Yaohui Wang

Orcid: 0009-0002-9487-6187

Affiliations:
  • University of Côte d'Azur, Nice, France (PhD 2021)
  • INRIA, STARS, Sophia-Antipolis, France


According to our database1, Yaohui Wang authored at least 28 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Online presence:

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Bibliography

2024
LIA: Latent Image Animator.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

View-Invariant Skeleton Action Representation Learning via Motion Retargeting.
Int. J. Comput. Vis., July, 2024

Cinemo: Consistent and Controllable Image Animation with Motion Diffusion Models.
CoRR, 2024

Ouroboros3D: Image-to-3D Generation via 3D-aware Recursive Diffusion.
CoRR, 2024

AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

EpiDiff: Enhancing Multi-View Synthesis via Localized Epipolar-Constrained Diffusion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Learning Invariance From Generated Variance for Unsupervised Person Re-Identification.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models.
CoRR, 2023

AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.
CoRR, 2023

LEO: Generative Latent Image Animator for Human Video Synthesis.
CoRR, 2023

LAC - Latent Action Composition for Skeleton-based Action Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Self-Supervised Video Representation Learning via Latent Time Navigation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
ViA: View-invariant Skeleton Action Representation Learning via Motion Retargeting.
CoRR, 2022

Latent Image Animator: Learning to Animate Images via Latent Space Navigation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Learning to Generate Human Videos. (Apprendre à Générer des Vidéos de Personnes).
PhD thesis, 2021

InMoDeGAN: Interpretable Motion Decomposition Generative Adversarial Network for Video Generation.
CoRR, 2021

Selective Spatio-Temporal Aggregation Based Pose Refinement System: Towards Understanding Human Activities in Real-World Videos.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Self-Supervised Video Pose Representation Learning for Occlusion- Robust Action Recognition.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

Emotion Editing in Head Reenactment Videos using Latent Space Manipulation.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

Joint Generative and Contrastive Learning for Unsupervised Person Re-Identification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

UNIK: A Unified Framework for Real-world Skeleton-based Action Recognition.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
ImaGINator: Conditional Spatio-Temporal GAN for Video Generation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

A video is worth more than 1000 lies. Comparing 3DCNN approaches for detecting deepfakes.
Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020

G3AN: Disentangling Appearance and Motion for Video Generation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
G<sup>3</sup>AN: This video does not exist. Disentangling motion and appearance for video generation.
CoRR, 2019

2018
Comparing Methods for Assessment of Facial Dynamics in Patients with Major Neurocognitive Disorders.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

From Attribute-Labels to Faces: Face Generation Using a Conditional Generative Adversarial Network.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

From attributes to faces: a conditional generative network for face generation.
Proceedings of the 2018 International Conference of the Biometrics Special Interest Group, 2018


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