2 citations · 3 across the 5 of their papers we have counts for
5 papers
BFMD: A Full-Match Badminton Dense Dataset for Dense Shot Captioning
Ning Ding, Keisuke Fujii, Toru Tamaki
Understanding tactical dynamics in badminton requires analyzing entire matches rather than isolated clips. However, existing badminton datasets mainly focus on short clips or task-…
Evaluating Movement Initiation Timing in Ultimate Frisbee via Temporal Counterfactuals
Shunsuke Iwashita, Ning Ding, Keisuke Fujii
Ultimate is a sport where points are scored by passing a disc and catching it in the opposing team's end zone. In Ultimate, the player holding the disc cannot move, making field dy…
TrackID3x3: A Dataset and Algorithm for Multi-Player Tracking with Identification and Pose Estimation in 3x3 Basketball Full-court Videos
Kazuhiro Yamada, Li Yin, Qingrui Hu +6
Multi-object tracking, player identification, and pose estimation are fundamental components of sports analytics, essential for analyzing player movements, performance, and tactica…
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…