Heliang Zheng

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 30

Top Topics

Diffusion Models

Image Recognition

Top Venues

Publications

Yi Wu, Ziqiang Li, Heliang Zheng, Chaoyue Wang, Bin Li
Infinite-ID: Identity-preserved Personalization via ID-semantics Decoupling Paradigm. CoRR (2024)
Mengya Han, Heliang Zheng, Chaoyue Wang, Yong Luo, Han Hu, Jing Zhang, Yonggang Wen
PartSeg: Few-shot Part Segmentation via Part-aware Prompt Learning. CoRR (2023)
Lixiang Ru, Heliang Zheng, Yibing Zhan, Bo Du
Token Contrast for Weakly-Supervised Semantic Segmentation. CVPR (2023)
Jing Zhao, Heliang Zheng, Chaoyue Wang, Long Lan, Wenjing Yang
MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion Models. ICCV (2023)
Yi Wu, Ziqiang Li, Chaoyue Wang, Heliang Zheng, Shanshan Zhao, Bin Li, Dacheng Tao
Domain Re-Modulation for Few-Shot Generative Domain Adaptation. CoRR (2023)
Jing Zhao, Heliang Zheng, Chaoyue Wang, Long Lan, Wenjing Yang
MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion Models. CoRR (2023)
Jing Zhao, Heliang Zheng, Chaoyue Wang, Long Lan, Wanrong Huang, Wenjing Yang
Null-text Guidance in Diffusion Models is Secretly a Cartoon-style Creator. CoRR (2023)
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
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System. CoRR (2023)
Jing Zhao, Heliang Zheng, Chaoyue Wang, Long Lan, Wanrong Huang, Wenjing Yang
Null-text Guidance in Diffusion Models is Secretly a Cartoon-style Creator. ACM Multimedia (2023)
Minghui Hu, Chuanxia Zheng, Zuopeng Yang, Tat-Jen Cham, Heliang Zheng, Chaoyue Wang, Dacheng Tao, Ponnuthurai N. Suganthan
Unified Discrete Diffusion for Simultaneous Vision-Language Generation. ICLR (2023)
Lixiang Ru, Heliang Zheng, Yibing Zhan, Bo Du
Token Contrast for Weakly-Supervised Semantic Segmentation. CoRR (2023)
Yi Wu, Ziqiang Li, Chaoyue Wang, Heliang Zheng, Shanshan Zhao, Bin Li, Dacheng Tao
Domain Re-Modulation for Few-Shot Generative Domain Adaptation. NeurIPS (2023)
Ziqiang Li, Chaoyue Wang, Heliang Zheng, Jing Zhang, Bin Li
FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs. CoRR (2022)
Gang Li, Heliang Zheng, Daqing Liu, Chaoyue Wang, Bing Su, Changwen Zheng
SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders. NeurIPS (2022)
Mengya Han, Heliang Zheng, Chaoyue Wang, Yong Luo, Han Hu, Bo Du
Leveraging GAN Priors for Few-Shot Part Segmentation. ACM Multimedia (2022)
Gang Li, Heliang Zheng, Daqing Liu, Chaoyue Wang, Bing Su, Changwen Zheng
SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders. CoRR (2022)
Minghui Hu, Chuanxia Zheng, Heliang Zheng, Tat-Jen Cham, Chaoyue Wang, Zuopeng Yang, Dacheng Tao, Ponnuthurai N. Suganthan
Unified Discrete Diffusion for Simultaneous Vision-Language Generation. CoRR (2022)
Gang Li, Heliang Zheng, Chaoyue Wang, Chang Li, Changwen Zheng, Dacheng Tao
3DDesigner: Towards Photorealistic 3D Object Generation and Editing with Text-guided Diffusion Models. CoRR (2022)
Mengya Han, Heliang Zheng, Chaoyue Wang, Yong Luo, Han Hu, Bo Du
Leveraging GAN Priors for Few-Shot Part Segmentation. CoRR (2022)
Ziqiang Li, Chaoyue Wang, Heliang Zheng, Jing Zhang, Bin Li
FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs. ECCV (15) (2022)
Heliang Zheng, Huan Yang, Jianlong Fu, Zheng-Jun Zha, Jiebo Luo
Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment. ICCV (2021)
Heliang Zheng, Huan Yang, Jianlong Fu, Zheng-Jun Zha, Jiebo Luo
Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment. CoRR (2021)
Heliang Zheng, Jianlong Fu, Yanhong Zeng, Jiebo Luo, Zheng-Jun Zha
Learning Semantic-aware Normalization for Generative Adversarial Networks. NeurIPS (2020)
Heliang Zheng, Jianlong Fu, Zheng-Jun Zha, Jiebo Luo, Tao Mei
Learning Rich Part Hierarchies With Progressive Attention Networks for Fine-Grained Image Recognition. IEEE Trans. Image Process. 29 (2020)
Heliang Zheng, Jianlong Fu, Zheng-Jun Zha, Jiebo Luo
Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-grained Image Recognition. CoRR (2019)
Heliang Zheng, Jianlong Fu, Zheng-Jun Zha, Jiebo Luo
Learning Deep Bilinear Transformation for Fine-grained Image Representation. CoRR (2019)
Heliang Zheng, Jianlong Fu, Zheng-Jun Zha, Jiebo Luo
Learning Deep Bilinear Transformation for Fine-grained Image Representation. NeurIPS (2019)
Heliang Zheng, Jianlong Fu, Zheng-Jun Zha, Jiebo Luo
Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition. CVPR (2019)
Jianlong Fu, Heliang Zheng, Tao Mei
Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition. CVPR (2017)
Heliang Zheng, Jianlong Fu, Tao Mei, Jiebo Luo
Learning Multi-attention Convolutional Neural Network for Fine-Grained Image Recognition. ICCV (2017)