Yani Ioannou

发表

Training Convolutional Neural Networks with Low-rank Filters for Efficient Image Classification

Roberto Cipolla, Antonio Criminisi, Jamie Shotton, 2016 .

Training CNNs with Low-Rank Filters for Efficient Image Classification: Trained Models

Yani Ioannou, 2016, ICLR 2016.

Training CNNs with Low-Rank Filters for Efficient Image Classification pdf

Roberto Cipolla, Antonio Criminisi, Jamie Shotton, 2015, ICLR.

Decision Forests, Convolutional Networks and the Models in-Between pdf

Peter Kontschieder, Antonio Criminisi, Jamie Shotton, 2016, ArXiv.

Segmentation of Brain Tumor Tissues with Convolutional Neural Networks

Antonio Criminisi, Matthew Brown, Darko Zikic, 2014 .

Training CNNs with Low-Rank Filters for Efficient Image Classification

Yani Ioannou, J. Shotton, A. Criminisi, 2015, International Conference on Learning Representations.

Structural priors in deep neural networks

Yani Ioannou, Yani Andrew Ioannou, 2018 .

Refining Architectures of Deep Convolutional Neural Networks

Roberto Cipolla, Antonio Criminisi, Sukrit Shankar, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Deep Roots: Improving CNN Efficiency by Learning a Basis for Filter Dependencies

Roberto Cipolla, Antonio Criminisi, Yani Ioannou, 2017 .

Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups

Roberto Cipolla, Antonio Criminisi, Duncan P. Robertson, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Measuring Neural Net Robustness with Constraints

Antonio Criminisi, Leonidas Lampropoulos, Dimitrios Vytiniotis, 2016, NIPS.

Local PotentialWell Space Embedding

Michael A. Greenspan, Limin Shang, Yani Ioannou, 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

Difference of Normals as a Multi-scale Operator in Unorganized Point Clouds

Babak Taati, Michael A. Greenspan, Yani Ioannou, 2012, 2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission.

Rapid classification of TESS planet candidates with convolutional neural networks

Daniel Angerhausen, Jon M. Jenkins, Michele Sasdelli, 2019, Astronomy & Astrophysics.