activity
20182021
most citedMDSSD: Multi-scale Deconvolutional Single Shot Detector for Small Objects

63 citations · 182 across the 17 of their papers we have counts for

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Showing 2018Show all

10 papers · 1 filter

cs.CV2018★ 2 cited

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…

cs.CV2018★ 63 cited

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.…

cs.CV2018★ 4 cited

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…

cs.CV2018★ 2 cited

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…

cs.CV2018★ 9 cited

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…

cs.HC2018★ 1 cited

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…

cs.MM2018★ 6 cited

ART-UP: A Novel Method for Generating Scanning-robust Aesthetic QR codes

Mingliang Xu, Qingfeng Li, Jianwei Niu +4

QR codes are usually scanned in different environments, so they must be robust to variations in illumination, scale, coverage, and camera angles. Aesthetic QR codes improve the vis…

cs.MM2018★ 2 cited

Stylize Aesthetic QR Code

Mingliang Xu, Hao Su, Yafei Li +5

With the continued proliferation of smart mobile devices, Quick Response (QR) code has become one of the most-used types of two-dimensional code in the world. Aiming at beautifying…

cs.MA2018★ 14 cited

Crowd Behavior Simulation with Emotional Contagion in Unexpected Multi-hazard Situations

Mingliang Xu, Xiaozheng Xie, Pei Lv +6

In this paper we present a novel crowd simulation method by modeling the generation and contagion of panic emotion under multi-hazard circumstances. Specifically, we first classify…

cs.MA2018★ 11 cited

Emotion-Based Crowd Simulation Model Based on Physical Strength Consumption for Emergency Scenarios

Mingliang Xu, Chaochao Li, Pei Lv +4

Increasing attention is being given to the modeling and simulation of traffic flow and crowd movement, two phenomena that both deal with interactions between pedestrians and cars i…