| Xnor-net: Imagenet classification using binary convolutional neural networks M Rastegari, V Ordonez, J Redmon, A Farhadi European conference on computer vision, 525-542, 2016 | 5936 | 2016 |
| The llama 3 herd of models A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ... arXiv preprint arXiv:2407.21783, 2024 | 2267 | 2024 |
| Mobilevit: light-weight, general-purpose, and mobile-friendly vision transformer S Mehta, M Rastegari arXiv preprint arXiv:2110.02178, 2021 | 1662 | 2021 |
| Espnet: Efficient spatial pyramid of dilated convolutions for semantic segmentation S Mehta, M Rastegari, A Caspi, L Shapiro, H Hajishirzi Proceedings of the european conference on computer vision (ECCV), 552-568, 2018 | 1087 | 2018 |
| Ok-vqa: A visual question answering benchmark requiring external knowledge K Marino, M Rastegari, A Farhadi, R Mottaghi Proceedings of the IEEE/cvf conference on computer vision and pattern …, 2019 | 1037 | 2019 |
| Espnetv2: A light-weight, power efficient, and general purpose convolutional neural network S Mehta, M Rastegari, L Shapiro, H Hajishirzi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 583 | 2019 |
| Iqa: Visual question answering in interactive environments D Gordon, A Kembhavi, M Rastegari, J Redmon, D Fox, A Farhadi Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 466 | 2018 |
| What's hidden in a randomly weighted neural network? V Ramanujan, M Wortsman, A Kembhavi, A Farhadi, M Rastegari Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 393 | 2020 |
| Supermasks in superposition M Wortsman, V Ramanujan, R Liu, A Kembhavi, M Rastegari, J Yosinski, ... Advances in Neural Information Processing Systems 33, 15173-15184, 2020 | 322 | 2020 |
| Separable self-attention for mobile vision transformers S Mehta, M Rastegari arXiv preprint arXiv:2206.02680, 2022 | 309 | 2022 |
| G-cnn: an iterative grid based object detector M Najibi, M Rastegari, LS Davis Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 264 | 2016 |
| Learning to learn how to learn: Self-adaptive visual navigation using meta-learning M Wortsman, K Ehsani, M Rastegari, A Farhadi, R Mottaghi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 262 | 2019 |
| Label refinery: Improving imagenet classification through label progression H Bagherinezhad, M Horton, M Rastegari, A Farhadi arXiv preprint arXiv:1805.02641, 2018 | 242 | 2018 |
| Attribute discovery via predictable discriminative binary codes M Rastegari, A Farhadi, D Forsyth Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 228 | 2012 |
| Newtonian scene understanding: Unfolding the dynamics of objects in static images R Mottaghi, H Bagherinezhad, M Rastegari, A Farhadi Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 181 | 2016 |
| Lcnn: Lookup-based convolutional neural network H Bagherinezhad, M Rastegari, A Farhadi Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 151 | 2017 |
| Mobilevit: Light-weight, general-purpose, and mobile-friendly vision transformer. arXiv 2021 S Mehta, M Rastegari arXiv preprint arXiv:2110.02178, 0 | 151 | |
| Predictable Dual-View Hashing M Rastegari, J Choi, S Fakhraei, H Daumé III, LS Davis International Conference on Machine Learning (ICML 2013), 2013 | 142 | 2013 |
| Sam-clip: Merging vision foundation models towards semantic and spatial understanding H Wang, PKA Vasu, F Faghri, R Vemulapalli, M Farajtabar, S Mehta, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 126 | 2024 |
| “What happens if...” learning to predict the effect of forces in images R Mottaghi, M Rastegari, A Gupta, A Farhadi Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 126 | 2016 |
Ali FarhadiProfessor, Computer Science and Engineering, University of Washington確認したメール アドレス: cs.uw.edu