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

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Gaurav Pandey

Gaurav Pandey

Developing parsimonious ensembles using predictor diversity within a reinforcement learning framework


Feb 25, 2021
Ana Stanescu, Gaurav Pandey

Figure 1 for Developing parsimonious ensembles using predictor diversity within a reinforcement learning framework
Figure 2 for Developing parsimonious ensembles using predictor diversity within a reinforcement learning framework
Figure 3 for Developing parsimonious ensembles using predictor diversity within a reinforcement learning framework
Figure 4 for Developing parsimonious ensembles using predictor diversity within a reinforcement learning framework
* This work was intended as a replacement of arXiv:1805.02103 and any subsequent updates will appear there 
  Access Paper or Ask Questions

Real Time Incremental Foveal Texture Mapping for Autonomous Vehicles


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

Figure 1 for Real Time Incremental Foveal Texture Mapping for Autonomous Vehicles
Figure 2 for Real Time Incremental Foveal Texture Mapping for Autonomous Vehicles
Figure 3 for Real Time Incremental Foveal Texture Mapping for Autonomous Vehicles
Figure 4 for Real Time Incremental Foveal Texture Mapping for Autonomous Vehicles
* 8 Pages, 10 Figures, 2 Tables. 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2018 
  Access Paper or Ask Questions

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


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

Figure 1 for Simulated Chats for Task-oriented Dialog: Learning to Generate Conversations from Instructions
Figure 2 for Simulated Chats for Task-oriented Dialog: Learning to Generate Conversations from Instructions
Figure 3 for Simulated Chats for Task-oriented Dialog: Learning to Generate Conversations from Instructions
Figure 4 for Simulated Chats for Task-oriented Dialog: Learning to Generate Conversations from Instructions

  Access Paper or Ask Questions

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

Figure 1 for Ford Highway Driving RTK Dataset: 30,000 km of North American Highways
Figure 2 for Ford Highway Driving RTK Dataset: 30,000 km of North American Highways
Figure 3 for Ford Highway Driving RTK Dataset: 30,000 km of North American Highways
Figure 4 for Ford Highway Driving RTK Dataset: 30,000 km of North American Highways
* 8 pages, 4 figures, ION GNSS+ 2020 
  Access Paper or Ask Questions

Unravelling the Architecture of Membrane Proteins with Conditional Random Fields


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

Figure 1 for Unravelling the Architecture of Membrane Proteins with Conditional Random Fields
Figure 2 for Unravelling the Architecture of Membrane Proteins with Conditional Random Fields
Figure 3 for Unravelling the Architecture of Membrane Proteins with Conditional Random Fields
Figure 4 for Unravelling the Architecture of Membrane Proteins with Conditional Random Fields
* See the originally compiled PDF of this paper at: https://drive.google.com/file/d/1IYF52Wk8m96KIlrQHUVtEBdm0Kw3M40c 
  Access Paper or Ask Questions

Experimental Evaluation of 3D-LIDAR Camera Extrinsic Calibration


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

Figure 1 for Experimental Evaluation of 3D-LIDAR Camera Extrinsic Calibration
Figure 2 for Experimental Evaluation of 3D-LIDAR Camera Extrinsic Calibration
Figure 3 for Experimental Evaluation of 3D-LIDAR Camera Extrinsic Calibration
Figure 4 for Experimental Evaluation of 3D-LIDAR Camera Extrinsic Calibration
* Accepted at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 25-29, 2020 | Las Vegas, NV, USA 
  Access Paper or Ask Questions

Aerial Imagery based LIDAR Localization for Autonomous Vehicles


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

Figure 1 for Aerial Imagery based LIDAR Localization for Autonomous Vehicles
Figure 2 for Aerial Imagery based LIDAR Localization for Autonomous Vehicles
Figure 3 for Aerial Imagery based LIDAR Localization for Autonomous Vehicles
Figure 4 for Aerial Imagery based LIDAR Localization for Autonomous Vehicles
* 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 
  Access Paper or Ask Questions

Ford Multi-AV Seasonal Dataset


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

Figure 1 for Ford Multi-AV Seasonal Dataset
Figure 2 for Ford Multi-AV Seasonal Dataset
Figure 3 for Ford Multi-AV Seasonal Dataset
Figure 4 for Ford Multi-AV Seasonal Dataset
* 7 pages, 7 figures, Submitted to International Journal of Robotics Research (IJRR), Visit website at https://avdata.ford.com 
  Access Paper or Ask Questions

Extrinsic Calibration of a 3D-LIDAR and a Camera


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

Figure 1 for Extrinsic Calibration of a 3D-LIDAR and a Camera
Figure 2 for Extrinsic Calibration of a 3D-LIDAR and a Camera
Figure 3 for Extrinsic Calibration of a 3D-LIDAR and a Camera
Figure 4 for Extrinsic Calibration of a 3D-LIDAR and a Camera

  Access Paper or Ask Questions

Mask & Focus: Conversation Modelling by Learning Concepts


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

Figure 1 for Mask & Focus: Conversation Modelling by Learning Concepts
Figure 2 for Mask & Focus: Conversation Modelling by Learning Concepts
Figure 3 for Mask & Focus: Conversation Modelling by Learning Concepts
Figure 4 for Mask & Focus: Conversation Modelling by Learning Concepts
* AAAI 2020 
  Access Paper or Ask Questions

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

Figure 1 for Deep-Geometric 6 DoF Localization from a Single Image in Topo-metric Maps
Figure 2 for Deep-Geometric 6 DoF Localization from a Single Image in Topo-metric Maps
Figure 3 for Deep-Geometric 6 DoF Localization from a Single Image in Topo-metric Maps
Figure 4 for Deep-Geometric 6 DoF Localization from a Single Image in Topo-metric Maps

  Access Paper or Ask Questions

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

Figure 1 for Standalone and RTK GNSS on 30,000 km of North American Highways
Figure 2 for Standalone and RTK GNSS on 30,000 km of North American Highways
Figure 3 for Standalone and RTK GNSS on 30,000 km of North American Highways
Figure 4 for Standalone and RTK GNSS on 30,000 km of North American Highways
* Accepted for the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019), Miami, Florida, September 2019 
  Access Paper or Ask Questions

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

Figure 1 for Localization Requirements for Autonomous Vehicles
Figure 2 for Localization Requirements for Autonomous Vehicles
Figure 3 for Localization Requirements for Autonomous Vehicles
Figure 4 for Localization Requirements for Autonomous Vehicles
* Under review with the SAE Journal of Connected and Automated Vehicles 
  Access Paper or Ask Questions

Deep Discriminative Learning for Unsupervised Domain Adaptation


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

Figure 1 for Deep Discriminative Learning for Unsupervised Domain Adaptation
Figure 2 for Deep Discriminative Learning for Unsupervised Domain Adaptation
Figure 3 for Deep Discriminative Learning for Unsupervised Domain Adaptation
Figure 4 for Deep Discriminative Learning for Unsupervised Domain Adaptation

  Access Paper or Ask Questions

Unsupervised Learning of Interpretable Dialog Models


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

Figure 1 for Unsupervised Learning of Interpretable Dialog Models
Figure 2 for Unsupervised Learning of Interpretable Dialog Models
Figure 3 for Unsupervised Learning of Interpretable Dialog Models
Figure 4 for Unsupervised Learning of Interpretable Dialog Models

  Access Paper or Ask Questions

Developing parsimonious ensembles using ensemble diversity within a reinforcement learning framework


May 05, 2018
Ana Stanescu, Gaurav Pandey

Figure 1 for Developing parsimonious ensembles using ensemble diversity within a reinforcement learning framework
Figure 2 for Developing parsimonious ensembles using ensemble diversity within a reinforcement learning framework
Figure 3 for Developing parsimonious ensembles using ensemble diversity within a reinforcement learning framework
Figure 4 for Developing parsimonious ensembles using ensemble diversity within a reinforcement learning framework

  Access Paper or Ask Questions

Motion Guided LIDAR-camera Autocalibration and Accelerated Depth Super Resolution


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

Figure 1 for Motion Guided LIDAR-camera Autocalibration and Accelerated Depth Super Resolution
Figure 2 for Motion Guided LIDAR-camera Autocalibration and Accelerated Depth Super Resolution
Figure 3 for Motion Guided LIDAR-camera Autocalibration and Accelerated Depth Super Resolution
Figure 4 for Motion Guided LIDAR-camera Autocalibration and Accelerated Depth Super Resolution

  Access Paper or Ask Questions

Compact Environment-Invariant Codes for Robust Visual Place Recognition


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

Figure 1 for Compact Environment-Invariant Codes for Robust Visual Place Recognition
Figure 2 for Compact Environment-Invariant Codes for Robust Visual Place Recognition
Figure 3 for Compact Environment-Invariant Codes for Robust Visual Place Recognition
Figure 4 for Compact Environment-Invariant Codes for Robust Visual Place Recognition
* Conference on Computer and Robot Vision (CRV) 2017 
  Access Paper or Ask Questions

Robust and Fast 3D Scan Alignment using Mutual Information


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

Figure 1 for Robust and Fast 3D Scan Alignment using Mutual Information
Figure 2 for Robust and Fast 3D Scan Alignment using Mutual Information
Figure 3 for Robust and Fast 3D Scan Alignment using Mutual Information
Figure 4 for Robust and Fast 3D Scan Alignment using Mutual Information

  Access Paper or Ask Questions

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


May 03, 2017
Gaurav Pandey, Ambedkar Dukkipati

Figure 1 for Amortized Inference and Learning in Latent Conditional Random Fields for Weakly-Supervised Semantic Image Segmentation
Figure 2 for Amortized Inference and Learning in Latent Conditional Random Fields for Weakly-Supervised Semantic Image Segmentation
Figure 3 for Amortized Inference and Learning in Latent Conditional Random Fields for Weakly-Supervised Semantic Image Segmentation
Figure 4 for Amortized Inference and Learning in Latent Conditional Random Fields for Weakly-Supervised Semantic Image Segmentation
* 8 pages, 3 figures 
  Access Paper or Ask Questions

Discriminative Neural Topic Models


Feb 28, 2017
Gaurav Pandey, Ambedkar Dukkipati

Figure 1 for Discriminative Neural Topic Models
Figure 2 for Discriminative Neural Topic Models
Figure 3 for Discriminative Neural Topic Models
* 6 pages, 9 figures 
  Access Paper or Ask Questions

Variational methods for Conditional Multimodal Deep Learning


Aug 26, 2016
Gaurav Pandey, Ambedkar Dukkipati

Figure 1 for Variational methods for Conditional Multimodal Deep Learning
Figure 2 for Variational methods for Conditional Multimodal Deep Learning
Figure 3 for Variational methods for Conditional Multimodal Deep Learning
Figure 4 for Variational methods for Conditional Multimodal Deep Learning
* 14 pages 
  Access Paper or Ask Questions

On collapsed representation of hierarchical Completely Random Measures


Jun 02, 2016
Gaurav Pandey, Ambedkar Dukkipati

Figure 1 for On collapsed representation of hierarchical Completely Random Measures
* 11 pages, 1 figure 
  Access Paper or Ask Questions

To go deep or wide in learning?


Feb 23, 2014
Gaurav Pandey, Ambedkar Dukkipati

Figure 1 for To go deep or wide in learning?
Figure 2 for To go deep or wide in learning?
* 9 pages, 1 figure, Accepted for publication in Seventeenth International Conference on Artificial Intelligence and Statistics 
  Access Paper or Ask Questions

Generative Maximum Entropy Learning for Multiclass Classification


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


  Access Paper or Ask Questions

A Comparative Analysis of Ensemble Classifiers: Case Studies in Genomics


Sep 19, 2013
Sean Whalen, Gaurav Pandey

Figure 1 for A Comparative Analysis of Ensemble Classifiers: Case Studies in Genomics
Figure 2 for A Comparative Analysis of Ensemble Classifiers: Case Studies in Genomics
Figure 3 for A Comparative Analysis of Ensemble Classifiers: Case Studies in Genomics
Figure 4 for A Comparative Analysis of Ensemble Classifiers: Case Studies in Genomics
* 10 pages, 3 figures, 8 tables, to appear in Proceedings of the 2013 International Conference on Data Mining 
  Access Paper or Ask Questions

Enhancing the functional content of protein interaction networks


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

Figure 1 for Enhancing the functional content of protein interaction networks
Figure 2 for Enhancing the functional content of protein interaction networks
Figure 3 for Enhancing the functional content of protein interaction networks
Figure 4 for Enhancing the functional content of protein interaction networks

  Access Paper or Ask Questions