2 papers
cs.CV2023
DINF: Dynamic Instance Noise Filter for Occluded Pedestrian Detection
Li Xiang, He Miao, Luo Haibo +1
Occlusion issue is the biggest challenge in pedestrian detection. RCNN-based detectors extract instance features by cropping rectangle regions of interest in the feature maps. Howe…
cs.RO2017
Towards Stable Adversarial Feature Learning for LiDAR based Loop Closure Detection
Lingyun Xu, Peng Yin, Haibo Luo +2
Stable feature extraction is the key for the Loop closure detection (LCD) task in the simultaneously localization and mapping (SLAM) framework. In our paper, the feature extraction…