| Generalized intersection over union: A metric and a loss for bounding box regression H Rezatofighi, N Tsoi, JY Gwak, A Sadeghian, I Reid, S Savarese Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 6216 | 2019 |
| Sophie: An attentive gan for predicting paths compliant to social and physical constraints A Sadeghian, V Kosaraju, A Sadeghian, N Hirose, H Rezatofighi, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1180 | 2019 |
| Learning Social Etiquette: Human Trajectory Understanding In Crowded Scenes A Robicquet, A Sadeghian, A Alahi, S Savarese European Conference on Computer Vision, 549-565, 2016 | 1016 | 2016 |
| Social-bigat: Multimodal trajectory forecasting using bicycle-gan and graph attention networks A Sadeghian, V Kosaraju, R Martín-Martín, I Reid, SH Rezatofighi, ... arXiv preprint arXiv:1907.03395, 2019 | 778* | 2019 |
| Tracking the untrackable: Learning to track multiple cues with long-term dependencies A Sadeghian, A Alahi, S Savarese International Conference on Computer Vision, {ICCV} 2017, Venice, Italy …, 2017 | 709 | 2017 |
| CAR-Net: Clairvoyant Attentive Recurrent Network A Sadeghian, F Legros, M Voisin, R Vesel, A Alahi, S Savarese European Conference on Computer Vision (ECCV) 2018, 2017 | 172 | 2017 |
| Jrdb: A dataset and benchmark of egocentric robot visual perception of humans in built environments R Martin-Martin, M Patel, H Rezatofighi, A Shenoi, JY Gwak, E Frankel, ... IEEE transactions on pattern analysis and machine intelligence 45 (6), 6748-6765, 2021 | 154* | 2021 |
| Deep visual mpc-policy learning for navigation N Hirose, F Xia, R Martín-Martín, A Sadeghian, S Savarese IEEE Robotics and Automation Letters 4 (4), 3184-3191, 2019 | 103 | 2019 |
| Re-imagine the negative prompt algorithm: Transform 2d diffusion into 3d, alleviate janus problem and beyond M Armandpour, A Sadeghian, H Zheng, A Sadeghian, M Zhou arXiv preprint arXiv:2304.04968, 2023 | 102 | 2023 |
| Jrmot: A real-time 3d multi-object tracker and a new large-scale dataset A Shenoi, M Patel, JY Gwak, P Goebel, A Sadeghian, H Rezatofighi, ... 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 100 | 2020 |
| Deep local trajectory replanning and control for robot navigation A Pokle, R Martín-Martín, P Goebel, V Chow, HM Ewald, J Yang, Z Wang, ... 2019 international conference on robotics and automation (ICRA), 5815-5822, 2019 | 86 | 2019 |
| Learning social etiquette: Human trajectory prediction in crowded scenes A Robicquet, A Sadeghian, A Alahi, S Savarese European Conference on Computer Vision (ECCV) 2 (4), 5, 2016 | 81 | 2016 |
| Trajnet: Towards a benchmark for human trajectory prediction A Sadeghian, V Kosaraju, A Gupta, S Savarese, A Alahi arXiv preprint, 2018 | 78 | 2018 |
| GONet: A Semi-Supervised Deep Learning Approach For Traversability Estimation N Hirose, A Sadeghian, M Vázquez, P Goebel, S Savarese International Conference on Intelligent Robots and Systems, 2018, 2018 | 74 | 2018 |
| Learning to predict human behavior in crowded scenes A Alahi, V Ramanathan, K Goel, A Robicquet, AA Sadeghian, L Fei-Fei, ... Group and Crowd Behavior for Computer Vision, 183-207, 2017 | 64 | 2017 |
| Feature engineering for knowledge base construction C Ré, AA Sadeghian, Z Shan, J Shin, F Wang, S Wu, C Zhang IEEE Data Eng. Bull – 2014, 2014 | 61 | 2014 |
| Vunet: Dynamic scene view synthesis for traversability estimation using an rgb camera N Hirose, A Sadeghian, F Xia, R Martín-Martín, S Savarese IEEE Robotics and Automation Letters 4 (2), 2062-2069, 2019 | 42 | 2019 |
| Forecasting social navigation in crowded complex scenes A Robicquet, A Alahi, A Sadeghian, B Anenberg, J Doherty, E Wu, ... arXiv preprint arXiv:1601.00998, 2016 | 28 | 2016 |
| To go or not to go? A near unsupervised learning approach for robot navigation N Hirose, A Sadeghian, P Goebel, S Savarese arXiv preprint arXiv:1709.05439, 2017 | 27 | 2017 |
| Bag of words meets bags of popcorn A Sadeghian, AR Sharafat CS224N Proj, 4-9, 2015 | 12 | 2015 |
Silvio SavareseAssociate Professor of Computer Science at Stanford UniversityGeverifieerd e-mailadres voor stanford.edu