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Developing parsimonious ensembles using predictor diversity within a reinforcement learning framework


Feb 25, 2021
Ana Stanescu, Gaurav Pandey

* This work was intended as a replacement of arXiv:1805.02103 and any subsequent updates will appear there 

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Real Time Incremental Foveal Texture Mapping for Autonomous Vehicles


Jan 16, 2021
Ashish Kumar, James R. McBride, Gaurav Pandey

* 8 Pages, 10 Figures, 2 Tables. 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2018 

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Simulated Chats for Task-oriented Dialog: Learning to Generate Conversations from Instructions


Oct 20, 2020
Biswesh Mohapatra, Gaurav Pandey, Danish Contractor, Sachindra Joshi


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Ford Highway Driving RTK Dataset: 30,000 km of North American Highways


Oct 05, 2020
Sarah E. Houts, Nahid Pervez, Umair Ibrahim, Gaurav Pandey, Tyler G. R. Reid

* 8 pages, 4 figures, ION GNSS+ 2020 

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Unravelling the Architecture of Membrane Proteins with Conditional Random Fields


Aug 06, 2020
Lior Lukov, Sanjay Chawla, Wei Liu, Brett Church, Gaurav Pandey

* See the originally compiled PDF of this paper at: https://drive.google.com/file/d/1IYF52Wk8m96KIlrQHUVtEBdm0Kw3M40c 

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Experimental Evaluation of 3D-LIDAR Camera Extrinsic Calibration


Jul 03, 2020
Subodh Mishra, Philip R. Osteen, Gaurav Pandey, Srikanth Saripalli

* Accepted at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 25-29, 2020 | Las Vegas, NV, USA 

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Aerial Imagery based LIDAR Localization for Autonomous Vehicles


Mar 25, 2020
Ankit Vora, Siddharth Agarwal, Gaurav Pandey, James McBride

* 6 pages, 7 figures, Submitted to International Conference on Intelligent Robots and Systems (IROS-2020), For the video, see https://www.youtube.com/watch?v=vcY74Z9bOLk 

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Ford Multi-AV Seasonal Dataset


Mar 17, 2020
Siddharth Agarwal, Ankit Vora, Gaurav Pandey, Wayne Williams, Helen Kourous, James McBride

* 7 pages, 7 figures, Submitted to International Journal of Robotics Research (IJRR), Visit website at https://avdata.ford.com 

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Extrinsic Calibration of a 3D-LIDAR and a Camera


Mar 02, 2020
Subodh Mishra, Gaurav Pandey, Srikanth Saripalli


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Mask & Focus: Conversation Modelling by Learning Concepts


Feb 11, 2020
Gaurav Pandey, Dinesh Raghu, Sachindra Joshi

* AAAI 2020 

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Deep-Geometric 6 DoF Localization from a Single Image in Topo-metric Maps


Feb 04, 2020
Tom Roussel, Punarjay Chakravarty, Gaurav Pandey, Tinne Tuytelaars, Luc Van Eycken


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Standalone and RTK GNSS on 30,000 km of North American Highways


Jul 17, 2019
Tyler G. R. Reid, Nahid Pervez, Umair Ibrahim, Sarah E. Houts, Gaurav Pandey, Naveen K. R. Alla, Andy Hsia

* Accepted for the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019), Miami, Florida, September 2019 

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Localization Requirements for Autonomous Vehicles


Jun 03, 2019
Tyler G. R. Reid, Sarah E. Houts, Robert Cammarata, Graham Mills, Siddharth Agarwal, Ankit Vora, Gaurav Pandey

* Under review with the SAE Journal of Connected and Automated Vehicles 

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Deep Discriminative Learning for Unsupervised Domain Adaptation


Nov 17, 2018
Rohith AP, Ambedkar Dukkipati, Gaurav Pandey


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Unsupervised Learning of Interpretable Dialog Models


Nov 02, 2018
Dhiraj Madan, Dinesh Raghu, Gaurav Pandey, Sachindra Joshi


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Developing parsimonious ensembles using ensemble diversity within a reinforcement learning framework


May 05, 2018
Ana Stanescu, Gaurav Pandey


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Motion Guided LIDAR-camera Autocalibration and Accelerated Depth Super Resolution


Mar 28, 2018
Juan Castorena, Gint Puskorius, Gaurav Pandey


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Compact Environment-Invariant Codes for Robust Visual Place Recognition


Sep 23, 2017
Unnat Jain, Vinay P. Namboodiri, Gaurav Pandey

* Conference on Computer and Robot Vision (CRV) 2017 

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Robust and Fast 3D Scan Alignment using Mutual Information


Sep 20, 2017
Nikhil Mehta, James R. McBride, Gaurav Pandey


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Amortized Inference and Learning in Latent Conditional Random Fields for Weakly-Supervised Semantic Image Segmentation


May 03, 2017
Gaurav Pandey, Ambedkar Dukkipati

* 8 pages, 3 figures 

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Discriminative Neural Topic Models


Feb 28, 2017
Gaurav Pandey, Ambedkar Dukkipati

* 6 pages, 9 figures 

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Variational methods for Conditional Multimodal Deep Learning


Aug 26, 2016
Gaurav Pandey, Ambedkar Dukkipati

* 14 pages 

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On collapsed representation of hierarchical Completely Random Measures


Jun 02, 2016
Gaurav Pandey, Ambedkar Dukkipati

* 11 pages, 1 figure 

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To go deep or wide in learning?


Feb 23, 2014
Gaurav Pandey, Ambedkar Dukkipati

* 9 pages, 1 figure, Accepted for publication in Seventeenth International Conference on Artificial Intelligence and Statistics 

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Generative Maximum Entropy Learning for Multiclass Classification


Dec 30, 2013
Ambedkar Dukkipati, Gaurav Pandey, Debarghya Ghoshdastidar, Paramita Koley, D. M. V. Satya Sriram


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A Comparative Analysis of Ensemble Classifiers: Case Studies in Genomics


Sep 19, 2013
Sean Whalen, Gaurav Pandey

* 10 pages, 3 figures, 8 tables, to appear in Proceedings of the 2013 International Conference on Data Mining 

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Enhancing the functional content of protein interaction networks


Oct 25, 2012
Gaurav Pandey, Sahil Manocha, Gowtham Atluri, Vipin Kumar


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