v1v2 (latest)

Differentiable Visual Computing

27 April 2019

Papers citing "Differentiable Visual Computing"

44 / 44 papers shown

Title
Shape, Illumination, and Reflectance from Shading Jonathan T. Barron Jitendra Malik 3DV 40 727 0 07 Oct 2020
On the Convergence of Adam and Beyond Sashank J. Reddi Satyen Kale Surinder Kumar 96 2,499 0 19 Apr 2019
Elimination of All Bad Local Minima in Deep Learning Kenji Kawaguchi L. Kaelbling 78 44 0 02 Jan 2019
A Geometric Theory of Higher-Order Automatic Differentiation M. Betancourt AI4CE 30 25 0 30 Dec 2018
Sampling Can Be Faster Than Optimization Yian Ma Yuansi Chen Chi Jin Nicolas Flammarion Michael I. Jordan 70 184 0 20 Nov 2018
Stochastic Gradient Descent with Biased but Consistent Gradient Estimators Jie Chen Ronny Luss 65 45 0 31 Jul 2018
Efficient Differentiable Programming in a Functional Array-Processing Language Amir Shaikhha Andrew Fitzgibbon Dimitrios Vytiniotis S. Jones Christoph E. Koch 43 65 0 06 Jun 2018
Tiramisu: A Polyhedral Compiler for Expressing Fast and Portable Code Riyadh Baghdadi Jessica Ray Malek Ben Romdhane Emanuele Del Sozzo Abdurrahman Akkas Yunming Zhang Patricia Suriana Shoaib Kamil Saman P. Amarasinghe 47 259 0 27 Apr 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 235 3,473 0 09 Mar 2018
Neural 3D Mesh Renderer Hiroharu Kato Yoshitaka Ushiku Tatsuya Harada 3DV 73 1,045 0 20 Nov 2017
Adversarial Attacks Beyond the Image Space Fangyin Wei Chenxi Liu Yu-Siang Wang Weichao Qiu Lingxi Xie Yu-Wing Tai Chi-Keung Tang Alan Yuille AAML 83 147 0 20 Nov 2017
DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks Orest Kupyn Volodymyr Budzan Mykola Mykhailych Dmytro Mishkin Jirí Matas 3DV 88 1,458 0 19 Nov 2017
Tangent: Automatic Differentiation Using Source Code Transformation in Python B. V. Merrienboer Alexander B. Wiltschko D. Moldovan 67 29 0 07 Nov 2017
Material Editing Using a Physically Based Rendering Network Guilin Liu Duygu Ceylan Ersin Yumer Jimei Yang Jyh-Ming Lien DiffM 47 94 0 01 Aug 2017
Deep Bilateral Learning for Real-Time Image Enhancement Michael Gharbi Jiawen Chen Jonathan T. Barron Samuel W. Hasinoff F. Durand 3DH 63 735 0 10 Jul 2017
Reversible Jump Metropolis Light Transport using Inverse Mappings Benedikt Bitterli Wenzel Jakob Jan Novák Wojciech Jarosz 39 57 0 22 Apr 2017
Stochastic Gradient Descent as Approximate Bayesian Inference Stephan Mandt Matthew D. Hoffman David M. Blei BDL 55 597 0 13 Apr 2017
Deep Photo Style Transfer Fujun Luan Sylvain Paris Eli Shechtman Kavita Bala GAN 90 686 0 22 Mar 2017
Charted Metropolis Light Transport J. Pantaleoni OT 38 36 0 16 Dec 2016
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks Eddy Ilg N. Mayer Tonmoy Saikia Margret Keuper Alexey Dosovitskiy Thomas Brox 3DPC 255 3,081 0 06 Dec 2016
Learning Detailed Face Reconstruction from a Single Image Elad Richardson Matan Sela Roy Or-El Ron Kimmel 3DV 3DH CVBM 66 339 0 15 Nov 2016
Inverse Diffusion Curves using Shape Optimization Shuang Zhao F. Durand Changxi Zheng DiffM 30 31 0 10 Oct 2016
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising Peng Sun W. Zuo Yunjin Chen Deyu Meng Lei Zhang SupR 142 6,995 0 13 Aug 2016
Colorful Image Colorization Richard Y. Zhang Phillip Isola Alexei A. Efros 133 3,530 0 28 Mar 2016
A Versatile Scene Model with Differentiable Visibility Applied to Generative Pose Estimation Helge Rhodin Nadia Robertini Christian Richardt Hans-Peter Seidel Christian Theobalt 3DV 3DH 71 97 0 11 Feb 2016
Sub-Sampled Newton Methods II: Local Convergence Rates Farbod Roosta-Khorasani Michael W. Mahoney 63 84 0 18 Jan 2016
Sub-Sampled Newton Methods I: Globally Convergent Algorithms Farbod Roosta-Khorasani Michael W. Mahoney 67 90 0 18 Jan 2016
The Fast Bilateral Solver Jonathan T. Barron Ben Poole 220 372 0 10 Nov 2015
Train faster, generalize better: Stability of stochastic gradient descent Moritz Hardt Benjamin Recht Y. Singer 116 1,241 0 03 Sep 2015
Spatial Transformer Networks Max Jaderberg Karen Simonyan Andrew Zisserman Koray Kavukcuoglu 302 7,387 0 05 Jun 2015
Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposition Rong Ge Furong Huang Chi Jin Yang Yuan 140 1,058 0 06 Mar 2015
Gradient-based Hyperparameter Optimization through Reversible Learning D. Maclaurin David Duvenaud Ryan P. Adams DD 227 945 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,115 0 22 Dec 2014
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 277 19,066 0 20 Dec 2014
cuDNN: Efficient Primitives for Deep Learning Sharan Chetlur Cliff Woolley Philippe Vandermersch Jonathan M. Cohen J. Tran Bryan Catanzaro Evan Shelhamer 133 1,848 0 03 Oct 2014
Hamiltonian Monte Carlo Without Detailed Balance Jascha Narain Sohl-Dickstein M. Mudigonda M. DeWeese 54 66 0 18 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,386 0 04 Sep 2014
Caffe: Convolutional Architecture for Fast Feature Embedding Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross B. Girshick S. Guadarrama Trevor Darrell VLM BDL 3DV 274 14,711 0 20 Jun 2014
Stochastic Gradient Hamiltonian Monte Carlo Tianqi Chen E. Fox Carlos Guestrin BDL 109 910 0 17 Feb 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 275 14,927 1 21 Dec 2013
Minimizing Finite Sums with the Stochastic Average Gradient Mark Schmidt Nicolas Le Roux Francis R. Bach 321 1,249 0 10 Sep 2013
ADADELTA: An Adaptive Learning Rate Method Matthew D. Zeiler ODL 155 6,625 0 22 Dec 2012
Estimating the Hessian by Back-propagating Curvature James Martens Ilya Sutskever Kevin Swersky 86 80 0 27 Jun 2012
MCMC using Hamiltonian dynamics Radford M. Neal 292 3,279 0 09 Jun 2012