Xianshun Wang — accepted AI-conference papers

2021

Camera Parameters Aware Motion Segmentation Network with Compensated Optical Flow

Xianshun Wang, Dongchen Zhu, Shaojie Xu, Wenjun Shi, Yanqing Liu, Jiamao Li +1

IROS 2021poster

Learning to distinguish independent moving objects from the observed optical flow with a moving camera remains challenging. In this work, we first present a novel camera pose compensation (CPC) scheme. With the help of ingenious geometric analysis, it breaks the observed optical flow into patterns t…

Cited by 2 Source ↗Scholar ↗

2020

Richer Aggregated Features for Optical Flow Estimation with Edge-aware Refinement

Xianshun Wang, Dongchen Zhu, Jiafei Song, Yanqing Liu, Jiamao Li, Xiaolin Zhang

IROS 2020poster

Recent CNN-based optical flow approaches have a separated structure of feature extraction and flow estimation. The core task of optical flow is finding the corresponding points while rich representation is just the key part of such matching problems. However, the prior work usually pays more attenti…

Cited by 1 Source ↗Scholar ↗