Recently, ChatGPT, along with DALL-E-2 and Codex, has been gaining significant attention
from society. As a result, many individuals have become interested in related resources and …

The remarkable performance of the Transformer architecture in natural language processing
has recently also triggered broad interest in Computer Vision. Among other merits …

Recent large-scale text-guided diffusion models provide powerful image generation
capabilities. Currently, a massive effort is given to enable the modification of these images …

Reinforcement learning algorithms typically struggle in the absence of a dense, well-shaped
reward function. Intrinsically motivated exploration methods address this limitation by …

As ChatGPT goes viral, generative AI (AIGC, aka AI-generated content) has made headlines
everywhere because of its ability to analyze and create text, images, and beyond. With such …

Image captioning is a fundamental task in vision-language understanding, where the model
predicts a textual informative caption to a given input image. In this paper, we present a …

Recent breakthroughs in text-to-4D generation rely on pre-trained text-to-image and text-to-
video models to generate dynamic 3D scenes. However current text-to-4D methods face a …

We present $\textbf {MolT5} $$-$ a self-supervised learning framework for pretraining
models on a vast amount of unlabeled natural language text and molecule strings. $\textbf …

Web-crawled datasets have enabled remarkable generalization capabilities in recent image-
text models such as CLIP (Contrastive Language-Image pre-training) or Flamingo, but little …

The current development in deep learning is witnessing an exponential transition into
automation applications. This automation transition can provide a promising framework for …