2 citations · 2 across the 5 of their papers we have counts for
8 papers
MARF: Multiscale Adaptive-switch Random Forest for Leg Detection with 2D Laser Scanners
Tianxi Wang, Feng Xue, Yu Zhou +1
For the 2D laser-based tasks, e.g., people detection and people tracking, leg detection is usually the first step. Thus, it carries great weight in determining the performance of p…
Monocular Depth Distribution Alignment with Low Computation
Fei Sheng, Feng Xue, Yicong Chang +2
The performance of monocular depth estimation generally depends on the amount of parameters and computational cost. It leads to a large accuracy contrast between light-weight netwo…
Fast Road Segmentation via Uncertainty-aware Symmetric Network
Yicong Chang, Feng Xue, Fei Sheng +2
The high performance of RGB-D based road segmentation methods contrasts with their rare application in commercial autonomous driving, which is owing to two reasons: 1) the prior me…
MT-ORL: Multi-Task Occlusion Relationship Learning
Panhe Feng, Qi She, Lei Zhu +7
Retrieving occlusion relation among objects in a single image is challenging due to sparsity of boundaries in image. We observe two key issues in existing works: firstly, lack of a…
Boundary-induced and scene-aggregated network for monocular depth prediction
Feng Xue, Junfeng Cao, Yu Zhou +3
Monocular depth prediction is an important task in scene understanding. It aims to predict the dense depth of a single RGB image. With the development of deep learning, the perform…
Occlusion-shared and Feature-separated Network for Occlusion Relationship Reasoning
Rui Lu, Feng Xue, Menghan Zhou +2
Occlusion relationship reasoning demands closed contour to express the object, and orientation of each contour pixel to describe the order relationship between objects. Current CNN…