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Huan Liu
Huan Liu
Ph.D., Huawei Noah's Ark Lab, Canada
Verified email at mcmaster.ca
Title
Cited by
Cited by
Year
MetaFSCIL: a meta-learning approach for few-shot class incremental learning
Z Chi, L Gu, H Liu, Y Wang, Y Yu, J Tang
Conference on Computer Vision and Pattern Recognition (CVPR), 14166-14175, 2022
1372022
NTIRE 2022 challenge on efficient super-resolution: Methods and results
Y Li, K Zhang, R Timofte, L Van Gool, F Kong, M Li, S Liu, Z Du, D Liu, ...
Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2022
1352022
Dw-gan: A discrete wavelet transform gan for nonhomogeneous dehazing
M Fu, H Liu, Y Yu, J Chen, K Wang
Conference on Computer Vision and Pattern Recognition Workshop (Winner Award), 2021
1232021
Contrastive Semi-supervised Learning for Underwater Image Restoration via Reliable Bank
S Huang, K Wang, H Liu, J Chen, Y Li
Conference on Computer Vision and Pattern Recognition (CVPR), 18145-18155, 2023
1172023
A two-branch neural network for non-homogeneous dehazing via ensemble learning
Y Yu, H Liu, M Fu, J Chen, X Wang, K Wang
Conference on Computer Vision and Pattern Recognition Workshop (Runner-up …, 2021
962021
Few-shot class-incremental learning via entropy-regularized data-free replay
H Liu, L Gu, Z Chi, Y Wang, Y Yu, J Chen, J Tang
European Conference on Computer Vision (ECCV), 146-162, 2022
862022
NTIRE 2021 nonhomogeneous dehazing challenge report
CO Ancuti, C Ancuti, FA Vasluianu, R Timofte
Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 627-646, 2021
832021
Towards multi-domain single image dehazing via test-time training
H Liu, Z Wu, L Li, S Salehkalaibar, J Chen, K Wang
Conference on Computer Vision and Pattern Recognition (CVPR), 5831-5840, 2022
542022
NTIRE 2024 dense and non-homogeneous dehazing challenge report
CO Ancuti, C Ancuti, FA Vasluianu, R Timofte, Y Liu, X Wang, Y Zhu, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
192024
A Data-Centric Solution to NonHomogeneous Dehazing via Vision Transformer
Y Liu, H Liu, L Li, Z Wu, J Chen
Conference on Computer Vision and Pattern Recognition Workshop (Winner Award), 2023
162023
FMSNet: Underwater Image Restoration by Learning from a Synthesized Dataset
X Yin, X Liu, H Liu
Artificial Neural Networks and Machine Learning, 421-432, 2021
162021
SwinFSR: Stereo Image Super-Resolution using SwinIR and Frequency Domain Knowledge
K Chen, L Li, H Liu, Y Li, C Tang, J Chen
Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2023
152023
NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report
CO Ancuti, C Ancuti, FA Vasluianu, R Timofte, H Zhou, W Dong, Y Liu, ...
Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 1808 …, 2023
152023
Meta-Auxiliary Learning for Future Depth Prediction in Videos
H Liu, Z Chi, Y Yu, Y Wang, J Chen, J Tang
Winter Conference on Applications of Computer Vision (WACV), 5756-5765, 2023
142023
Fast Human Pose Estimation in Compressed Videos
H Liu, W Liu, Z Chi, Y Wang, Y Yu, J Chen, J Tang
IEEE Transactions on Multimedia 25, 1390-1400, 2022
132022
Lossy compression with distribution shift as entropy constrained optimal transport
H Liu, G Zhang, J Chen, AJ Khisti
International Conference on Learning Representations (ICLR), 2022
112022
GoodDrag: Towards Good Practices for Drag Editing with Diffusion Models
Z Zhang, H Liu, J Chen, X Xu
arXiv preprint arXiv:2404.07206, 2024
82024
FDCT: Fast Depth Completion for Transparent Objects
T Li, Z Chen, H Liu, C Wang
IEEE Robotics and Automation Letters (RA-L), 2023
72023
Pseudo supervised monocular depth estimation with teacher-student network
H Liu, J Yuan, C Wang, J Chen
Technical Report, 2021
62021
Adapting to Distribution Shift by Visual Domain Prompt Generation
Z Chi, L Gu, T Zhong, H Liu, Y YU, KN Plataniotis, Y Wang
The Twelfth International Conference on Learning Representations (ICLR), 2024
52024
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Articles 1–20