A new study published in Nature Neuroscience sheds light on the structural foundations of the brain’s default mode network, a ...

Prions, mysterious shape-shifting proteins, can lead to brain disorders such as Creutzfeldt-Jakob disease in humans and ...

T.S. is the recipient of an Early Career Fellowship from the Leverhulme Trust. We thank Prof. Qiang Shi for sharing his hierarchical equations of motion code with us. This work utilized the Alpine ...

(e) Diffusion map embedding and spectral clustering were used to construct ... with known cortical maps of cognitive functioning and hierarchical organization, providing a context based on extent ...

In this paper, we propose DiffSenseNet, a detection network that integrates Hierarchical Feature Fusion (HFF) and Angular Diffusion Augmentation (ADA ... DiffSenseNet achieves the accuracy of 75.89% ...

In this work, we introduce ``DifFUSER'', a novel approach that leverages diffusion models for multi-modal fusion in 3D object detection and BEV map segmentation ... DifFUSER blocks are chained ...

In this article, we will discuss the DreamCraft3D framework, a hierarchical model for ... and those generated by the Stable Diffusion framework. Each image in the test benchmark has a text prompt, a ...

Generative AI models have been a hot topic of discussion within the AI industry for a while. The recent success of 2D generative models has paved the way for the methods we use to create visual ...

for semantic segmentation based on Denoising Diffusion Probabilistic Models. Our model is conditioned to the input image, enabling it to generate multiple segmentation label maps that account for the ...

To tackle this problem we propose the roll-out diffusion network (Rodin), which represents a neural radiance field as multiple 2D feature maps and rolls out these ... Finally, we use hierarchical ...