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Yusuke Sekikawa
Yusuke Sekikawa
Dense IT Laboratoty
Verified email at d-itlab.co.jp
Title
Cited by
Cited by
Year
Eventnet: Asynchronous recursive event processing
Y Sekikawa, K Hara, H Saito
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
972019
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
742020
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
372022
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
182021
Optical flow estimation by matching time surface with event-based cameras
J Nagata, Y Sekikawa, Y Aoki
Sensors 21 (4), 1150, 2021
142021
Portable device
Y Sekikawa, T Kosugiyama, T Ogata
US Patent App. 12/620,883, 2010
132010
Constant velocity 3D convolution
Y Sekikawa, K Ishikawa, H Saito
IEEE Access 6, 76490-76501, 2018
122018
Event-based Camera Tracker by ∇tNeRF
M Masuda, Y Sekikawa, H Saito
IEEE Access, 2023
92023
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
92022
Tabulated MLP for fast point feature embedding
Y Sekikawa, T Suzuki
arXiv preprint arXiv:1912.00790, 2019
62019
Bit-pruning: A sparse multiplication-less dot-product
Y Sekikawa, S Yashima
The Eleventh International Conference on Learning Representations, 2022
52022
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
52021
Rethinking pointnet embedding for faster and compact model
T Suzuki, K Ozawa, Y Sekikawa
2020 International Conference on 3D Vision (3DV), 791-800, 2020
42020
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
42020
Coded lens: Using coded aperture for low-cost and versatile imaging
Y Sekikawa, S Leigh, K Suzuki
ACM SIGGRAPH 2014 Posters, 1-1, 2014
42014
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
22022
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
22021
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
22020
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
22019
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
12023
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