Controllable Top-down Feature Transformer

6 December 2017

Papers citing "Controllable Top-down Feature Transformer"

21 / 21 papers shown

Title
Universal Style Transfer via Feature Transforms Yijun Li Chen Fang Jimei Yang Zhaowen Wang Xin Lu Ming-Hsuan Yang DiffM 103 989 0 23 May 2017
Inverse Compositional Spatial Transformer Networks Chen-Hsuan Lin Simon Lucey 66 162 0 12 Dec 2016
Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning Quanshi Zhang Ruiming Cao Ying Nian Wu Song-Chun Zhu 50 70 0 14 Nov 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 741 37,846 0 20 May 2016
Single Image 3D Interpreter Network Jiajun Wu Tianfan Xue Joseph J Lim Yuandong Tian J. Tenenbaum Antonio Torralba William T. Freeman 3DV 57 285 0 29 Apr 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,878 0 10 Dec 2015
What Happened to My Dog in That Network: Unraveling Top-down Generators in Convolutional Neural Networks Patrick W. Gallagher Shuai Tang Zhuowen Tu 34 5 0 23 Nov 2015
Deep Manifold Traversal: Changing Labels with Convolutional Features Jacob R. Gardner P. Upchurch Matt J. Kusner Yixuan Li Kilian Q. Weinberger Kavita Bala John E. Hopcroft 62 67 0 19 Nov 2015
A Neural Algorithm of Artistic Style Leon A. Gatys Alexander S. Ecker Matthias Bethge GAN 85 2,858 0 26 Aug 2015
Spatial Transformer Networks Max Jaderberg Karen Simonyan Andrew Zisserman Koray Kavukcuoglu 300 7,384 0 05 Jun 2015
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 4,177 0 26 Apr 2015
Holistically-Nested Edge Detection Saining Xie Zhuowen Tu 135 3,493 0 24 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
DRAW: A Recurrent Neural Network For Image Generation Karol Gregor Ivo Danihelka Alex Graves Danilo Jimenez Rezende Daan Wierstra GAN DRL 163 1,962 0 16 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014
Understanding Deep Image Representations by Inverting Them Aravindh Mahendran Andrea Vedaldi FAtt 121 1,962 0 26 Nov 2014
Learning to Generate Chairs, Tables and Cars with Convolutional Networks Alexey Dosovitskiy Jost Tobias Springenberg Maxim Tatarchenko Thomas Brox GAN 172 676 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
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,525 0 01 Sep 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 413 43,667 0 01 May 2014
Rich feature hierarchies for accurate object detection and semantic segmentation Ross B. Girshick Jeff Donahue Trevor Darrell Jitendra Malik ObjD 289 26,186 0 11 Nov 2013