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Behnam Gholami
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2020 – today
- 2023
- [j3]Behnam Gholami, Mostafa El-Khamy, Kee-Bong Song:
Latent Feature Disentanglement for Visual Domain Generalization. IEEE Trans. Image Process. 32: 5751-5763 (2023) - [c9]Behnam Gholami, Mostafa El-Khamy, Kee-Bong Song:
Domain invariant regularization by disentangling content and style Features for visual domain generalization. ICIP 2023: 1525-1529 - 2022
- [j2]Behnam Gholami, Qingfeng Liu, Mostafa El-Khamy, Jungwon Lee:
Multiexpert Adversarial Regularization for Robust and Data-Efficient Deep Supervised Learning. IEEE Access 10: 85080-85094 (2022) - [c8]Behnam Gholami, Mohammad Hossein Behboudi, Ali Khadem, Afshin Shoeibi, Juan Manuel Górriz:
Sleep Apnea Diagnosis Using Complexity Features of EEG Signals. IWINAC (1) 2022: 74-83 - 2020
- [j1]Behnam Gholami, Pritish Sahu, Ognjen Rudovic, Konstantinos Bousmalis, Vladimir Pavlovic:
Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach. IEEE Trans. Image Process. 29: 3993-4002 (2020)
2010 – 2019
- 2019
- [c7]Minyoung Kim, Pritish Sahu, Behnam Gholami, Vladimir Pavlovic:
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach. CVPR 2019: 4380-4390 - [c6]Behnam Gholami, Pritish Sahu, Minyoung Kim, Vladimir Pavlovic:
Task-Discriminative Domain Alignment for Unsupervised Domain Adaptation. ICCV Workshops 2019: 1327-1336 - [i3]Minyoung Kim, Pritish Sahu, Behnam Gholami, Vladimir Pavlovic:
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach. CoRR abs/1902.08727 (2019) - [i2]Behnam Gholami, Pritish Sahu, Minyoung Kim, Vladimir Pavlovic:
Task-Discriminative Domain Alignment for Unsupervised Domain Adaptation. CoRR abs/1909.12366 (2019) - 2018
- [i1]Behnam Gholami, Pritish Sahu, Ognjen Rudovic, Konstantinos Bousmalis, Vladimir Pavlovic:
Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach. CoRR abs/1810.11547 (2018) - 2017
- [c5]Behnam Gholami, Vladimir Pavlovic:
Probabilistic Temporal Subspace Clustering. CVPR 2017: 4313-4322 - [c4]Behnam Gholami, Ognjen Rudovic, Vladimir Pavlovic:
PUnDA: Probabilistic Unsupervised Domain Adaptation for Knowledge Transfer Across Visual Categories. ICCV 2017: 3601-3610 - 2016
- [c3]Behnam Gholami, Sejong Yoon, Vladimir Pavlovic:
Decentralized Approximate Bayesian Inference for Distributed Sensor Network. AAAI 2016: 1582-1588 - [c2]Behnam Gholami, Abolfazl Hajisami:
Probabilistic Semi-Supervised Multi-Modal Hashing. BMVC 2016 - [c1]Behnam Gholami, Abolfazl Hajisami:
Kernel auto-encoder for semi-supervised hashing. WACV 2016: 1-8
Coauthor Index
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