Deep supervised learning algorithms typically require a large volume of labeled data to
achieve satisfactory performance. However, the process of collecting and labeling such data …

Abstract Purpose of Review The goal of this review is to provide an overview of current
robotic approaches to precision weed management. This includes an investigation into …

Video object segmentation (VOS) aims at segmenting a particular object throughout the
entire video clip sequence. The state-of-the-art VOS methods have achieved excellent …

Segmenting highly-overlap** objects is challenging, because typically no distinction is
made between real object contours and occlusion boundaries. Unlike previous two-stage …

Transformers have achieved great success in pluralistic image inpainting recently. However,
we find existing transformer based solutions regard each pixel as a token, thus suffer from …

Can our video understanding systems perceive objects when a heavy occlusion exists in a
scene? To answer this question, we collect a large-scale dataset called OVIS for occluded …

Perceiving and manipulating 3D articulated objects in diverse environments is essential for
home-assistant robots. Recent studies have shown that point-level affordance provides …

Partial convolution weights convolutions with binary masks and renormalizes on valid pixels.
It was originally proposed for image inpainting task because a corrupted image processed …

The objective of this paper is a model that is able to discover, track and segment multiple
moving objects in a video. We make four contributions: First, we introduce an object-centric …

Accurate reconstruction of complex dynamic scenes from just a single viewpoint continues to
be a challenging task in computer vision. Current dynamic novel view synthesis methods …