Zhinan Qiao

13 papers A* 1A 1B 3Journal 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
SPADe: Spatial Plaid Attention Decoder for Semantic Segmentation of Street Views.
IEEE Trans. Intell. Transp. Syst.
Lijun Xie, Xiaohui Yuan, Abolfazl Meyarian, Zhinan Qiao, Zhenchun Wei, Lichuan Gu
2024 B conf
Spatial Plaid Attention Decoder for Semantic Segmentation.
ICIP
Abolfazl Meyarian, Xiaohui Yuan, Zhinan Qiao
2023 J jnl
Designing Deep Networks for Scene Recognition.
CoRR
Zhinan Qiao, Xiaohui Yuan
2023 J jnl
Efficient deep-narrow residual networks using dilated pooling for scene recognition.
Expert Syst. Appl.
Zhinan Qiao, Xiaohui Yuan, Runmei Zhang, Tian Chen, Chaoning Zhang
2022 A* conf
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo.
CVPR
Chaoning Zhang, Kang Zhang, Trung X. Pham, Axi Niu, Zhinan Qiao, Chang D. Yoo, In So Kweon
2022 J jnl
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo.
CoRR
Chaoning Zhang, Kang Zhang, Trung X. Pham, Axi Niu, Zhinan Qiao, Chang D. Yoo, In So Kweon
2022 J jnl
Scale attentive network for scene recognition.
Neurocomputing
Xiaohui Yuan, Zhinan Qiao, Abolfazl Meyarian
2021 A conf
Learning Connected Attentions for Convolutional Neural Networks.
ICME
Xu Ma, Jingda Guo, Sihai Tang, Zhinan Qiao, Qi Chen, Qing Yang, Song Fu, Paparao Palacharla, Nannan Wang, Xi Wang
2021 J jnl
Urban land-use analysis using proximate sensing imagery: a survey.
CoRR
Zhinan Qiao, Xiaohui Yuan
2021 J jnl
Urban land-use analysis using proximate sensing imagery: a survey.
Int. J. Geogr. Inf. Sci.
Zhinan Qiao, Xiaohui Yuan
2020 B conf
Attention Pyramid Module for Scene Recognition.
ICPR
Zhinan Qiao, Xiaohui Yuan, Chengyuan Zhuang, Abolfazl Meyarian
2020 B conf
Cascaded Context Dependency: An Extremely Lightweight Module For Deep Convolutional Neural Networks.
ICIP
Xu Ma, Zhinan Qiao, Jingda Guo, Sihai Tang, Qi Chen, Qing Yang, Song Fu
2020 J jnl
DCANet: Learning Connected Attentions for Convolutional Neural Networks.
CoRR
Xu Ma, Jingda Guo, Sihai Tang, Zhinan Qiao, Qi Chen, Qing Yang, Song Fu