A framework based on the Affine Invariant Regions for improving unsupervised image segmentation. - Mohammadreza Mostajabi; Iman Gholampour (ISSPA, 2012)

Feedforward semantic segmentation with zoom-out features. - Mohammadreza Mostajabi; Payman Yadollahpour; Gregory Shakhnarovich (CVPR, 2015)

A robust multilevel segment description for multi-class object recognition. - Mohammadreza Mostajabi; Iman Gholampour (Mach. Vis. Appl., 2015)

Diverse Sampling for Self-Supervised Learning of Semantic Segmentation. - Mohammadreza Mostajabi; Nicholas I. Kolkin; Gregory Shakhnarovich (CoRR, 2016)

Regularizing Deep Networks by Modeling and Predicting Label Structure. - Mohammadreza Mostajabi; Michael Maire; Gregory Shakhnarovich (CVPR, 2018)

DIODE: A Dense Indoor and Outdoor DEpth Dataset. - Igor Vasiljevic; Nicholas I. Kolkin; Shanyi Zhang; Ruotian Luo; Haochen Wang; Falcon Z. Dai; Andrea F. Daniele; Mohammadreza Mostajabi; Steven Basart; Matthew R. Walter; Gregory Shakhnarovich (CoRR, 2019)

Learning Rich Representations For Structured Visual Prediction Tasks. - Mohammadreza Mostajabi (CoRR, 2019)

A Benchmark for Anomaly Segmentation. - Dan Hendrycks; Steven Basart; Mantas Mazeika; Mohammadreza Mostajabi; Jacob Steinhardt; Dawn Song (CoRR, 2019)

High Resolution Radar Dataset for Semi-Supervised Learning of Dynamic Objects. - Mohammadreza Mostajabi; Ching Ming Wang; Darsh Ranjan; Gilbert Hsyu (CVPR Workshops, 2020)

Scaling Out-of-Distribution Detection for Real-World Settings. - Dan Hendrycks; Steven Basart; Mantas Mazeika; Andy Zou; Joseph Kwon; Mohammadreza Mostajabi; Jacob Steinhardt; Dawn Song (ICML, 2022)