Kaicheng Yu
kaicheng.yu@epfl.ch +41 21 693 12 68
EPFL IC IINFCOM CVLAB
BC 368 (Bâtiment BC)
Station 14
CH-1015 Lausanne
Fields of expertise
computer vision, machine learning, neural architecture search, second-order pooling, fine-grained classification, image classification, semantic segmentation
Infoscience publications
publications
2020
K. Yu; C. Suito; M. Jaggi; C.-C. Musat; M. Salzmann : Evaluating the search phase of neural architecture search. 2020. ICRL 2020 Eighth International Conference on Learning Representations, Millennium Hall, Addis Ababa, ETHIOPIA, April 26-30, 2020.
2019
W. Wang; K. Yu; J. Hugonot; P. Fua; M. Salzmann : Recurrent U-Net for Resource-Constrained Segmentation. 2019-10-27. International Conference on Computer Vision (ICCV 2019), Seoul, Korea, Oct 27 - Nov 3, 2019.
Y. Benyahia; K. Yu; K. B. Smires; M. Jaggi; A. C. Davison et al. : Overcoming Multi-model Forgetting. 2019. ICML 2019 - 36th International Conference on Machine Learning, Long Beach, California, USA, June 09-15, 2019. p. 594-603.
2018
K. Yu; M. Salzmann : Statistically-Motivated Second-order Pooling. 2018. European Conference on Computer Vision (ECCV), Munich, Germany, September 8-14, 2018.