activity
20162022
most citedTwo-Stream 3D Convolutional Neural Network for Skeleton-Based Action Recognition

111 citations · 135 across the 6 of their papers we have counts for

collaborators

11 papers

cs.SD20221 cited

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…

cs.CV2020

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…

cs.CV202013 cited

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…

cs.CV20205 cited

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…

cs.CV2020

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…

cs.CV2018

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…