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20212025
most citedGraph-Segmenter: Graph Transformer with Boundary-aware Attention for Semantic Segmentation

17 citations · 34 across the 11 of their papers we have counts for

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11 papers · 1 filter

cs.CV2025★ 1 cited

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding

Runwei Guan, Ningwei Ouyang, Tianhao Xu +10

Automated waterway environment perception is crucial for enabling unmanned surface vessels (USVs) to understand their surroundings and make informed decisions. Most existing waterw…

cs.CV2023

PPD: A New Valet Parking Pedestrian Fisheye Dataset for Autonomous Driving

Zizhang Wu, Xinyuan Chen, Fan Song +4

Pedestrian detection under valet parking scenarios is fundamental for autonomous driving. However, the presence of pedestrians can be manifested in a variety of ways and postures u…

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.CV2023

ADD: An Automatic Desensitization Fisheye Dataset for Autonomous Driving

Zizhang Wu, Chenxin Yuan, Hongyang Wei +2

Autonomous driving systems require many images for analyzing the surrounding environment. However, there is fewer data protection for private information among these captured image…

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

OCR-RTPS: An OCR-based real-time positioning system for the valet parking

Zizhang Wu, Xinyuan Chen, Jizheng Wang +4

Obtaining the position of ego-vehicle is a crucial prerequisite for automatic control and path planning in the field of autonomous driving. Most existing positioning systems rely o…

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.CV2021

DeepWORD: A GCN-based Approach for Owner-Member Relationship Detection in Autonomous Driving

Zizhang Wu, Man Wang, Jason Wang +3

It's worth noting that the owner-member relationship between wheels and vehicles has an significant contribution to the 3D perception of vehicles, especially in the embedded enviro…