activity
20172019
most citedFastPose: Towards Real-time Pose Estimation and Tracking via Scale-normalized Multi-task Networks

35 citations · 129 across the 14 of their papers we have counts for

collaborators

14 papers

cs.RO2019

The Field-of-View Constraint of Markers for Mobile Robot with Pan-Tilt Camera

Hongxuan Ma, Wei Zou, Zheng Zhu +2

In the field of navigation and visual servo, it is common to calculate relative pose by feature points on markers, so keeping markers in camera's view is an important problem. In t…

cs.CV2019

EPOSIT: An Absolute Pose Estimation Method for Pinhole and Fish-Eye Cameras

Zhaobing Kang, Wei Zou, Zheng Zhu +2

This paper presents a generic 6DOF camera pose estimation method, which can be used for both the pinhole camera and the fish-eye camera. Different from existing methods, relative p…

cs.RO2019★ 4 cited

Human Following for Wheeled Robot with Monocular Pan-tilt Camera

Zheng Zhu, Hongxuan Ma, Wei Zou

Human following on mobile robots has witnessed significant advances due to its potentials for real-world applications. Currently most human following systems are equipped with dept…

cs.RO2019★ 2 cited

High Performance Visual Object Tracking with Unified Convolutional Networks

Zheng Zhu, Wei Zou, Guan Huang +2

Convolutional neural networks (CNN) based tracking approaches have shown favorable performance in recent benchmarks. Nonetheless, the chosen CNN features are always pre-trained in…

cs.CV2019

Camera Pose Correction in SLAM Based on Bias Values of Map Points

Zhaobing Kang, Wei Zou, Zheng Zhu

Accurate camera pose estimation result is essential for visual SLAM (VSLAM). This paper presents a novel pose correction method to improve the accuracy of the VSLAM system. Firstly…

cs.CV2019★ 35 cited

FastPose: Towards Real-time Pose Estimation and Tracking via Scale-normalized Multi-task Networks

Jiabin Zhang, Zheng Zhu, Wei Zou +4

Both accuracy and efficiency are significant for pose estimation and tracking in videos. State-of-the-art performance is dominated by two-stages top-down methods. Despite the leadi…

cs.RO2019★ 2 cited

Motion Control on Bionic Eyes: A Comprehensive Review

Zheng Zhu, Qingbin Wang, Wei Zou +1

Biology can provide biomimetic components and new control principles for robotics. Developing a robot system equipped with bionic eyes is a difficult but exciting task. Researchers…

cs.CV2018★ 28 cited

Action Machine: Rethinking Action Recognition in Trimmed Videos

Jiagang Zhu, Wei Zou, Liang Xu +6

Existing methods in video action recognition mostly do not distinguish human body from the environment and easily overfit the scenes and objects. In this work, we present a concept…

cs.CV2018★ 1 cited

An Efficient Optical Flow Based Motion Detection Method for Non-stationary Scenes

Junjie Huang, Wei Zou, Zheng Zhu +1

Real-time motion detection in non-stationary scenes is a difficult task due to dynamic background, changing foreground appearance and limited computational resource. These challeng…

cs.CV2018★ 3 cited

Optical Flow Based Online Moving Foreground Analysis

Junjie Huang, Wei Zou, Zheng Zhu +1

Obtained by moving object detection, the foreground mask result is unshaped and can not be directly used in most subsequent processes. In this paper, we focus on this problem and a…

cs.CV2018★ 24 cited

Optical Flow Based Real-time Moving Object Detection in Unconstrained Scenes

Junjie Huang, Wei Zou, Jiagang Zhu +1

Real-time moving object detection in unconstrained scenes is a difficult task due to dynamic background, changing foreground appearance and limited computational resource. In this…

cs.CV2017★ 12 cited

UCT: Learning Unified Convolutional Networks for Real-time Visual Tracking

Zheng Zhu, Guan Huang, Wei Zou +2

Convolutional neural networks (CNN) based tracking approaches have shown favorable performance in recent benchmarks. Nonetheless, the chosen CNN features are always pre-trained in…

cs.CV2017★ 13 cited

End-to-end Video-level Representation Learning for Action Recognition

Jiagang Zhu, Wei Zou, Zheng Zhu

From the frame/clip-level feature learning to the video-level representation building, deep learning methods in action recognition have developed rapidly in recent years. However,…

cs.CV2017★ 5 cited

Learning Gating ConvNet for Two-Stream based Methods in Action Recognition

Jiagang Zhu, Wei Zou, Zheng Zhu

For the two-stream style methods in action recognition, fusing the two streams' predictions is always by the weighted averaging scheme. This fusion method with fixed weights lacks…