4 citations · 9 across the 7 of their papers we have counts for
9 papers
Exact Second-Order Asymptotics for the Gaussian Gray--Wyner Problem
Lin Zhou, Lei Yu
We revisit the Gray-Wyner problem of lossy compression of bivariate Gaussian sources under the quadratic distortion measure and derive the exact second-order asymptotics. Specifica…
Prediction-based evaluation of back-four defense with spatial control in soccer
Soujanya Dash, Kenjiro Ide, Rikuhei Umemoto +2
Defensive organization is critical in soccer, particularly during negative transitions when teams are most vulnerable. The back-four defensive line plays a decisive role in prevent…
Velocity Completion Task and Method for Event-based Player Positional Data in Soccer
Rikuhei Umemoto, Keisuke Fujii
In many real-world complex systems, the behavior can be observed as a collection of discrete events generated by multiple interacting agents. Analyzing the dynamics of these multi-…
Space evaluation at the starting point of soccer transitions
Yohei Ogawa, Rikuhei Umemoto, Keisuke Fujii
Soccer is a sport played on a pitch where effective use of space is crucial. Decision-making during transitions, when possession switches between teams, has been increasingly impor…
SoccerSynth-Detection: A Synthetic Dataset for Soccer Player Detection
Haobin Qin, Calvin Yeung, Rikuhei Umemoto +1
In soccer video analysis, player detection is essential for identifying key events and reconstructing tactical positions. The presence of numerous players and frequent occlusions,…
Space evaluation based on pitch control using drone video in Ultimate
Shunsuke Iwashita, Atom Scott, Rikuhei Umemoto +2
Ultimate is a sport in which teams of seven players compete for points by passing a disc into the end zone. A distinctive aspect of Ultimate is that the player holding the disc is…
TeamTrack: A Dataset for Multi-Sport Multi-Object Tracking in Full-pitch Videos
Atom Scott, Ikuma Uchida, Ning Ding +7
Multi-object tracking (MOT) is a critical and challenging task in computer vision, particularly in situations involving objects with similar appearances but diverse movements, as s…
Evaluating Soccer Match Prediction Models: A Deep Learning Approach and Feature Optimization for Gradient-Boosted Trees
Calvin Yeung, Rory Bunker, Rikuhei Umemoto +1
Machine learning models have become increasingly popular for predicting the results of soccer matches, however, the lack of publicly-available benchmark datasets has made model eva…
Location analysis of players in UEFA EURO 2020 and 2022 using generalized valuation of defense by estimating probabilities
Rikuhei Umemoto, Kazushi Tsutsui, Keisuke Fujii
Analyzing defenses in team sports is generally challenging because of the limited event data. Researchers have previously proposed methods to evaluate football team defense by pred…