I rely on data for clarity and risk transparency, but instinct shapes how I interpret it. My approach combines analytical ...

We find a commonality of various dirty samples is visual-linguistic inconsistency between images and associated labels. To capture the semantic inconsistency between modalities, we propose versatile ...

Abstract: It is not uncommon that real-world data are distributed with a long tail. For such data, the learning of deep neural networks becomes challenging because it is hard to classify tail classes ...

In this post, we’ll highlight a few of our favorite visuals from 2025 and walk through how we made them and what makes them ...

To prevent jitter between frames, Kuta explains that D-ID uses cross-frame attention and motion-latent smoothing, techniques that maintain expression continuity across time. Developers can even ...

Music videos evolved, not died. Discover the 3-tier visual strategy artists use in 2025, backed by TikTok stats and industry data.

Abstract: Data tables are one of the most common ways in which people encounter data. Although mostly built with text and numbers, data tables have a spatial layout and often exhibit visual elements ...

GNODEVAE is an innovative computational framework that integrates Graph Attention Networks (GAT), Neural Ordinary Differential Equations (NODE), and Variational Autoencoders (VAE). It addresses three ...