Akhil Nagori, Evann Sun, and Lucas Shengwen Yen spent about five months creating a pair of 3D-printed smart glasses that can ...
Abstract. An old-school recipe for training a classifier is to (i) learn a good feature extractor and (ii) optimize a linear layer atop. When only a handful of samples are available per category, as ...
Abstract: Retrieving images for Visible-Infrared Person Re-identification task is challenging, because of the huge modality discrepancy caused by the different imaging principle of RGB and infrared ...
Chinese AI startup Zhipu AI aka Z.ai has released its GLM-4.6V series, a new generation of open-source vision-language models (VLMs) optimized for multimodal reasoning, frontend automation, and ...
This project implements a Variational Autoencoder (VAE) for image generation. Unlike standard autoencoders, VAE learns a probabilistic latent space by encoding images to a distribution and sampling ...
Abstract: In modern information exchange, document images are vital, often embedding sensitive data. The emergence of advanced image editing tools and generative AI models has elevated the risks ...
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