| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 7035 | 2023 |
| Coca: Contrastive captioners are image-text foundation models J Yu, Z Wang, V Vasudevan, L Yeung, M Seyedhosseini, Y Wu arXiv preprint arXiv:2205.01917, 2022 | 2082 | 2022 |
| Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities G Comanici, E Bieber, M Schaekermann, I Pasupat, N Sachdeva, I Dhillon, ... arXiv preprint arXiv:2507.06261, 2025 | 1266 | 2025 |
| Pali: A jointly-scaled multilingual language-image model X Chen, X Wang, S Changpinyo, AJ Piergiovanni, P Padlewski, D Salz, ... arXiv preprint arXiv:2209.06794, 2022 | 1020 | 2022 |
| Crowdsourcing the creation of image segmentation algorithms for connectomics I Arganda-Carreras, SC Turaga, DR Berger, D Cireşan, A Giusti, ... Frontiers in neuroanatomy 9, 152591, 2015 | 424 | 2015 |
| Pali-x: On scaling up a multilingual vision and language model X Chen, J Djolonga, P Padlewski, B Mustafa, S Changpinyo, J Wu, ... arXiv preprint arXiv:2305.18565, 2023 | 278 | 2023 |
| Image segmentation with cascaded hierarchical models and logistic disjunctive normal networks M Seyedhosseini, M Sajjadi, T Tasdizen Proceedings of the IEEE international conference on computer vision, 2168-2175, 2013 | 132 | 2013 |
| A workflow for the automatic segmentation of organelles in electron microscopy image stacks AJ Perez, M Seyedhosseini, TJ Deerinck, EA Bushong, S Panda, ... Frontiers in neuroanatomy 8, 126, 2014 | 86 | 2014 |
| A modular hierarchical approach to 3D electron microscopy image segmentation T Liu, C Jones, M Seyedhosseini, T Tasdizen Journal of neuroscience methods 226, 88-102, 2014 | 84 | 2014 |
| Semantic image segmentation with contextual hierarchical models M Seyedhosseini, T Tasdizen IEEE transactions on pattern analysis and machine intelligence 38 (5), 951-964, 2015 | 72 | 2015 |
| Image segmentation using hierarchical merge tree T Liu, M Seyedhosseini, T Tasdizen IEEE transactions on image processing 25 (10), 4596-4607, 2016 | 65 | 2016 |
| Watershed merge tree classification for electron microscopy image segmentation T Liu, E Jurrus, M Seyedhosseini, M Ellisman, T Tasdizen Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 63 | 2012 |
| Gemini embedding: Generalizable embeddings from gemini J Lee, F Chen, S Dua, D Cer, M Shanbhogue, I Naim, GH Ábrego, Z Li, ... arXiv preprint arXiv:2503.07891, 2025 | 53 | 2025 |
| Detection of neuron membranes in electron microscopy images using multi-scale context and radon-like features M Seyedhosseini, R Kumar, E Jurrus, R Giuly, M Ellisman, H Pfister, ... International Conference on Medical Image Computing and Computer-assisted …, 2011 | 43 | 2011 |
| Multi-class multi-scale series contextual model for image segmentation M Seyedhosseini, T Tasdizen IEEE transactions on image processing 22 (11), 4486-4496, 2013 | 42 | 2013 |
| Segmentation of mitochondria in electron microscopy images using algebraic curves M Seyedhosseini, MH Ellisman, T Tasdizen 2013 IEEE 10th International Symposium on Biomedical Imaging, 860-863, 2013 | 36 | 2013 |
| Disjunctive normal random forests M Seyedhosseini, T Tasdizen Pattern Recognition 48 (3), 976-983, 2015 | 33 | 2015 |
| Towards universal image embeddings: A large-scale dataset and challenge for generic image representations NA Ypsilantis, K Chen, B Cao, M Lipovský, P Dogan-Schönberger, ... Proceedings of the ieee/cvf international conference on computer vision …, 2023 | 30 | 2023 |
| Pali: A jointly-scaled multilingual language-image model, 2022 X Chen, X Wang, S Changpinyo, A Piergiovanni, P Padlewski, D Salz, ... URL https://arxiv. org/abs/2209.06794, 2023 | 27 | 2023 |
| Fast adaboost training using weighted novelty selection M Seyedhosseini, ARC Paiva, T Tasdizen The 2011 International Joint Conference on Neural Networks, 1245-1250, 2011 | 27 | 2011 |
Tolga TasdizenUniversity of UtahVerified email at sci.utah.edu
