29 citations · 65 across the 7 of their papers we have counts for
7 papers
Beta R-CNN: Looking into Pedestrian Detection from Another Perspective
Zixuan Xu, Banghuai Li, Ye Yuan +1
Recently significant progress has been made in pedestrian detection, but it remains challenging to achieve high performance in occluded and crowded scenes. It could be attributed m…
LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in Transformers
Zhuoxu Huang, Zhiyou Zhao, Banghuai Li +1
Transformer with its underlying attention mechanism and the ability to capture long-range dependencies makes it become a natural choice for unordered point cloud data. However, sep…
MSP : Refine Boundary Segmentation via Multiscale Superpixel
Jie Zhu, Huabin Huang, Banghuai Li +2
In this paper, we propose a simple but effective message passing method to improve the boundary quality for the semantic segmentation result. Inspired by the generated sharp edges…
E-CRF: Embedded Conditional Random Field for Boundary-caused Class Weights Confusion in Semantic Segmentation
Jie Zhu, Huabin Huang, Banghuai Li +1
Modern semantic segmentation methods devote much effect to adjusting image feature representations to improve the segmentation performance in various ways, such as architecture des…
FBNet: Feature Balance Network for Urban-Scene Segmentation
Lei Gan, Huabin Huang, Banghuai Li +1
Image segmentation in the urban scene has recently attracted much attention due to its success in autonomous driving systems. However, the poor performance of concerned foreground…
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding
Bo Sun, Banghuai Li, Shengcai Cai +2
Emerging interests have been brought to recognize previously unseen objects given very few training examples, known as few-shot object detection (FSOD). Recent researches demonstra…
AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses
Zixuan Xu, Banghuai Li, Miao Geng +1
Facial landmark localization aims to detect the predefined points of human faces, and the topic has been rapidly improved with the recent development of neural network based method…