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20162022
most citedLocality-constrained Spatial Transformer Network for Video Crowd Counting

7 citations · 9 across the 9 of their papers we have counts for

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9 papers · 1 filter

eess.SP2022

Sampling of Correlated Bandlimited Continuous Signals by Joint Time-vertex Graph Fourier Transform

Zhongyi Ni, Feng Ji, Hang Sheng +2

When sampling multiple signals, the correlation between the signals can be exploited to reduce the overall number of samples. In this paper, we study the sampling theory of multipl…

eess.SP2021

Recovery of Graph Signals from Sign Measurements

Wenwei Liu, Hui Feng, Kaixuan Wang +2

Sampling and interpolation have been extensively studied, in order to reconstruct or estimate the entire graph signal from the signal values on a subset of vertexes, of which most…

eess.SP2020

Sampling Policy Design for Tracking Time-Varying Graph Signals with Adaptive Budget Allocation

Xuan Xie, Hui Feng, Bo Hu

There have been many works that focus on the sampling set design for a static graph signal, but few for time-varying graph signals (GS). In this paper, we concentrate on how to sel…

eess.SP2019

Bayesian Design of Sampling Set for Bandlimited Graph Signals

Xuan Xie, Junhao Yu, Hui Feng +1

The design of sampling set (DoS) for bandlimited graph signals (GS) has been extensively studied in recent years, but few of them exploit the benefits of the stochastic prior of GS…

eess.SP2019

On Critical Sampling of Time-Vertex Graph Signals

Junhao Yu, Xuan Xie, Hui Feng +1

Joint time-vertex graph signals are pervasive in real-world. This paper focuses on the fundamental problem of sampling and reconstruction of joint time-vertex graph signals. We pro…

eess.SP20191 cited

Active Sampling for Approximately Bandlimited Graph Signals

Sijie Lin, Xuan Xie, Hui Feng +1

This paper investigates the active sampling for estimation of approximately bandlimited graph signals. With the assistance of a graph filter, an approximately bandlimited graph sig…