most citedGuided Attention Network for Object Detection and Counting on Drones

11 citations · 37 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2020★ 7 cited

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.CV2020★ 9 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.CV2019★ 3 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.CV2019★ 11 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★ 4 cited

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★ 3 cited

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…