Следене
Heliang Zheng
Heliang Zheng
Няма данни за членство
Потвърден имейл адрес: mail.ustc.edu.cn
Заглавие
Позовавания
Позовавания
Година
Look closer to see better: Recurrent attention convolutional neural network for fine-grained image recognition
J Fu, H Zheng, T Mei
Proceedings of the IEEE conference on computer vision and pattern …, 2017
14902017
Learning multi-attention convolutional neural network for fine-grained image recognition
H Zheng, J Fu, T Mei, J Luo
Proceedings of the IEEE international conference on computer vision, 5209-5217, 2017
10502017
Looking for the devil in the details: Learning trilinear attention sampling network for fine-grained image recognition
H Zheng, J Fu, ZJ Zha, J Luo
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
4732019
Learning deep bilinear transformation for fine-grained image representation
H Zheng, J Fu, ZJ Zha, J Luo
Advances in Neural Information Processing Systems 32, 2019
1832019
Learning rich part hierarchies with progressive attention networks for fine-grained image recognition
H Zheng, J Fu, ZJ Zha, J Luo, T Mei
IEEE Transactions on Image Processing 29, 476-488, 2019
1132019
Semmae: Semantic-guided masking for learning masked autoencoders
G Li, H Zheng, D Liu, C Wang, B Su, C Zheng
NeurIPS 2022, 2022
782022
Token contrast for weakly-supervised semantic segmentation
L Ru, H Zheng, Y Zhan, B Du
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
722023
Learning conditional knowledge distillation for degraded-reference image quality assessment
H Zheng, H Yang, J Fu, ZJ Zha, J Luo
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
382021
3ddesigner: Towards photorealistic 3d object generation and editing with text-guided diffusion models
G Li, H Zheng, C Wang, C Li, C Zheng, D Tao
arXiv preprint arXiv:2211.14108, 2022
342022
FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs
Z Li, C Wang, H Zheng, J Zhang, B Li
ECCV 2022, 2022
272022
Unified discrete diffusion for simultaneous vision-language generation
M Hu, C Zheng, H Zheng, TJ Cham, C Wang, Z Yang, D Tao, ...
arXiv preprint arXiv:2211.14842, 2022
172022
Learning semantic-aware normalization for generative adversarial networks
H Zheng, J Fu, Y Zeng, J Luo, ZJ Zha
Advances in Neural Information Processing Systems 33, 21853-21864, 2020
122020
Domain re-modulation for few-shot generative domain adaptation
Y Wu, Z Li, C Wang, H Zheng, S Zhao, B Li, D Tao
Advances in Neural Information Processing Systems 36, 2024
92024
Leveraging GAN Priors for Few-Shot Part Segmentation
M Han, H Zheng, C Wang, Y Luo, H Hu, B Du
ACM MM 2022, 2022
42022
Null-text guidance in diffusion models is secretly a cartoon-style creator
J Zhao, H Zheng, C Wang, L Lan, W Huang, W Yang
Proceedings of the 31st ACM International Conference on Multimedia, 5143-5152, 2023
32023
Magicfusion: Boosting text-to-image generation performance by fusing diffusion models
J Zhao, H Zheng, C Wang, L Lan, W Yang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
22023
PartSeg: Few-shot Part Segmentation via Part-aware Prompt Learning
M Han, H Zheng, C Wang, Y Luo, H Hu, J Zhang, Y Wen
arXiv preprint arXiv:2308.12757, 2023
12023
Reference-based GAN Evaluation by Adaptive Inversion
J Wang, H Zheng, T Yamasaki
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
2024
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System
C Xue, W Liu, S Xie, Z Wang, J Li, X Peng, L Ding, S Zhao, Q Cao, Y Yang, ...
arXiv preprint arXiv:2303.00501, 2023
2023
UniD3: unified discrete diffusion for simultaneous vision-language generation
M Hu, C Zheng, TJ Cham, PN Suganthan, Z Yang, H Zheng, C Wang, ...
2023
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