Výsledky vyhledávání - "Qian Chenghao"

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WeatherDG: LLM-assisted Procedural Weather Generation for Domain-Generalized Semantic Segmentation

Autor: Qian, Chenghao, Guo, Yuhu, Mo, Yuhong, Li, Wenjing

In this work, we propose a novel approach, namely WeatherDG, that can generate realistic, weather-diverse, and driving-screen images based on the cooperation of two foundation models, i.e, Stable Diffusion (SD) and Large Language Model (LLM). Specifi

Externí odkaz: http://arxiv.org/abs/2410.12075

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AllWeatherNet:Unified Image enhancement for autonomous driving under adverse weather and lowlight-conditions

Autor: Qian, Chenghao, Rezaei, Mahdi, Anwar, Saeed, Li, Wenjing, Hussain, Tanveer, Azarmi, Mohsen, Wang, Wei

Adverse conditions like snow, rain, nighttime, and fog, pose challenges for autonomous driving perception systems. Existing methods have limited effectiveness in improving essential computer vision tasks, such as semantic segmentation, and often focu

Externí odkaz: http://arxiv.org/abs/2409.02045

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Local and Global Contextual Features Fusion for Pedestrian Intention Prediction

Autor: Azarmi, Mohsen, Rezaei, Mahdi, Hussain, Tanveer, Qian, Chenghao

Autonomous vehicles (AVs) are becoming an indispensable part of future transportation. However, safety challenges and lack of reliability limit their real-world deployment. Towards boosting the appearance of AVs on the roads, the interaction of AVs w

Externí odkaz: http://arxiv.org/abs/2305.01111

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