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Nanjing University of Science and Technology: Nanjing, CN

Employment
Source: Self-asserted source
Qiong Wang

Works (17)

FECANet: Boosting Few-Shot Semantic Segmentation With Feature-Enhanced Context-Aware Network

IEEE Transactions on Multimedia
2023 | Journal article
Contributors: Huafeng Liu; Pai Peng; Tao Chen; Qiong Wang; Yazhou Yao; Xian-Sheng Hua
Source: check_circle
Crossref

Guided by Meta-Set: A Data-Driven Method for Fine-Grained Visual Recognition

IEEE Transactions on Multimedia
2023 | Journal article
Contributors: Chuanyi Zhang; Guosheng Lin; Qiong Wang; Fumin Shen; Yazhou Yao; Zhenmin Tang
Source: check_circle
Crossref

Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic Segmentation

IEEE Transactions on Multimedia
2023 | Journal article
Contributors: Tao Chen; Yazhou Yao; Lei Zhang; Qiong Wang; Guo-Sen Xie; Fumin Shen
Source: check_circle
Crossref

An Uncertainly Dynamic Loss Correction and Global Sample Selection Method for Webly Supervised Fine-Grained Visual Classification

Circuits Syst. Signal Process.
2022 | Journal article
Source: Self-asserted source
Qiong Wang

Co-LDL: A Co-Training-Based Label Distribution Learning Method for Tackling Label Noise

IEEE Transactions on Multimedia
2022 | Journal article
Contributors: Zeren Sun; Huafeng Liu; Qiong Wang; Tianfei Zhou; Qi Wu; Zhenmin Tang
Source: check_circle
Crossref

DBFC-Net: a uniform framework for fine-grained cross-media retrieval

Multim. Syst.
2022 | Journal article
Source: Self-asserted source
Qiong Wang

Enhanced Feature Alignment for Unsupervised Domain Adaptation of Semantic Segmentation

IEEE Transactions on Multimedia
2022 | Journal article
Contributors: Tao Chen; Shui-Hua Wang; Qiong Wang; Zheng Zhang; Guo-Sen Xie; Zhenmin Tang
Source: check_circle
Crossref

Few-Shot Object Detection via Understanding Convolution and Attention

Pattern Recognition and Computer Vision - 5th Chinese Conference, PRCV 2022, Shenzhen, China, November 4-7, 2022, Proceedings, Part I
2022 | Conference paper
Source: Self-asserted source
Qiong Wang

Robust Learning From Noisy Web Images Via Data Purification for Fine-Grained Recognition

IEEE Transactions on Multimedia
2022 | Journal article
Contributors: Chuanyi Zhang; Qiong Wang; Guosen Xie; Qi Wu; Fumin Shen; Zhenmin Tang
Source: check_circle
Crossref

Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic Segmentation

CoRR
2022 | Journal article
Source: Self-asserted source
Qiong Wang

Semantically Meaningful Class Prototype Learning for One-Shot Image Segmentation

IEEE Transactions on Multimedia
2022 | Journal article
Contributors: Tao Chen; Guo-Sen Xie; Yazhou Yao; Qiong Wang; Fumin Shen; Zhenmin Tang; Jian Zhang
Source: check_circle
Crossref

Unsupervised Pre-training for 3D Object Detection with Transformer

Pattern Recognition and Computer Vision - 5th Chinese Conference, PRCV 2022, Shenzhen, China, November 4-7, 2022, Proceedings, Part III
2022 | Conference paper
Source: Self-asserted source
Qiong Wang

Multi-scale Self-attention-based Few-shot Object Detection for Remote Sensing Images

2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)
2022-09-26 | Conference paper
Contributors: Qiong Wang; Run Wang; Qiong Wang; Jiawei Yu; Jiaxing Tong
Source: Self-asserted source
Qiong Wang

Dual discriminative auto-encoder network for zero shot image recognition

J. Intell. Fuzzy Syst.
2021 | Journal article
Source: Self-asserted source
Qiong Wang

Local Self-Attention on Fine-grained Cross-media Retrieval

MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1 - 3, 2021
2021 | Conference paper
Source: Self-asserted source
Qiong Wang

Multi-model Network for Fine-Grained Cross-Media Retrieval

Pattern Recognition and Computer Vision - Third Chinese Conference, PRCV 2020, Nanjing, China, October 16-18, 2020, Proceedings, Part II
2020 | Conference paper
Source: Self-asserted source
Qiong Wang

Exploiting textual and visual features for image categorization

Pattern Recognit. Lett.
2019 | Journal article
Source: Self-asserted source
Qiong Wang