Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
RidgeSfM: Structure from Motion via Robust Pairwise Matching Under Depth Uncertainty

Nov 20, 2020
Benjamin Graham, David Novotny

* Presenting at 3DV 2020. Source code released at https://github.com/facebookresearch/RidgeSfM 

  Access Paper or Ask Questions

3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data

Nov 02, 2020
Benjamin Biggs, SĂ©bastien Ehrhadt, Hanbyul Joo, Benjamin Graham, Andrea Vedaldi, David Novotny

* NeurIPS 2020 Spotlight; 14 pages including supplementary 

  Access Paper or Ask Questions

Training with Quantization Noise for Extreme Model Compression

Apr 17, 2020
Angela Fan, Pierre Stock, Benjamin Graham, Edouard Grave, Remi Gribonval, Herve Jegou, Armand Joulin


  Access Paper or Ask Questions

Training with Quantization Noise for Extreme Fixed-Point Compression

Apr 15, 2020
Angela Fan, Pierre Stock, Benjamin Graham, Edouard Grave, Remi Gribonval, Herve Jegou, Armand Joulin


  Access Paper or Ask Questions

C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion

Oct 15, 2019
David Novotny, Nikhila Ravi, Benjamin Graham, Natalia Neverova, Andrea Vedaldi

* IEEE/CVF International Conference on Computer Vision 2019 
* Added a link to the source code into the abstract 

  Access Paper or Ask Questions

And the Bit Goes Down: Revisiting the Quantization of Neural Networks

Jul 29, 2019
Pierre Stock, Armand Joulin, Rémi Gribonval, Benjamin Graham, Hervé Jégou


  Access Paper or Ask Questions

Equi-normalization of Neural Networks

Feb 27, 2019
Pierre Stock, Benjamin Graham, Rémi Gribonval, Hervé Jégou

* ICLR 2019 camera-ready 

  Access Paper or Ask Questions

Unsupervised learning with sparse space-and-time autoencoders

Nov 26, 2018
Benjamin Graham


  Access Paper or Ask Questions

3D Semantic Segmentation with Submanifold Sparse Convolutional Networks

Nov 28, 2017
Benjamin Graham, Martin Engelcke, Laurens van der Maaten

* arXiv admin note: text overlap with arXiv:1706.01307 

  Access Paper or Ask Questions

Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55

Oct 27, 2017
Li Yi, Lin Shao, Manolis Savva, Haibin Huang, Yang Zhou, Qirui Wang, Benjamin Graham, Martin Engelcke, Roman Klokov, Victor Lempitsky, Yuan Gan, Pengyu Wang, Kun Liu, Fenggen Yu, Panpan Shui, Bingyang Hu, Yan Zhang, Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Minki Jeong, Jaehoon Choi, Changick Kim, Angom Geetchandra, Narasimha Murthy, Bhargava Ramu, Bharadwaj Manda, M Ramanathan, Gautam Kumar, P Preetham, Siddharth Srivastava, Swati Bhugra, Brejesh Lall, Christian Haene, Shubham Tulsiani, Jitendra Malik, Jared Lafer, Ramsey Jones, Siyuan Li, Jie Lu, Shi Jin, Jingyi Yu, Qixing Huang, Evangelos Kalogerakis, Silvio Savarese, Pat Hanrahan, Thomas Funkhouser, Hao Su, Leonidas Guibas


  Access Paper or Ask Questions

Submanifold Sparse Convolutional Networks

Jun 05, 2017
Benjamin Graham, Laurens van der Maaten

* 10 pages 

  Access Paper or Ask Questions

Low-Precision Batch-Normalized Activations

Feb 27, 2017
Benjamin Graham

* 16 pages 

  Access Paper or Ask Questions

Confusing Deep Convolution Networks by Relabelling

Dec 03, 2015
Leigh Robinson, Benjamin Graham

* Submitted to BMVC 2015 

  Access Paper or Ask Questions

Fractional Max-Pooling

May 12, 2015
Benjamin Graham


  Access Paper or Ask Questions

Spatially-sparse convolutional neural networks

Sep 22, 2014
Benjamin Graham

* 13 pages 

  Access Paper or Ask Questions

Sparse arrays of signatures for online character recognition

Dec 01, 2013
Benjamin Graham

* 10 pages, 2 figures 

  Access Paper or Ask Questions