most citedTowards Interpretable and Robust Hand Detection via Pixel-wise Prediction

21 citations · 44 across the 4 of their papers we have counts for

collaborators

9 papers

cs.CV2020

Occluded Prohibited Items Detection: an X-ray Security Inspection Benchmark and De-occlusion Attention Module

Yanlu Wei, Renshuai Tao, Zhangjie Wu +3

Security inspection often deals with a piece of baggage or suitcase where objects are heavily overlapped with each other, resulting in an unsatisfactory performance for prohibited…

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.CV202021 cited

Towards Interpretable and Robust Hand Detection via Pixel-wise Prediction

Dan Liu, Libo Zhang, Tiejian Luo +2

The lack of interpretability of existing CNN-based hand detection methods makes it difficult to understand the rationale behind their predictions. In this paper, we propose a novel…

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…