3 papers
cs.RO2026
Traffic Scene Generation from Natural Language Description for Autonomous Vehicles with Large Language Model
Bo-Kai Ruan, Hao-Tang Tsui, Yung-Hui Li +1
Generating realistic and controllable traffic scenes from natural language can greatly enhance the development and evaluation of autonomous driving systems. However, this task pose…
cs.CV2026
One Pool Is Not Enough: Multi-Cluster Memory for Practical Test-Time Adaptation
Yu-Wen Tseng, Xingyi Zheng, Ya-Chen Wu +4
Test-time adaptation (TTA) adapts pre-trained models to distribution shifts at inference using only unlabeled test data. Under the Practical TTA (PTTA) setting, where test streams…
cs.CV2025
RecipeGen: A Benchmark for Real-World Recipe Image Generation
Ruoxuan Zhang, Hongxia Xie, Yi Yao +6
Recipe image generation is an important challenge in food computing, with applications from culinary education to interactive recipe platforms. However, there is currently no real-…