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Mohammad Havaei
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2020 – today
- 2024
- [c14]Golnoosh Farnadi, Mohammad Havaei, Negar Rostamzadeh:
Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities. ICML 2024 - [i27]Nima Fathi, Amar Kumar, Brennan Nichyporuk, Mohammad Havaei, Tal Arbel:
DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanations. CoRR abs/2405.09288 (2024) - [i26]Golnoosh Farnadi, Mohammad Havaei, Negar Rostamzadeh:
Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities. CoRR abs/2406.01757 (2024) - 2023
- [i25]Laya Rafiee Sevyeri, Ivaxi Sheth, Farhood Farahnak, Alexandre See, Samira Ebrahimi Kahou, Thomas Fevens, Mohammad Havaei:
Source-free Domain Adaptation Requires Penalized Diversity. CoRR abs/2304.02798 (2023) - 2022
- [j10]Atefeh Ziaei, Hamed Azarnoush
, Seyyed Ali Seyyedsalehi
, Mohammad Havaei:
Stain transfer using Generative Adversarial Networks and disentangled features. Comput. Biol. Medicine 142: 105219 (2022) - [j9]Qicheng Lao
, Xiang Jiang
, Mohammad Havaei, Yoshua Bengio
:
A Two-Stream Continual Learning System With Variational Domain-Agnostic Feature Replay. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4466-4478 (2022) - [c13]Moslem Yazdanpanah, Aamer Abdul Rahman, Muawiz Chaudhary, Christian Desrosiers, Mohammad Havaei, Eugene Belilovsky, Samira Ebrahimi Kahou:
Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning. CVPR 2022: 9099-9108 - [c12]Farshid Varno
, Marzie Saghayi
, Laya Rafiee Sevyeri
, Sharut Gupta
, Stan Matwin
, Mohammad Havaei
:
AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation. ECCV (23) 2022: 710-726 - [i24]Farshid Varno, Marzie Saghayi, Laya Rafiee, Sharut Gupta, Stan Matwin, Mohammad Havaei:
Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation. CoRR abs/2204.13170 (2022) - [i23]Sharut Gupta, Kartik Ahuja, Mohammad Havaei, Niladri Chatterjee, Yoshua Bengio:
FL Games: A federated learning framework for distribution shifts. CoRR abs/2205.11101 (2022) - [i22]Fereshteh Shakeri, Malik Boudiaf, Sina Mohammadi, Ivaxi Sheth, Mohammad Havaei, Ismail Ben Ayed, Samira Ebrahimi Kahou:
FHIST: A Benchmark for Few-shot Classification of Histological Images. CoRR abs/2206.00092 (2022) - [i21]Sharut Gupta, Kartik Ahuja, Mohammad Havaei, Niladri Chatterjee, Yoshua Bengio:
FL Games: A Federated Learning Framework for Distribution Shifts. CoRR abs/2211.00184 (2022) - [i20]Ivaxi Sheth, Aamer Abdul Rahman, Mohammad Havaei, Samira Ebrahimi Kahou:
Pitfalls of Conditional Batch Normalization for Contextual Multi-Modal Learning. CoRR abs/2211.15071 (2022) - 2021
- [j8]Mohammad Havaei, Ximeng Mao, Yiping Wang
, Qicheng Lao
:
Conditional generation of medical images via disentangled adversarial inference. Medical Image Anal. 72: 102106 (2021) - [j7]Qicheng Lao
, Mehrzad Mortazavi, Marzieh Tahaei, Francis Dutil, Thomas Fevens, Mohammad Havaei:
FoCL: Feature-oriented continual learning for generative models. Pattern Recognit. 120: 108127 (2021) - [c11]Qicheng Lao, Xiang Jiang, Mohammad Havaei:
Hypothesis Disparity Regularized Mutual Information Maximization. AAAI 2021: 8243-8251 - [c10]Mohammad Havaei, Ximeng Mao, Yiping Wang, Qicheng Lao
:
Conditional Generation of Medical Images via Disentangled Adversarial Inference. DGM4MICCAI/DALI@MICCAI 2021: 45-66 - [c9]Ahmad Pesaranghader, Yiping Wang, Mohammad Havaei:
CT-SGAN: Computed Tomography Synthesis GAN. DGM4MICCAI/DALI@MICCAI 2021: 67-79 - [i19]Ahmad Pesaranghader, Yiping Wang, Mohammad Havaei:
CT-SGAN: Computed Tomography Synthesis GAN. CoRR abs/2110.09288 (2021) - 2020
- [j6]Mehrdad Noori, Sina Mohammadi, Sina Ghofrani Majelan, Ali Bahri, Mohammad Havaei:
DFNet: Discriminative feature extraction and integration network for salient object detection. Eng. Appl. Artif. Intell. 89: 103419 (2020) - [j5]Sina Mohammadi
, Mehrdad Noori
, Ali Bahri, Sina Ghofrani Majelan, Mohammad Havaei:
CAGNet: Content-Aware Guidance for Salient Object Detection. Pattern Recognit. 103: 107303 (2020) - [c8]Xiang Jiang, Qicheng Lao, Stan Matwin, Mohammad Havaei:
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation. ICML 2020: 4816-4827 - [i18]Qicheng Lao
, Mehrzad Mortazavi, Marzieh Tahaei, Francis Dutil, Thomas Fevens, Mohammad Havaei:
FoCL: Feature-Oriented Continual Learning for Generative Models. CoRR abs/2003.03877 (2020) - [i17]Qicheng Lao
, Xiang Jiang, Mohammad Havaei, Yoshua Bengio:
Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay. CoRR abs/2003.04382 (2020) - [i16]Mehrdad Noori, Sina Mohammadi, Sina Ghofrani Majelan, Ali Bahri, Mohammad Havaei:
DFNet: Discriminative feature extraction and integration network for salient object detection. CoRR abs/2004.01573 (2020) - [i15]Saeid Asgari Taghanaki, Mohammad Havaei, Alex Lamb, Aditya Sanghi, Ara Danielyan, Tonya Custis:
Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders. CoRR abs/2005.05496 (2020) - [i14]Xiang Jiang, Qicheng Lao
, Stan Matwin, Mohammad Havaei:
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation. CoRR abs/2006.04996 (2020) - [i13]Mohammad Havaei, Ximeng Mao, Yiping Wang, Qicheng Lao
:
Conditional Generation of Medical Images via Disentangled Adversarial Inference. CoRR abs/2012.04764 (2020) - [i12]Qicheng Lao
, Xiang Jiang, Mohammad Havaei:
Hypothesis Disparity Regularized Mutual Information Maximization. CoRR abs/2012.08072 (2020)
2010 – 2019
- 2019
- [c7]Qicheng Lao
, Mohammad Havaei, Ahmad Pesaranghader, Francis Dutil, Lisa Di-Jorio, Thomas Fevens:
Dual Adversarial Inference for Text-to-Image Synthesis. ICCV 2019: 7566-7575 - [c6]Xiang Jiang, Mohammad Havaei, Farshid Varno, Gabriel Chartrand, Nicolas Chapados, Stan Matwin:
Learning to Learn with Conditional Class Dependencies. ICLR (Poster) 2019 - [c5]Xiang Jiang
, Liqiang Ding
, Mohammad Havaei
, Andrew Jesson
, Stan Matwin
:
Task Adaptive Metric Space for Medium-Shot Medical Image Classification. MICCAI (1) 2019: 147-155 - [c4]Saeid Asgari Taghanaki, Mohammad Havaei, Tess Berthier, Francis Dutil, Lisa Di-Jorio, Ghassan Hamarneh
, Yoshua Bengio:
InfoMask: Masked Variational Latent Representation to Localize Chest Disease. MICCAI (6) 2019: 739-747 - [i11]Saeid Asgari Taghanaki, Mohammad Havaei, Tess Berthier, Francis Dutil, Lisa Di-Jorio, Ghassan Hamarneh, Yoshua Bengio:
InfoMask: Masked Variational Latent Representation to Localize Chest Disease. CoRR abs/1903.11741 (2019) - [i10]Qicheng Lao, Mohammad Havaei, Ahmad Pesaranghader, Francis Dutil, Lisa Di-Jorio, Thomas Fevens:
Dual Adversarial Inference for Text-to-Image Synthesis. CoRR abs/1908.05324 (2019) - [i9]Sina Mohammadi, Mehrdad Noori, Ali Bahri, Sina Ghofrani Majelan, Mohammad Havaei:
CAGNet: Content-Aware Guidance for Salient Object Detection. CoRR abs/1911.13168 (2019) - 2018
- [i8]Xiang Jiang, Mohammad Havaei, Gabriel Chartrand, Hassan Chouaib, Thomas Vincent, Andrew Jesson, Nicolas Chapados, Stan Matwin:
On the Importance of Attention in Meta-Learning for Few-Shot Text Classification. CoRR abs/1806.00852 (2018) - 2017
- [j4]Mohammad Havaei, Axel Davy, David Warde-Farley, Antoine Biard, Aaron C. Courville, Yoshua Bengio, Chris Pal, Pierre-Marc Jodoin, Hugo Larochelle:
Brain tumor segmentation with Deep Neural Networks. Medical Image Anal. 35: 18-31 (2017) - [j3]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.:
ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI. Medical Image Anal. 35: 250-269 (2017) - [i7]Chin-Wei Huang, Ahmed Touati, Laurent Dinh, Michal Drozdzal, Mohammad Havaei, Laurent Charlin, Aaron C. Courville:
Learnable Explicit Density for Continuous Latent Space and Variational Inference. CoRR abs/1710.02248 (2017) - 2016
- [j2]Mohammad Havaei, Hugo Larochelle, Philippe Poulin, Pierre-Marc Jodoin:
Within-brain classification for brain tumor segmentation. Int. J. Comput. Assist. Radiol. Surg. 11(5): 777-788 (2016) - [c3]Mohammad Havaei, Nicolas Guizard, Nicolas Chapados, Yoshua Bengio:
HeMIS: Hetero-Modal Image Segmentation. MICCAI (2) 2016: 469-477 - [p1]Mohammad Havaei, Nicolas Guizard, Hugo Larochelle, Pierre-Marc Jodoin:
Deep Learning Trends for Focal Brain Pathology Segmentation in MRI. Machine Learning for Health Informatics 2016: 125-148 - [i6]Mohammad Havaei, Nicolas Guizard, Nicolas Chapados, Yoshua Bengio:
HeMIS: Hetero-Modal Image Segmentation. CoRR abs/1607.05194 (2016) - [i5]Mohammad Havaei, Nicolas Guizard, Hugo Larochelle, Pierre-Marc Jodoin:
Deep learning trends for focal brain pathology segmentation in MRI. CoRR abs/1607.05258 (2016) - 2015
- [c2]Mohammad Havaei, Francis Dutil, Chris Pal, Hugo Larochelle, Pierre-Marc Jodoin:
A Convolutional Neural Network Approach to Brain Tumor Segmentation. Brainles@MICCAI 2015: 195-208 - [i4]Mohammad Havaei, Axel Davy, David Warde-Farley, Antoine Biard, Aaron C. Courville, Yoshua Bengio, Chris Pal, Pierre-Marc Jodoin, Hugo Larochelle:
Brain Tumor Segmentation with Deep Neural Networks. CoRR abs/1505.03540 (2015) - [i3]Mohammad Havaei, Hugo Larochelle, Philippe Poulin, Pierre-Marc Jodoin:
Within-Brain Classification for Brain Tumor Segmentation. CoRR abs/1510.01344 (2015) - 2014
- [c1]Mohammad Havaei, Pierre-Marc Jodoin, Hugo Larochelle:
Efficient Interactive Brain Tumor Segmentation as Within-Brain kNN Classification. ICPR 2014: 556-561 - 2013
- [j1]J. Rafid Siddiqui
, Mohammad Havaei, Siamak Khatibi, Craig A. Lindley:
A novel plane extraction approach using supervised learning. Mach. Vis. Appl. 24(6): 1229-1237 (2013) - 2012
- [i2]Mohammad Havaei, Nandivada Krishna Prasad, Velleshala Sudheer:
Elimination of ISI Using Improved LMS Based Decision Feedback Equalizer. CoRR abs/1208.2199 (2012) - [i1]Sanaz Moshirian, Soheil Ghadami, Mohammad Havaei:
Blind Channel Equalization. CoRR abs/1208.2205 (2012)
Coauthor Index
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last updated on 2024-09-02 21:23 CEST by the dblp team
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