29 citations · 54 across the 16 of their papers we have counts for
16 papers
MulCPred: Learning Multi-modal Concepts for Explainable Pedestrian Action Prediction
Yan Feng, Alexander Carballo, Keisuke Fujii +3
Pedestrian action prediction is of great significance for many applications such as autonomous driving. However, state-of-the-art methods lack explainability to make trustworthy pr…
DRUformer: Enhancing the driving scene Important object detection with driving relationship self-understanding
Yingjie Niu, Ming Ding, Keisuke Fujii +3
Traffic accidents frequently lead to fatal injuries, contributing to over 50 million deaths until 2023. To mitigate driving hazards and ensure personal safety, it is crucial to ass…
Automatic Edge Error Judgment in Figure Skating Using 3D Pose Estimation from a Monocular Camera and IMUs
Ryota Tanaka, Tomohiro Suzuki, Kazuya Takeda +1
Automatic evaluating systems are fundamental issues in sports technologies. In many sports, such as figure skating, automated evaluating methods based on pose estimation have been…
Runner re-identification from single-view running video in the open-world setting
Tomohiro Suzuki, Kazushi Tsutsui, Kazuya Takeda +1
In many sports, player re-identification is crucial for automatic video processing and analysis. However, most of the current studies on player re-identification in multi- or singl…
Compositional Semantics for Open Vocabulary Spatio-semantic Representations
Robin Karlsson, Francisco Lepe-Salazar, Kazuya Takeda
Vision-language models (VLMs) transform environment percepts into vision-language semantics interpretable by LLMs. However, completing complex tasks often requires reasoning about…
Action valuation of on- and off-ball soccer players based on multi-agent deep reinforcement learning
Hiroshi Nakahara, Kazushi Tsutsui, Kazuya Takeda +1
Analysis of invasive sports such as soccer is challenging because the game situation changes continuously in time and space, and multiple agents individually recognize the game sit…
Estimation of control area in badminton doubles with pose information from top and back view drone videos
Ning Ding, Kazuya Takeda, Wenhui Jin +2
The application of visual tracking to the performance analysis of sports players in dynamic competitions is vital for effective coaching. In doubles matches, coordinated positionin…
Learning to Predict Navigational Patterns from Partial Observations
Robin Karlsson, Alexander Carballo, Francisco Lepe-Salazar +3
Human beings cooperatively navigate rule-constrained environments by adhering to mutually known navigational patterns, which may be represented as directional pathways or road lane…
Predictive World Models from Real-World Partial Observations
Robin Karlsson, Alexander Carballo, Keisuke Fujii +2
Cognitive scientists believe adaptable intelligent agents like humans perform reasoning through learned causal mental simulations of agents and environments. The problem of learnin…
Automatic detection of faults in race walking from a smartphone camera: a comparison of an Olympic medalist and university athletes
Tomohiro Suzuki, Kazuya Takeda, Keisuke Fujii
Automatic fault detection is a major challenge in many sports. In race walking, referees visually judge faults according to the rules. Hence, ensuring objectivity and fairness whil…
Pitching strategy evaluation via stratified analysis using propensity score
Hiroshi Nakahara, Kazuya Takeda, Keisuke Fujii
Recent measurement technologies enable us to analyze baseball at higher levels. There are, however, still many unclear points around the pitching strategy. The two elements make it…
Evaluation of creating scoring opportunities for teammates in soccer via trajectory prediction
Masakiyo Teranishi, Kazushi Tsutsui, Kazuya Takeda +1
Evaluating the individual movements for teammates in soccer players is crucial for assessing teamwork, scouting, and fan engagement. It has been said that players in a 90-min game…
Improvement of Serial Approach to Anomalous Sound Detection by Incorporating Two Binary Cross-Entropies for Outlier Exposure
Ibuki Kuroyanagi, Tomoki Hayashi, Kazuya Takeda +1
Anomalous sound detection systems must detect unknown, atypical sounds using only normal audio data. Conventional methods use the serial method, a combination of outlier exposure (…
Estimating the Effect of Team Hitting Strategies Using Counterfactual Virtual Simulation in Baseball
Hiroshi Nakahara, Kazuya Takeda, Keisuke Fujii
In baseball, every play on the field is quantitatively evaluated and has an effect on individual and team strategies. The weighted on base average (wOBA) is well known as a measure…
Estimating counterfactual treatment outcomes over time in complex multiagent scenarios
Keisuke Fujii, Koh Takeuchi, Atsushi Kuribayashi +3
Evaluation of intervention in a multiagent system, e.g., when humans should intervene in autonomous driving systems and when a player should pass to teammates for a good shot, is c…
ViCE: Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment
Robin Karlsson, Tomoki Hayashi, Keisuke Fujii +3
Recent self-supervised models have demonstrated equal or better performance than supervised methods, opening for AI systems to learn visual representations from practically unlimit…