VLM-3R is a unified Vision-Language Model (VLM) framework integrating 3D reconstructive instruction tuning for deep spatial understanding from monocular video. The rapid advancement of Large ...
Spatial intelligence, a frontier technology, is essential for AI to enable humanoids and autonomous vehicles to operate in the physical world.
The final, formatted version of the article will be published soon. Artificial intelligence (AI) has become a common tool for bioinformatics, with hundreds of methods published in recent years. Due to ...
Spatial reasoning is the ability to perceive, interpret, and act across spatial scales, from millimeter-sized components to distant aerial scenes. All-scale spatial reasoning is fundamental to ...
Navigating an unfamiliar city can be challenging, especially if your vision is impaired. While navigation apps can guide you from doorstep to doorstep and adapt your route on-the-go, they often fail ...
We present Magma, a foundation model that serves multimodal AI agentic tasks in both the digital and physical worlds. Magma is a significant extension of vision-language (VL) models in that it not ...
Abstract: Despite the impressive performance achieved by data-fusion networks with duplex encoders for visual semantic segmentation, they become ineffective when spatial geometric data are not ...
Abstract: Brain semantic decoding has received a surge of attention in the computer vision and neuroscience disciplines. However, existing techniques ignore the sparse and implicit semantic analysis ...
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