158 citations · 223 across the 14 of their papers we have counts for
14 papers
Large-Scale Person Detection and Localization using Overhead Fisheye Cameras
Lu Yang, Liulei Li, Xueshi Xin +3
Location determination finds wide applications in daily life. Instead of existing efforts devoted to localizing tourist photos captured by perspective cameras, in this article, we…
What Decreases Editing Capability? Domain-Specific Hybrid Refinement for Improved GAN Inversion
Pu Cao, Lu Yang, Dongxv Liu +3
Recently, inversion methods have focused on additional high-rate information in the generator (e.g., weights or intermediate features) to refine inversion and editing results from…
Deep Learning Technique for Human Parsing: A Survey and Outlook
Lu Yang, Wenhe Jia, Shan Li +1
Human parsing aims to partition humans in image or video into multiple pixel-level semantic parts. In the last decade, it has gained significantly increased interest in the compute…
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…
LSAP: Rethinking Inversion Fidelity, Perception and Editability in GAN Latent Space
Xuekun Zhao, Pu Cao, Xiaoya Yang +3
As research on image inversion advances, the process is generally divided into two stages. The first step is Image Embedding, involves using an encoder or optimization procedure to…
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 Face Parsing
Lu Yang, Qing Song, Xueshi Xin +2
This is a very short technical report, which introduces the solution of the Team BUPT-CASIA for Short-video Face Parsing Track of The 3rd Person in Context (PIC) Workshop and Chall…
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…
High-speed Railway Fastener Detection and Localization Method based on convolutional neural network
Qing Song, Yao Guo, Jianan Jiang +2
Railway transportation is the artery of China's national economy and plays an important role in the development of today's society. Due to the late start of China's railway securit…
Detector-in-Detector: Multi-Level Analysis for Human-Parts
Xiaojie Li, Lu Yang, Qing Song +1
Vision-based person, hand or face detection approaches have achieved incredible success in recent years with the development of deep convolutional neural network (CNN). In this pap…
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…
Attacks on State-of-the-Art Face Recognition using Attentional Adversarial Attack Generative Network
Qing Song, Yingqi Wu, Lu Yang
With the broad use of face recognition, its weakness gradually emerges that it is able to be attacked. So, it is important to study how face recognition networks are subject to att…