Meina Kan

Orcid: 0000-0001-9483-875X

According to our database1, Meina Kan authored at least 59 papers between 2011 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
HPNet: Dynamic Trajectory Forecasting with Historical Prediction Attention.
CoRR, 2024

Shape-biased CNNs are Not Always Superior in Out-of-Distribution Robustness.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
BLPSeg: Balance the Label Preference in Scribble-Supervised Semantic Segmentation.
IEEE Trans. Image Process., 2023

Triplet Knowledge Distillation.
CoRR, 2023

Function-Consistent Feature Distillation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

DandelionNet: Domain Composition with Instance Adaptive Classification for Domain Generalization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Learning pseudo labels for semi-and-weakly supervised semantic segmentation.
Pattern Recognit., 2022

Personalized Convolution for Face Recognition.
Int. J. Comput. Vis., 2022

Mutual Learning of Joint and Separate Domain Alignments for Multi-Source Domain Adaptation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

GAN with Multivariate Disentangling for Controllable Hair Editing.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Corrections to "Learning to Learn Adaptive Classifier-Predictor for Few-Shot Learning".
IEEE Trans. Neural Networks Learn. Syst., 2021

Learning to Learn Adaptive Classifier-Predictor for Few-Shot Learning.
IEEE Trans. Neural Networks Learn. Syst., 2021

Image style disentangling for instance-level facial attribute transfer.
Comput. Vis. Image Underst., 2021

EigenGAN: Layer-Wise Eigen-Learning for GANs.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Learning deep face representation with long-tail data: An aggregate-and-disperse approach.
Pattern Recognit. Lett., 2020

Deformable face net for pose invariant face recognition.
Pattern Recognit., 2020

PA-GAN: Progressive Attention Generative Adversarial Network for Facial Attribute Editing.
CoRR, 2020

Self-Supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Unsupervised Domain Adaptation With Hierarchical Gradient Synchronization.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
AttGAN: Facial Attribute Editing by Only Changing What You Want.
IEEE Trans. Image Process., 2019

Hierarchical Attention for Part-Aware Face Detection.
Int. J. Comput. Vis., 2019

Locality-constrained framework for face alignment.
Frontiers Comput. Sci., 2019

Self-supervised Scale Equivariant Network for Weakly Supervised Semantic Segmentation.
CoRR, 2019

Weakly Supervised Object Detection With Segmentation Collaboration.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

S2GAN: Share Aging Factors Across Ages and Share Aging Trends Among Individuals.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Deformable Face Net: Learning Pose Invariant Feature with Pose Aware Feature Alignment for Face Recognition.
Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

Fully Learnable Group Convolution for Acceleration of Deep Neural Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Face Anti-Spoofing with Multi-Scale Information.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Hierarchical Training for Large Scale Face Recognition with Few Samples Per Subject.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Generative Adversarial Network with Spatial Attention for Face Attribute Editing.
Proceedings of the Computer Vision - ECCV 2018, 2018

Face Recognition with Contrastive Convolution.
Proceedings of the Computer Vision - ECCV 2018, 2018

Real-Time Rotation-Invariant Face Detection With Progressive Calibration Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Duplex Generative Adversarial Network for Unsupervised Domain Adaptation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Task-Adaptive Feature Reweighting for Few Shot Classification.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Funnel-structured cascade for multi-view face detection with alignment-awareness.
Neurocomputing, 2017

VIPLFaceNet: an open source deep face recognition SDK.
Frontiers Comput. Sci., 2017

Arbitrary Facial Attribute Editing: Only Change What You Want.
CoRR, 2017

Recursive Spatial Transformer (ReST) for Alignment-Free Face Recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Self-Error-Correcting Convolutional Neural Network for Learning with Noisy Labels.
Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

Noisy Face Image Sets Refining Collaborated with Discriminant Feature Space Learning.
Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

LDF-Net: Learning a Displacement Field Network for Face Recognition across Pose.
Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

A Fully End-to-End Cascaded CNN for Facial Landmark Detection.
Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

Robust FEC-CNN: A High Accuracy Facial Landmark Detection System.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
Multi-View Discriminant Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Occlusion-Free Face Alignment: Deep Regression Networks Coupled with De-Corrupt AutoEncoders.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Multi-view Deep Network for Cross-View Classification.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
AgeNet: Deeply Learned Regressor and Classifier for Robust Apparent Age Estimation.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Leveraging Datasets with Varying Annotations for Face Alignment via Deep Regression Network.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Bi-Shifting Auto-Encoder for Unsupervised Domain Adaptation.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Report on the FG 2015 Video Person Recognition Evaluation.
Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015

2014
Semisupervised Hashing via Kernel Hyperplane Learning for Scalable Image Search.
IEEE Trans. Circuits Syst. Video Technol., 2014

Domain Adaptation for Face Recognition: Targetize Source Domain Bridged by Common Subspace.
Int. J. Comput. Vis., 2014

Coarse-to-Fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment.
Proceedings of the Computer Vision - ECCV 2014, 2014

Stacked Progressive Auto-Encoders (SPAE) for Face Recognition Across Poses.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Topic-Aware Deep Auto-Encoders (TDA) for Face Alignment.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
Learning Prototype Hyperplanes for Face Verification in the Wild.
IEEE Trans. Image Process., 2013

Adaptive discriminant learning for face recognition.
Pattern Recognit., 2013

2011
Adaptive discriminant analysis for face recognition from single sample per person.
Proceedings of the Ninth IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), 2011

Side-Information based Linear Discriminant Analysis for Face Recognition.
Proceedings of the British Machine Vision Conference, 2011


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