Artificial intelligence (AI) is evolving towards artificial general intelligence, which refers to the
ability of an AI system to perform a wide range of tasks and exhibit a level of intelligence …

While AI has benefited humans, it may also harm humans if not appropriately developed.
The priority of current HCI work should focus on transiting from conventional human …

Collecting and annotating images with pixel-wise labels is time-consuming and laborious. In
contrast, synthetic data can be freely available using a generative model (eg, DALL-E …

High-definition (HD) map provides abundant and precise static environmental information of
the driving scene, serving as a fundamental and indispensable component for planning in …

For the last few decades, several major subfields of artificial intelligence including computer
vision, graphics, and robotics have progressed largely independently from each other …

Diffusion Probabilistic Methods are employed for state-of-the-art image generation. In this
work, we present a method for extending such models for performing image segmentation …

Click-based interactive image segmentation aims at extracting objects with a limited user
clicking. A hierarchical backbone is the de-facto architecture for current methods. Recently …

Generic motion understanding from video involves not only tracking objects, but also
perceiving how their surfaces deform and move. This information is useful to make …

In this work, instead of directly predicting the pixel-level segmentation masks, the problem of
referring image segmentation is formulated as sequential polygon generation, and the …

Large-scale training data with high-quality annotations is critical for training semantic and
instance segmentation models. Unfortunately, pixel-wise annotation is labor-intensive and …