Deep person generation has attracted extensive research attention due to its wide
applications in virtual agents, video conferencing, online shop**, and art/movie …

Pedestrian detection is an important but challenging problem in computer vision, especially
in human-centric tasks. Over the past decade, significant improvement has been witnessed …

Appearance and pose-guided human generation is a burgeoning field that has captured
significant attention. This subject's primary objective is to transfer pose information from a …

Deep learning-based computer vision is usually data-hungry. Many researchers attempt to
augment datasets with synthesized data to improve model robustness. However, the …

Vision transformers have demonstrated remarkable performance on a variety of computer
vision tasks. In this paper, we illustrate the effectiveness of the deformable vision transformer …

A machine learning model can often produce biased outputs for a familiar group or similar
sets of classes during inference over an unknown dataset. The generalization of neural …

An object detection system is a critical part of autonomous vehicle systems. To ensure the
safety and efficiency of autonomous vehicles, object detection is required to satisfy high …

Synthetic data became already an essential component of machine learning-based
perception in the field of autonomous driving. Yet it still cannot replace real data completely …

The training and testing of visual recognition algorithms require a large number of target
images, but diverse targets in the existing data set are insufficient. Besides, edge cases …

Autonomous vehicles rely on semantic segmentation models to detect objects in their
pathways using onboard camera system. These models have achieved satisfactory results …