Saliency detection is important in computer vision. However, most of the existing saliency models are designed for visible images. It […]
Congratulations to our Postdoctoral Fellow Moshiur Farazi for being awarded the Outstanding Reviewer Award from the Computer Vision and Pattern […]
Despite being highly secure, vein recognition suffers from the high inter-class similarity and intra-class variation resulting from the uncontrolled image […]
Despite the great success achieved by convolutional neural networks (CNNs) in various image understanding tasks, it is still difficult for […]
After decade and a half of outstanding science and research work, our Principal Research Scientist and Quantitative Imaging Team Leader […]
The objective of our work is to reconstruct 3D object instances from a single RGB image of a cluttered scene. […]
In this paper, we propose a novel color-texture image segmentation method based on local histograms. Starting with clustering-based color quantization, […]
Congratulations to Dr. Chuong Nguyen from the Imaging and Computer Vision Group at CSIRO's Data61 for receiving the prestigious CSIRO […]
In this paper, we propose the first framework (UCNet) to employ uncertainty for RGB-D saliency detection by learning from the […]
Osteoporosis makes bones weak and brittle, increasing the risk of fracture. In this paper, we designed a hybrid model to […]
