jiang, Mohammad Havaei, Farshid Varno, Gabriel Chartrand, Nicolas Chapados, Stan Matwin

Proceedings of the 7th International Conference on Learning Representations, 2019

Dual Adversarial Inference for Text-to-Image Synthesis.

Qicheng Lao, Mohammad Havaei, Ahmad Pesaranghader, Francis Dutil, Lisa Di-Jorio, Thomas Fevens

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

On the Importance of Attention in Meta-Learning for Few-Shot Text Classification.

Xiang Jiang, Mohammad Havaei, Gabriel Chartrand, Hassan Chouaib, Thomas Vincent, Andrew Jesson, Nicolas Chapados, Stan Matwin

CoRR, 2018

2017

ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI.

Oskar Maier, Bjoern H. Menze, Janina von der Gablentz, Levin Häni, Mattias P. Heinrich, Matthias Liebrand, Stefan Winzeck, Abdul Basit, Paul Bentley, Liang Chen, Daan Christiaens, Francis Dutil, Karl Egger, Chaolu Feng, Ben Glocker, Michael Götz, Tom Haeck, Hanna-Leena Halme, Mohammad Havaei, Khan M. Iftekharuddin, Pierre-Marc Jodoin, et al.

Medical Image Anal., 2017

Brain tumor segmentation with Deep Neural Networks.

Mohammad Havaei, Axel Davy, David Warde-Farley, Antoine Biard, Aaron C. Courville, Yoshua Bengio, Chris Pal, Pierre-Marc Jodoin, Hugo Larochelle

Medical Image Anal., 2017

Learnable Explicit Density for Continuous Latent Space and Variational Inference.

Chin-Wei Huang, Ahmed Touati, Laurent Dinh, Michal Drozdzal, Mohammad Havaei, Laurent Charlin, Aaron C. Courville

CoRR, 2017

2016

Deep Learning Trends for Focal Brain Pathology Segmentation in MRI.

Mohammad Havaei, Nicolas Guizard, Hugo Larochelle, Pierre-Marc Jodoin

Proceedings of the Machine Learning for Health Informatics, 2016

Deep learning trends for focal brain pathology segmentation in MRI.

Mohammad Havaei, Nicolas Guizard, Hugo Larochelle, Pierre-Marc Jodoin

CoRR, 2016

Within-brain classification for brain tumor segmentation.

Mohammad Havaei, Hugo Larochelle, Philippe Poulin, Pierre-Marc Jodoin

Int. J. Comput. Assist. Radiol. Surg., 2016

HeMIS: Hetero-Modal Image Segmentation.

Mohammad Havaei, Nicolas Guizard, Nicolas Chapados, Yoshua Bengio

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015

A Convolutional Neural Network Approach to Brain Tumor Segmentation.

Mohammad Havaei, Francis Dutil, Chris Pal, Hugo Larochelle, Pierre-Marc Jodoin

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015

2014

Efficient Interactive Brain Tumor Segmentation as Within-Brain kNN Classification.

Mohammad Havaei, Pierre-Marc Jodoin, Hugo Larochelle

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

A novel plane extraction approach using supervised learning.

J. Rafid Siddiqui, Mohammad Havaei, Siamak Khatibi, Craig A. Lindley

Mach. Vis. Appl., 2013

2012

Blind Channel Equalization

Sanaz Moshirian, Soheil Ghadami, Mohammad Havaei

CoRR, 2012

Elimination of ISI Using Improved LMS Based Decision Feedback Equalizer

Mohammad Havaei, Nandivada Krishna Prasad, Velleshala Sudheer

CoRR, 2012