Kaicheng Yu
Kaicheng Yu
CVLab, EPFL
Verified email at epfl.ch
Title
Cited by
Cited by
Year
Evaluating the search phase of neural architecture search
C Sciuto, K Yu, M Jaggi, C Musat, M Salzmann
arXiv preprint arXiv:1902.08142 2 (3), 2019
1422019
Second-order convolutional neural networks
K Yu, M Salzmann
arXiv preprint arXiv:1703.06817, 2017
332017
Recurrent U-Net for resource-constrained segmentation
W Wang, K Yu, J Hugonot, P Fua, M Salzmann
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
302019
Statistically-motivated second-order pooling
K Yu, M Salzmann
Proceedings of the European Conference on Computer Vision (ECCV), 600-616, 2018
252018
Overcoming multi-model forgetting
Y Benyahia, K Yu, KB Smires, M Jaggi, AC Davison, M Salzmann, ...
International Conference on Machine Learning, 594-603, 2019
102019
How to train your super-net: An analysis of training heuristics in weight-sharing nas
K Yu, R Ranftl, M Salzmann
arXiv preprint arXiv:2003.04276, 2020
82020
Generalized Class Incremental Learning
F Mi, L Kong, T Lin, K Yu, B Faltings
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
32020
Beyond One Glance: Gated Recurrent Architecture for Hand Segmentation
W Wang, K Yu, J Hugonot, P Fua, M Salzmann
arXiv preprint arXiv:1811.10914, 2018
12018
Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search
K Yu, R Ranftl, M Salzmann
arXiv preprint arXiv:2104.05309, 2021
2021
Recurrent U-Net for Resource Constrained Segmentation Download PDF
W Wang, K Yu, J Hugonot, P Fua, M Salzmann
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Articles 1–10