Heliang Zheng

Orcid: 0000-0003-2220-3880

According to our database1, Heliang Zheng authored at least 20 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Infinite-ID: Identity-preserved Personalization via ID-semantics Decoupling Paradigm.
CoRR, 2024

2023
PartSeg: Few-shot Part Segmentation via Part-aware Prompt Learning.
CoRR, 2023

OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System.
CoRR, 2023

Domain Re-Modulation for Few-Shot Generative Domain Adaptation.
CoRR, 2023

Domain Re-Modulation for Few-Shot Generative Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Null-text Guidance in Diffusion Models is Secretly a Cartoon-style Creator.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Unified Discrete Diffusion for Simultaneous Vision-Language Generation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Token Contrast for Weakly-Supervised Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
3DDesigner: Towards Photorealistic 3D Object Generation and Editing with Text-guided Diffusion Models.
CoRR, 2022

SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Leveraging GAN Priors for Few-Shot Part Segmentation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Learning Rich Part Hierarchies With Progressive Attention Networks for Fine-Grained Image Recognition.
IEEE Trans. Image Process., 2020

Learning Semantic-aware Normalization for Generative Adversarial Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Learning Deep Bilinear Transformation for Fine-grained Image Representation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017
Learning Multi-attention Convolutional Neural Network for Fine-Grained Image Recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017


  Loading...