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ORCIDMojtaba Seyedhosseini
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- affiliation: Google
- affiliation (former): University of Utah, Electrical and Computer Engineering Department, Salt Lake City, USA
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2020 – today
- 2023
[c10]Nikolaos-Antonios Ypsilantis, Kaifeng Chen, Bingyi Cao, Mário Lipovský, Pelin Dogan-Schönberger, Grzegorz Makosa, Boris Bluntschli, Mojtaba Seyedhosseini, Ondrej Chum, André Araújo:
Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge for Generic Image Representations. ICCV 2023: 11256-11267- [i8]Xi Chen, Josip Djolonga, Piotr Padlewski, Basil Mustafa, Soravit Changpinyo, Jialin Wu, Carlos Riquelme Ruiz, Sebastian Goodman, Xiao Wang, Yi Tay, Siamak Shakeri, Mostafa Dehghani, Daniel Salz, Mario Lucic, Michael Tschannen, Arsha Nagrani, Hexiang Hu, Mandar Joshi, Bo Pang, Ceslee Montgomery, Paulina Pietrzyk, Marvin Ritter, A. J. Piergiovanni, Matthias Minderer, Filip Pavetic, Austin Waters, Gang Li, Ibrahim Alabdulmohsin, Lucas Beyer, Julien Amelot, Kenton Lee, Andreas Peter Steiner, Yang Li, Daniel Keysers, Anurag Arnab, Yuanzhong Xu, Keran Rong, Alexander Kolesnikov, Mojtaba Seyedhosseini, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut:
PaLI-X: On Scaling up a Multilingual Vision and Language Model. CoRR abs/2305.18565 (2023) - [i7]Nikolaos-Antonios Ypsilantis, Kaifeng Chen, Bingyi Cao, Mário Lipovský, Pelin Dogan-Schönberger, Grzegorz Makosa, Boris Bluntschli, Mojtaba Seyedhosseini, Ondrej Chum, André Araújo:
Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge for Generic Image Representations. CoRR abs/2309.01858 (2023) - [i6]Kaifeng Chen, Daniel Salz, Huiwen Chang, Kihyuk Sohn, Dilip Krishnan, Mojtaba Seyedhosseini:
Improve Supervised Representation Learning with Masked Image Modeling. CoRR abs/2312.00950 (2023) - 2022
- [j7]Jiahui Yu, Zirui Wang, Vijay Vasudevan, Legg Yeung, Mojtaba Seyedhosseini, Yonghui Wu:
CoCa: Contrastive Captioners are Image-Text Foundation Models. Trans. Mach. Learn. Res. 2022 (2022) - [i5]Jiahui Yu, Zirui Wang, Vijay Vasudevan, Legg Yeung, Mojtaba Seyedhosseini, Yonghui Wu:
CoCa: Contrastive Captioners are Image-Text Foundation Models. CoRR abs/2205.01917 (2022) - [i4]Xi Chen, Xiao Wang
, Soravit Changpinyo, A. J. Piergiovanni, Piotr Padlewski, Daniel Salz, Sebastian Goodman, Adam Grycner, Basil Mustafa, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Nan Ding, Keran Rong, Hassan Akbari, Gaurav Mishra, Linting Xue, Ashish V. Thapliyal, James Bradbury, Weicheng Kuo, Mojtaba Seyedhosseini, Chao Jia, Burcu Karagol Ayan, Carlos Riquelme, Andreas Steiner, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut:
PaLI: A Jointly-Scaled Multilingual Language-Image Model. CoRR abs/2209.06794 (2022)
2010 – 2019
- 2016
- [j6]Mehdi Sajjadi, Mojtaba Seyedhosseini, Tolga Tasdizen:
Disjunctive normal networks. Neurocomputing 218: 276-285 (2016) - [j5]Mojtaba Seyedhosseini, Tolga Tasdizen:
Semantic Image Segmentation with Contextual Hierarchical Models. IEEE Trans. Pattern Anal. Mach. Intell. 38(5): 951-964 (2016) - [j4]Ting Liu, Mojtaba Seyedhosseini, Tolga Tasdizen:
Image Segmentation Using Hierarchical Merge Tree. IEEE Trans. Image Process. 25(10): 4596-4607 (2016) - 2015
- [j3]Mojtaba Seyedhosseini, Tolga Tasdizen:
Disjunctive normal random forests. Pattern Recognit. 48(3): 976-983 (2015) - [j2]Mehdi Sajjadi, Mojtaba Seyedhosseini, Tolga Tasdizen:
Nonlinear Regression with Logistic Product Basis Networks. IEEE Signal Process. Lett. 22(8): 1011-1015 (2015) - [i3]Ting Liu, Mojtaba Seyedhosseini, Tolga Tasdizen:
Image Segmentation Using Hierarchical Merge Tree. CoRR abs/1505.06389 (2015) - 2014
- [i2]Mojtaba Seyedhosseini, Tolga Tasdizen:
Scene Labeling with Contextual Hierarchical Models. CoRR abs/1402.0595 (2014) - [i1]Mehdi Sajjadi, Mojtaba Seyedhosseini, Tolga Tasdizen:
Disjunctive Normal Networks. CoRR abs/1412.8534 (2014) - 2013
- [j1]Mojtaba Seyedhosseini, Tolga Tasdizen:
Multi-Class Multi-Scale Series Contextual Model for Image Segmentation. IEEE Trans. Image Process. 22(11): 4486-4496 (2013) - [c9]Mojtaba Seyedhosseini, Mehdi Sajjadi, Tolga Tasdizen:
Image Segmentation with Cascaded Hierarchical Models and Logistic Disjunctive Normal Networks. ICCV 2013: 2168-2175 - [c8]Ting Liu, Mojtaba Seyedhosseini, Mark H. Ellisman, Tolga Tasdizen:
Watershed merge forest classification for electron microscopy image stack segmentation. ICIP 2013: 4069-4073 - [c7]Mojtaba Seyedhosseini, Mark H. Ellisman, Tolga Tasdizen:
Segmentation of mitochondria in electron microscopy images using algebraic curves. ISBI 2013: 860-863 - [c6]Cory Jay Jones, Mojtaba Seyedhosseini, Mark H. Ellisman, Tolga Tasdizen:
Neuron segmentation in electron microscopy images using partial differential equations. ISBI 2013: 1457-1460 - 2012
- [c5]Ting Liu, Elizabeth Jurrus, Mojtaba Seyedhosseini, Mark H. Ellisman, Tolga Tasdizen:
Watershed merge tree classification for electron microscopy image segmentation. ICPR 2012: 133-137 - 2011
- [c4]Mojtaba Seyedhosseini, António R. C. Paiva, Tolga Tasdizen:
Fast AdaBoost training using weighted novelty selection. IJCNN 2011: 1245-1250 - [c3]Mojtaba Seyedhosseini, Ritwik Kumar, Elizabeth Jurrus, Rick Giuly, Mark H. Ellisman, Hanspeter Pfister, Tolga Tasdizen:
Detection of Neuron Membranes in Electron Microscopy Images Using Multi-scale Context and Radon-Like Features. MICCAI (1) 2011: 670-677 - 2010
- [c2]Mojtaba Seyedhosseini, António R. C. Paiva, Tolga Tasdizen:
Image Parsing with a Three-State Series Neural Network Classifier. ICPR 2010: 4508-4511
2000 – 2009
- 2009
- [c1]Seyed Mojtaba Seyedhosseini Tarzjani, Shahrokh Ghaemmaghami:
Detection of LSB Replacement and LSB Matching Steganography Using Gray Level Run Length Matrix. IIH-MSP 2009: 787-790
Coauthor Index
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