| Activity Forecasting KM Kitani, BD Ziebart, JA Bagnell, M Hebert European Conference on Computer Vision (ECCV 2012), 2012 | 845 | 2012 |
| Human motion trajectory prediction: A survey A Rudenko, L Palmieri, M Herman, KM Kitani, DM Gavrila, KO Arras The International Journal of Robotics Research 39 (8), 895-935, 2020 | 556 | 2020 |
| Going deeper into first-person activity recognition M Ma, H Fan, KM Kitani Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 364 | 2016 |
| Pixel-level Hand Detection in Egocentric Videos C Li, KM Kitani Conference on Computer Vision and Pattern Recognition (CVPR), 3570-3577, 2013 | 321 | 2013 |
| Precog: Prediction conditioned on goals in visual multi-agent settings N Rhinehart, R McAllister, K Kitani, S Levine Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 291 | 2019 |
| Fast unsupervised ego-action learning for first-person sports videos KM Kitani, T Okabe, Y Sato, A Sugimoto Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on …, 2011 | 289 | 2011 |
| NavCog: a navigational cognitive assistant for the blind D Ahmetovic, C Gleason, C Ruan, K Kitani, H Takagi, C Asakawa Proceedings of the 18th International Conference on Human-Computer …, 2016 | 247 | 2016 |
| 3d multi-object tracking: A baseline and new evaluation metrics X Weng, J Wang, D Held, K Kitani 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 238 | 2020 |
| R2p2: A reparameterized pushforward policy for diverse, precise generative path forecasting N Rhinehart, KM Kitani, P Vernaza Proceedings of the European Conference on Computer Vision (ECCV), 772-788, 2018 | 225 | 2018 |
| Monocular 3d object detection with pseudo-lidar point cloud X Weng, K Kitani Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 221 | 2019 |
| Rethinking transformer-based set prediction for object detection Z Sun, S Cao, Y Yang, KM Kitani Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 209 | 2021 |
| Ego4d: Around the world in 3,000 hours of egocentric video K Grauman, A Westbury, E Byrne, Z Chavis, A Furnari, R Girdhar, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 202 | 2022 |
| Deep supervised hashing with triplet labels X Wang, Y Shi, KM Kitani Computer Vision–ACCV 2016: 13th Asian Conference on Computer Vision, Taipei …, 2017 | 192 | 2017 |
| Learning Scene-Specific Pedestrian Detectors without Real Data. H Hattori, V Bodetti, KM Kitani, T Kanade Conference on Computer Vision and Pattern Recognition (CVPR), 2015 | 181 | 2015 |
| Agentformer: Agent-aware transformers for socio-temporal multi-agent forecasting Y Yuan, X Weng, Y Ou, KM Kitani Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 176 | 2021 |
| N2n learning: Network to network compression via policy gradient reinforcement learning A Ashok, N Rhinehart, F Beainy, KM Kitani arXiv preprint arXiv:1709.06030, 2017 | 176 | 2017 |
| Forecasting interactive dynamics of pedestrians with fictitious play WC Ma, DA Huang, N Lee, KM Kitani Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 174 | 2017 |
| Gnn3dmot: Graph neural network for 3d multi-object tracking with 2d-3d multi-feature learning X Weng, Y Wang, Y Man, KM Kitani Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 158 | 2020 |
| Navcog3: An evaluation of a smartphone-based blind indoor navigation assistant with semantic features in a large-scale environment D Sato, U Oh, K Naito, H Takagi, K Kitani, C Asakawa Proceedings of the 19th International ACM SIGACCESS Conference on Computers …, 2017 | 140 | 2017 |
| First-person activity forecasting with online inverse reinforcement learning N Rhinehart, KM Kitani Proceedings of the IEEE International Conference on Computer Vision, 3696-3705, 2017 | 136 | 2017 |
Xinshuo WengResearch Scientist, NVIDIA ResearchVerified email at nvidia.com
