| Activity Forecasting KM Kitani, BD Ziebart, JA Bagnell, M Hebert European Conference on Computer Vision (ECCV 2012), 2012 | 576 | 2012 |
| Pixel-level Hand Detection in Egocentric Videos C Li, KM Kitani Conference on Computer Vision and Pattern Recognition (CVPR), 3570-3577, 2013 | 251 | 2013 |
| 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 | 236 | 2011 |
| Going deeper into first-person activity recognition M Ma, H Fan, KM Kitani Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 212 | 2016 |
| 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 | 142 | 2016 |
| 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 | 136 | 2015 |
| 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 | 103 | 2017 |
| Deep supervised hashing with triplet labels X Wang, Y Shi, KM Kitani Asian conference on computer vision, 70-84, 2016 | 97 | 2016 |
| Action-reaction: Forecasting the dynamics of human interaction DA Huang, KM Kitani European Conference on Computer Vision, 489-504, 2014 | 89 | 2014 |
| Coupling Eye-Motion and Ego-Motion features for First-Person Activity Recognition K Ogaki, KM Kitani, Y Sugano, Y Sato CVPR Workshop on Egocentric Vision, 2012 | 87 | 2012 |
| 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 | 83 | 2017 |
| 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 | 82 | 2017 |
| 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 | 79 | 2018 |
| 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 | 78 | 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 | 74 | 2017 |
| Using individuality to track individuals: Clustering individual trajectories in crowds using local appearance and frequency trait D Sugimura, KM Kitani, T Okabe, Y Sato, A Sugimoto 2009 IEEE 12th International Conference on Computer Vision, 1467-1474, 2009 | 73 | 2009 |
| Model Recommendation with Virtual Probes for Egocentric Hand Detection C Li, KM Kitani International Conference on Computer Vision, 2013 | 72 | 2013 |
| EdgeSonic: image feature sonification for the visually impaired T Yoshida, KM Kitani, H Koike, S Belongie, K Schlei Proceedings of the 2nd Augmented Human International Conference, 1-4, 2011 | 68 | 2011 |
| Precog: Prediction conditioned on goals in visual multi-agent settings N Rhinehart, R McAllister, K Kitani, S Levine Proceedings of the IEEE International Conference on Computer Vision, 2821-2830, 2019 | 62 | 2019 |
| Recognizing micro-actions and reactions from paired egocentric videos R Yonetani, KM Kitani, Y Sato Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 56 | 2016 |
Chieko AsakawaIBM ResearchVerified email at jp.ibm.com
