AI computation enables clearer views of the deep brain, bypassing the need for expensive equipment

Professor Iksung Kang (School of Electrical Engineering), in collaboration with Professor Na Ji's research team at UC ...
GitHub

Boltzmann Attention Sampling for Image Analysis with Small Objects

BoltzFormer is designed for text promptable segmentation, with superior performance for small objects. It performs Boltzmann sampling within the attention mechanism in the transformer, allowing the ...
IEEE

ASOD-Net: Arbitrary Sampling and Offset-based Detection Network for Remote Sensing Image

Abstract: Remote sensing object detection plays a critical role in analyzing aerial imagery, enabling the accurate localization of arbitrarily oriented objects. Traditional detection frameworks often ...
GitHub

A curated list of free, high-quality, university-level courses with video lectures related to the field of Computer Vision.

Signals and Systems 6.003 covers the fundamentals of signal and system analysis, focusing on representations of discrete-time and continuous-time signals (singularity functions, complex exponentials ...
IEEE

Dual-Sampling Noise2Noise: Efficient Single-Image Denoising

Abstract: Existing single-image denoising methods suffer from several issues, including reliance on noise distribution models, inefficient network training, and the loss of useful information during ...