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Yifan Liu
Yifan Liu
ETH Zurich, Adelaide
Verified email at vision.ee.ethz.ch - Homepage
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/CVF Conference on Computer Vision and Pattern …, 2019
6032019
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
4752019
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
254*2018
Emotion classification with data augmentation using generative adversarial networks
X Zhu, Y Liu, J Li, T Wan, Z Qin
Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018
2242018
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
2092021
Structured knowledge distillation for dense prediction
Y Liu, C Shu, J Wang, C Shen
IEEE transactions on pattern analysis and machine intelligence, 2020
1892020
Efficient semantic video segmentation with per-frame inference
Y Liu, C Shen, C Yu, J Wang
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
1382020
Segment anything in high quality
L Ke, M Ye, M Danelljan, YW Tai, CK Tang, F Yu
Advances in Neural Information Processing Systems 36, 2024
1212024
Zegclip: Towards adapting clip for zero-shot semantic segmentation
Z Zhou, Y Lei, B Zhang, L Liu, Y Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
972023
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
962021
SegViT: Semantic Segmentation with Plain Vision Transformers
B Zhang, Z Tian, Q Tang, X Chu, X Wei, C Shen, Y Liu
Thirty-sixth Conference on Neural Information Processing Systems, 2022
792022
Virtual Normal: Enforcing Geometric Constraints for Accurate and Robust Depth Prediction
W Yin, Y Liu, C Shen
TPAMI, 2021
692021
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
542019
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
512020
Representative graph neural network
C Yu, Y Liu, C Gao, C Shen, N Sang
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
482020
Stock volatility prediction using recurrent neural networks with sentiment analysis
Y Liu, Z Qin, P Li, T Wan
Advances in Artificial Intelligence: From Theory to Practice: 30th …, 2017
422017
MobileFAN: Transferring deep hidden representation for face alignment
Y Zhao, Y Liu, C Shen, Y Gao, S Xiong
Pattern Recognition 100, 107114, 2020
402020
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
342021
Towards accurate reconstruction of 3d scene shape from a single monocular image
W Yin, J Zhang, O Wang, S Niklaus, S Chen, Y Liu, C Shen
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (5), 6480-6494, 2022
272022
Instance-aware embedding for point cloud instance segmentation
T He, Y Liu, C Shen, X Wang, C Sun
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
222020
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