no code implementations • 29 May 2023 • Hiroshi Nakahara, Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii
In this paper, we propose a method of valuing possible actions for on- and off-ball soccer players in a single holistic framework based on multi-agent deep reinforcement learning.
no code implementations • 7 May 2023 • Ning Ding, Kazuya Takeda, Wenhui Jin, Yingjiu Bei, Keisuke Fujii
In this work, we present the first annotated drone dataset from top and back views in badminton doubles and propose a framework to estimate the control area probability map, which can be used to evaluate teamwork performance.
no code implementations • 26 Apr 2023 • Robin Karlsson, Alexander Carballo, Francisco Lepe-Salazar, Keisuke Fujii, Kento Ohtani, Kazuya Takeda
We demonstrate how to infer global navigational patterns by fitting a maximum likelihood graph to the DSLP field.
Ranked #1 on Lane Detection on nuScenes
1 code implementation • 12 Jan 2023 • Robin Karlsson, Alexander Carballo, Keisuke Fujii, Kento Ohtani, Kazuya Takeda
By extending HVAEs to cases where complete ground truth states do not exist, we facilitate continual learning of spatial prediction as a step towards realizing explainable and comprehensive predictive world models for real-world mobile robotics applications.
1 code implementation • 24 Aug 2022 • Tomohiro Suzuki, Kazuya Takeda, Keisuke Fujii
We also revealed that the machine learning model detects faults according to the rules of race walking.
no code implementations • 16 Jul 2022 • Yafu Tian, Alexander Carballo, Ruifeng Li, Kazuya Takeda
Behavioral and semantic relationships play a vital role on intelligent self-driving vehicles and ADAS systems.
no code implementations • 4 Jun 2022 • Hiroshi Nakahara, Kazuya Takeda, Keisuke Fujii
The weighted on base average (wOBA) is well known as a measure of an batter's hitting contribution.
1 code implementation • 4 Jun 2022 • Masakiyo Teranishi, Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii
However, it has remained difficult to evaluate an attacking player without receiving the ball, and to reveal how movement contributes to the creation of scoring opportunities for teammates.
no code implementations • 4 Jun 2022 • Keisuke Fujii, Koh Takeuchi, Atsushi Kuribayashi, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda
Evaluation of intervention in a multi-agent system, e. g., when humans should intervene in autonomous driving systems and when a player should pass to teammates for a good shot, is challenging in various engineering and scientific fields.
1 code implementation • 24 Nov 2021 • Robin Karlsson, Tomoki Hayashi, Keisuke Fujii, Alexander Carballo, Kento Ohtani, Kazuya Takeda
Recent self-supervised models have demonstrated equal or better performance than supervised methods, opening for AI systems to learn visual representations from practically unlimited data.
1 code implementation • 5 Jul 2021 • Robin Karlsson, David Robert Wong, Simon Thompson, Kazuya Takeda
A formal road lane network model is presented and proves that any structured road scene can be represented by a directed acyclic graph of at most depth three while retaining the notion of intersection regions, and that this is the most compressed representation.
no code implementations • 11 Jun 2021 • Ibuki Kuroyanagi, Tomoki Hayashi, Kazuya Takeda, Tomoki Toda
Our results showed that multi-task learning using binary classification and metric learning to consider the distance from each class centroid in the feature space is effective, and performance can be significantly improved by using even a small amount of anomalous data during training.
1 code implementation • 27 Nov 2020 • Yafu Tian, Alexander Carballo, Ruifeng Li, Kazuya Takeda
And this provides us a great opportunity to think about how shall these data be organized and exploited.
2 code implementations • 7 Jul 2020 • Keisuke Fujii, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda
Extracting the rules of real-world biological multi-agent behaviors is a current challenge in various scientific and engineering fields.
no code implementations • 3 Apr 2020 • Alexander Carballo, Abraham Monrroy, David Wong, Patiphon Narksri, Jacob Lambert, Yuki Kitsukawa, Eijiro Takeuchi, Shinpei Kato, Kazuya Takeda
In this work, we present a detailed comparison of ten different 3D LiDAR sensors, covering a range of manufacturers, models, and laser configurations, for the tasks of mapping and vehicle localization, using as common reference the Normal Distributions Transform (NDT) algorithm implemented in the self-driving open source platform Autoware.
no code implementations • 13 Mar 2020 • Alexander Carballo, Jacob Lambert, Abraham Monrroy-Cano, David Robert Wong, Patiphon Narksri, Yuki Kitsukawa, Eijiro Takeuchi, Shinpei Kato, Kazuya Takeda
In this work, we present LIBRE: LiDAR Benchmarking and Reference, a first-of-its-kind dataset featuring 10 different LiDAR sensors, covering a range of manufacturers, models, and laser configurations.
no code implementations • 3 Feb 2020 • Takenori Yoshimura, Tomoki Hayashi, Kazuya Takeda, Shinji Watanabe
The proposed method is publicly available.
3 code implementations • 24 Oct 2019 • Tomoki Hayashi, Ryuichi Yamamoto, Katsuki Inoue, Takenori Yoshimura, Shinji Watanabe, Tomoki Toda, Kazuya Takeda, Yu Zhang, Xu Tan
Furthermore, the unified design enables the integration of ASR functions with TTS, e. g., ASR-based objective evaluation and semi-supervised learning with both ASR and TTS models.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 12 Jun 2019 • Ekim Yurtsever, Jacob Lambert, Alexander Carballo, Kazuya Takeda
Automated driving systems (ADSs) promise a safe, comfortable and efficient driving experience.
Robotics Systems and Control Systems and Control
3 code implementations • 7 Jun 2019 • Ekim Yurtsever, Yongkang Liu, Jacob Lambert, Chiyomi Miyajima, Eijiro Takeuchi, Kazuya Takeda, John H. L. Hansen
The best result, with a 0. 937 AUC score, was obtained with the proposed network.
no code implementations • 29 Sep 2018 • Shogo Seki, Hirokazu Kameoka, Li Li, Tomoki Toda, Kazuya Takeda
This paper deals with a multichannel audio source separation problem under underdetermined conditions.
no code implementations • 28 Jul 2018 • Tomoki Hayashi, Shinji Watanabe, Yu Zhang, Tomoki Toda, Takaaki Hori, Ramon Astudillo, Kazuya Takeda
In this paper we propose a novel data augmentation method for attention-based end-to-end automatic speech recognition (E2E-ASR), utilizing a large amount of text which is not paired with speech signals.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
no code implementations • 22 Apr 2018 • Tomoki Hayashi, Shinji Watanabe, Tomoki Toda, Kazuya Takeda
This paper presents a new network architecture called multi-head decoder for end-to-end speech recognition as an extension of a multi-head attention model.
no code implementations • LREC 2012 • Sunao Hara, Norihide Kitaoka, Kazuya Takeda
In this paper, we analyze the causes of task completion errors in spoken dialog systems, using a decision tree with N-gram features of the dialog to detect task-incomplete dialogs.