Qi Lai

Orcid: 0000-0001-6169-8498

According to our database1, Qi Lai authored at least 13 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Learning few-shot semantic segmentation with error-filtered segment anything model.
Vis. Comput., August, 2025

Towards Precise Weakly Supervised Object Detection via Interactive Contrastive Learning of Context Information.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2025

Hybrid multiple instance learning network for weakly supervised medical image classification and localization.
Expert Syst. Appl., 2025

Unpaired to paired data synthesis and generative ensemble network for smudged image restoration.
Appl. Soft Comput., 2025

2024
Fast Broad Multiview Multi-Instance Multilabel Learning (FBM3L) With Viewwise Intercorrelation.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

Weakly Supervised Semantic Segmentation via Dual-Stream Contrastive Learning of Cross-Image Contextual Information.
IEEE Trans. Ind. Informatics, October, 2024

Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) With Diverse Inter-Correlations and Its Application to Medical Image Classification.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Importance-Performance Analysis (IPA) in Researching the Satisfaction of Simulation.
Int. J. Gaming Comput. Mediat. Simulations, 2024

Weakly-supervised Semantic Segmentation via Dual-stream Contrastive Learning of Cross-image Contextual Information.
CoRR, 2024

Boosting Few-Shot Semantic Segmentation Via Segment Anything Model.
CoRR, 2024

2022
Joint Discriminative Latent Subspace Learning for Image Classification.
IEEE Trans. Circuits Syst. Video Technol., 2022

Multi-scale Multi-instance Multi-feature Joint Learning Broad Network (M<sup>3</sup>JLBN) for gastric intestinal metaplasia subtype classification.
Knowl. Based Syst., 2022

Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) with Diverse Inter-Correlations and its application to medical image classification.
CoRR, 2022


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