Coded Lens: using coded aperture for low-cost and versatile imaging. - Yusuke Sekikawa; Sang-won Leigh; Koichiro Suzuki (SIGGRAPH Posters, 2014)

Fast Eigen Matching. - Yusuke Sekikawa; Koichiro Suzuki; Yuichi Yoshida; Kosuke Hara; Ikuro Sato (BMVC, 2016)

Constant Velocity 3D Convolution. - Yusuke Sekikawa; Kohta Ishikawa; Kosuke Hara; Yuichi Yoshida; Koichiro Suzuki; Ikuro Sato; Hideo Saito (3DV, 2018)

Constant Velocity 3D Convolution. - Yusuke Sekikawa; Kohta Ishikawa; Hideo Saito (IEEE Access, 2018)

EventNet: Asynchronous Recursive Event Processing. - Yusuke Sekikawa; Kosuke Hara; Hideo Saito (CVPR, 2019)

Learning an Optimisable Semantic Segmentation Map with Image Conditioned Variational Autoencoder. - Pengcheng Zhuang; Yusuke Sekikawa; Kosuke Hara; Hideo Saito (ICIAP (2), 2019)

Tabulated MLP for Fast Point Feature Embedding. - Yusuke Sekikawa; Teppei Suzuki (CoRR, 2019)

Rethinking PointNet Embedding for Faster and Compact Model. - Teppei Suzuki; Keisuke Ozawa; Yusuke Sekikawa (3DV, 2020)

QR-code Reconstruction from Event Data via Optimization in Code Subspace. - Jun Nagata; Yusuke Sekikawa; Kosuke Hara; Teppei Suzuki; Yoshimitsu Aoki (WACV, 2020)

Irregularly Tabulated MLP for Fast Point Feature Embedding. - Yusuke Sekikawa; Teppei Suzuki (CoRR, 2020)

CorsNet: 3D Point Cloud Registration by Deep Neural Network. - Akiyoshi Kurobe; Yusuke Sekikawa; Kohta Ishikawa; Hideo Saito (IEEE Robotics Autom. Lett., 2020)

Learning to Sparsify Differences of Synaptic Signal for Efficient Event Processing. - Yusuke Sekikawa; Keisuke Uto (BMVC, 2021)

Toward Unsupervised 3d Point Cloud Anomaly Detection Using Variational Autoencoder. - Mana Masuda; Ryo Hachiuma; Ryo Fujii; Hideo Saito; Yusuke Sekikawa (ICIP, 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 (ICIP, 2021)

Optical Flow Estimation by Matching Time Surface with Event-Based Cameras. - Jun Nagata; Yusuke Sekikawa; Yoshimitsu Aoki (Sensors, 2021)

Implicit Neural Representations for Variable Length Human Motion Generation. - Pablo Cervantes; Yusuke Sekikawa; Ikuro Sato; Koichi Shinoda (ECCV (17), 2022)

Neural Implicit Event Generator for Motion Tracking. - Mana Masuda; Yusuke Sekikawa; Ryo Fujii; Hideo Saito (ICRA, 2022)

Recursive Contrast Maximization for Event-Based High-Frequency Motion Estimation. - Takehiro Ozawa; Yusuke Sekikawa; Hideo Saito (IEEE Access, 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)

Tangentially Elongated Gaussian Belief Propagation for Event-Based Incremental Optical Flow Estimation. - Jun Nagata; Yusuke Sekikawa (CVPR, 2023)

Live Demonstration: Tangentially Elongated Gaussian Belief Propagation for Event-based Incremental Optical Flow Estimation. - Yusuke Sekikawa; Jun Nagata (CVPR Workshops, 2023)

Bit-Pruning: A Sparse Multiplication-Less Dot-Product. - Yusuke Sekikawa; Shingo Yashima (ICLR, 2023)

Event-Based Camera Tracker by ∇tNeRF. - Mana Masuda; Yusuke Sekikawa; Hideo Saito (IEEE Access, 2023)

Event-based Camera Tracker by ∇t NeRF. - Mana Masuda; Yusuke Sekikawa; Hideo Saito (CoRR, 2023)

Gumbel-NeRF: Representing Unseen Objects as Part-Compositional Neural Radiance Fields. - Yusuke Sekikawa; Chingwei Hsu; Satoshi Ikehata; Rei Kawakami; Ikuro Sato (ICIP, 2024)

SAS: Structured Activation Sparsification. - Yusuke Sekikawa; Shingo Yashima (ICLR, 2024)

Integrating Generative and Contrastive Approaches for Human Action Recognition. - Pablo Cervantes; Yusuke Sekikawa; Ikuro Sato; Koichi Shinoda (IEEE Access, 2025)

Masked Gated Linear Unit. - Yukito Tajima; Nakamasa Inoue; Yusuke Sekikawa; Ikuro Sato; Rio Yokota (CoRR, 2025)