論文執筆者をチェックする（Reseachers）

https://www.notion.so/jsaasarp/TTNet-Real-time-temporal-and-spatial-video-analysis-of-table-tennis-e2ee8823a2e04d99ac24838a552212fc?pvs=4 https://www.notion.so/jsaasarp/Automated-Offside-Detection-by-Spatio-Temporal-Analysis-of-Football-Videos-04e34a049f5346daa02f2a7e03d732d1?pvs=4 https://www.notion.so/jsaasarp/A-new-look-into-Off-ball-Scoring-Opportunity-taking-into-account-the-continuous-nature-of-the-game-d155467d5aa543bab4a5d1ec6ffce935?pvs=4 https://www.notion.so/jsaasarp/OBSO-Beyond-Expected-Goals-d112572808fb4718b0509c93b1acfe95?pvs=4 https://www.notion.so/jsaasarp/Thinking-the-GOAT-Imitating-Tennis-Styles-6e94730e9f7a4a008f90ec4381fa6638?pvs=4 https://www.notion.so/jsaasarp/Fine-grained-retrieval-of-sports-plays-using-tree-based-alignment-of-trajectories-e78a10640d4448ac9517a5146072e7e6?pvs=4 https://www.notion.so/jsaasarp/Learning-to-track-and-identify-players-from-broadcast-sports-videos-e7a628a8d9074fe89576a575ac8f6c20?pvs=4 https://www.notion.so/jsaasarp/An-examination-of-expected-goals-and-shot-efficiency-in-soccer-ffcd7fa51f074072a5c517a949dcfaa5?pvs=4 https://www.notion.so/jsaasarp/Evaluation-of-soccer-players-to-create-scoring-opportunities-for-teammates-based-on-their-trajectory-7ecfb6de8fff435cb80b0f70ff0bd6a1?pvs=4 https://www.notion.so/jsaasarp/SIMPLE-ONLINE-AND-REALTIME-TRACKING-WITH-A-DEEP-ASSOCIATION-METRIC-22e7a611b47447619e6d35640e2427b6?pvs=4 https://www.notion.so/jsaasarp/SportsTrack-An-Innovative-Method-for-Tracking-Athletes-in-Sports-Scenes-40d5f000b5934f74a295f0b2fc658f39?pvs=4 https://www.notion.so/jsaasarp/Spotting-Temporally-Precise-Fine-Grained-Events-in-Video-f409d1a783794234afa314c20c863eaa?pvs=4 https://www.notion.so/jsaasarp/A-Survey-on-Video-Action-Recognition-in-Sports-Datasets-Methods-and-Applications-ebacb293e7d346c28e557f8d0823b0cd?pvs=4 https://www.notion.so/jsaasarp/Segment-Anything-b1499a2b4e494f7183587b1cbcfdd41b?pvs=4 https://www.notion.so/jsaasarp/Group-Activity-Recognition-in-Basketball-Tracking-Data-Neural-Embeddings-in-Team-Sports-NETS-fcfd926e9a4749beb0b2c74a0b93c46d?pvs=4 https://www.notion.so/jsaasarp/Human-Action-Recognition-without-Human-30951eb70cdd4c6f90b1f108b52b2fee?pvs=4 https://www.notion.so/jsaasarp/Diverse-Generation-for-Multi-agent-Sports-Games-b769b949bf1b4dfb9c37efce698f687d?pvs=4 https://www.notion.so/jsaasarp/c54e5627b592485696ac7b6e86272be6?pvs=4 https://www.notion.so/jsaasarp/88e023de52864ba8996529d7637c8f35?pvs=4 https://www.notion.so/jsaasarp/High-Speed-Tiny-Tennis-Ball-Detection-Based-on-Deep-Convolutional-Neural-Networks-05d25a6399aa46e086d7088b7fff33e2?pvs=4 https://www.notion.so/jsaasarp/Slicing-Aided-Hyper-Inference-and-Fine-tuning-for-Small-Object-Detection-85c68b8188e54fcda05302e073d64251?pvs=4 https://www.notion.so/jsaasarp/Contrastive-Learning-for-Sports-Video-Unsupervised-Player-Classification-dbbe99a4f5eb43fc83a2a6f66d48d68c?pvs=4 https://www.notion.so/jsaasarp/TrajGAT-A-Graph-based-Long-term-Dependency-Modeling-Approach-for-Trajectory-Similarity-Computation-aec4afc3d77540929aee977531c17785?pvs=4 https://www.notion.so/jsaasarp/Jointly-Contrastive-Representation-Learning-on-Road-Network-and-Trajectory-fefb35feeb644ead83196a0f6eb30364?pvs=4 https://www.notion.so/jsaasarp/Trajectory-Similarity-Learning-with-Auxiliary-Supervision-and-Optimal-Matching-5dc531c526414e87b5bd51a590bbcacc?pvs=4 https://www.notion.so/jsaasarp/Spatio-Temporal-Trajectory-Similarity-Measures-A-Comprehensive-Survey-and-Quantitative-Study-57a66d20be18431eab8e17953e270484?pvs=4 https://www.notion.so/jsaasarp/A-Survey-on-Deep-Learning-based-Spatio-temporal-Action-Detection-3f81a80f645445d78b7846c9fcf32637?pvs=4 https://www.notion.so/jsaasarp/TriDet-Temporal-Action-Detection-with-Relative-Boundary-Modeling-452ac391e058403db96e06b198ed2736?pvs=4 https://www.notion.so/jsaasarp/Towards-Active-Learning-for-Action-Spotting-in-Association-Football-Videos-9a5975ecb78c4f02b6337bb7651fcd8e?pvs=4

High-Speed Tiny Tennis Ball Detection Based on Deep Convolutional Neural Networks

Slicing Aided Hyper Inference and Fine-tuning for Small Object Detection

A Survey on Deep Learning-based Spatio-temporal Action Detection

TriDet: Temporal Action Detection with Relative Boundary Modeling

Two-Stream Networks for Weakly-Supervised Temporal Action Localization with Semantic-Aware Mechanisms

A Method of Football‑Ofside Detection Using Multiple Cameras for an Automatic Linesman Assistance System

Use of deep learning in soccer videos analysis: survey

Segment Anything

TTNet: Real-time temporal and spatial video analysis of table tennis