Video generation has witnessed significant advancements, yet evaluating these models
remains a challenge. A comprehensive evaluation benchmark for video generation is …

Computer vision systems have witnessed rapid progress over the past two decades due to
multiple advances in the field. As these systems are increasingly being deployed in high …

Residual connections are one of the most important components in neural network
architectures for mitigating the vanishing gradient problem and facilitating the training of …

Image generation is a prevailing technique for clinical data augmentation for advancing
diagnostic accuracy and reducing healthcare disparities. Diffusion Model (DM) has become …

Requiring extensive human supervision is often impractical for continual learning due to its
cost, leading to the emergence of 'name-only continual learning'that only provides the name …