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Ravi Garg

Intel Corporation

Feasibility Study on Intra-Grid Location Estimation Using Power ENF Signals


May 03, 2021
Ravi Garg, Adi Hajj-Ahmad, Min Wu

* 12 pages, 16 figures 

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DF-VO: What Should Be Learnt for Visual Odometry?


Mar 01, 2021
Huangying Zhan, Chamara Saroj Weerasekera, Jia-Wang Bian, Ravi Garg, Ian Reid

* extended version of ICRA-2020 paper (Visual Odometry Revisited: What Should Be Learnt?) 

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Improved Visual Localization via Graph Smoothing


Nov 07, 2019
Carlos Lassance, Yasir Latif, Ravi Garg, Vincent Gripon, Ian Reid


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Non-Parametric Priors For Generative Adversarial Networks


May 16, 2019
Rajhans Singh, Pavan Turaga, Suren Jayasuriya, Ravi Garg, Martin W. Braun

* International Conference on Machine Learning (2019) 

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Self-supervised Learning for Single View Depth and Surface Normal Estimation


Mar 01, 2019
Huangying Zhan, Chamara Saroj Weerasekera, Ravi Garg, Ian Reid

* 6 pages, 3 figures, ICRA 2019 

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Optimizable Object Reconstruction from a Single View


Nov 29, 2018
Kejie Li, Ravi Garg, Ming Cai, Ian Reid


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Just-in-Time Reconstruction: Inpainting Sparse Maps using Single View Depth Predictors as Priors


May 11, 2018
Chamara Saroj Weerasekera, Thanuja Dharmasiri, Ravi Garg, Tom Drummond, Ian Reid

* ICRA 2018 

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Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction


Apr 05, 2018
Huangying Zhan, Ravi Garg, Chamara Saroj Weerasekera, Kejie Li, Harsh Agarwal, Ian Reid

* 8 pages, 6 figures, CVPR 2018 

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Addressing Challenging Place Recognition Tasks using Generative Adversarial Networks


Feb 27, 2018
Yasir Latif, Ravi Garg, Michael Milford, Ian Reid

* Accepted for publication in IEEE International Conference on Robotics and Automation (ICRA), 2018 

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Learning Deeply Supervised Visual Descriptors for Dense Monocular Reconstruction


Nov 16, 2017
Chamara Saroj Weerasekera, Ravi Garg, Ian Reid


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Non-Linear Subspace Clustering with Learned Low-Rank Kernels


Sep 20, 2017
Pan Ji, Ian Reid, Ravi Garg, Hongdong Li, Mathieu Salzmann


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A Bootstrap Machine Learning Approach to Identify Rare Disease Patients from Electronic Health Records


Sep 06, 2016
Ravi Garg, Shu Dong, Sanjiv Shah, Siddhartha R Jonnalagadda


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Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue


Jul 29, 2016
Ravi Garg, Vijay Kumar BG, Gustavo Carneiro, Ian Reid

* Accepted for publication at ECCV 2016 

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Non-linear Dimensionality Regularizer for Solving Inverse Problems


Mar 16, 2016
Ravi Garg, Anders Eriksson, Ian Reid


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