| Eventnet: Asynchronous recursive event processing Y Sekikawa, K Hara, H Saito Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 118 | 2019 |
| CorsNet: 3D point cloud registration by deep neural network A Kurobe, Y Sekikawa, K Ishikawa, H Saito IEEE Robotics and Automation Letters 5 (3), 3960-3966, 2020 | 85 | 2020 |
| Implicit neural representations for variable length human motion generation P Cervantes, Y Sekikawa, I Sato, K Shinoda European Conference on Computer Vision, 356-372, 2022 | 53 | 2022 |
| Toward unsupervised 3d point cloud anomaly detection using variational autoencoder M Masuda, R Hachiuma, R Fujii, H Saito, Y Sekikawa 2021 IEEE International Conference on Image Processing (ICIP), 3118-3122, 2021 | 28 | 2021 |
| Optical flow estimation by matching time surface with event-based cameras J Nagata, Y Sekikawa, Y Aoki Sensors 21 (4), 1150, 2021 | 21 | 2021 |
| Event-Based Camera Tracker by ∇tNeRF M Masuda, Y Sekikawa, H Saito IEEE Access 11, 96626-96635, 2023 | 14 | 2023 |
| Constant velocity 3D convolution Y Sekikawa, K Ishikawa, H Saito IEEE Access 6, 76490-76501, 2018 | 12 | 2018 |
| Accuracy and speed improvement of event camera motion estimation using a bird’s-eye view transformation T Ozawa, Y Sekikawa, H Saito Sensors 22 (3), 773, 2022 | 11 | 2022 |
| Bit-pruning: A sparse multiplication-less dot-product Y Sekikawa, S Yashima The Eleventh International Conference on Learning Representations, 2023 | 8 | 2023 |
| Tangentially elongated gaussian belief propagation for event-based incremental optical flow estimation J Nagata, Y Sekikawa Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
| Tabulated MLP for fast point feature embedding Y Sekikawa, T Suzuki arXiv preprint arXiv:1912.00790, 2019 | 6 | 2019 |
| Vehicle system, space area estimation method, and space area estimation apparatus K Chiba, K Teshima, Y Sekikawa, K Suzuki US Patent App. 17/039,215, 2021 | 5 | 2021 |
| Rethinking pointnet embedding for faster and compact model T Suzuki, K Ozawa, Y Sekikawa 2020 International Conference on 3D Vision (3DV), 791-800, 2020 | 5 | 2020 |
| QR-code reconstruction from event data via optimization in code subspace J Nagata, Y Sekikawa, K Hara, T Suzuki, Y Aoki Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 5 | 2020 |
| Coded lens: Using coded aperture for low-cost and versatile imaging Y Sekikawa, S Leigh, K Suzuki ACM SIGGRAPH 2014 Posters, 1-1, 2014 | 4 | 2014 |
| Neural implicit event generator for motion tracking M Masuda, Y Sekikawa, R Fujii, H Saito 2022 International Conference on Robotics and Automation (ICRA), 2200-2206, 2022 | 3 | 2022 |
| Snapshot multispectral image completion via self-dictionary transformed tensor nuclear norm minimization with total variation K Ozawa, S Sumiyoshi, Y Sekikawa, K Uto, Y Yoshida, M Ambai 2021 IEEE International Conference on Image Processing (ICIP), 364-368, 2021 | 2 | 2021 |
| FOE‐based regularization for optical flow estimation from an in‐vehicle event camera J Nagata, Y Sekikawa, K Hara, Y Aoki Electronics and Communications in Japan 103 (1-4), 19-25, 2020 | 2 | 2020 |
| FOE-based regularization for optical flow estimation from an in-vehicle event camera J Nagata, Y Sekikawa, K Hara, Y Aoki International Workshop on Advanced Image Technology (IWAIT) 2019 11049, 562-565, 2019 | 2 | 2019 |
| Recursive Contrast Maximization for Event-Based High-Frequency Motion Estimation T Ozawa, Y Sekikawa, H Saito IEEE Access 10, 125376-125386, 2022 | 1 | 2022 |
