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Shinji Sako
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2020 – today
- 2023
- [j4]Teppei Miura, Shinji Sako:
Simple yet effective 3D ego-pose lift-up based on vector and distance for a mounted omnidirectional camera. Appl. Intell. 53(3): 2616-2628 (2023) - [c28]Bogdan Kwolek, Shinji Sako:
Dynamic Hand Gesture Recognition for Human-Robot Collaborative Assembly. ICAISC (1) 2023: 112-121 - [c27]Teppei Miura, Shinji Sako, Tsutomu Kimura:
3D Ego-Pose Lift-Up Robustness Study for Fisheye Camera Perturbations. VISIGRAPP (4: VISAPP) 2023: 600-606 - 2021
- [j3]Bogdan Kwolek, Wojciech Baczynski, Shinji Sako:
Recognition of JSL fingerspelling using Deep Convolutional Neural Networks. Neurocomputing 456: 586-598 (2021) - [c26]Teppei Miura, Shinji Sako:
SynSLaG: Synthetic Sign Language Generator. ASSETS 2021: 90:1-90:4 - 2020
- [j2]Teppei Miura, Shinji Sako:
3D human pose estimation model using location-maps for distorted and disconnected images by a wearable omnidirectional camera. IPSJ Trans. Comput. Vis. Appl. 12(1): 4 (2020) - [c25]Yuji Nagashima, Keiko Watanabe, Daisuke Hara, Yasuo Horiuchi, Shinji Sako, Akira Ichikawa:
Constructing a Highly Accurate Japanese Sign Language Motion Database Including Dialogue. HCI (40) 2020: 76-81
2010 – 2019
- 2019
- [c24]Nam Tu Nguen, Shinji Sako, Bogdan Kwolek:
Deep CNN-Based Recognition of JSL Finger Spelling. HAIS 2019: 602-613 - [c23]Keiko Watanabe, Yuji Nagashima, Daisuke Hara, Yasuo Horiuchi, Shinji Sako, Akira Ichikawa:
Construction of a Japanese Sign Language Database with Various Data Types. HCI (33) 2019: 317-322 - 2017
- [c22]Bogdan Kwolek, Shinji Sako:
Learning Siamese Features for Finger Spelling Recognition. ACIVS 2017: 225-236 - [c21]Shohei Awata, Shinji Sako, Tadashi Kitamura:
Japanese Sign Language Recognition Based on Three Elements of Sign Using Kinect v2 Sensor. HCI (29) 2017: 95-102 - [c20]Hana Hosoe, Shinji Sako, Bogdan Kwolek:
Recognition of JSL finger spelling using convolutional neural networks. MVA 2017: 85-88 - 2016
- [c19]Shinji Sako, Mika Hatano, Tadashi Kitamura:
Real-Time Japanese Sign Language Recognition Based on Three Phonological Elements of Sign. HCI (27) 2016: 130-136 - 2015
- [c18]Shinji Sako, Wakana Nagata, Tadashi Kitamura:
Violin Fingering Estimation According to the Performer's Skill Level Based on Conditional Random Field. HCI (2) 2015: 485-494 - [c17]Mika Hatano, Shinji Sako, Tadashi Kitamura:
Contour-based Hand Pose Recognition for Sign Language Recognition. SLPAT@Interspeech 2015: 17-21 - 2014
- [c16]Shinji Sako, Ryuichi Yamamoto, Tadashi Kitamura:
Ryry: A Real-Time Score-Following Automatic Accompaniment Playback System Capable of Real Performances with Errors, Repeats and Jumps. AMT 2014: 134-145 - [c15]Filip Malawski, Bogdan Kwolek, Shinji Sako:
Using Kinect for Facial Expression Recognition under Varying Poses and Illumination. AMT 2014: 395-406 - [c14]Shinji Sako, Ai Zukawa, Tadashi Kitamura:
A Study on Query-by-Any-Word Based Music Retrieval System. HCI (26) 2014: 228-233 - [c13]Wakana Nagata, Shinji Sako, Tadashi Kitamura:
Violin Fingering Estimation According to Skill Level based on Hidden Markov Model. ICMC 2014 - [c12]Kenta Okumura, Shinji Sako, Tadashi Kitamura:
Laminae: A stochastic modeling-based autonomous performance rendering system that elucidates performer characteristics. ICMC 2014 - 2013
- [c11]Shinji Sako, Tadashi Kitamura:
Subunit Modeling for Japanese Sign Language Recognition Based on Phonetically Depend Multi-stream Hidden Markov Models. HCI (6) 2013: 548-555 - [c10]Ryuichi Yamamoto, Shinji Sako, Tadashi Kitamura:
Robust on-line algorithm for real-time audio-to-score alignment based on a delayed decision and anticipation framework. ICASSP 2013: 191-195 - 2011
- [c9]Kenta Okumura, Shinji Sako, Tadashi Kitamura:
Stochastic Modeling of a Musical Performance with Expressive Representations from the Musical Score. ISMIR 2011: 531-536 - 2010
- [c8]Koki Ariga, Shinji Sako, Tadashi Kitamura:
HMM-based sign recognition in consideration of motion diversity. IUCS 2010: 258-261
2000 – 2009
- 2009
- [j1]Mihoko Otake, Ryo Fukano, Shinji Sako, Masao Sugi, Kiyoshi Kotani, Junya Hayashi, Hiroshi Noguchi, Ryuichi Yoneda, Kenjiro Taura, Nobuyuki Otsu, Tomomasa Sato:
Autonomous collaborative environment for project-based learning. Robotics Auton. Syst. 57(2): 134-138 (2009) - [c7]Satoru Fukayama, Kei Nakatsuma, Shinji Sako, Yuichiro Yonebayashi, Tae Hun Kim, Si Wei Qin, Takuho Nakano, Takuya Nishimoto, Shigeki Sagayama:
Orpheus: Automatic Composition System Considering Prosody of Japanese Lyrics. ICEC 2009: 309-310 - 2007
- [c6]Ikumi Ota, Ryo Yamamoto, Shinji Sako, Shigeki Sagayama:
Online Handwritten Kanji Recognition Based on Inter-stroke Grammar. ICDAR 2007: 1188-1192 - [c5]Heiga Zen, Takashi Nose, Junichi Yamagishi, Shinji Sako, Takashi Masuko, Alan W. Black, Keiichi Tokuda:
The HMM-based speech synthesis system (HTS) version 2.0. SSW 2007: 294-299 - 2006
- [c4]Takuya Nishimoto, Shinji Sako, Shigeki Sagayama, Kazue Ohshima, Koichi Oda, Takayuki Watanabe:
Effect of Learning on Listening to Ultra-Fast Synthesized Speech. EMBC 2006: 5691-5694 - [c3]Mihoko Otake, Ryo Fukano, Shinji Sako, Masao Sugi, Kiyoshi Kotani, Junya Hayashi, Hiroshi Noguchi, Ryuichi Yoneda, Kenjiro Taura, Nobuyuki Otsu, Tomomasa Sato:
Autonomous Collaborative Environment for Project Based Learning. IAS 2006: 756-763 - 2003
- [c2]Takahiro Hoshiya, Shinji Sako, Heiga Zen, Keiichi Tokuda, Takashi Masuko, Takao Kobayashi, Tadashi Kitamura:
Improving the performance of HMM-based very low bit rate speech coding. ICASSP (1) 2003: 800-803 - 2000
- [c1]Shinji Sako, Keiichi Tokuda, Takashi Masuko, Takao Kobayashi, Tadashi Kitamura:
HMM-based text-to-audio-visual speech synthesis. INTERSPEECH 2000: 25-28
Coauthor Index
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