| On the effectiveness of image rotation for open set domain adaptation S Bucci, MR Loghmani, T Tommasi European conference on computer vision, 422-438, 2020 | 158 | 2020 |
| Recognizing objects in-the-wild: Where do we stand? MR Loghmani, B Caputo, M Vincze 2018 IEEE International Conference on Robotics and Automation (ICRA), 2170-2177, 2018 | 46 | 2018 |
| Recurrent convolutional fusion for RGB-D object recognition MR Loghmani, M Planamente, B Caputo, M Vincze IEEE Robotics and Automation Letters 4 (3), 2878-2885, 2019 | 44 | 2019 |
| Unsupervised domain adaptation through inter-modal rotation for rgb-d object recognition MR Loghmani, L Robbiano, M Planamente, K Park, B Caputo, M Vincze IEEE Robotics and Automation Letters 5 (4), 6631-6638, 2020 | 29 | 2020 |
| Positive-unlabeled learning for open set domain adaptation MR Loghmani, M Vincze, T Tommasi Pattern Recognition Letters 136, 198-204, 2020 | 24 | 2020 |
| Emotional intelligence in robots: Recognizing human emotions from daily-life gestures MR Loghmani, S Rovetta, G Venture 2017 IEEE international conference on robotics and automation (ICRA), 1677-1684, 2017 | 23 | 2017 |
| Reconstruct & crush network E Merdivan, MR Loghmani, M Geist Advances in Neural Information Processing Systems 30, 2017 | 8 | 2017 |
| Best practices on personalization and adaptive interaction techniques in the scope of Smart Homes and Active Assisted Living N Liappas, JG Terius-Padron, E Machado, MR Loghmani, ... 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2019 | 6 | 2019 |
| Towards socially assistive robots for elderly: An end-to-end object search framework MR Loghmani, T Patten, M Vincze 2018 IEEE International Conference on Pervasive Computing and Communications …, 2018 | 6 | 2018 |
| Multimodal deep domain adaptation S Bucci, MR Loghmani, B Caputo arXiv preprint arXiv:1807.11697, 2018 | 4 | 2018 |
| Unsupervised user segment discovery system MR Loghmani, M Antari US Patent 11,625,442, 2023 | 2 | 2023 |
| Providing purchase intent predictions using session data for targeting users S Dayan, MR Loghmani US Patent 11,869,047, 2024 | 1 | 2024 |
| Effects of task-dependent robot errors on trust in human-robot interaction: A pilot study MR Loghmani, C Haider, Y Chebotarev, C Tsiourti, M Vincze 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2019 | 1 | 2019 |
| Unsupervised user segment discovery system MR Loghmani, M Antari US Patent 11,960,553, 2024 | | 2024 |
| Unsupervised user segment discovery system MR Loghmani, M Antari US Patent 11,954,158, 2024 | | 2024 |
| Object classification for robot vision through RGB-D recognition and domain adaptation MR Loghmani Technische Universität Wien, 2020 | | 2020 |
| A recurrent multi-scale approach to RBG-D Object Recognition M Planamente, MR Loghmani, B Caputo arXiv preprint arXiv:1808.01357, 2018 | | 2018 |
