31 citations · 38 across the 4 of their papers we have counts for
4 papers
Refer-it-in-RGBD: A Bottom-up Approach for 3D Visual Grounding in RGBD Images
Haolin Liu, Anran Lin, Xiaoguang Han +3
Grounding referring expressions in RGBD image has been an emerging field. We present a novel task of 3D visual grounding in single-view RGBD image where the referred objects are of…
Feature Fusion through Multitask CNN for Large-scale Remote Sensing Image Segmentation
Shihao Sun, Lei Yang, Wenjie Liu +1
In recent years, Fully Convolutional Networks (FCN) has been widely used in various semantic segmentation tasks, including multi-modal remote sensing imagery. How to fuse multi-mod…
TreeSegNet: Adaptive Tree CNNs for Subdecimeter Aerial Image Segmentation
Kai Yue, Lei Yang, Ruirui Li +3
For the task of subdecimeter aerial imagery segmentation, fine-grained semantic segmentation results are usually difficult to obtain because of complex remote sensing content and o…
DeepUNet: A Deep Fully Convolutional Network for Pixel-level Sea-Land Segmentation
Ruirui Li, Wenjie Liu, Lei Yang +4
Semantic segmentation is a fundamental research in remote sensing image processing. Because of the complex maritime environment, the sea-land segmentation is a challenging task. Al…