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DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension


Aug 31, 2021
Roman Shapovalov, David Novotny, Benjamin Graham, Patrick Labatut, Andrea Vedaldi

* Accepted for ICCV 2021 

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Pri3D: Can 3D Priors Help 2D Representation Learning?


Apr 22, 2021
Ji Hou, Saining Xie, Benjamin Graham, Angela Dai, Matthias Nießner


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Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts


Dec 16, 2020
Ji Hou, Benjamin Graham, Matthias Nießner, Saining Xie

* project page: https://sekunde.github.io/project_efficient/ 

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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 

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


Nov 02, 2020
Benjamin Biggs, Sébastien Ehrhadt, Hanbyul Joo, Benjamin Graham, Andrea Vedaldi, David Novotny

* NeurIPS 2020 Spotlight; 14 pages including supplementary 

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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


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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


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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 

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


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


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Equi-normalization of Neural Networks


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

* ICLR 2019 camera-ready 

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Unsupervised learning with sparse space-and-time autoencoders


Nov 26, 2018
Benjamin Graham


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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 

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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


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Submanifold Sparse Convolutional Networks


Jun 05, 2017
Benjamin Graham, Laurens van der Maaten

* 10 pages 

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Low-Precision Batch-Normalized Activations


Feb 27, 2017
Benjamin Graham

* 16 pages 

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Confusing Deep Convolution Networks by Relabelling


Dec 03, 2015
Leigh Robinson, Benjamin Graham

* Submitted to BMVC 2015 

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Fractional Max-Pooling


May 12, 2015
Benjamin Graham


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Spatially-sparse convolutional neural networks


Sep 22, 2014
Benjamin Graham

* 13 pages 

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Sparse arrays of signatures for online character recognition


Dec 01, 2013
Benjamin Graham

* 10 pages, 2 figures 

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