activity
20162022
most citedExpectation-Maximization Attention Networks for Semantic Segmentation

113 citations · 547 across the 14 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.CV2020★ 67 cited

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.CV2020★ 13 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.CV2020★ 5 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★ 22 cited

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.CV2020★ 87 cited

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…