Copertina

TennisTV: Do Multimodal Large Language Models Understand Tennis Rallies?

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Bao, Zhongyuan, Zhang, Lejun
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

TennisExpert: Towards Expert-Level Analytical Sports Video Understanding
di: Liu, Zhaoyu, et al.
Pubblicazione: (2026)

Classification of Tennis Actions Using Deep Learning
di: Hovad, Emil, et al.
Pubblicazione: (2024)

TT3D: Table Tennis 3D Reconstruction
di: Gossard, Thomas, et al.
Pubblicazione: (2025)

An Event-Based Perception Pipeline for a Table Tennis Robot
di: Ziegler, Andreas, et al.
Pubblicazione: (2025)

Locating Tennis Ball Impact on the Racket in Real Time Using an Event Camera
di: Kase, Yuto, et al.
Pubblicazione: (2025)

How good was my shot? Quantifying Player Skill Level in Table Tennis
di: Kubota, Akihiro, et al.
Pubblicazione: (2026)

BlurBall: Joint Ball and Motion Blur Estimation for Table Tennis Ball Tracking
di: Gossard, Thomas, et al.
Pubblicazione: (2025)

Pose2Trajectory: Using Transformers on Body Pose to Predict Tennis Player's Trajectory
di: AlShami, Ali K., et al.
Pubblicazione: (2024)

Accurate Tennis Court Line Detection on Amateur Recorded Matches
di: Agrawal, Sameer, et al.
Pubblicazione: (2024)

LATTE-MV: Learning to Anticipate Table Tennis Hits from Monocular Videos
di: Etaat, Daniel, et al.
Pubblicazione: (2025)

Do Multimodal Large Language Models Understand Welding?
di: Khvatskii, Grigorii, et al.
Pubblicazione: (2025)

Automated Tennis Player and Ball Tracking with Court Keypoints Detection (Hawk Eye System)
di: Desu, Venkata Manikanta, et al.
Pubblicazione: (2025)

TT4D: A Pipeline and Dataset for Table Tennis 4D Reconstruction From Monocular Videos
di: Rahmanian, Nima, et al.
Pubblicazione: (2026)

Enhancing Sports Strategy with Video Analytics and Data Mining: Automated Video-Based Analytics Framework for Tennis Doubles
di: Chen, Jia Wei
Pubblicazione: (2025)

P2ANet: A Dataset and Benchmark for Dense Action Detection from Table Tennis Match Broadcasting Videos
di: Bian, Jiang, et al.
Pubblicazione: (2022)

Do Large Language Models Understand Data Visualization Rules?
di: Sinnona, Martin, et al.
Pubblicazione: (2026)

Do Large Language Models Understand Data Visualization Principles?
di: Sinnona, Martin, et al.
Pubblicazione: (2026)

Can Large Vision-Language Models Understand Multimodal Sarcasm?
di: Wang, Xinyu, et al.
Pubblicazione: (2025)

Talking Tennis: Language Feedback from 3D Biomechanical Action Recognition
di: Dashore, Arushi, et al.
Pubblicazione: (2025)

EventGPT: Event Stream Understanding with Multimodal Large Language Models
di: Liu, Shaoyu, et al.
Pubblicazione: (2024)

Can Multimodal Large Language Models Understand Spatial Relations?
di: Liu, Jingping, et al.
Pubblicazione: (2025)

MusiXQA: Advancing Visual Music Understanding in Multimodal Large Language Models
di: Chen, Jian, et al.
Pubblicazione: (2025)

Towards Ball Spin and Trajectory Analysis in Table Tennis Broadcast Videos via Physically Grounded Synthetic-to-Real Transfer
di: Kienzle, Daniel, et al.
Pubblicazione: (2025)

MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models
di: Meng, Fanqing, et al.
Pubblicazione: (2024)

EmoLLM: Multimodal Emotional Understanding Meets Large Language Models
di: Yang, Qu, et al.
Pubblicazione: (2024)

Spatial-ORMLLM: Improve Spatial Relation Understanding in the Operating Room with Multimodal Large Language Model
di: He, Peiqi, et al.
Pubblicazione: (2025)

Attribute-Grounded Selective Reasoning for Artwork Emotion Understanding with Multimodal Large Language Models
di: Zhang, Cheng, et al.
Pubblicazione: (2026)

DynamicVL: Benchmarking Multimodal Large Language Models for Dynamic City Understanding
di: Xuan, Weihao, et al.
Pubblicazione: (2025)

LaViDa: A Large Diffusion Language Model for Multimodal Understanding
di: Li, Shufan, et al.
Pubblicazione: (2025)

OCC-MLLM:Empowering Multimodal Large Language Model For the Understanding of Occluded Objects
di: Qiu, Wenmo, et al.
Pubblicazione: (2024)

MedMO: Grounding and Understanding Multimodal Large Language Model for Medical Images
di: Deria, Ankan, et al.
Pubblicazione: (2026)

Exploring the Role of Explicit Temporal Modeling in Multimodal Large Language Models for Video Understanding
di: Li, Yun, et al.
Pubblicazione: (2025)

Decoding the Delta: Unifying Remote Sensing Change Detection and Understanding with Multimodal Large Language Models
di: Li, Xiaohe, et al.
Pubblicazione: (2026)

3UR-LLM: An End-to-End Multimodal Large Language Model for 3D Scene Understanding
di: Xiong, Haomiao, et al.
Pubblicazione: (2025)

Vidi: Large Multimodal Models for Video Understanding and Editing
di: Vidi Team, et al.
Pubblicazione: (2025)

NAUTILUS: A Large Multimodal Model for Underwater Scene Understanding
di: Xu, Wei, et al.
Pubblicazione: (2025)

VARGPT: Unified Understanding and Generation in a Visual Autoregressive Multimodal Large Language Model
di: Zhuang, Xianwei, et al.
Pubblicazione: (2025)

Multimodal Large Language Models for Text-rich Image Understanding: A Comprehensive Review
di: Fu, Pei, et al.
Pubblicazione: (2025)

Fork-Merge Decoding: Enhancing Multimodal Understanding in Audio-Visual Large Language Models
di: Jung, Chaeyoung, et al.
Pubblicazione: (2025)

VidHalluc: Evaluating Temporal Hallucinations in Multimodal Large Language Models for Video Understanding
di: Li, Chaoyu, et al.
Pubblicazione: (2024)