Wasserstein divergence for gans J Wu, Z Huang, J Thoma, D Acharya, L Van Gool Proceedings of the European Conference on Computer Vision (ECCV), 653-668, 2018 | 210 | 2018 |
Sliced wasserstein generative models J Wu, Z Huang, D Acharya, W Li, J Thoma, DP Paudel, LV Gool Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 134 | 2019 |
Demosaicing based on directional difference regression and efficient regression priors J Wu, R Timofte, L Van Gool IEEE transactions on image processing 25 (8), 3862-3874, 2016 | 50 | 2016 |
Automated causal inference in application to randomized controlled clinical trials JQ Wu, N Horeweg, M de Bruyn, RA Nout, IM Jürgenliemk-Schulz, ... Nature Machine Intelligence 4 (5), 436-444, 2022 | 19 | 2022 |
Efficient regression priors for post-processing demosaiced images J Wu, R Timofte, L Van Gool 2015 IEEE International Conference on Image Processing (ICIP), 3495-3499, 2015 | 12 | 2015 |
Learned collaborative representations for image classification J Wu, R Timofte, L Van Gool 2015 IEEE Winter Conference on Applications of Computer Vision, 456-463, 2015 | 12 | 2015 |
Sorted eigenvalue comparison : A simple alternative to J Wu, V Koelzer | 8 | 2022 |
Towards IID representation learning and its application on biomedical data J Wu, I Zlobec, M Lafarge, Y He, VH Koelzer Medical Imaging with Deep Learning, PMLR, 2022 | 4 | 2022 |
Prognostic impact and causality of age on oncological outcomes in women with endometrial cancer: a multimethod analysis of the randomised PORTEC-1,-2 and-3 trials FC Wakkerman, J Wu, H Putter, IM Jurgenliemk-Schulz, JJ Jobsen, ... medRxiv, 2023.10. 31.23297837, 2023 | 1 | 2023 |
SST-editing: in silico spatial transcriptomic editing at single-cell resolution J Wu, VH Koelzer Bioinformatics, btae077, 2024 | | 2024 |
GILEA: GAN Inversion-enabled latent eigenvalue analysis for phenome profiling and editing J Wu, VH Koelzer | | 2023 |
IST-editing: Infinite spatial transcriptomic editing in a generated gigapixel mouse pup J Wu, I Berg, VH Koelzer bioRxiv, 2023.12. 23.573175, 2023 | | 2023 |
Improving Wasserstein Generative Models for Image Synthesis and Enhancement J Wu ETH Zurich, 2020 | | 2020 |