Light field imaging has emerged as a technology allowing to capture richer visual
information from our world. As opposed to traditional photography, which captures a 2D …

Salient object detection (SOD) is a long-standing research topic in computer vision with
increasing interest in the past decade. Since light fields record comprehensive information of …

We present the first systematic study on concealed object detection (COD), which aims to
identify objects that are visually embedded in their background. The high intrinsic similarities …

As one of the fundamental technologies for scene understanding, semantic segmentation
has been widely explored in the last few years. Light field cameras encode the geometric …

Light field can record the four-dimensional information of light rays, ie the position and
direction information in which depth information is implied. To improve the depth estimation …

Transparent and semi-transparent materials pose significant challenges for existing scene
understanding and segmentation algorithms due to their lack of RGB texture which impedes …

This work presents a new fine-grained transparent object segmentation dataset, termed
Trans10K-v2, extending Trans10K-v1, the first large-scale transparent object segmentation …

Transparent objects such as windows and bottles made by glass widely exist in the real
world. Segmenting transparent objects is challenging because these objects have diverse …

Segmentation of transparent objects is a hard, open problem in computer vision.
Transparent objects lack texture of their own, adopting instead the texture of scene …

Is it possible to learn policies for robotic assembly that can generalize to new objects? We
explore this idea in the context of the kit assembly task. Since classic methods rely heavily …