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3D Scene Compression through Entropy Penalized Neural Representation Functions


Apr 26, 2021
Thomas Bird, Johannes Ballé, Saurabh Singh, Philip A. Chou

* accepted (in an abridged format) as a contribution to the Learning-based Image Coding special session of the Picture Coding Symposium 2021 

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A Review on Cyber Crimes on the Internet of Things


Sep 12, 2020
Mohan Krishna Kagita, Navod Thilakarathne, Thippa Reddy Gadekallu, Praveen Kumar Reddy Maddikunta, Saurabh Singh


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End-to-end Learning of Compressible Features


Jul 23, 2020
Saurabh Singh, Sami Abu-El-Haija, Nick Johnston, Johannes Ballé, Abhinav Shrivastava, George Toderici

* Accepted at ICIP 2020 

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Channel-wise Autoregressive Entropy Models for Learned Image Compression


Jul 17, 2020
David Minnen, Saurabh Singh

* Published at the IEEE International Conference on Image Processing (ICIP) 2020 

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Deep Implicit Volume Compression


May 18, 2020
Danhang Tang, Saurabh Singh, Philip A. Chou, Christian Haene, Mingsong Dou, Sean Fanello, Jonathan Taylor, Philip Davidson, Onur G. Guleryuz, Yinda Zhang, Shahram Izadi, Andrea Tagliasacchi, Sofien Bouaziz, Cem Keskin

* Danhang Tang and Saurabh Singh have equal contribution 

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PatchVAE: Learning Local Latent Codes for Recognition


Apr 07, 2020
Kamal Gupta, Saurabh Singh, Abhinav Shrivastava

* To appear at CVPR 2020 

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Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks


Nov 21, 2019
Saurabh Singh, Shankar Krishnan


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Model Compression by Entropy Penalized Reparameterization


Jun 15, 2019
Deniz Oktay, Johannes Ballé, Saurabh Singh, Abhinav Shrivastava


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EvalNorm: Estimating Batch Normalization Statistics for Evaluation


Apr 12, 2019
Saurabh Singh, Abhinav Shrivastava


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Image-Dependent Local Entropy Models for Learned Image Compression


May 31, 2018
David Minnen, George Toderici, Saurabh Singh, Sung Jin Hwang, Michele Covell

* International Conference on Image Processing 2018 

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Spatially adaptive image compression using a tiled deep network


Feb 07, 2018
David Minnen, George Toderici, Michele Covell, Troy Chinen, Nick Johnston, Joel Shor, Sung Jin Hwang, Damien Vincent, Saurabh Singh

* International Conference on Image Processing 2017 

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Aligned Image-Word Representations Improve Inductive Transfer Across Vision-Language Tasks


Oct 16, 2017
Tanmay Gupta, Kevin Shih, Saurabh Singh, Derek Hoiem

* Accepted in ICCV 2017. The arxiv version has an extra analysis on correlation with human attention 

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Revisiting Unreasonable Effectiveness of Data in Deep Learning Era


Aug 04, 2017
Chen Sun, Abhinav Shrivastava, Saurabh Singh, Abhinav Gupta

* ICCV 2017 camera ready 

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No Fuss Distance Metric Learning using Proxies


Aug 01, 2017
Yair Movshovitz-Attias, Alexander Toshev, Thomas K. Leung, Sergey Ioffe, Saurabh Singh

* To be presented in ICCV 2017 

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All that is English may be Hindi: Enhancing language identification through automatic ranking of likeliness of word borrowing in social media


Jul 29, 2017
Jasabanta Patro, Bidisha Samanta, Saurabh Singh, Abhipsa Basu, Prithwish Mukherjee, Monojit Choudhury, Animesh Mukherjee

* 11 pages, accepted in the 2017 conference on Empirical Methods on Natural Language Processing(EMNLP 2017) arXiv admin note: substantial text overlap with arXiv:1703.05122 

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Target-Quality Image Compression with Recurrent, Convolutional Neural Networks


May 18, 2017
Michele Covell, Nick Johnston, David Minnen, Sung Jin Hwang, Joel Shor, Saurabh Singh, Damien Vincent, George Toderici


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Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks


Mar 29, 2017
Nick Johnston, Damien Vincent, David Minnen, Michele Covell, Saurabh Singh, Troy Chinen, Sung Jin Hwang, Joel Shor, George Toderici


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Is this word borrowed? An automatic approach to quantify the likeliness of borrowing in social media


Mar 15, 2017
Jasabanta Patro, Bidisha Samanta, Saurabh Singh, Prithwish Mukherjee, Monojit Choudhury, Animesh Mukherjee

* 11 pages, 3 Figures 

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SLAM-Safe Planner: Preventing Monocular SLAM Failure using Reinforcement Learning


Mar 03, 2017
Vignesh Prasad, Saurabh Singh, Nahas Pareekutty, Balaraman Ravindran, Madhava Krishna

* The supplementary video can be found at https://www.youtube.com/watch?v=ZxDdKPhDNfg 

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Swapout: Learning an ensemble of deep architectures


May 20, 2016
Saurabh Singh, Derek Hoiem, David Forsyth

* Submitted to NIPS 2016 

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Where To Look: Focus Regions for Visual Question Answering


Jan 10, 2016
Kevin J. Shih, Saurabh Singh, Derek Hoiem

* Submitted to CVPR2016 

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Part Localization using Multi-Proposal Consensus for Fine-Grained Categorization


Jul 22, 2015
Kevin J. Shih, Arun Mallya, Saurabh Singh, Derek Hoiem

* BMVC 2015 

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Unsupervised Discovery of Mid-Level Discriminative Patches


Aug 18, 2012
Saurabh Singh, Abhinav Gupta, Alexei A. Efros

* European Conference on Computer Vision, 2012 

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