36 citations · 44 across the 15 of their papers we have counts for
7 papers · 1 filter
YOLO-BEV: Generating Bird's-Eye View in the Same Way as 2D Object Detection
Chang Liu, Liguo Zhou, Yanliang Huang +1
Vehicle perception systems strive to achieve comprehensive and rapid visual interpretation of their surroundings for improved safety and navigation. We introduce YOLO-BEV, an effic…
Skipped Feature Pyramid Network with Grid Anchor for Object Detection
Li Pengfei, Wei Wei, Yan Yu +2
CNN-based object detection methods have achieved significant progress in recent years. The classic structures of CNNs produce pyramid-like feature maps due to the pooling or other…
Inverted Non-maximum Suppression for more Accurate and Neater Face Detection
Lian Liu, liguo Zhou
CNN-based face detection methods have achieved significant progress in recent years. In addition to the strong representation ability of CNN, post-processing methods are also very…
Sequential Spatial Network for Collision Avoidance in Autonomous Driving
Haichuan Li, Liguo Zhou, Zhenshan Bing +3
Several autonomous driving strategies have been applied to autonomous vehicles, especially in the collision avoidance area. The purpose of collision avoidance is achieved by adjust…
Fast and Accurate Object Detection on Asymmetrical Receptive Field
Tianhao Lin
Object detection has been used in a wide range of industries. For example, in autonomous driving, the task of object detection is to accurately and efficiently identify and locate…
Attention Mechanism for Contrastive Learning in GAN-based Image-to-Image Translation
Hanzhen Zhang, Liguo Zhou, Ruining Wang +1
Using real road testing to optimize autonomous driving algorithms is time-consuming and capital-intensive. To solve this problem, we propose a GAN-based model that is capable of ge…
UG Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments
Ye Yuan, Wenhan Yang, Wenqi Ren +3
The UG challenge in IEEE CVPR 2019 aims to evoke a comprehensive discussion and exploration about how low-level vision techniques can benefit the high-level automatic visual…