Yusuke Sekikawa

According to our database, Yusuke Sekikawa authored at least 25 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

SAS: Structured Activation Sparsification.

Yusuke Sekikawa, Shingo Yashima

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Event-based Camera Tracker by ∇t NeRF.

Mana Masuda, Yusuke Sekikawa, Hideo Saito

CoRR, 2023

Event-Based Camera Tracker by ∇_tNeRF.

Mana Masuda, Yusuke Sekikawa, Hideo Saito

IEEE Access, 2023

Bit-Pruning: A Sparse Multiplication-Less Dot-Product.

Yusuke Sekikawa, Shingo Yashima

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Live Demonstration: Tangentially Elongated Gaussian Belief Propagation for Event-based Incremental Optical Flow Estimation.

Yusuke Sekikawa, Jun Nagata

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Tangentially Elongated Gaussian Belief Propagation for Event-Based Incremental Optical Flow Estimation.

Jun Nagata, Yusuke Sekikawa

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Accuracy and Speed Improvement of Event Camera Motion Estimation Using a Bird's-Eye View Transformation.

Takehiro Ozawa, Yusuke Sekikawa, Hideo Saito

Sensors, 2022

Recursive Contrast Maximization for Event-Based High-Frequency Motion Estimation.

Takehiro Ozawa, Yusuke Sekikawa, Hideo Saito

IEEE Access, 2022

Neural Implicit Event Generator for Motion Tracking.

Mana Masuda, Yusuke Sekikawa, Ryo Fujii, Hideo Saito

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Implicit Neural Representations for Variable Length Human Motion Generation.

Pablo Cervantes, Yusuke Sekikawa, Ikuro Sato, Koichi Shinoda

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Optical Flow Estimation by Matching Time Surface with Event-Based Cameras.

Jun Nagata, Yusuke Sekikawa, Yoshimitsu Aoki

Sensors, 2021

Snapshot Multispectral Image Completion Via Self-Dictionary Transformed Tensor Nuclear Norm Minimization With Total Variation.

Keisuke Ozawa, Shinichi Sumiyoshi, Yusuke Sekikawa, Keisuke Uto, Yuichi Yoshida, Mitsuru Ambai

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Toward Unsupervised 3d Point Cloud Anomaly Detection Using Variational Autoencoder.

Mana Masuda, Ryo Hachiuma, Ryo Fujii, Hideo Saito, Yusuke Sekikawa

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Learning to Sparsify Differences of Synaptic Signal for Efficient Event Processing.

Yusuke Sekikawa, Keisuke Uto

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

CorsNet: 3D Point Cloud Registration by Deep Neural Network.

Akiyoshi Kurobe, Yusuke Sekikawa, Kohta Ishikawa, Hideo Saito

IEEE Robotics Autom. Lett., 2020

Irregularly Tabulated MLP for Fast Point Feature Embedding.

Yusuke Sekikawa, Teppei Suzuki

CoRR, 2020

QR-code Reconstruction from Event Data via Optimization in Code Subspace.

Jun Nagata, Yusuke Sekikawa, Kosuke Hara, Teppei Suzuki, Yoshimitsu Aoki

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Rethinking PointNet Embedding for Faster and Compact Model.

Teppei Suzuki, Keisuke Ozawa, Yusuke Sekikawa

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

Tabulated MLP for Fast Point Feature Embedding.

Yusuke Sekikawa, Teppei Suzuki

CoRR, 2019

Learning an Optimisable Semantic Segmentation Map with Image Conditioned Variational Autoencoder.

Pengcheng Zhuang, Yusuke Sekikawa, Kosuke Hara, Hideo Saito

Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

EventNet: Asynchronous Recursive Event Processing.

Yusuke Sekikawa, Kosuke Hara, Hideo Saito

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Constant Velocity 3D Convolution.

Yusuke Sekikawa, Kohta Ishikawa, Hideo Saito

IEEE Access, 2018

Constant Velocity 3D Convolution.

Yusuke Sekikawa, Kohta Ishikawa, Kosuke Hara, Yuichi Yoshida, Koichiro Suzuki, Ikuro Sato, Hideo Saito

Proceedings of the 2018 International Conference on 3D Vision, 2018

2016

Fast Eigen Matching.

Yusuke Sekikawa, Koichiro Suzuki, Yuichi Yoshida, Kosuke Hara, Ikuro Sato

Proceedings of the British Machine Vision Conference 2016, 2016

2014

Coded Lens: using coded aperture for low-cost and versatile imaging.

Yusuke Sekikawa, Sang-won Leigh, Koichiro Suzuki

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2014