Hosted on MSN

Master your car’s O2 sensor diagnostics

Why it matters: O2 sensors feed critical data to your ECU, helping maintain the ideal air-fuel ratio for performance, efficiency, and emissions control. Reading the signals: Healthy upstream sensors ...
GitHub

A GPT-4o Level MLLM for Vision, Speech and Multimodal Live Streaming on Your Phone

MiniCPM-o is the latest series of end-side multimodal LLMs (MLLMs) ungraded from MiniCPM-V. The models can now take images, video, text, and audio as inputs and provide high-quality text and speech ...
Hosted on MSN

Level up your OBD2 scanner skills

An OBD2 scanner can be more than a code reader — it’s a window into your car’s brain. By learning to interpret live data, fuel trims, and manufacturer-specific codes, you can pinpoint issues without ...
GitHub

One Single Transformer to Unify Multimodal Understanding and Generation

Support image generation in a resolution of 512x512. Improve the multimodal understanding capabilities of purely discrete Show-o. Improve the performance on the GenEval benchmark. Explore the impact ...
IEEE

Peer Learning Approach to Unbiased Scene Graph Generation for Traffic Scene Understanding

Abstract: The biased scene graph generation problem arises from the inherent long-tailed distributions of predicates, which are challenging to handle effectively with a single network. In this paper, ...
IEEE

A Causal Lens on Non-RGB Vision Sensor Understanding in Vision-Language Models

Abstract: While Vision-Language Models (VLMs) have achieved remarkable success in tasks involving natural RGB images, their capability to understand non-RGB sensor data, including thermal, depth, ...