219 citations · 504 across the 14 of their papers we have counts for
14 papers
Lazy Visual Localization via Motion Averaging
Siyan Dong, Shaohui Liu, Hengkai Guo +2
Visual (re)localization is critical for various applications in computer vision and robotics. Its goal is to estimate the 6 degrees of freedom (DoF) camera pose for each query imag…
ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild
Wang Zhao, Shaohui Liu, Hengkai Guo +2
Estimating the pose of a moving camera from monocular video is a challenging problem, especially due to the presence of moving objects in dynamic environments, where the performanc…
A Confidence-based Iterative Solver of Depths and Surface Normals for Deep Multi-view Stereo
Wang Zhao, Shaohui Liu, Yi Wei +2
In this paper, we introduce a deep multi-view stereo (MVS) system that jointly predicts depths, surface normals and per-view confidence maps. The key to our approach is a novel sol…
GPO: Global Plane Optimization for Fast and Accurate Monocular SLAM Initialization
Sicong Du, Hengkai Guo, Yao Chen +4
Initialization is essential to monocular Simultaneous Localization and Mapping (SLAM) problems. This paper focuses on a novel initialization method for monocular SLAM based on plan…
Towards Good Practices for Video Object Segmentation
Dongdong Yu, Kai Su, Hengkai Guo +6
Semi-supervised video object segmentation is an interesting yet challenging task in machine learning. In this work, we conduct a series of refinements with the propagation-based vi…
An Empirical Study of Propagation-based Methods for Video Object Segmentation
Hengkai Guo, Wenji Wang, Guanjun Guo +4
While propagation-based approaches have achieved state-of-the-art performance for video object segmentation, the literature lacks a fair comparison of different methods using the s…
Multi-Domain Pose Network for Multi-Person Pose Estimation and Tracking
Hengkai Guo, Tang Tang, Guozhong Luo +3
Multi-person human pose estimation and tracking in the wild is important and challenging. For training a powerful model, large-scale training data are crucial. While there are seve…
Two-Stream Binocular Network: Accurate Near Field Finger Detection Based On Binocular Images
Yi Wei, Guijin Wang, Cairong Zhang +3
Fingertip detection plays an important role in human computer interaction. Previous works transform binocular images into depth images. Then depth-based hand pose estimation method…
Interactive Hand Pose Estimation: Boosting accuracy in localizing extended finger joints
Cairong Zhang, Guijin Wang, Hengkai Guo +3
Accurate 3D hand pose estimation plays an important role in Human Machine Interaction (HMI). In the reality of HMI, joints in fingers stretching out, especially corresponding finge…
Motion Feature Augmented Recurrent Neural Network for Skeleton-based Dynamic Hand Gesture Recognition
Xinghao Chen, Hengkai Guo, Guijin Wang +1
Dynamic hand gesture recognition has attracted increasing interests because of its importance for human computer interaction. In this paper, we propose a new motion feature augment…
Pose Guided Structured Region Ensemble Network for Cascaded Hand Pose Estimation
Xinghao Chen, Guijin Wang, Hengkai Guo +1
Hand pose estimation from a single depth image is an essential topic in computer vision and human computer interaction. Despite recent advancements in this area promoted by convolu…
Towards Good Practices for Deep 3D Hand Pose Estimation
Hengkai Guo, Guijin Wang, Xinghao Chen +1
3D hand pose estimation from single depth image is an important and challenging problem for human-computer interaction. Recently deep convolutional networks (ConvNet) with sophisti…
Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation
Hengkai Guo, Guijin Wang, Xinghao Chen +3
Hand pose estimation from monocular depth images is an important and challenging problem for human-computer interaction. Recently deep convolutional networks (ConvNet) with sophist…
Two-stream convolutional neural network for accurate RGB-D fingertip detection using depth and edge information
Hengkai Guo, Guijin Wang, Xinghao Chen
Accurate detection of fingertips in depth image is critical for human-computer interaction. In this paper, we present a novel two-stream convolutional neural network (CNN) for RGB-…