Eventnet: Asynchronous recursive event processing Y Sekikawa, K Hara, H Saito Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 97 | 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 | 74 | 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 | 37 | 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 | 18 | 2021 |
Optical flow estimation by matching time surface with event-based cameras J Nagata, Y Sekikawa, Y Aoki Sensors 21 (4), 1150, 2021 | 14 | 2021 |
Portable device Y Sekikawa, T Kosugiyama, T Ogata US Patent App. 12/620,883, 2010 | 13 | 2010 |
Constant velocity 3D convolution Y Sekikawa, K Ishikawa, H Saito IEEE Access 6, 76490-76501, 2018 | 12 | 2018 |
Event-based Camera Tracker by ∇tNeRF M Masuda, Y Sekikawa, H Saito IEEE Access, 2023 | 9 | 2023 |
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 | 9 | 2022 |
Tabulated MLP for fast point feature embedding Y Sekikawa, T Suzuki arXiv preprint arXiv:1912.00790, 2019 | 6 | 2019 |
Bit-pruning: A sparse multiplication-less dot-product Y Sekikawa, S Yashima The Eleventh International Conference on Learning Representations, 2022 | 5 | 2022 |
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 | 4 | 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 | 4 | 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 | 2 | 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 |
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 | 1 | 2023 |