Yifan Liu
Yifan Liu
Verified email at adelaide.edu.au
Title
Cited by
Cited by
Year
Structured Knowledge Distillation for Semantic Segmentation
Y Liu, K Chen, C Liu, Z Qin, Z Luo, J Wang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
1842019
Enforcing geometric constraints of virtual normal for depth prediction
W Yin, Y Liu, C Shen, Y Yan
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1562019
Auto-painter: Cartoon image generation from sketch by using conditional Wasserstein generative adversarial networks
Y Liu, Z Qin, T Wan, Z Luo
Neurocomputing 311, 78-87, 2018
127*2018
Emotion classification with data augmentation using generative adversarial networks
X Zhu, Y Liu, J Li, T Wan, Z Qin
Pacific-Asia conference on knowledge discovery and data mining, 349-360, 2018
1062018
Structured knowledge distillation for dense prediction
Y Liu, C Shu, J Wang, C Shen
IEEE transactions on pattern analysis and machine intelligence, 2020
382020
Pixel level data augmentation for semantic image segmentation using generative adversarial networks
S Liu, J Zhang, Y Chen, Y Liu, Z Qin, T Wan
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
322019
Stock volatility prediction using recurrent neural networks with sentiment analysis
Y Liu, Z Qin, P Li, T Wan
International Conference on Industrial, Engineering and Other Applications …, 2017
232017
Efficient semantic video segmentation with per-frame inference
Y Liu, C Shen, C Yu, J Wang
European Conference on Computer Vision, 352-368, 2020
202020
Representative graph neural network
C Yu, Y Liu, C Gao, C Shen, N Sang
European Conference on Computer Vision, 379-396, 2020
162020
MobileFAN: Transferring deep hidden representation for face alignment
Y Zhao, Y Liu, C Shen, Y Gao, S Xiong
Pattern Recognition 100, 107114, 2020
162020
Diversedepth: Affine-invariant depth prediction using diverse data
W Yin, X Wang, C Shen, Y Liu, Z Tian, S Xu, C Sun, D Renyin
arXiv preprint arXiv:2002.00569, 2020
102020
Instance-aware embedding for point cloud instance segmentation
T He, Y Liu, C Shen, X Wang, C Sun
European Conference on Computer Vision, 255-270, 2020
52020
Training compact neural networks via auxiliary overparameterization
Y Liu, B Zhuang, C Shen, H Chen, W Yin
arXiv preprint arXiv:1909.02214 1, 2019
42019
Virtual Normal: Enforcing Geometric Constraints for Accurate and Robust Depth Prediction
W Yin, Y Liu, C Shen
arXiv preprint arXiv:2103.04216, 2021
12021
Channel-wise Distillation for Dense Prediction
C Shu, Y Liu, J Gao, Z Yan, C Shen
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021
1*2021
A Generative Adversarial Framework For Optimizing Image Matting And Harmonization Simultaneously
X Ren, Y Li, C Song
2021 IEEE International Conference on Image Processing (ICIP), 1354-1358, 2021
2021
Dynamic Neural Representational Decoders for High-Resolution Semantic Segmentation
B Zhang, Y Liu, Z Tian, C Shen
Thirty-fifth Annual Conference on Neural Information Processing Systems, 2021
2021
A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation
J Yuan, Y Liu, C Shen, Z Wang, H Li
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021
2021
Generic Perceptual Loss for Modeling Structured Output Dependencies
Y Liu, H Chen, Y Chen, W Yin, C Shen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
2021
Logical Parsing from Natural Language Based on a Neural Translation Model
L Li, Y Liu, Z Qin, P Li, T Wan
International Conference of the Pacific Association for Computational …, 2017
2017
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Articles 1–20