We present DrivingGaussian an efficient and effective framework for surrounding dynamic
autonomous driving scenes. For complex scenes with moving objects we first sequentially …

As the most fundamental scene understanding tasks, object detection and segmentation
have made tremendous progress in deep learning era. Due to the expensive manual …

Image inpainting, the process of restoring corrupted images, has seen significant
advancements with the advent of diffusion models (DMs). Despite these advancements …

Biomedical image analysis is fundamental for biomedical discovery. Holistic image analysis
comprises interdependent subtasks such as segmentation, detection and recognition, which …

The rapid development of diffusion models (DMs) has significantly advanced image and
video applications, making" what you want is what you see" a reality. Among these, video …

Recent advances in segmentation foundation models have enabled accurate and efficient
segmentation across a wide range of natural images and videos, but their utility to medical …

Text-to-video (T2V) generation models have advanced significantly, yet their ability to
compose different objects, attributes, actions, and motions into a video remains unexplored …

Abstract 3D occupancy perception technology aims to observe and understand dense 3D
environments for autonomous vehicles. Owing to its comprehensive perception capability …

Zero-shot anomaly detection (ZSAD) methods detect anomalies without prior access to
known normal or abnormal samples within target categories. Existing methods typically rely …

Vision Language Models (VLMs) have achieved impressive performance in 2D image
understanding, however they are still struggling with spatial understanding which is the …