This paper deals with deep neural networks for predicting accurate dense disparity map with
Semi-global matching (SGM). SGM is a widely used regularization method for real scenes …

We present the bilateral solver, a novel algorithm for edge-aware smoothing that combines
the flexibility and speed of simple filtering approaches with the accuracy of domain-specific …

Sparsely annotated semantic segmentation (SASS) aims to train a segmentation network
with coarse-grained (ie, point-, scribble-, and block-wise) supervisions, where only a small …

State-of-the-art stereo matching networks have difficulties in generalizing to new unseen
environments due to significant domain differences, such as color, illumination, contrast, and …

In this paper, we present a real-time salient object detection system based on the minimum
spanning tree. Due to the fact that background regions are typically connected to the image …

In-field mango fruit sizing is useful for estimation of fruit maturation and size distribution,
informing the decision to harvest, harvest resourcing (eg, tray insert sizes), and marketing. In …

A convenient and effective binocular vision system is set up. Gesture information can be
accurately extract from the complex environment with the system. The template calibration …

Previous joint/guided filters directly transfer the structural information in the reference image
to the target one. In this paper, we first analyze its major drawback--that is, there may be …

Depth image super-resolution is a significant yet challenging task. In this paper, we
introduce a novel deep color guided coarse-to-fine convolutional neural network (CNN) …

The raw depth image captured by the indoor depth sensor usually has an extensive range of
missing depth values due to inherent limitations such as the inability to perceive transparent …