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Found 8 papers, 3 papers with code
DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous Driving
In this work, we delve into the potential of large language models (LLMs) in autonomous driving (AD).
Deep Dynamic Epidemiological Modelling for COVID-19 Forecasting in Multi-level Districts
Results: We introduce four SEIR variants to fit different situations in different countries and regions.
Rethinking Vision Transformers for MobileNet Size and Speed
With the success of Vision Transformers (ViTs) in computer vision tasks, recent arts try to optimize the performance and complexity of ViTs to enable efficient deployment on mobile devices.
EfficientFormer: Vision Transformers at MobileNet Speed
Our work proves that properly designed transformers can reach extremely low latency on mobile devices while maintaining high performance.
Panoptic-PHNet: Towards Real-Time and High-Precision LiDAR Panoptic Segmentation via Clustering Pseudo Heatmap
As a rising task, panoptic segmentation is faced with challenges in both semantic segmentation and instance segmentation.
Medical Datasets Collections for Artificial Intelligence-based Medical Image Analysis
We collected 32 public datasets, of which 28 for medical imaging and 4 for natural images, to conduct study.
PTracer A Linux Kernel Patch Trace Bot
Our PTracer is the first patch trace bot applied to commercial operating systems and has the advantage of improving software quality and saving labor cost.
Software Engineering
