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Abstract: Automatic detection and prevention of open-set failures are crucial in closed-loop robotic systems. Recent studies often struggle to simultaneously identify unexpected failures reactively ...

Abstract: Text-to-image diffusion models have shown powerful ability on conditional image synthesis. With large-scale vision-language pre-training, diffusion models are able to generate high-quality ...

Since 2013, there have been metaphorically for programmers to build annual rankings of the world’s most popular programming languages. The rankings have traditionally relied on public signals such as ...

BioRender provides a rich set of tools for creating highly accurate images from biology. The tools provide a visual language to support AI in the biological domain. Notation and diagrams are essential ...

CLIP is one of the most important multimodal foundational models today. What powers CLIP’s capabilities? The rich supervision signals provided by natural language, the carrier of human knowledge, ...

CLIP is one of the most important multimodal foundational models today, aligning visual and textual signals into a shared feature space using a simple contrastive learning loss on large-scale ...

25 years ago, Jianbo Shi introduced Normalized Cuts (spectral clustering), a graph-theoretic approach to perceptual grouping that became a staple in unsupervised image segmentation. While the original ...