activity
20212023
most citedPSE-Match: A Viewpoint-free Place Recognition Method with Parallel Semantic Embedding

1 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 1 cited

CVRecon: Rethinking 3D Geometric Feature Learning For Neural Reconstruction

Ziyue Feng, Liang Yang, Pengsheng Guo +1

Recent advances in neural reconstruction using posed image sequences have made remarkable progress. However, due to the lack of depth information, existing volumetric-based techniq…

cs.CV2022

Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular Depth

Ziyue Feng, Liang Yang, Longlong Jing +3

Conventional self-supervised monocular depth prediction methods are based on a static environment assumption, which leads to accuracy degradation in dynamic scenes due to the misma…

cs.CV2021

Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR

Ziyue Feng, Longlong Jing, Peng Yin +2

Self-supervised monocular depth prediction provides a cost-effective solution to obtain the 3D location of each pixel. However, the existing approaches usually lead to unsatisfacto…

cs.CV2021★ 1 cited

PSE-Match: A Viewpoint-free Place Recognition Method with Parallel Semantic Embedding

Peng Yin, Lingyun Xu, Ziyue Feng +2

Accurate localization on autonomous driving cars is essential for autonomy and driving safety, especially for complex urban streets and search-and-rescue subterranean environments…

cs.RO2021

Model-based Decision Making with Imagination for Autonomous Parking

Ziyue Feng, Yu Chen, Shitao Chen +1

Autonomous parking technology is a key concept within autonomous driving research. This paper will propose an imaginative autonomous parking algorithm to solve issues concerned wit…