Monocular 3D Human Pose Estimation with a Semi-supervised Graph-Based Method. - Mahdieh Abbasi; Hamid R. Rabiee 001; Christian Gagné 001 (3DV, 2015)

Alternating Direction Method of Multipliers for Sparse Convolutional Neural Networks. - Farkhondeh Kiaee; Christian Gagné 001; Mahdieh Abbasi (CoRR, 2016)

Robustness to Adversarial Examples through an Ensemble of Specialists. - Mahdieh Abbasi; Christian Gagné 001 (ICLR (Workshop), 2017)

Out-distribution training confers robustness to deep neural networks. - Mahdieh Abbasi; Christian Gagné 001 (CoRR, 2018)

Towards Dependable Deep Convolutional Neural Networks (CNNs) with Out-distribution Learning. - Arezoo Rajabi; Mahdieh Abbasi; Christian Gagné 001; Rakesh B. Bobba (CoRR, 2018)

Controlling Over-generalization and its Effect on Adversarial Examples Generation and Detection. - Mahdieh Abbasi; Arezoo Rajabi; Azadeh Sadat Mozafari; Rakesh B. Bobba; Christian Gagné 001 (CoRR, 2018)

A Principled Approach for Learning Task Similarity in Multitask Learning. - Changjian Shui; Mahdieh Abbasi; Louis-Émile Robitaille; Boyu Wang 004; Christian Gagné 001 (IJCAI, 2019)

Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks. - Mahdieh Abbasi; Arezoo Rajabi; Christian Gagné 001; Rakesh B. Bobba (Canadian AI, 2020)

Toward Metrics for Differentiating Out-of-Distribution Sets. - Mahdieh Abbasi; Changjian Shui; Arezoo Rajabi; Christian Gagné 001; Rakesh B. Bobba (ECAI, 2020)

Self-supervised Robust Object Detectors from Partially Labelled datasets. - Mahdieh Abbasi; Denis Laurendeau; Christian Gagné 001 (CoRR, 2020)

Task Similarity Estimation Through Adversarial Multitask Neural Network. - Fan Zhou 006; Changjian Shui; Mahdieh Abbasi; Louis-Émile Robitaille; Boyu Wang 004; Christian Gagné 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Adversarial Images Against Super-Resolution Convolutional Neural Networks for Free. - Arezoo Rajabi; Mahdieh Abbasi; Rakesh B. Bobba; Kimia Tajik (Proc. Priv. Enhancing Technol., 2022)