activity
20202023
most citedGraph-Segmenter: Graph Transformer with Boundary-aware Attention for Semantic Segmentation

17 citations · 36 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2023

LineMarkNet: Line Landmark Detection for Valet Parking

Zizhang Wu, Yuanzhu Gan, Tianhao Xu +2

We aim for accurate and efficient line landmark detection for valet parking, which is a long-standing yet unsolved problem in autonomous driving. To this end, we present a deep lin…

cs.CV2023★ 17 cited

Graph-Segmenter: Graph Transformer with Boundary-aware Attention for Semantic Segmentation

Zizhang Wu, Yuanzhu Gan, Tianhao Xu +1

The transformer-based semantic segmentation approaches, which divide the image into different regions by sliding windows and model the relation inside each window, have achieved ou…

cs.CV2022

CAT: Learning to Collaborate Channel and Spatial Attention from Multi-Information Fusion

Zizhang Wu, Man Wang, Weiwei Sun +4

Channel and spatial attention mechanism has proven to provide an evident performance boost of deep convolution neural networks (CNNs). Most existing methods focus on one or run the…

cs.CV2022

Complete Solution for Vehicle Re-ID in Surround-view Camera System

Zizhang Wu, Tianhao Xu, Fan Wang +2

Vehicle re-identification (Re-ID) is a critical component of the autonomous driving perception system, and research in this area has accelerated in recent years. However, there is…

cs.CV2022★ 16 cited

Surround-view Fisheye BEV-Perception for Valet Parking: Dataset, Baseline and Distortion-insensitive Multi-task Framework

Zizhang Wu, Yuanzhu Gan, Xianzhi Li +4

Surround-view fisheye perception under valet parking scenes is fundamental and crucial in autonomous driving. Environmental conditions in parking lots perform differently from the…

cs.CV2022

Detecting Owner-member Relationship with Graph Convolution Network in Fisheye Camera System

Zizhang Wu, Jason Wang, Tianhao Xu +1

The owner-member relationship between wheels and vehicles contributes significantly to the 3D perception of vehicles, especially in embedded environments. However, to leverage this…

cs.CV2020★ 2 cited

SUPER: A Novel Lane Detection System

Pingping Lu, Chen Cui, Shaobing Xu +2

AI-based lane detection algorithms were actively studied over the last few years. Many have demonstrated superior performance compared with traditional feature-based methods. The a…

cs.CV2020★ 1 cited

PSDet: Efficient and Universal Parking Slot Detection

Zizhang Wu, Weiwei Sun, Man Wang +3

While real-time parking slot detection plays a critical role in valet parking systems, existing methods have limited success in real-world applications. We argue two reasons accoun…