Advancements in 3D instance segmentation have traditionally been tethered to the
availability of annotated datasets limiting their application to a narrow spectrum of object …

Pre-trained vision-language models (VLMs) are the de-facto foundation models for various
downstream tasks. However, scene text recognition methods still prefer backbones pre …

As Large Language Models (LLMs) become popular, there emerged an important trend of
using multimodality to augment the LLMs' generation ability, which enables LLMs to better …

Image captioning is conventionally formulated as the task of generating captions that match
the conditional distribution of reference image-caption pairs. However, reference captions in …

Abstract Language models are capable of commonsense reasoning: while domain-specific
models can learn from explicit knowledge (eg commonsense graphs [6], ethical norms [25]) …

Pretrained vision-language models, such as CLIP, have demonstrated strong generalization
capabilities, making them promising tools in the realm of zero-shot visual recognition. Visual …