Unsupervised object discovery (UOD) refers to the task of discriminating the whole region of
objects from the background within a scene without relying on labeled datasets, which …

With rapid advancements in depth sensors and deep learning, skeleton-based person re-
identification (re-ID) models have recently achieved remarkable progress with many …

We present a hybrid-view-based knowledge distillation framework, termed HVDistill, to
guide the feature learning of a point cloud neural network with a pre-trained image network …

Recent advances show that Generative Adversarial Networks (GANs) can synthesize
images with smooth variations along semantically meaningful latent directions, such as …

The recent enthusiasm for open-world vision systems show the high interest of the
community to perform perception tasks outside of the closed-vocabulary benchmark setups …

Tremendous breakthroughs have been developed in Semi-Supervised Semantic
Segmentation (S4) through contrastive learning. However, due to limited annotations, the …

Being essential in animation creation, colorizing anime line drawings is usually a tedious
and time-consuming manual task. Reference-based line drawing colorization provides an …

Abstract Recent work in Neural Fields (NFs) learn 3D representations from class-specific
single view image collections. However, they are unable to reconstruct the input data …

Automatic colorization of anime line drawing has attracted much attention in recent years
since it can substantially benefit the animation industry. User-hint based methods are the …

It is a time-consuming and tedious work for manually colorizing anime line drawing images,
which is an essential stage in cartoon animation creation pipeline. Reference-based line …