65 citations · 136 across the 6 of their papers we have counts for
9 papers
Subgroup-based Rank-1 Lattice Quasi-Monte Carlo
Yueming Lyu, Yuan Yuan, Ivor W. Tsang
Quasi-Monte Carlo (QMC) is an essential tool for integral approximation, Bayesian inference, and sampling for simulation in science, etc. In the QMC area, the rank-1 lattice is imp…
In-Home Daily-Life Captioning Using Radio Signals
Lijie Fan, Tianhong Li, Yuan Yuan +1
This paper aims to caption daily life --i.e., to create a textual description of people's activities and interactions with objects in their homes. Addressing this problem requires…
Learning Longterm Representations for Person Re-Identification Using Radio Signals
Lijie Fan, Tianhong Li, Rongyao Fang +3
Person Re-Identification (ReID) aims to recognize a person-of-interest across different places and times. Existing ReID methods rely on images or videos collected using RGB cameras…
Neuron Linear Transformation: Modeling the Domain Shift for Crowd Counting
Qi Wang, Tao Han, Junyu Gao +1
Cross-domain crowd counting (CDCC) is a hot topic due to its importance in public safety. The purpose of CDCC is to alleviate the domain shift between the source and target domain.…
Feature-aware Adaptation and Density Alignment for Crowd Counting in Video Surveillance
Junyu Gao, Yuan Yuan, Qi Wang
With the development of deep neural networks, the performance of crowd counting and pixel-wise density estimation are continually being refreshed. Despite this, there are still two…
Marginalized Average Attentional Network for Weakly-Supervised Learning
Yuan Yuan, Yueming Lyu, Xi Shen +2
In weakly-supervised temporal action localization, previous works have failed to locate dense and integral regions for each entire action due to the overestimation of the most sali…