113 citations · 547 across the 14 of their papers we have counts for
14 papers
Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition
Zhan Chen, Sicheng Li, Bing Yang +2
Graph convolutional networks have been widely used for skeleton-based action recognition due to their excellent modeling ability of non-Euclidean data. As the graph convolution is…
Learning Deep Direct-Path Relative Transfer Function for Binaural Sound Source Localization
Bing Yang, Hong Liu, Xiaofei Li
Direct-path relative transfer function (DP-RTF) refers to the ratio between the direct-path acoustic transfer functions of two microphone channels. Though DP-RTF fully encodes the…
Bi-directional Exponential Angular Triplet Loss for RGB-Infrared Person Re-Identification
Hanrong Ye, Hong Liu, Fanyang Meng +1
RGB-Infrared person re-identification (RGB-IR Re- ID) is a cross-modality matching problem, where the modality discrepancy is a big challenge. Most existing works use Euclidean met…
WQT and DG-YOLO: towards domain generalization in underwater object detection
Hong Liu, Pinhao Song, Runwei Ding
A General Underwater Object Detector (GUOD) should perform well on most of underwater circumstances. However, with limited underwater dataset, conventional object detection methods…
Online Initialization and Extrinsic Spatial-Temporal Calibration for Monocular Visual-Inertial Odometry
Weibo Huang, Hong Liu, Weiwei Wan
This paper presents an online initialization method for bootstrapping the optimization-based monocular visual-inertial odometry (VIO). The method can online calibrate the relative…
Spatial Pyramid Based Graph Reasoning for Semantic Segmentation
Xia Li, Yibo Yang, Qijie Zhao +3
The convolution operation suffers from a limited receptive filed, while global modeling is fundamental to dense prediction tasks, such as semantic segmentation. In this paper, we a…
A Survey on 3D Skeleton-Based Action Recognition Using Learning Method
Bin Ren, Mengyuan Liu, Runwei Ding +1
3D skeleton-based action recognition (3D SAR) has gained significant attention within the computer vision community, owing to the inherent advantages offered by skeleton data. As a…
Expectation-Maximization Attention Networks for Semantic Segmentation
Xia Li, Zhisheng Zhong, Jianlong Wu +3
Self-attention mechanism has been widely used for various tasks. It is designed to compute the representation of each position by a weighted sum of the features at all positions. T…
Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining
Xia Li, Jianlong Wu, Zhouchen Lin +2
Rain streaks can severely degrade the visibility, which causes many current computer vision algorithms fail to work. So it is necessary to remove the rain from images. We propose a…
Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation
Dan Xu, Wei Wang, Hao Tang +3
Recent works have shown the benefit of integrating Conditional Random Fields (CRFs) models into deep architectures for improving pixel-level prediction tasks. Following this line o…
A Bidirectional Adaptive Bandwidth Mean Shift Strategy for Clustering
Fanyang Meng, Hong Liu, Yongsheng Liang +2
The bandwidth of a kernel function is a crucial parameter in the mean shift algorithm. This paper proposes a novel adaptive bandwidth strategy which contains three main contributio…
Robust 3D Action Recognition through Sampling Local Appearances and Global Distributions
Mengyuan Liu, Hong Liu, Chen Chen
3D action recognition has broad applications in human-computer interaction and intelligent surveillance. However, recognizing similar actions remains challenging since previous lit…
Two-Stream 3D Convolutional Neural Network for Skeleton-Based Action Recognition
Hong Liu, Juanhui Tu, Mengyuan Liu
It remains a challenge to efficiently extract spatialtemporal information from skeleton sequences for 3D human action recognition. Although most recent action recognition methods a…
Orientation Driven Bag of Appearances for Person Re-identification
Liqian Ma, Hong Liu, Liang Hu +2
Person re-identification (re-id) consists of associating individual across camera network, which is valuable for intelligent video surveillance and has drawn wide attention. Althou…