| Shapenet: An information-rich 3d model repository AX Chang, T Funkhouser, L Guibas, P Hanrahan, Q Huang, Z Li, ... arXiv preprint arXiv:1512.03012, 2015 | 5957 | 2015 |
| 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 | 5759 | 2019 |
| Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models J Li, D Li, S Savarese, S Hoi International conference on machine learning, 19730-19742, 2023 | 3967 | 2023 |
| Social lstm: Human trajectory prediction in crowded spaces A Alahi, K Goel, V Ramanathan, A Robicquet, L Fei-Fei, S Savarese Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 3758 | 2016 |
| Social gan: Socially acceptable trajectories with generative adversarial networks A Gupta, J Johnson, L Fei-Fei, S Savarese, A Alahi Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 2391 | 2018 |
| Active learning for convolutional neural networks: A core-set approach O Sener, S Savarese arXiv preprint arXiv:1708.00489, 2017 | 2125 | 2017 |
| Deep metric learning via lifted structured feature embedding H Oh Song, Y Xiang, S Jegelka, S Savarese Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 2056 | 2016 |
| 3d semantic parsing of large-scale indoor spaces I Armeni, O Sener, AR Zamir, H Jiang, I Brilakis, M Fischer, S Savarese Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 2049 | 2016 |
| 3d-r2n2: A unified approach for single and multi-view 3d object reconstruction CB Choy, D Xu, JY Gwak, K Chen, S Savarese Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 2029 | 2016 |
| 4d spatio-temporal convnets: Minkowski convolutional neural networks C Choy, JY Gwak, S Savarese Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1950 | 2019 |
| Learning to track at 100 fps with deep regression networks D Held, S Thrun, S Savarese Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 1546 | 2016 |
| Taskonomy: Disentangling task transfer learning AR Zamir, A Sax, W Shen, LJ Guibas, J Malik, S Savarese Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 1446 | 2018 |
| Structural-rnn: Deep learning on spatio-temporal graphs A Jain, AR Zamir, S Savarese, A Saxena Proceedings of the ieee conference on computer vision and pattern …, 2016 | 1386 | 2016 |
| Densefusion: 6d object pose estimation by iterative dense fusion C Wang, D Xu, Y Zhu, R Martín-Martín, C Lu, L Fei-Fei, S Savarese Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1159 | 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 | 1132 | 2019 |
| Joint 2D-3D semantic data for indoor scene understanding I Armeni arXiv preprint arXiv:1702.01105, 2017 | 1019 | 2017 |
| Learning social etiquette: Human trajectory understanding in crowded scenes A Robicquet, A Sadeghian, A Alahi, S Savarese Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 980 | 2016 |
| Beyond pascal: A benchmark for 3d object detection in the wild Y Xiang, R Mottaghi, S Savarese IEEE winter conference on applications of computer vision, 75-82, 2014 | 975 | 2014 |
| Segcloud: Semantic segmentation of 3d point clouds L Tchapmi, C Choy, I Armeni, JY Gwak, S Savarese 2017 international conference on 3D vision (3DV), 537-547, 2017 | 967 | 2017 |
| Codegen: An open large language model for code with multi-turn program synthesis E Nijkamp, B Pang, H Hayashi, L Tu, H Wang, Y Zhou, S Savarese, ... arXiv preprint arXiv:2203.13474, 2022 | 899 | 2022 |
