activity
20172022
most citedParallel Tracking and Verifying: A Framework for Real-Time and High Accuracy Visual Tracking

56 citations · 120 across the 10 of their papers we have counts for

collaborators

18 papers

cs.CV20223 cited

Learning Target-aware Representation for Visual Tracking via Informative Interactions

Mingzhe Guo, Zhipeng Zhang, Heng Fan +4

We introduce a novel backbone architecture to improve target-perception ability of feature representation for tracking. Specifically, having observed that de facto frameworks perfo…

eess.IV20211 cited

Osteoporosis Prescreening using Panoramic Radiographs through a Deep Convolutional Neural Network with Attention Mechanism

Heng Fan, Jiaxiang Ren, Jie Yang +2

Objectives. The aim of this study was to investigate whether a deep convolutional neural network (CNN) with an attention module can detect osteoporosis on panoramic radiographs. St…

cs.CV2021

VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results

Dawei Du, Longyin Wen, Pengfei Zhu +52

Crowd counting on the drone platform is an interesting topic in computer vision, which brings new challenges such as small object inference, background clutter and wide viewpoint.…

cs.CV20203 cited

CRACT: Cascaded Regression-Align-Classification for Robust Visual Tracking

Heng Fan, Haibin Ling

High quality object proposals are crucial in visual tracking algorithms that utilize region proposal network (RPN). Refinement of these proposals, typically by box regression and c…

cs.CV2020

Transparent Object Tracking Benchmark

Heng Fan, Halady Akhilesha Miththanthaya, Harshit +5

Visual tracking has achieved considerable progress in recent years. However, current research in the field mainly focuses on tracking of opaque objects, while little attention is p…

cs.CV202014 cited

LaSOT: A High-quality Large-scale Single Object Tracking Benchmark

Heng Fan, Hexin Bai, Liting Lin +11

Despite great recent advances in visual tracking, its further development, including both algorithm design and evaluation, is limited due to lack of dedicated large-scale benchmark…