Yao Lu
Title
Cited by
Cited by
Year
Oblivious Neural Network Predictions via MiniONN Transformations
J Liu, M Juuti, Y Lu, N Asokan
ACM Conference on Computer and Communications Security, 2017
3142017
Unsupervised Learning on Neural Network Outputs
Y Lu
International Joint Conference on Artificial Intelligence, 2016
50*2016
A Fast Projected Fixed-Point Algorithm for Large Graph Matching
Y Lu, K Huang, CL Liu
Pattern Recognition 60, 971-982, 2016
322016
Traveling Bumps and Their Collisions in a Two-Dimensional Neural Field
Y Lu, Y Sato, S Amari
Neural Computation 23 (5), 1248-1260, 2011
322011
Devon: Deformable Volume Network for Learning Optical Flow
Y Lu, J Valmadre, H Wang, J Kannala, M Harandi, PHS Torr
IEEE Winter Conference on Applications of Computer Vision, 2020
172020
Doubly Stochastic Neighbor Embedding on Spheres
Y Lu, J Corander, Z Yang
Pattern Recognition Letters, 2019
82019
An Algorithm for Maximum Common Subgraph of Planar Triangulation Graphs
Y Lu, H Bunke, CL Liu
International Workshop on Graph-Based Representations in Pattern Recognition …, 2013
32013
Learning to Estimate Hidden Motions with Global Motion Aggregation
S Jiang, D Campbell, Y Lu, H Li, R Hartley
arXiv preprint arXiv:2104.02409, 2021
12021
Bidirectional Self-Normalizing Neural Networks
Y Lu, S Gould, T Ajanthan
arXiv preprint arXiv:2006.12169, 2020
12020
Learning Image Relations with Contrast Association Networks
Y Lu, Z Yang, J Kannala, S Kaski
International Joint Conference on Neural Networks, 2019
12019
Block Mean Approximation for Efficient Second Order Optimization
Y Lu, M Harandi, R Hartley, R Pascanu
International Conference on Machine Learning Workshop, 2018
12018
Learning Optical Flow from a Few Matches
S Jiang, Y Lu, H Li, R Hartley
arXiv preprint arXiv:2104.02166, 2021
2021
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Articles 1–12