Heliang Zheng

According to our database, Heliang Zheng authored at least 22 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MagicNaming: Consistent Identity Generation by Finding a "Name Space" in T2I Diffusion Models.

Jing Zhao, Heliang Zheng, Chaoyue Wang, Long Lan, Wanrong Hunag, Yuhua Tang

CoRR, 2024

DreamBooth++: Boosting Subject-Driven Generation via Region-Level References Packing.

Zhongyi Fan, Zixin Yin, Gang Li, Yibing Zhan, Heliang Zheng

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Infinite-ID: Identity-Preserved Personalization via ID-Semantics Decoupling Paradigm.

Yi Wu, Ziqiang Li, Heliang Zheng, Chaoyue Wang, Bin Li

Proceedings of the Computer Vision - ECCV 2024, 2024

Reference-based GAN Evaluation by Adaptive Inversion.

Jianbo Wang, Heliang Zheng, Toshihiko Yamasaki

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

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

Mengya Han, Heliang Zheng, Chaoyue Wang, Yong Luo, Han Hu, Jing Zhang, Yonggang Wen

CoRR, 2023

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

Chao Xue, Wei Liu, Shuai Xie, Zhenfang Wang, Jiaxing Li, Xuyang Peng, Liang Ding, Shanshan Zhao, Qiong Cao, Yibo Yang, Fengxiang He, Bohua Cai, Rongcheng Bian, Yiyan Zhao, Heliang Zheng, Xiangyang Liu, Dongkai Liu, Daqing Liu, Li Shen, Chang Li, Shijin Zhang, Yukang Zhang, Guanpu Chen, Shixiang Chen, Yibing Zhan, Jing Zhang, Chaoyue Wang, Dacheng Tao

CoRR, 2023

Domain Re-Modulation for Few-Shot Generative Domain Adaptation.

Yi Wu, Ziqiang Li, Chaoyue Wang, Heliang Zheng, Shanshan Zhao, Bin Li, Dacheng Tao

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.

Jing Zhao, Heliang Zheng, Chaoyue Wang, Long Lan, Wanrong Huang, Wenjing Yang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Unified Discrete Diffusion for Simultaneous Vision-Language Generation.

Minghui Hu, Chuanxia Zheng, Zuopeng Yang, Tat-Jen Cham, Heliang Zheng, Chaoyue Wang, Dacheng Tao, Ponnuthurai N. Suganthan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion Models.

Jing Zhao, Heliang Zheng, Chaoyue Wang, Long Lan, Wenjing Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Token Contrast for Weakly-Supervised Semantic Segmentation.

Lixiang Ru, Heliang Zheng, Yibing Zhan, Bo Du

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.

Gang Li, Heliang Zheng, Chaoyue Wang, Chang Li, Changwen Zheng, Dacheng Tao

CoRR, 2022

SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders.

Gang Li, Heliang Zheng, Daqing Liu, Chaoyue Wang, Bing Su, Changwen Zheng

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.

Mengya Han, Heliang Zheng, Chaoyue Wang, Yong Luo, Han Hu, Bo Du

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.

Ziqiang Li, Chaoyue Wang, Heliang Zheng, Jing Zhang, Bin Li

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment.

Heliang Zheng, Huan Yang, Jianlong Fu, Zheng-Jun Zha, Jiebo Luo

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.

Heliang Zheng, Jianlong Fu, Zheng-Jun Zha, Jiebo Luo, Tao Mei

IEEE Trans. Image Process., 2020

Learning Semantic-aware Normalization for Generative Adversarial Networks.

Heliang Zheng, Jianlong Fu, Yanhong Zeng, Jiebo Luo, Zheng-Jun Zha

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.

Heliang Zheng, Jianlong Fu, Zheng-Jun Zha, Jiebo Luo

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.

Heliang Zheng, Jianlong Fu, Zheng-Jun Zha, Jiebo Luo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017

Learning Multi-attention Convolutional Neural Network for Fine-Grained Image Recognition.

Heliang Zheng, Jianlong Fu, Tao Mei, Jiebo Luo

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.

Jianlong Fu, Heliang Zheng, Tao Mei

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017