Lei Qi

Orcid: 0000-0001-7091-0702

Affiliations:
  • Southeast University, Nanjing, Jiangsu, China
  • Nanjing University, Nanjing, Jiangsu, China (former)


According to our database1, Lei Qi authored at least 75 papers between 2016 and 2024.

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

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
DoubleAUG: Single-domain Generalized Object Detector in Urban via Color Perturbation and Dual-style Memory.
ACM Trans. Multim. Comput. Commun. Appl., May, 2024

PLACE Dropout: A Progressive Layer-wise and Channel-wise Dropout for Domain Generalization.
ACM Trans. Multim. Comput. Commun. Appl., March, 2024

Domain generalization via Inter-domain Alignment and Intra-domain Expansion.
Pattern Recognit., February, 2024

Learning Generalizable Models via Disentangling Spurious and Enhancing Potential Correlations.
IEEE Trans. Image Process., 2024

NormAUG: Normalization-Guided Augmentation for Domain Generalization.
IEEE Trans. Image Process., 2024

Vision-Based UAV Self-Positioning in Low-Altitude Urban Environments.
IEEE Trans. Image Process., 2024

2023
Unsupervised generalizable multi-source person re-identification: A Domain-specific adaptive framework.
Pattern Recognit., August, 2023

Defensive Few-Shot Learning.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

PLN: Parasitic-Like Network for Barely Supervised Medical Image Segmentation.
IEEE Trans. Medical Imaging, March, 2023

A Novel Mix-Normalization Method for Generalizable Multi-Source Person Re-Identification.
IEEE Trans. Multim., 2023

Better pseudo-label: Joint domain-aware label and dual-classifier for semi-supervised domain generalization.
Pattern Recognit., 2023

PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance.
CoRR, 2023

Roll With the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning.
CoRR, 2023

Scalable Label Distribution Learning for Multi-Label Classification.
CoRR, 2023

Exploring Flat Minima for Domain Generalization with Large Learning Rates.
CoRR, 2023

Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning.
CoRR, 2023

A Theoretical Explanation of Activation Sparsity through Flat Minima and Adversarial Robustness.
CoRR, 2023

DomainAdaptor: A Novel Approach to Test-time Adaptation.
CoRR, 2023

DomainDrop: Suppressing Domain-Sensitive Channels for Domain Generalization.
CoRR, 2023

Towards Semi-supervised Learning with Non-random Missing Labels.
CoRR, 2023

Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning.
CoRR, 2023

A Novel Cross-Perturbation for Single Domain Generalization.
CoRR, 2023

Generalizable Metric Network for Cross-domain Person Re-identification.
CoRR, 2023

eVAE: Evolutionary Variational Autoencoder.
CoRR, 2023

Generalizable Label Distribution Learning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching Between 3D and 2D Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DomainAdaptor: A Novel Approach to Test-time Adaptation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ALOFT: A Lightweight MLP-Like Architecture with Dynamic Low-Frequency Transform for Domain Generalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Inconsistency-Aware Uncertainty Estimation for Semi-Supervised Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2022

Deep Symmetric Adaptation Network for Cross-Modality Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2022

Crosslink-Net: Double-Branch Encoder Network via Fusing Vertical and Horizontal Convolutions for Medical Image Segmentation.
IEEE Trans. Image Process., 2022

Label Distribution Learning for Generalizable Multisource Person Re-Identification.
IEEE Trans. Inf. Forensics Secur., 2022

Feature-Based Style Randomization for Domain Generalization.
IEEE Trans. Circuits Syst. Video Technol., 2022

Adversarial Camera Alignment Network for Unsupervised Cross-Camera Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol., 2022

Generalizable model-agnostic semantic segmentation via target-specific normalization.
Pattern Recognit., 2022

MultiMatch: Multi-task Learning for Semi-supervised Domain Generalization.
CoRR, 2022

Label Distribution Learning for Generalizable Multi-source Person Re-identification.
CoRR, 2022

MutexMatch: Semi-supervised Learning with Mutex-based Consistency Regularization.
CoRR, 2022

Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration.
Proceedings of the Computer Vision - ECCV 2022, 2022

MVDG: A Unified Multi-view Framework for Domain Generalization.
Proceedings of the Computer Vision - ECCV 2022, 2022

RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DC-SSL: Addressing Mismatched Class Distribution in Semi-supervised Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

ST++: Make Self-trainingWork Better for Semi-supervised Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Adaptive Weight of Unreliable Relation Module for Semi-supervised Multi-label Image Recognition.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

Learngene: From Open-World to Your Learning Task.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
GreyReID: A Novel Two-stream Deep Framework with RGB-grey Information for Person Re-identification.
ACM Trans. Multim. Comput. Commun. Appl., 2021

High-Resolution Vehicle Trajectory Extraction and Denoising From Aerial Videos.
IEEE Trans. Intell. Transp. Syst., 2021

A Novel Bi-Hemispheric Discrepancy Model for EEG Emotion Recognition.
IEEE Trans. Cogn. Dev. Syst., 2021

A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning.
Medical Image Anal., 2021

More is Better: A Novel Multi-view Framework for Domain Generalization.
CoRR, 2021

Domain Generalization via Progressive Layer-wise and Channel-wise Dropout.
CoRR, 2021

Unsupervised Domain Generalization for Person Re-identification: A Domain-specific Adaptive Framework.
CoRR, 2021

Crosslink-Net: Double-branch Encoder Segmentation Network via Fusing Vertical and Horizontal Convolutions.
CoRR, 2021

ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation.
CoRR, 2021

Mining Latent Classes for Few-shot Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Progressive Cross-Camera Soft-Label Learning for Semi-Supervised Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol., 2020

Generalizable Semantic Segmentation via Model-agnostic Learning and Target-specific Normalization.
CoRR, 2020

Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Biased Feature Learning for Occlusion Invariant Face Recognition.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
GreyReID: A Two-stream Deep Framework with RGB-grey Information for Person Re-identification.
CoRR, 2019

Adversarial Camera Alignment Network for Unsupervised Cross-camera Person Re-identification.
CoRR, 2019

A Mask Based Deep Ranking Neural Network for Person Retrieval.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification.
IEEE J. Sel. Top. Signal Process., 2018

MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification.
CoRR, 2018

Joint Multi-field Siamese Recurrent Neural Network for Entity Resolution.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

A Novel Image-Specific Transfer Approach for Prostate Segmentation in MR Images.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2016
Multi-view Subspace Clustering via a Global Low-Rank Affinity Matrix.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016


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