Sparsity-guided Network Design for Frame Interpolation

Sparsity-guided Network Design for Frame Interpolation

9 September 2022

Tianyi Chen

Papers citing "Sparsity-guided Network Design for Frame Interpolation"

9 / 59 papers shown

Title
FlowNet: Learning Optical Flow with Convolutional Networks Philipp Fischer Alexey Dosovitskiy Eddy Ilg Philip Häusser C. Hazirbas Vladimir Golkov Patrick van der Smagt Daniel Cremers Thomas Brox 3DPC 308 4,174 0 26 Apr 2015
Compressing Neural Networks with the Hashing Trick Wenlin Chen James T. Wilson Stephen Tyree Kilian Q. Weinberger Yixin Chen 163 1,191 0 19 Apr 2015
Deep Convolutional Inverse Graphics Network Tejas D. Kulkarni William F. Whitney Pushmeet Kohli J. Tenenbaum DRL BDL 103 929 0 11 Mar 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 350 19,643 0 09 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014
Learning to Generate Chairs, Tables and Cars with Convolutional Networks Alexey Dosovitskiy Jost Tobias Springenberg Maxim Tatarchenko Thomas Brox GAN 170 676 0 21 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,348 0 04 Sep 2014
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 153 738 0 19 Mar 2014
UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild K. Soomro Amir Zamir M. Shah CLIP VGen 143 6,147 0 03 Dec 2012