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Mohammadreza Mostajabi
Mohammadreza Mostajabi
PhD Candidate, TTI-Chicago
Verified email at ttic.edu - Homepage
Title
Cited by
Cited by
Year
Feedforward semantic segmentation with zoom-out features
M Mostajabi, P Yadollahpour, G Shakhnarovich
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
5742015
Scaling out-of-distribution detection for real-world settings
D Hendrycks, S Basart, M Mazeika, A Zou, J Kwon, M Mostajabi, ...
arXiv preprint arXiv:1911.11132, 2019
2892019
Diode: A dense indoor and outdoor depth dataset
I Vasiljevic, N Kolkin, S Zhang, R Luo, H Wang, FZ Dai, AF Daniele, ...
arXiv preprint arXiv:1908.00463, 2019
1512019
A benchmark for anomaly segmentation
D Hendrycks, S Basart, M Mazeika, M Mostajabi, J Steinhardt, D Song
arXiv preprint arXiv:1911.11132 1 (2), 5, 2019
652019
High-resolution radar dataset for semi-supervised learning of dynamic objects
M Mostajabi, CM Wang, D Ranjan, G Hsyu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
512020
Regularizing deep networks by modeling and predicting label structure
M Mostajabi, M Maire, G Shakhnarovich
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
292018
Diverse sampling for self-supervised learning of semantic segmentation
M Mostajabi, N Kolkin, G Shakhnarovich
arXiv preprint arXiv:1612.01991, 2016
42016
A robust multilevel segment description for multi-class object recognition
M Mostajabi, I Gholampour
Machine Vision and Applications 26, 15-30, 2015
42015
A framework based on the affine invariant regions for improving unsupervised image segmentation
M Mostajabi, I Gholampour
2012 11th International Conference on Information Science, Signal Processing …, 2012
22012
Improving and Assessing Anomaly Detectors for Large-Scale Settings
D Hendrycks, S Basart, M Mazeika, A Zou, J Kwon, M Mostajabi, ...
12021
Learning Rich Representations For Structured Visual Prediction Tasks
M Mostajabi
arXiv preprint arXiv:1908.11820, 2019
2019
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Articles 1–11