Search Results for author:
Found 11 papers, 1 papers with code
Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents
To enhance the reliability of LLM-based applications, a range of research has emerged to assess and mitigate these risks from different perspectives.
CATP: Context-Aware Trajectory Prediction with Competition Symbiosis
To address this issue, we propose a ``manager-worker'' framework to unleash the full potential of contextual information and construct CATP model, an implementation of the framework for Context-Aware Trajectory Prediction.
ViSTec: Video Modeling for Sports Technique Recognition and Tactical Analysis
The immense popularity of racket sports has fueled substantial demand in tactical analysis with broadcast videos.
SUB-PLAY: Adversarial Policies against Partially Observed Multi-Agent Reinforcement Learning Systems
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.
Real-Time Visual Analysis of High-Volume Social Media Posts
In contrast to previous work, our system also works with non-geolocated posts and avoids extensive preprocessing such as detecting events.
EventAnchor: Reducing Human Interactions in Event Annotation of Racket Sports Videos
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.
PlotThread: Creating Expressive Storyline Visualizations using Reinforcement Learning
Storyline visualizations are an effective means to present the evolution of plots and reveal the scenic interactions among characters.
VisImages: A Fine-Grained Expert-Annotated Visualization Dataset
Images in visualization publications contain rich information, e. g., novel visualization designs and implicit design patterns of visualizations.
Quda: Natural Language Queries for Visual Data Analytics
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.
EcoLens: Visual Analysis of Urban Region Dynamics Using Traffic Data
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.
ResumeVis: A Visual Analytics System to Discover Semantic Information in Semi-structured Resume Data
Then, a set of visualizations are devised to represent the semantic information in multiple perspectives.
