We introduce Any6D, a model-free framework for 6D object pose estimation that requires only a single RGB-D anchor image to estimate both the 6D pose and size of unknown objects in novel scenes. Unlike ...
Abstract: Fractional vegetation cover (FVC) is a crucial parameter in ecological and environmental monitoring. Most existing FVC estimation studies rely on optical remote sensing data, which are ...
New UCLA research finds that airborne dust traps about twice as much heat as climate models have estimated, even though dust likely cools the planet overall. The effect of dust retaining heat is equal ...
There are numerous ways to run large language models such as DeepSeek, Claude or Meta's Llama locally on your laptop, including Ollama and Modular's Max platform. But if you want to fully control the ...
A Python CLI for generating synthetic psychological training data. Journal-style text responses with configurable subconscious motives at configurable strengths. Used to produce labeled training data ...
Abstract: State-space models (SSMs) are a powerful statistical tool for modelling time-varying systems via a latent state. In these models, the latent state is never directly observed. Instead, a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results