Computer vision
Technology
NTT Human Informatics Laboratories aims to map the real world itself into the cyber world and make it possible to simulate it in time and space. We are researching technologies for analyzing information, such as video, sound, and 3D point clouds for the simulation. We call the cyber world, which reflects the real world itself, the "Ultra Realistic Metaverse." We use the ultra realistic metaverse to realize communication that transcends distance and time. Our aim is to extend human activities and capabilities.
Research
- 3D point clouds processing
- Video and audio media processing
Publications
2026
Conference Papers
- Shogo Sato, Ryuichi Tanida, Kazuhiko Murasaki, Akisato Kimura, Takuhiro Kaneko, Tomoyasu Shimada, Shoichiro Takeda, "IPCD: Intrinsic Point-Cloud Decomposition", WACV, 2026.
2025
Conference Papers
- Shogo Sato, Takuhiro Kaneko, Kazuhiko Murasaki, Taiga Yoshida, Ryuichi Tanida, Akisato Kimura, "Unsupervised Single-Image Intrinsic Image Decomposition with LiDAR Intensity Enhanced Training", WACV, 2025.
- Toshihiko Nishimura, Hirofumi Abe, Kazuhiko Murasaki, Taiga Yoshida, Ryuichi Tanida, "Leveraging 2D-VLM for Label-Free 3D Segmentation in Large-Scale Outdoor Scene Understanding", MVA, 2025.
- Kazuhiko Murasaki, Shunsuke Konagai, Masakatsu Aoki, Taiga Yoshida, Ryuichi Tanida, "A Fast LiDAR Point Cloud Densification Method for Real-Time Spatial Transmission Systems", MVA, 2025.
- Takahiro Matsumoto, Masafumi Suzuki, Mariko Yamaguchi, Masakatsu Aoki, Shunsuke Konagai, Kazuhiko Murasaki, "A Low-Latency 3D Live Remote Visualization System for Tourist Sites Integrating Dynamic and Pre-captured Static Point Clouds", ISMAR, 2025.
- Takahiro Matsumoto, Takahiro Kusabuka, Hiroshi Chigira, Kazuhiko Murasaki, Kakagu Komazaki, Hirofumi Suzuki, Masakatsu Aoki, "The Stage Comes to You: A Real-Time Tele-Immersive System with 3D Point Clouds and Vibrotactile Feedback", SIGGRAPH Asia, 2025.
Other Publications
- Takahiro Matsumoto, Hiroshi Chigira, Kazuhiko Murasaki, Takahiro Kusabuka, Masakatsu Aoki, Masafumi Suzuki, Kakagu Komazaki, Shunsuke Konagai, Mariko Yamaguchi, Taiga Yoshida, Ryuichi Tanida, Takayoshi, "IOWN × Spatial Transmission —A Communication Experience in which Distant Spaces Become as One",NTT Technical Review Vol.23, No.10, 2025.
Awards
- MVA25' Best Paper Award: Toshihiko Nishimura, Hirofumi Abe, Kazuhiko Murasaki, Taiga Yoshida, Ryuichi Tanida, "Leveraging 2D-VLM for Label-Free 3D Segmentation in Large-Scale Outdoor Scene Understanding", MVA, 2025.
2024
Conference Papers
- Tomoyasu Shimada, Kazuhiko Murasaki, Shogo Sato, Toshihiko Nishimura, Taiga Yoshida, Ryuichi Tanida, "Memory-Efficient Point Cloud Registration via Overlapping Region Sampling", VCIP, 2024.
2023
Journal Papers
- Shogo Sato, Yasuhiro Yao, Taiga Yoshida, Shingo Ando, Jun Shimamura, "Shadow Detection Based on Luminance-LiDAR Intensity Uncorrelation", IEICE Transactions on Information and Systems, 2023.
Conference Papers
- Shogo Sato, Yasuhiro Yao, Taiga Yoshida, Takuhiro Kaneko, Shingo Ando, Jun Shimamura, "Unsupervised Intrinsic Image Decomposition with LiDAR Intensity", CVPR, 2023.
2022
Journal Papers
- Kazuhiko Murasaki, Shingo Ando, Jun Shimamura, "Semi-Supervised Representation Learning via Triplet Loss Based on Explicit Class Ratio of Unlabeled Data", IEICE Trans. Inf. Syst., 2022.
- Kana Kurata, Yasuhiro Yao, Shingo Ando, Naoki Ito, and Jun Shimamura, "Aggregative Input Convolution for Large-scale Point Cloud Semantic Segmentation", IIEEJ Transactions on Image Electronics and Visual Computing, 2022.
2021
Journal Papers
- Yasuhiro Yao, Ryoichi Ishikawa, Shingo Ando, Kana Kurata, Naoki Ito, Jun Shimamura, Takeshi Oishi, "Non-Learning Stereo-Aided Depth Completion Under Mis-Projection via Selective Stereo Matching", IEEE Access, 2021.
- Motohiro Takagi, Kazuya Hayase, Masaki Kitahara, Jun Shimamura, "Building Change Detection by Using Past Map Information and Optical Aerial Images", IEICE Trans. Inf. Syst. , 2021.
Conference Papers
- Kana Kurata, Yasuhiro Yao, Shingo Ando, Naoki Ito and Jun Shimamura, "Aggregative Input Convolution for Large-Scale Point Cloud Semantic Segmentation", IEVC, 2021