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20112023
most citedCrowd Counting and Density Estimation by Trellis Encoder-Decoder Network

78 citations · 378 across the 37 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

cs.NI2019★ 3 cited

Energy-Efficient Resource Allocation in a Multi-UAV-Aided NOMA Network

Xing Xi, Xianbin Cao, Peng Yang +2

This paper is concerned with the resource allocation in a multi-unmanned aerial vehicle (UAV)-aided network for providing enhanced mobile broadband (eMBB) services for user equipme…

cs.NI2019★ 3 cited

Repeatedly Energy-Efficient and Fair Service Coverage: UAV Slicing (Proactive UAV Network Slicing for URLLC and Mobile Broadband Service Multiplexing)

Peng Yang, Xing Xi, Tony Q. S. Quek +3

Unmanned aerial vehicle (UAV) networks are convinced as a significant part of 5G and emerging 6G wireless networks. UAV slicing is a promising proposal of converging different serv…

cs.NI2019★ 1 cited

How Should I Orchestrate Resources of My Slices for Bursty URLLC Service Provision?

Peng Yang, Xing Xi, Tony Q. S. Quek +3

Future wireless networks are convinced to provide flexible and cost-efficient services via exploiting network slicing techniques. However, it is challenging to configure network sl…

eess.SP2019★ 30 cited

Ultra-Fast Accurate AoA Estimation via Automotive Massive-MIMO Radar

Bin Li, Shuseng Wang, Jun Zhang +2

Massive multiple-input multiple-output (MIMO) radar, enabled by millimeter-wave virtual MIMO techniques, provides great promises to the high-resolution automotive sensing and targe…

eess.SP2019★ 6 cited

Millimeter-Wave NOMA with User Grouping, Power Allocation and Hybrid Beamforming

Lipeng Zhu, Jun Zhang, Zhenyu Xiao +3

This paper investigates the application of non-orthogonal multiple access in millimeter-Wave communications (mmWave-NOMA). Particularly, we consider downlink transmission with a hy…

cs.CV2019★ 78 cited

Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network

Xiaolong Jiang, Zehao Xiao, Baochang Zhang +4

Crowd counting has recently attracted increasing interest in computer vision but remains a challenging problem. In this paper, we propose a trellis encoder-decoder network (TEDnet)…