Search Results for author: Yingcai Wu

Found 9 papers, 0 papers with code

ViSTec: Video Modeling for Sports Technique Recognition and Tactical Analysis

no code implementations25 Feb 2024 Yuchen He, Zeqing Yuan, Yihong Wu, Liqi Cheng, Dazhen Deng, Yingcai Wu

The immense popularity of racket sports has fueled substantial demand in tactical analysis with broadcast videos.

Action Segmentation Inductive Bias

SUB-PLAY: Adversarial Policies against Partially Observed Multi-Agent Reinforcement Learning Systems

no code implementations6 Feb 2024 Oubo Ma, Yuwen Pu, Linkang Du, Yang Dai, Ruo Wang, Xiaolei Liu, Yingcai Wu, Shouling Ji

Furthermore, we evaluate three potential defenses aimed at exploring ways to mitigate security threats posed by adversarial policies, providing constructive recommendations for deploying MARL in competitive environments.

Multi-agent Reinforcement Learning

Real-Time Visual Analysis of High-Volume Social Media Posts

no code implementations6 Aug 2021 Johannes Knittel, Steffen Koch, Tan Tang, Wei Chen, Yingcai Wu, Shixia Liu, Thomas Ertl

In contrast to previous work, our system also works with non-geolocated posts and avoids extensive preprocessing such as detecting events.

Clustering Vocal Bursts Intensity Prediction

EventAnchor: Reducing Human Interactions in Event Annotation of Racket Sports Videos

no code implementations13 Jan 2021 Dazhen Deng, Jiang Wu, Jiachen Wang, Yihong Wu, Xiao Xie, Zheng Zhou, HUI ZHANG, Xiaolong Zhang, Yingcai Wu

The popularity of racket sports (e. g., tennis and table tennis) leads to high demands for data analysis, such as notational analysis, on player performance.

VisImages: A Fine-Grained Expert-Annotated Visualization Dataset

no code implementations9 Jul 2020 Dazhen Deng, Yihong Wu, Xinhuan Shu, Jiang Wu, Siwei Fu, Weiwei Cui, Yingcai Wu

Images in visualization publications contain rich information, e. g., novel visualization designs and implicit design patterns of visualizations.

Benchmarking

Quda: Natural Language Queries for Visual Data Analytics

no code implementations7 May 2020 Siwei Fu, Kai Xiong, Xiaodong Ge, Siliang Tang, Wei Chen, Yingcai Wu

To address this challenge, we present a new dataset, called Quda, that aims to help V-NLIs recognize analytic tasks from free-form natural language by training and evaluating cutting-edge multi-label classification models.

Multi-Label Classification Natural Language Queries +1

EcoLens: Visual Analysis of Urban Region Dynamics Using Traffic Data

no code implementations29 Jul 2019 Zhuochen Jin, Nan Cao, Yang Shi, Hanghang Tong, Yingcai Wu

A suite of visualizations is designed to illustrate the dynamics of city segmentation and the corresponding interactions are added to support the exploration of the segmentation patterns over time.

Management Segmentation

ResumeVis: A Visual Analytics System to Discover Semantic Information in Semi-structured Resume Data

no code implementations15 May 2017 Chen Zhang, Hao Wang, Yingcai Wu

Then, a set of visualizations are devised to represent the semantic information in multiple perspectives.

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