571 citations · 2.9k across the 98 of their papers we have counts for
19 papers · 1 filter
MFPN: A Novel Mixture Feature Pyramid Network of Multiple Architectures for Object Detection
Tingting Liang, Yongtao Wang, Qijie Zhao +3
Feature pyramids are widely exploited in many detectors to solve the scale variation problem for object detection. In this paper, we first investigate the Feature Pyramid Network (…
Semantic-Aware Label Placement for Augmented Reality in Street View
Jianqing Jia, Semir Elezovikj, Heng Fan +5
In an augmented reality (AR) application, placing labels in a manner that is clear and readable without occluding the critical information from the real-world can be a challenging…
Dually Supervised Feature Pyramid for Object Detection and Segmentation
Fan Yang, Cheng Lu, Yandong Guo +2
Feature pyramid architecture has been broadly adopted in object detection and segmentation to deal with multi-scale problem. However, in this paper we show that the capacity of the…
LaFIn: Generative Landmark Guided Face Inpainting
Yang Yang, Xiaojie Guo, Jiayi Ma +2
It is challenging to inpaint face images in the wild, due to the large variation of appearance, such as different poses, expressions and occlusions. A good inpainting algorithm sho…
TracKlinic: Diagnosis of Challenge Factors in Visual Tracking
Heng Fan, Fan Yang, Peng Chu +2
Generic visual tracking is difficult due to many challenge factors (e.g., occlusion, blur, etc.). Each of these factors may cause serious problems for a tracking algorithm, and whe…
Improving Human Annotation in Single Object Tracking
Yu Pang, Xinyi Li, Lin Yuan +1
Human annotation is always considered as ground truth in video object tracking tasks. It is used in both training and evaluation purposes. Thus, ensuring its high quality is an imp…
CBNet: A Novel Composite Backbone Network Architecture for Object Detection
Yudong Liu, Yongtao Wang, Siwei Wang +4
In existing CNN based detectors, the backbone network is a very important component for basic feature extraction, and the performance of the detectors highly depends on it. In this…
CompenNet++: End-to-end Full Projector Compensation
Bingyao Huang, Haibin Ling
Full projector compensation aims to modify a projector input image such that it can compensate for both geometric and photometric disturbance of the projection surface. Traditional…
Hybrid Camera Pose Estimation with Online Partitioning for SLAM
Xinyi Li, Haibin Ling
This paper presents a hybrid real-time camera pose estimation framework with a novel partitioning scheme and introduces motion averaging to monocular Simultaneous Localization and…
Graph Attribute Aggregation Network with Progressive Margin Folding
Penghui Sun, Jingwei Qu, Xiaoqing Lyu +2
Graph convolutional neural networks (GCNNs) have been attracting increasing research attention due to its great potential in inference over graph structures. However, insufficient…
FAMNet: Joint Learning of Feature, Affinity and Multi-dimensional Assignment for Online Multiple Object Tracking
Peng Chu, Haibin Ling
Data association-based multiple object tracking (MOT) involves multiple separated modules processed or optimized differently, which results in complex method design and requires no…
End-to-end Projector Photometric Compensation
Bingyao Huang, Haibin Ling
Projector photometric compensation aims to modify a projector input image such that it can compensate for disturbance from the appearance of projection surface. In this paper, for…
Generic Multiview Visual Tracking
Minye Wu, Haibin Ling, Ning Bi +3
Recent progresses in visual tracking have greatly improved the tracking performance. However, challenges such as occlusion and view change remain obstacles in real world deployment…
Salient Object Detection in the Deep Learning Era: An In-Depth Survey
Wenguan Wang, Qiuxia Lai, Huazhu Fu +3
As an essential problem in computer vision, salient object detection (SOD) has attracted an increasing amount of research attention over the years. Recent advances in SOD are predo…
Clustered Object Detection in Aerial Images
Fan Yang, Heng Fan, Peng Chu +2
Detecting objects in aerial images is challenging for at least two reasons: (1) target objects like pedestrians are very small in pixels, making them hardly distinguished from surr…
PFLD: A Practical Facial Landmark Detector
Xiaojie Guo, Siyuan Li, Jinke Yu +5
Being accurate, efficient, and compact is essential to a facial landmark detector for practical use. To simultaneously consider the three concerns, this paper investigates a neat m…
Online Multi-Object Tracking with Instance-Aware Tracker and Dynamic Model Refreshment
Peng Chu, Heng Fan, Chiu C Tan +1
Recent progresses in model-free single object tracking (SOT) algorithms have largely inspired applying SOT to \emph{multi-object tracking} (MOT) to improve the robustness as well a…
Object Discovery From a Single Unlabeled Image by Mining Frequent Itemset With Multi-scale Features
Runsheng Zhang, Yaping Huang, Mengyang Pu +4
TThe goal of our work is to discover dominant objects in a very general setting where only a single unlabeled image is given. This is far more challenge than typical co-localizatio…
Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection
Fan Yang, Lei Zhang, Sijia Yu +3
Pavement crack detection is a critical task for insuring road safety. Manual crack detection is extremely time-consuming. Therefore, an automatic road crack detection method is req…