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ORCIDMohammad H. Rohban
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2020 – today
- 2022
[i17]Hossein Mirzaei, Mohammadreza Salehi, Sajjad Shahabi, Efstratios Gavves, Cees G. M. Snoek, Mohammad Sabokrou, Mohammad Hossein Rohban:
Fake It Till You Make It: Near-Distribution Novelty Detection by Score-Based Generative Models. CoRR abs/2205.14297 (2022)- [i16]Mohammad Azizmalayeri, Mohammad Hossein Rohban:
OOD Augmentation May Be at Odds with Open-Set Recognition. CoRR abs/2206.04242 (2022) - [i15]Sina Taslimi, Soroush Taslimi, Nima Fathi, Mohammadreza Salehi, Mohammad Hossein Rohban:
SwinCheX: Multi-label classification on chest X-ray images with transformers. CoRR abs/2206.04246 (2022) - 2021
- [j5]Mohammadreza Salehi, Atrin Arya
, Barbod Pajoum, Mohammad Otoofi, Amirreza Shaeiri, Mohammad Hossein Rohban, Hamid R. Rabiee:
ARAE: Adversarially robust training of autoencoders improves novelty detection. Neural Networks 144: 726-736 (2021) - [c17]Mohammadreza Salehi, Niousha Sadjadi, Soroosh Baselizadeh, Mohammad H. Rohban, Hamid R. Rabiee:
Multiresolution Knowledge Distillation for Anomaly Detection. CVPR 2021: 14902-14912 - [i14]Reza Shirkavand, Sana Ayromlou, Soroush Farghadani, Maedeh-sadat Tahaei, Fattane Pourakpour, Bahareh Siahlou, Zeynab Khodakarami, Mohammad H. Rohban, Mansoor Fatehi, Hamid R. Rabiee:
Dementia Severity Classification under Small Sample Size and Weak Supervision in Thick Slice MRI. CoRR abs/2103.10056 (2021) - [i13]Mohammad Azizmalayeri, Mohammad Hossein Rohban:
Lagrangian Objective Function Leads to Improved Unforeseen Attack Generalization in Adversarial Training. CoRR abs/2103.15385 (2021) - [i12]Zeinab Golgooni, Mehrdad Saberi, Masih Eskandar, Mohammad Hossein Rohban:
ZeroGrad : Mitigating and Explaining Catastrophic Overfitting in FGSM Adversarial Training. CoRR abs/2103.15476 (2021) - [i11]Alireza Mousavi Hosseini, Amir Mohammad Abouei, Mohammad Hossein Rohban:
The Interplay between Distribution Parameters and the Accuracy-Robustness Tradeoff in Classification. CoRR abs/2107.00247 (2021) - [i10]Mohammadreza Salehi, Hossein Mirzaei, Dan Hendrycks, Yixuan Li, Mohammad Hossein Rohban, Mohammad Sabokrou:
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges. CoRR abs/2110.14051 (2021) - 2020
- [i9]Mohammadreza Salehi, Atrin Arya, Barbod Pajoum, Mohammad Otoofi, Amirreza Shaeiri, Mohammad Hossein Rohban, Hamid R. Rabiee:
ARAE: Adversarially Robust Training of Autoencoders Improves Novelty Detection. CoRR abs/2003.05669 (2020) - [i8]Amirreza Shaeiri, Rozhin Nobahari, Mohammad Hossein Rohban:
Towards Deep Learning Models Resistant to Large Perturbations. CoRR abs/2003.13370 (2020) - [i7]Mohammadreza Salehi, Ainaz Eftekhar, Niousha Sadjadi, Mohammad Hossein Rohban, Hamid R. Rabiee:
Puzzle-AE: Novelty Detection in Images through Solving Puzzles. CoRR abs/2008.12959 (2020) - [i6]Mohammadreza Salehi, Niousha Sadjadi, Soroosh Baselizadeh, Mohammad Hossein Rohban, Hamid R. Rabiee:
Multiresolution Knowledge Distillation for Anomaly Detection. CoRR abs/2011.11108 (2020)
2010 – 2019
- 2016
- [j4]Mohammad Hossein Rohban, Venkatesh Saligrama, Delaram Motamed Vaziri:
Minimax Optimal Sparse Signal Recovery With Poisson Statistics. IEEE Trans. Signal Process. 64(13): 3495-3508 (2016) - [i5]Alireza Ghasemi, Hamid R. Rabiee, Mohsen Fadaee, Mohammad Taghi Manzuri, Mohammad H. Rohban:
Active Learning from Positive and Unlabeled Data. CoRR abs/1602.07495 (2016) - [i4]Alireza Ghasemi, Hamid R. Rabiee, Mohammad Taghi Manzuri, Mohammad H. Rohban:
A Bayesian Approach to the Data Description Problem. CoRR abs/1602.07507 (2016) - 2014
- [c16]Weicong Ding, Mohammad H. Rohban, Prakash Ishwar, Venkatesh Saligrama:
Efficient Distributed Topic Modeling with Provable Guarantees. AISTATS 2014: 167-175 - [c15]Delaram Motamedvaziri, Mohammad Hossein Rohban, Venkatesh Saligrama:
Sparse signal recovery under poisson statistics for online marketing applications. ICASSP 2014: 4953-4957 - 2013
- [c14]Delaram Motamedvaziri, Mohammad H. Rohban, Venkatesh Saligrama:
Sparse signal recovery under Poisson statistics. Allerton 2013: 1450-1457 - [c13]Hoda S. Ayatollahi Tabatabaii, Hamid R. Rabiee, Mohammad Hossein Rohban, Mostafa Salehi:
Incorporating Betweenness Centrality in Compressive Sensing for congestion detection. ICASSP 2013: 4519-4523 - [c12]Weicong Ding, Mohammad H. Rohban, Prakash Ishwar, Venkatesh Saligrama:
A new geometric approach to latent topic modeling and discovery. ICASSP 2013: 5568-5572 - [c11]Weicong Ding, Mohammad Hossein Rohban, Prakash Ishwar, Venkatesh Saligrama:
Topic Discovery through Data Dependent and Random Projections. ICML (3) 2013: 1202-1210 - [c10]Mohammad H. Rohban, Prakash Ishwar, Burkay Orten, William Clement Karl, Venkatesh Saligrama:
An impossibility result for high dimensional supervised learning. ITW 2013: 1-5 - [i3]Hoda S. Ayatollahi Tabatabaii, Hamid R. Rabiee, Mohammad Hossein Rohban, Mostafa Salehi:
Incorporating Betweenness Centrality in Compressive Sensing for Congestion Detection. CoRR abs/1301.5399 (2013) - [i2]Weicong Ding, Mohammad H. Rohban, Prakash Ishwar, Venkatesh Saligrama:
Topic Discovery through Data Dependent and Random Projections. CoRR abs/1303.3664 (2013) - [i1]Weicong Ding, Prakash Ishwar, Mohammad H. Rohban, Venkatesh Saligrama:
Necessary and Sufficient Conditions for Novel Word Detection in Separable Topic Models. CoRR abs/1310.7994 (2013) - 2012
- [j3]Mohammad H. Rohban, Hamid R. Rabiee:
Supervised neighborhood graph construction for semi-supervised classification. Pattern Recognit. 45(4): 1363-1372 (2012) - [j2]Nima Pourdamghani, Hamid R. Rabiee, Fartash Faghri, Mohammad Hossein Rohban:
Graph based semi-supervised human pose estimation: When the output space comes to help. Pattern Recognit. Lett. 33(12): 1529-1535 (2012) - [j1]Hadi Asheri, Hamid R. Rabiee, Mohammad H. Rohban:
Signal Extrapolation for Image and Video Error Concealment Using Gaussian Processes With Adaptive Nonstationary Kernels. IEEE Signal Process. Lett. 19(10): 700-703 (2012) - [c9]Alireza Ghasemi, Hamid R. Rabiee, Mohammad Taghi Manzuri, Mohammad Hossein Rohban:
A Bayesian Approach to the Data Description Problem. AAAI 2012 - 2011
- [c8]Hadi Asheri, Abdolkhalegh Bayati, Hamid R. Rabiee, Mohammad H. Rohban:
Motion vector recovery with Gaussian Process Regression. ICASSP 2011: 953-956 - [c7]Marjan Ghazvininejad, Mostafa Mahdieh, Hamid R. Rabiee, Parisa Khanipour Roshan, Mohammad Hossein Rohban:
Isograph: Neighbourhood Graph Construction Based on Geodesic Distance for Semi-supervised Learning. ICDM 2011: 191-200 - [c6]Alireza Ghasemi, Hamid R. Rabiee, Mohsen Fadaee, Mohammad Taghi Manzuri, Mohammad H. Rohban:
Active Learning from Positive and Unlabeled Data. ICDM Workshops 2011: 244-250 - [c5]Alireza Ghasemi, Mohammad Taghi Manzuri, Hamid R. Rabiee, Mohammad H. Rohban, Siavash Haghiri:
Active one-class learning by kernel density estimation. MLSP 2011: 1-6 - [c4]Mehrdad Farajtabar, Amirreza Shaban, Hamid Reza Rabiee, Mohammad H. Rohban:
Manifold Coarse Graining for Online Semi-supervised Learning. ECML/PKDD (1) 2011: 391-406 - [c3]Salman Khaleghian, Hamid R. Rabiee, Mohammad H. Rohban:
Face recognition across large pose variations via Boosted Tied Factor Analysis. WACV 2011: 190-195 - 2010
- [c2]Hadi Asheri, Hamid R. Rabiee, Nima Pourdamghani, Mohammad H. Rohban:
A Gaussian Process Regression Framework for Spatial Error Concealment with Adaptive Kernels. ICPR 2010: 4541-4544
2000 – 2009
- 2009
- [c1]Mohammad H. Rohban, Hamid R. Rabiee, Arash Vahdat:
Face virtual pose generation using aligned locally linear regression for face recognition. ICIP 2009: 4121-4124
Coauthor Index
aka: Hamid Reza Rabiee
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