| Deep vit features as dense visual descriptors S Amir, Y Gandelsman, S Bagon, T Dekel arXiv preprint arXiv:2112.05814 2 (3), 4, 2021 | 211 | 2021 |
| K9-blyzer: Towards video-based automatic analysis of canine behavior S Amir, A Zamansky, D van der Linden Proceedings of the Fourth International Conference on Animal-Computer …, 2017 | 23 | 2017 |
| Explainable automated recognition of emotional states from canine facial expressions: the case of positive anticipation and frustration T Boneh-Shitrit, M Feighelstein, A Bremhorst, S Amir, T Distelfeld, ... Scientific reports 12 (1), 22611, 2022 | 20 | 2022 |
| Effects of anxiety on canine movement in dog-robot interactions A Zamansky, S Bleuer-Elsner, S Masson, S Amir, O Magen, ... Anim. Behav. Cogn 5, 380-387, 2018 | 12 | 2018 |
| On the effectiveness of vit features as local semantic descriptors S Amir, Y Gandelsman, S Bagon, T Dekel European Conference on Computer Vision, 39-55, 2022 | 6 | 2022 |
| Deep learning models for automated classification of dog emotional states from facial expressions T Boneh-Shitrit, S Amir, A Bremhorst, DS Mills, S Riemer, D Fried, ... arXiv preprint arXiv:2206.05619, 2022 | 6 | 2022 |
| Disentangling Structure and Appearance in ViT Feature Space N Tumanyan, O Bar-Tal, S Amir, S Bagon, T Dekel ACM Transactions on Graphics 43 (1), 1-16, 2023 | 2 | 2023 |
| Automatic video analysis of motion-based dog behavior S Amir Proceedings of the Fourth International Conference on Animal-Computer …, 2017 | 2 | 2017 |
| Explainable automated recognition of emotional states from canine facial expressions: the case of positive anticipation and frustration A Zamansky, A Bremhorst, I Shimshoni, M Feighelstein, S Yaroshetsky, ... University of Lincoln, 0 | | |
