activity
20202024
most citedFlexible 3D Lane Detection by Hierarchical Shape MatchingFlexible 3D Lane Detection by Hierarchical Shape Matching

3 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024★ 3 cited

Flexible 3D Lane Detection by Hierarchical Shape MatchingFlexible 3D Lane Detection by Hierarchical Shape Matching

Zhihao Guan, Ruixin Liu, Zejian Yuan +6

As one of the basic while vital technologies for HD map construction, 3D lane detection is still an open problem due to varying visual conditions, complex typologies, and strict de…

cs.CV2022

Interactive Image Inpainting Using Semantic Guidance

Wangbo Yu, Jinhao Du, Ruixin Liu +2

Image inpainting approaches have achieved significant progress with the help of deep neural networks. However, existing approaches mainly focus on leveraging the priori distributio…

cs.CV2021★ 2 cited

Structure-aware Image Inpainting with Two Parallel Streams

Zhilin Huang, Chujun Qin, Ruixin Liu +2

Recent works in image inpainting have shown that structural information plays an important role in recovering visually pleasing results. In this paper, we propose an end-to-end arc…

cs.CV2020

Fast Search on Binary Codes by Weighted Hamming Distance

Zhenyu Weng, Yuesheng Zhu, Ruixin Liu

Weighted Hamming distance, as a similarity measure between binary codes and binary queries, provides superior accuracy in search tasks than Hamming distance. However, how to effici…

cs.LG2020★ 2 cited

Bidirectional Loss Function for Label Enhancement and Distribution Learning

Xinyuan Liu, Jihua Zhu, Qinghai Zheng +3

Label distribution learning (LDL) is an interpretable and general learning paradigm that has been applied in many real-world applications. In contrast to the simple logical vector…