Yichun Shi

Orcid: 0000-0003-3121-8785

According to our database1, Yichun Shi authored at least 34 papers between 2016 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Handling Data Heterogeneity for IoT Devices in Federated Learning: A Knowledge Fusion Approach.
IEEE Internet Things J., 2024

X-Portrait: Expressive Portrait Animation with Hierarchical Motion Attention.
CoRR, 2024

2023
Federated Learning for IoT Devices With Domain Generalization.
IEEE Internet Things J., June, 2023

DiffPortrait3D: Controllable Diffusion for Zero-Shot Portrait View Synthesis.
CoRR, 2023

ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation.
CoRR, 2023

MagicDance: Realistic Human Dance Video Generation with Motions & Facial Expressions Transfer.
CoRR, 2023

Consistent-1-to-3: Consistent Image to 3D View Synthesis via Geometry-aware Diffusion Models.
CoRR, 2023

MVDream: Multi-view Diffusion for 3D Generation.
CoRR, 2023

AgileGAN3D: Few-Shot 3D Portrait Stylization by Augmented Transfer Learning.
CoRR, 2023

OmniAvatar: Geometry-Guided Controllable 3D Head Synthesis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

PAniC-3D: Stylized Single-view 3D Reconstruction from Portraits of Anime Characters.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360°.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
IDE-3D: Interactive Disentangled Editing for High-Resolution 3D-Aware Portrait Synthesis.
ACM Trans. Graph., 2022

Handling Data Heterogeneity in Federated Learning via Knowledge Fusion.
CoRR, 2022

AvatarGen: A 3D Generative Model for Animatable Human Avatars.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

SemanticStyleGAN: Learning Compositional Generative Priors for Controllable Image Synthesis and Editing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Federated Learning with Domain Generalization.
CoRR, 2021

Lifting 2D StyleGAN for 3D-Aware Face Generation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Boosting Unconstrained Face Recognition With Auxiliary Unlabeled Data.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Generalizing Face Representation with Unlabeled Data.
CoRR, 2020

Towards Universal Representation Learning for Deep Face Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
DocFace+: ID Document to Selfie Matching.
IEEE Trans. Biom. Behav. Identity Sci., 2019

Recurrent Embedding Aggregation Network for Video Face Recognition.
CoRR, 2019

Probabilistic Face Embeddings.
CoRR, 2019

Low Quality Video Face Recognition: Multi-Mode Aggregation Recurrent Network (MARN).
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Probabilistic Face Embeddings.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Video Face Recognition: Component-wise Feature Aggregation Network (C-FAN).
Proceedings of the 2019 International Conference on Biometrics, 2019

WarpGAN: Automatic Caricature Generation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Face Clustering: Representation and Pairwise Constraints.
IEEE Trans. Inf. Forensics Secur., 2018

Face Recognition: Primates in the Wild.
CoRR, 2018

Improving Face Recognition by Exploring Local Features with Visual Attention.
Proceedings of the 2018 International Conference on Biometrics, 2018

DocFace: Matching ID Document Photos to Selfies.
Proceedings of the 9th IEEE International Conference on Biometrics Theory, 2018

Face Recognition: Primates in the Wild.
Proceedings of the 9th IEEE International Conference on Biometrics Theory, 2018

2016
Visual tracking via an ensemble of random classifiers.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2016


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