Follow
Jiezhang Cao
Jiezhang Cao
PhD Student, ETH Zürich
Verified email at ee.ethz.ch - Homepage
Title
Cited by
Cited by
Year
Swinir: Image restoration using swin transformer
J Liang, J Cao, G Sun, K Zhang, L Van Gool, R Timofte
arXiv preprint arXiv:2108.10257, 1833-1844, 2021
4372021
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
Y Guo, J Chen, J Wang, Q Chen, J Cao, Z Deng, Y Xu, M Tan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
2412020
Localvit: Bringing locality to vision transformers
Y Li, K Zhang, J Cao, R Timofte, L Van Gool
arXiv preprint arXiv:2104.05707, 2021
2012021
Video super-resolution transformer
J Cao, Y Li, K Zhang, L Van Gool
arXiv preprint arXiv:2106.06847, 2021
692021
Multi-marginal Wasserstein GAN
J Cao, L Mo, Y Zhang, K Jia, C Shen, M Tan
Neural Information Processing Systems (NeurIPS), 2019
642019
Generative Low-bitwidth Data Free Quantization
S Xu, H Li, B Zhuang, J Liu, J Cao, C Liang, M Tan
European Conference on Computer Vision (ECCV), 2020
532020
From whole slide imaging to microscopy: Deep microscopy adaptation network for histopathology cancer image classification
Y Zhang, H Chen, Y Wei, P Zhao, J Cao, X Fan, X Lou, H Liu, J Hou, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
502019
Online adaptive asymmetric active learning for budgeted imbalanced data
Y Zhang, P Zhao, J Cao, W Ma, J Huang, Q Wu, M Tan
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
362018
Adversarial Learning with Local Coordinate Coding
J Cao, Y Guo, Q Wu, C Shen, J Huang, M Tan
International Conference on Machine Learning (ICML) 80, 707-715, 2018
362018
Vrt: A video restoration transformer
J Liang, J Cao, Y Fan, K Zhang, R Ranjan, Y Li, R Timofte, L Van Gool
arXiv preprint arXiv:2201.12288, 2022
352022
Oversampling for Imbalanced Data via Optimal Transport
Y Yan, M Tan, Y Xu, J Cao, M Ng, H Min, Q Wu
AAAI Conference on Artificial Intelligence 33, 5605-5612, 2019
222019
Online Adaptive Asymmetric Active Learning with Limited Budgets
Y Zhang, P Zhao, S Niu, Q Wu, J Cao, J Huang, M Tan
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019
162019
Dual reconstruction nets for image super-resolution with gradient sensitive loss
Y Guo, Q Chen, J Chen, J Huang, Y Xu, J Cao, P Zhao, M Tan
arXiv preprint arXiv:1809.07099, 2018
152018
Learning sparse PCA with stabilized ADMM method on stiefel manifold
M Tan, Z Hu, Y Yan, J Cao, D Gong, Q Wu
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019
102019
Practical blind denoising via swin-conv-unet and data synthesis
K Zhang, Y Li, J Liang, J Cao, Y Zhang, H Tang, R Timofte, L Van Gool
arXiv preprint arXiv:2203.13278, 2022
72022
Internal wasserstein distance for adversarial attack and defense
J Li, J Cao, S Zhang, Y Xu, J Chen, M Tan
arXiv preprint arXiv:2103.07598, 2021
62021
Improving Generative Adversarial Networks with Local Coordinate Coding
J Cao, Y Guo, Q Wu, C Shen, J Huang, M Tan
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 1-1, 2020
52020
Towards lightweight super-resolution with dual regression learning
Y Guo, J Wang, Q Chen, J Cao, Z Deng, Y Xu, J Chen, M Tan
arXiv preprint arXiv:2207.07929, 2022
42022
Recurrent Video Restoration Transformer with Guided Deformable Attention
J Liang, Y Fan, X Xiang, R Ranjan, E Ilg, S Green, J Cao, K Zhang, ...
arXiv preprint arXiv:2206.02146, 2022
42022
On the Flatness of Loss Surface for Two-layered ReLU Networks
J Cao, Q Wu, Y Yan, L Wang, M Tan
Asian Conference on Machine Learning (ACML), 545-560, 2017
32017
The system can't perform the operation now. Try again later.
Articles 1–20