158 citations · 162 across the 4 of their papers we have counts for
7 papers · 1 filter
TIVE: A Toolbox for Identifying Video Instance Segmentation Errors
Wenhe Jia, Lu Yang, Zilong Jia +3
Since first proposed, Video Instance Segmentation(VIS) task has attracted vast researchers' focus on architecture modeling to boost performance. Though great advances achieved in o…
A Survey on Long-Tailed Visual Recognition
Lu Yang, He Jiang, Qing Song +1
The heavy reliance on data is one of the major reasons that currently limit the development of deep learning. Data quality directly dominates the effect of deep learning models, an…
Quality-Aware Network for Human Parsing
Lu Yang, Qing Song, Zhihui Wang +3
How to estimate the quality of the network output is an important issue, and currently there is no effective solution in the field of human parsing. In order to solve this problem,…
Renovating Parsing R-CNN for Accurate Multiple Human Parsing
Lu Yang, Qing Song, Zhihui Wang +5
Multiple human parsing aims to segment various human parts and associate each part with the corresponding instance simultaneously. This is a very challenging task due to the divers…
CPM R-CNN: Calibrating Point-guided Misalignment in Object Detection
Bin Zhu, Qing Song, Lu Yang +3
In object detection, offset-guided and point-guided regression dominate anchor-based and anchor-free method separately. Recently, point-guided approach is introduced to anchor-base…
Parsing R-CNN for Instance-Level Human Analysis
Lu Yang, Qing Song, Zhihui Wang +1
Instance-level human analysis is common in real-life scenarios and has multiple manifestations, such as human part segmentation, dense pose estimation, human-object interactions, e…