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Heliang Zheng
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2020 – today
- 2024
- [c17]Jianbo Wang, Heliang Zheng, Toshihiko Yamasaki:
Reference-based GAN Evaluation by Adaptive Inversion. CVPR Workshops 2024: 910-918 - [c16]Yi Wu, Ziqiang Li, Heliang Zheng, Chaoyue Wang, Bin Li:
Infinite-ID: Identity-Preserved Personalization via ID-Semantics Decoupling Paradigm. ECCV (8) 2024: 279-296 - [c15]Zhongyi Fan
, Zixin Yin
DreamBooth++: Boosting Subject-Driven Generation via Region-Level References Packing. ACM Multimedia 2024: 11013-11021 - [i15]Yi Wu, Ziqiang Li, Heliang Zheng, Chaoyue Wang, Bin Li:
Infinite-ID: Identity-preserved Personalization via ID-semantics Decoupling Paradigm. CoRR abs/2403.11781 (2024) - 2023
- [c14]Lixiang Ru, Heliang Zheng, Yibing Zhan, Bo Du:
Token Contrast for Weakly-Supervised Semantic Segmentation. CVPR 2023: 3093-3102 - [c13]Jing Zhao
MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion Models. ICCV 2023: 22535-22545 - [c12]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 - [c11]Jing Zhao
Null-text Guidance in Diffusion Models is Secretly a Cartoon-style Creator. ACM Multimedia 2023: 5143-5152 - [c10]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 - [i14]Yi Wu, Ziqiang Li, Chaoyue Wang, Heliang Zheng, Shanshan Zhao, Bin Li, Dacheng Tao:
Domain Re-Modulation for Few-Shot Generative Domain Adaptation. CoRR abs/2302.02550 (2023) - [i13]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 abs/2303.00501 (2023) - [i12]Lixiang Ru, Heliang Zheng, Yibing Zhan, Bo Du:
Token Contrast for Weakly-Supervised Semantic Segmentation. CoRR abs/2303.01267 (2023) - [i11]Jing Zhao, Heliang Zheng, Chaoyue Wang, Long Lan, Wenjing Yang:
MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion Models. CoRR abs/2303.13126 (2023) - [i10]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 abs/2305.06710 (2023) - [i9]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 abs/2308.12757 (2023) - 2022
- [c9]Ziqiang Li
FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs. ECCV (15) 2022: 598-615 - [c8]Mengya Han, Heliang Zheng, Chaoyue Wang, Yong Luo, Han Hu, Bo Du:
Leveraging GAN Priors for Few-Shot Part Segmentation. ACM Multimedia 2022: 1339-1347 - [c7]Gang Li, Heliang Zheng, Daqing Liu, Chaoyue Wang, Bing Su, Changwen Zheng:
SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders. NeurIPS 2022 - [i8]Gang Li, Heliang Zheng, Daqing Liu, Chaoyue Wang, Bing Su, Changwen Zheng:
SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders. CoRR abs/2206.10207 (2022) - [i7]Ziqiang Li, Chaoyue Wang, Heliang Zheng, Jing Zhang
FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs. CoRR abs/2207.08630 (2022) - [i6]Mengya Han, Heliang Zheng, Chaoyue Wang, Yong Luo, Han Hu, Bo Du:
Leveraging GAN Priors for Few-Shot Part Segmentation. CoRR abs/2207.13428 (2022) - [i5]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 abs/2211.14108 (2022) - [i4]Minghui Hu, Chuanxia Zheng, Heliang Zheng, Tat-Jen Cham
Unified Discrete Diffusion for Simultaneous Vision-Language Generation. CoRR abs/2211.14842 (2022) - 2021
- [c6]Heliang Zheng, Huan Yang, Jianlong Fu, Zheng-Jun Zha, Jiebo Luo
Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment. ICCV 2021: 10222-10231 - [i3]Heliang Zheng, Huan Yang, Jianlong Fu, Zheng-Jun Zha, Jiebo Luo:
Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment. CoRR abs/2108.07948 (2021) - 2020
- [j1]Heliang Zheng, Jianlong Fu
Learning Rich Part Hierarchies With Progressive Attention Networks for Fine-Grained Image Recognition. IEEE Trans. Image Process. 29: 476-488 (2020) - [c5]Heliang Zheng, Jianlong Fu, Yanhong Zeng, Jiebo Luo, Zheng-Jun Zha:
Learning Semantic-aware Normalization for Generative Adversarial Networks. NeurIPS 2020
2010 – 2019
- 2019
- [c4]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: 5012-5021 - [c3]Heliang Zheng, Jianlong Fu, Zheng-Jun Zha, Jiebo Luo:
Learning Deep Bilinear Transformation for Fine-grained Image Representation. NeurIPS 2019: 4279-4288 - [i2]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 abs/1903.06150 (2019) - [i1]Heliang Zheng, Jianlong Fu, Zheng-Jun Zha, Jiebo Luo:
Learning Deep Bilinear Transformation for Fine-grained Image Representation. CoRR abs/1911.03621 (2019) - 2017
- [c2]Jianlong Fu, Heliang Zheng, Tao Mei:
Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition. CVPR 2017: 4476-4484 - [c1]Heliang Zheng, Jianlong Fu, Tao Mei, Jiebo Luo
Learning Multi-attention Convolutional Neural Network for Fine-Grained Image Recognition. ICCV 2017: 5219-5227
Coauthor Index
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last updated on 2024-11-15 19:30 CET by the dblp team
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