NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (15)

cs.CV2018

Support Neighbor Loss for Person Re-Identification

Kai Li, Zhengming Ding, Kunpeng Li +2

cs.CV2018

Incremental Classifier Learning with Generative Adversarial Networks

Yue Wu, Yinpeng Chen, Lijuan Wang +5

cs.CV2018

TDAN: Temporally Deformable Alignment Network for Video Super-Resolution

Yapeng Tian, Yulun Zhang, Yun Fu +1

cs.CV2019

Segmentation Guided Image-to-Image Translation with Adversarial Networks

Songyao Jiang, Zhiqiang Tao, Yun Fu

cs.CV2018

Visual Font Pairing

Shuhui Jiang, Zhaowen Wang, Aaron Hertzmann +2

cs.CV2018

Residual Dense Network for Image Super-Resolution

Yulun Zhang, Yapeng Tian, Yu Kong +2

cs.LG2019

Representative Task Self-selection for Flexible Clustered Lifelong Learning

Gan Sun, Yang Cong, Qianqian Wang +2

eess.SP2018

Rayleigh fading suppression in one-dimension optical scatters

Shengtao Lin, Zinan Wang, Ji Xiong +6

cs.CV2018

Tell Me Where to Look: Guided Attention Inference Network

Kunpeng Li, Ziyan Wu, Kuan-Chuan Peng +2

cs.CV2019

Residual Non-local Attention Networks for Image Restoration

Yulun Zhang, Kunpeng Li, Kai Li +2

cs.LG2018

Predictive Local Smoothness for Stochastic Gradient Methods

Jun Li, Hongfu Liu, Bineng Zhong +2

cs.CV2019

Arc-support Line Segments Revisited: An Efficient and High-quality Ellipse Detection

Changsheng Lu, Siyu Xia, Ming Shao +1

The paper introduces an ellipse detection algorithm that uses arc-support line segments to achieve both high accuracy and fast processing in real-world images.

#ellipse detection#line segment extraction#shape analysis#image processing
cs.CV2017

Families in the Wild (FIW): Large-Scale Kinship Image Database and Benchmarks

Joseph P. Robinson, Ming Shao, Yue Wu +1

cs.CV2019

Large Scale Incremental Learning

Yue Wu, Yinpeng Chen, Lijuan Wang +4

cs.CV2018

Image Super-Resolution Using Very Deep Residual Channel Attention Networks

Yulun Zhang, Kunpeng Li, Kai Li +3