9 citations · 31 across the 9 of their papers we have counts for
10 papers · 1 filter
Abnormal Event Detection and Location for Dense Crowds using Repulsive Forces and Sparse Reconstruction
Pei Lv, Shunhua Liu, Mingliang Xu +1
This paper proposes a method based on repulsive forces and sparse reconstruction for the detection and location of abnormal events in crowded scenes. In order to avoid the challeng…
MDSSD: Multi-scale Deconvolutional Single Shot Detector for Small Objects
Lisha Cui, Rui Ma, Pei Lv +4
For most of the object detectors based on multi-scale feature maps, the shallow layers are rich in fine spatial information and thus mainly responsible for small object detection.…
USAR: an Interactive User-specific Aesthetic Ranking Framework for Images
Pei Lv, Meng Wang, Yongbo Xu +5
When assessing whether an image is of high or low quality, it is indispensable to take personal preference into account. Existing aesthetic models lay emphasis on hand-crafted feat…
Bi-directional Graph Structure Information Model for Multi-Person Pose Estimation
Jing Wang, Ze Peng, Pei Lv +3
In this paper, we propose a novel multi-stage network architecture with two branches in each stage to estimate multi-person poses in images. The first branch predicts the confidenc…
Depth Information Guided Crowd Counting for Complex Crowd Scenes
Mingliang Xu, Zhaoyang Ge, Xiaoheng Jiang +4
It is important to monitor and analyze crowd events for the sake of city safety. In an EDOF (extended depth of field) image with a crowded scene, the distribution of people is high…
Improving Aviation Safety using Synthetic Vision System integrated with Eye-tracking Devices
Mingliang Xu, Yibo Guo, Bailin Yang +4
By collecting the data of eyeball movement of pilots, it is possible to monitor pilot's operation in the future flight in order to detect potential accidents. In this paper, we des…