| Class-wise difficulty-balanced loss for solving class-imbalance S Sinha, H Ohashi, K Nakamura Proceedings of the Asian conference on computer vision, 2020 | 41 | 2020 |
| Class-difficulty based methods for long-tailed visual recognition S Sinha, H Ohashi, K Nakamura International Journal of Computer Vision 130 (10), 2517-2531, 2022 | 24 | 2022 |
| Use your head: Improving long-tail video recognition T Perrett, S Sinha, T Burghardt, M Mirmehdi, D Damen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 8 | 2023 |
| 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 …, 2022 | 7 | 2022 |
| MILA: memory-based instance-level adaptation for cross-domain object detection O Krishna, H Ohashi, S Sinha BMVC 2023, 2023 | 2 | 2023 |
| NII Hitachi UIT at TRECVID 2019. M Klinkigt, DD Le, A Hiroike, HQ Vo, M Chabra, Vu-Minh-Hieu Dang, ... TRECVID, 2019 | 2 | 2019 |
| Every Shot Counts: Using Exemplars for Repetition Counting in Videos S Sinha, A Stergiou, D Damen arXiv preprint arXiv:2403.18074, 2024 | | 2024 |
| Activity recognition based on egocentric object detection S Sinha, H Ohashi, M Okada, T Sato, K Nakamura IEICE Conferences Archives, 2019 | | 2019 |
| (2023). Use Your Head: Improving Long-Tail Video Recognition. Paper presented at IEEE/CVF Computer Vision and Pattern Recognition, Vancouver, Canada. https://arxiv. org/abs … TJ Perrett, S Sinha, T Burghardt, M Mirmehdi, D Damen | | |
Hiroki OhashiR&D group, Hitachi Ltd.Verified email at hitachi.com
