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20112023
most citedConstruction of Capacity-Achieving Lattice Codes: Polar Lattices

29 citations · 111 across the 28 of their papers we have counts for

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12 papers · 1 filter

cs.CV2022★ 6 cited

DPNet: Dual-Path Network for Real-time Object Detection with Lightweight Attention

Quan Zhou, Huimin Shi, Weikang Xiang +3

The recent advances of compressing high-accuracy convolution neural networks (CNNs) have witnessed remarkable progress for real-time object detection. To accelerate detection speed…

cs.CV2021

DRBANET: A Lightweight Dual-Resolution Network for Semantic Segmentation with Boundary Auxiliary

Linjie Wang, Quan Zhou, Chenfeng Jiang +2

Due to the powerful ability to encode image details and semantics, many lightweight dual-resolution networks have been proposed in recent years. However, most of them ignore the be…

cs.CV2021★ 2 cited

DPNET: Dual-Path Network for Efficient Object Detectioj with Lightweight Self-Attention

Huimin Shi, Quan Zhou, Yinghao Ni +2

Object detection often costs a considerable amount of computation to get satisfied performance, which is unfriendly to be deployed in edge devices. To address the trade-off between…

cs.CV2020

Universal Multi-Source Domain Adaptation

Yueming Yin, Zhen Yang, Haifeng Hu +1

Unsupervised domain adaptation enables intelligent models to transfer knowledge from a labeled source domain to a similar but unlabeled target domain. Recent study reveals that kno…

cs.CV2020★ 3 cited

Branch-Cooperative OSNet for Person Re-Identification

Lei Zhang, Xiaofu Wu, Suofei Zhang +1

Multi-branch is extensively studied for learning rich feature representation for person re-identification (Re-ID). In this paper, we propose a branch-cooperative architecture over…

cs.CV2020

BiCANet: Bi-directional Contextual Aggregating Network for Image Semantic Segmentation

Quan Zhou, Dechun Cong, Bin Kang +4

Exploring contextual information in convolution neural networks (CNNs) has gained substantial attention in recent years for semantic segmentation. This paper introduces a Bi-direct…