activity
20182026
most citedPath Aggregation Network for Instance Segmentation

355 citations · 457 across the 26 of their papers we have counts for

collaborators
Showing 2022Show all

9 papers · 1 filter

cs.CV2022★ 1 cited

Lightweight Facial Attractiveness Prediction Using Dual Label Distribution

Shu Liu, Enquan Huang, Ziyu Zhou +4

Facial attractiveness prediction (FAP) aims to assess facial attractiveness automatically based on human aesthetic perception. Previous methods using deep convolutional neural netw…

cs.IT2022

A Lower Bound on the List-Decodability of Insdel Codes

Shu Liu, Ivan Tjuawinata, Chaoping Xing

For codes equipped with metrics such as Hamming metric, symbol pair metric or cover metric, the Johnson bound guarantees list-decodability of such codes. That is, the Johnson bound…

cs.CV2022★ 2 cited

Generalized Parametric Contrastive Learning

Jiequan Cui, Zhisheng Zhong, Zhuotao Tian +3

In this paper, we propose the Generalized Parametric Contrastive Learning (GPaCo/PaCo) which works well on both imbalanced and balanced data. Based on theoretical analysis, we obse…

cs.IT2022

A new construction of nonlinear codes via algebraic function fields

Shu Liu, Liming Ma, Ting-Yi Wu +1

In coding theory, constructing codes with good parameters is one of the most important and fundamental problems. Though a great many of good codes have been produced, most of them…

cs.IT2022★ 1 cited

Good locally repairable codes via propagation rules

Shu Liu, Liming Ma, Tingyi Wu +1

In classical coding theory, it is common to construct new codes via propagation rules. There are various propagation rules to construct classical block codes. However, propagation…

cs.CV2022★ 1 cited

DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation

Xin Lai, Zhuotao Tian, Xiaogang Xu +5

Unsupervised domain adaptation in semantic segmentation has been raised to alleviate the reliance on expensive pixel-wise annotations. It leverages a labeled source domain dataset…

cs.CL2022★ 1 cited

Improving Data Driven Inverse Text Normalization using Data Augmentation

Laxmi Pandey, Debjyoti Paul, Pooja Chitkara +6

Inverse text normalization (ITN) is used to convert the spoken form output of an automatic speech recognition (ASR) system to a written form. Traditional handcrafted ITN rules can…

cs.IT2022

Upper bounds on maximum lengths of Singleton-optimal locally repairable codes

Shu Liu, Tingyi Wu, Chaoping Xing +1

A locally repairable code is called Singleton-optimal if it achieves the Singleton-type bound. Such codes are of great theoretic interest in the study of locally repairable codes.…

cs.AI2022

Decision-making of Emergent Incident based on P-MADDPG

Yibo Guo, Lishuo Hou, Mingxin Li +5

In recent years, human casualties and damage to resources caused by emergent incidents have become a serious problem worldwide. In this paper, we model the emergency decision-makin…