144 citations · 243 across the 9 of their papers we have counts for
11 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…
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…
Kinematics-Guided Reinforcement Learning for Object-Aware 3D Ego-Pose Estimation
Zhengyi Luo, Ryo Hachiuma, Ye Yuan +2
We propose a method for incorporating object interaction and human body dynamics into the task of 3D ego-pose estimation using a head-mounted camera. We use a kinematics model of t…
End-to-End 3D Multi-Object Tracking and Trajectory Forecasting
Xinshuo Weng, Ye Yuan, Kris Kitani
3D multi-object tracking (MOT) and trajectory forecasting are two critical components in modern 3D perception systems. We hypothesize that it is beneficial to unify both tasks unde…
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…