Local feature reliability measure using multiview synthetic images for mobile visual search. - Kohei Matsuzaki; Yusuke Uchida; Shigeyuki Sakazawa; Shin'ichi Satoh 001 (ACPR, 2015)

Geometric verification using semi-2D constraints for 3D object retrieval. - Kohei Matsuzaki; Yusuke Uchida; Shigeyuki Sakazawa; Shin'ichi Satoh 001 (ICPR, 2016)

A Compact Map Representation for Large-scale Environments and Localization Method based on Similarity Measure. - Kohei Matsuzaki; Hiromasa Yanagihara (Intelligent Vehicles Symposium, 2018)

Local Feature Reliability Measure Consistent with Match Conditions for Mobile Visual Search. - Kohei Matsuzaki; Kazuyuki Tasaka; Hiromasa Yanagihara (IEICE Trans. Inf. Syst., 2018)

Binary Representation for 3D Point Cloud Compression based on Deep Auto-Encoder. - Kohei Matsuzaki; Kazuyuki Tasaka (GCCE, 2019)

Representation Learning via Parallel Subset Reconstruction for 3D Point Cloud Generation. - Kohei Matsuzaki; Kazuyuki Tasaka (IROS, 2019)

Relative Viewpoint Estimation Based on Structured 3d Representation Alignment. - Kohei Matsuzaki; Kei Kawamura (ICASSP, 2022)

Point Cloud Sampling Preserving Local Geometry for Surface Reconstruction. - Kohei Matsuzaki; Keisuke Nonaka (BMVC, 2023)

Rate-Distortion Optimized Variable-Node-size Trisoup for Point Cloud Coding. - Kyohei Unno; Kohei Matsuzaki; Satoshi Komorita; Kei Kawamura (ICASSP, 2023)

Coarse to Fine Recursive Image-based Localization on a $3 mathrm{D}$ Mesh Map. - Yohei Hanaoka; Kohei Matsuzaki; Satoshi Komorita (VR Workshops, 2023)

Learnable Point Cloud Sampling Considering Seed Point for Neural Surface Reconstruction. - Kohei Matsuzaki; Keisuke Nonaka (IEEE Access, 2024)

Point Cloud Color Upsampling with Attention-Based Coarse Colorization and Refinement. - Kohei Matsuzaki; Keisuke Nonaka (WACV, 2025)

MDLPCC: Misalignment-aware dynamic LiDAR point cloud compression. - Ao Luo; Linxin Song; Keisuke Nonaka; Jinming Liu 001; Kyohei Unno; Kohei Matsuzaki; Heming Sun; Jiro Katto (J. Vis. Commun. Image Represent., 2025)