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20182022
most citedDrone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network

27 citations · 62 across the 8 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

cs.CV20193 cited

Learning Semantic Neural Tree for Human Parsing

Ruyi Ji, Dawei Du, Libo Zhang +5

The majority of existing human parsing methods formulate the task as semantic segmentation, which regard each semantic category equally and fail to exploit the intrinsic physiologi…

cs.CV201927 cited

Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network

Longyin Wen, Dawei Du, Pengfei Zhu +4

This paper proposes a space-time multi-scale attention network (STANet) to solve density map estimation, localization and tracking in dense crowds of video clips captured by drones…

cs.CV201911 cited

Guided Attention Network for Object Detection and Counting on Drones

Yuanqiang Cai, Dawei Du, Libo Zhang +4

Object detection and counting are related but challenging problems, especially for drone based scenes with small objects and cluttered background. In this paper, we propose a new G…

cs.CV2019

Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization

Ruyi Ji, Longyin Wen, Libo Zhang +5

Fine-grained visual categorization (FGVC) is an important but challenging task due to high intra-class variances and low inter-class variances caused by deformation, occlusion, ill…

cs.CV2019

Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently

Dan Liu, Dawei Du, Libo Zhang +4

Existing hand detection methods usually follow the pipeline of multiple stages with high computation cost, i.e., feature extraction, region proposal, bounding box regression, and a…

cs.CV2019

Data Priming Network for Automatic Check-Out

Congcong Li, Dawei Du, Libo Zhang +5

Automatic Check-Out (ACO) receives increased interests in recent years. An important component of the ACO system is the visual item counting, which recognizes the categories and co…