most citedGuided Attention Network for Object Detection and Counting on Drones

11 citations · 23 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CV2020

Spatial Attention Pyramid Network for Unsupervised Domain Adaptation

Congcong Li, Dawei Du, Libo Zhang +4

Unsupervised domain adaptation is critical in various computer vision tasks, such as object detection, instance segmentation, and semantic segmentation, which aims to alleviate per…

cs.CV20209 cited

SiamMan: Siamese Motion-aware Network for Visual Tracking

Wenzhang Zhou, Longyin Wen, Libo Zhang +3

In this paper, we present a novel siamese motion-aware network (SiamMan) for visual tracking, which consists of the siamese feature extraction subnetwork, followed by the classific…

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.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

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…