| QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information M Tamura, H Ohashi, T Yoshinaga Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 236 | 2021 |
| Class-Wise Difficulty-Balanced Loss for Solving Class-Imbalance S Sinha, H Ohashi, K Nakamura Proceedings of the Asian Conference on Computer Vision, 2020 | 49 | 2020 |
| Augmenting wearable sensor data with physical constraint for DNN-based human-action recognition H Ohashi, M Al-Nasser, S Ahmed, T Akiyama, T Sato, P Nguyen, ... ICML 2017 Times Series Workshop, 6-11, 2017 | 45 | 2017 |
| Prompter: Utilizing Large Language Model Prompting for a Data Efficient Embodied Instruction Following Y Inoue, H Ohashi arXiv preprint arXiv:2211.03267, 2022 | 43 | 2022 |
| Class-Difficulty Based Methods for Long-Tailed Visual Recognition S Sinha, H Ohashi, K Nakamura International Journal of Computer Vision, 1-15, 2022 | 31 | 2022 |
| Hierarchical Model for Zero-shot Activity Recognition using Wearable Sensors. M Al-Naser, H Ohashi, S Ahmed, K Nakamura, T Akiyama, T Sato, ... ICAART (2), 478-485, 2018 | 29 | 2018 |
| Attributes’ Importance for Zero-Shot Pose-Classification Based on Wearable Sensors H Ohashi, M Al-Naser, S Ahmed, K Nakamura, T Sato, A Dengel Sensors 18 (8), 2485, 2018 | 28 | 2018 |
| Modality classification method based on the model of vibration generation while vehicles are running H Ohashi, T Akiyama, M Yamamoto, A Sato Proceedings of the Sixth ACM SIGSPATIAL International Workshop on …, 2013 | 21 | 2013 |
| User-friendly heading estimation for arbitrary smartphone orientations P Nguyen, T Akiyama, H Ohashi, G Nakahara, K Yamasaki, S Hikaru 2016 International Conference on Indoor Positioning and Indoor Navigation …, 2016 | 18 | 2016 |
| Simulated crowd: Towards a synthetic culture for engaging a learner in culture-dependent nonverbal interaction S Thovuttikul, D Lala, H Ohashi, S Okada, Y Ohmoto, T Nishida 2nd Workshop on Eye Gaze in Intelligent Human Machine Interaction, 55-62, 2011 | 18 | 2011 |
| User-friendly activity recognition using SVM classifier and informative features P Nguyen, T Akiyama, H Ohashi, G Nakahara, K Yamasaki, S Hikaru 2015 International Conference on Indoor Positioning and Indoor Navigation …, 2015 | 16 | 2015 |
| Pedestrian dead reckoning using adaptive particle filter to human moving mode T Akiyama, H Ohashi, A Sato, G Nakahara, K Yamasaki International Conference on Indoor Positioning and Indoor Navigation, 1-7, 2013 | 15 | 2013 |
| Influence Estimation for Generative Adversarial Networks N Terashita, H Ohashi, Y Nonaka, T Kanemaru arXiv preprint arXiv:2101.08367, 2021 | 14 | 2021 |
| Sensor-Augmented Egocentric-Video Captioning with Dynamic Modal Attention K Nakamura, H Ohashi, M Okada Proceedings of the 29th ACM International Conference on Multimedia, 4220-4229, 2021 | 11 | 2021 |
| How multiple concurrent users react to a quiz agent attentive to the dynamics of their game participation HH Huang, T Furukawa, H Ohashi, T Nishida, A Cerekovic, IS Pandzic, ... Proceedings of the 9th International Conference on Autonomous Agents and …, 2010 | 11 | 2010 |
| Automatic trip-separation method using sensor data continuously collected by smartphone H Ohashi, T Akiyama, M Yamamoto, A Sato 17th International IEEE Conference on Intelligent Transportation Systems …, 2014 | 10 | 2014 |
| Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition S Sinha, H Ohashi Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 9 | 2023 |
| OGaze: Gaze Prediction in Egocentric Videos for Attentional Object Selection M Al-Naser, SA Siddiqui, H Ohashi, S Ahmed, N Katsuyki, S Takuto, ... 2019 Digital Image Computing: Techniques and Applications (DICTA), 1-8, 2019 | 8 | 2019 |
| ICIE: immersive environment for social interaction based on socio-spacial information Y Ohmoto, H Ohashi, D Lala, S Mori, K Sakamoto, K Kinoshita, T Nishida 2011 International Conference on Technologies and Applications of Artificial …, 2011 | 8 | 2011 |
| Experience Filtering for Robot Navigation using Deep Reinforcement Learning. PX Nguyen, T Akiyama, H Ohashi ICAART (2), 243-249, 2018 | 7 | 2018 |
Katsuyuki NakamuraR&D Group., Hitachi, Ltd.Verified email at hitachi.com
