David Meger

Mila > About Mila > Team > David Meger
Associate Academic Member
David Meger
Assistant Professor, McGill University
David Meger

Researcher in visual intelligent systems. Seeking positions to continue developing the state-of-the-art in practicalvisual understanding with the goal of making this technology suitable for production-level systems such asautonomous cars, surveillance, environmental monitoring and home assistants.

Publications

2021-05

Practical Marginalized Importance Sampling with the Successor Representation
Scott Fujimoto, David Meger and Doina Precup
(venue unknown)
(2021-05-04)
openreview.netPDF

2021-01

Learning Intuitive Physics with Multimodal Generative Models.
Sahand Rezaei-Shoshtari, Francois Robert Hogan, Michael Jenkin, David Meger and Gregory Dudek
arXiv: Learning
(2021-01-12)
arxiv.orgPDF

2020-12

Intervention Design for Effective Sim2Real Transfer
Melissa Mozifian, Amy Zhang, Joelle Pineau and David Meger
arXiv preprint arXiv:2012.02055
(2020-12-03)
arxiv.orgPDF

2020-11

Multimodal dynamics modeling for off-road autonomous vehicles.
Jean-François Tremblay, Travis Manderson, Aurélio Noca, Gregory Dudek and David Meger
arXiv preprint arXiv:2011.11751
(2020-11-23)
dblp.uni-trier.dePDF
Seeing Through your Skin: Recognizing Objects with a Novel Visuotactile Sensor.
Francois Robert Hogan, Michael Jenkin, Sahand Rezaei-Shoshtari, Yogesh Girdhar, David Meger and Gregory Dudek
arXiv preprint arXiv:2011.09552
(2020-11-18)
arxiv.orgPDF
Urban Night Scenery Reconstruction by Day-night Registration and Synthesis.
Andi Dai and David Meger
SIGSPATIAL 2020
(2020-11-03)
dblp.uni-trier.de

2020-10

Learning the Latent Space of Robot Dynamics for Cutting Interaction Inference
Sahand Rezaei-Shoshtari, David Meger and Inna Sharf
IROS 2020
(2020-10-24)
dblp.uni-trier.dePDF
Learning Domain Randomization Distributions for Training Robust Locomotion Policies
Melissa Mozian, Juan Camilo Gamboa Higuera, David Meger and Gregory Dudek
IROS 2020
(2020-10-24)
www.arxiv-vanity.comPDF

2020-08

Dynamic planning of redundant robots within a set-based task-priority inverse kinematics framework
Daniele Di Vito, Mathieux Bergeron, David Meger, Gregory Dudek and Gianluca Antonelli
2020 IEEE Conference on Control Technology and Applications (CCTA)
(2020-08-01)
ieeexplore.ieee.org

2020-07

Learning the Latent Space of Robot Dynamics for Cutting Interaction Inference.
Sahand Rezaei-Shoshtari, David Meger and Inna Sharf
arXiv preprint arXiv:2007.11167
(2020-07-22)
ui.adsabs.harvard.eduPDF
Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles
Travis Manderson, Juan Camilo Gamboa Higuera, Stefan Wapnick, Jean-François Tremblay, Florian Shkurti, David Meger and Gregory Dudek
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay.
Scott Fujimoto, David Meger and Doina Precup
arXiv preprint arXiv:2007.06049
(2020-07-12)
ui.adsabs.harvard.eduPDF
3D Shape Reconstruction from Vision and Touch.
Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik and Michal Drozdzal
arXiv preprint arXiv:2007.03778
(2020-07-07)
dblp.uni-trier.dePDF

2020-05

View-Invariant Loop Closure with Oriented Semantic Landmarks
Jimmy Li, Karim Koreitem, David Meger and Gregory Dudek
ICRA 2020
(2020-05-01)
ieeexplore.ieee.org
Depth Prediction for Monocular Direct Visual Odometry
Ran Cheng, Christopher Agia, David Meger and Gregory Dudek
CRV 2020
(2020-05-01)
ieeexplore.ieee.org

2020-04

Learning to Drive Off Road on Smooth Terrain in Unstructured Environments Using an On-Board Camera and Sparse Aerial Images
Travis Manderson, Stefan Wapnick, David Meger and Gregory Dudek
ICRA 2020
(2020-04-09)
dblp.uni-trier.dePDF
Learning to Drive Off Road on Smooth Terrain in Unstructured Environments Using an On-Board Camera and Sparse Aerial Images
Travis Manderson, Stefan Wapnick, David Meger and Gregory Dudek
arXiv preprint arXiv:2004.04697
(2020-04-09)
dblp.uni-trier.dePDF

2020-01

Seeing Through Your Skin: Recognizing Objects With a Novel Visuotactile Sensor
Francois Robert Hogan, Michael Jenkin, Sahand Rezaei-Shoshtari, Yogesh A. Girdhar, David Meger and Gregory Dudek
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision
(2020-01-01)
openaccess.thecvf.comPDF
3D Shape Reconstruction from Vision and Touch
Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik and Michal Drozdzal
NEURIPS 2020
(2020-01-01)
papers.nips.cc
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay
Scott Fujimoto, David Meger and Doina Precup
NEURIPS 2020
(2020-01-01)
papers.nips.cc

2019-12

Detecting GAN generated errors.
Xiru Zhu, Fengdi Che, Tianzi Yang, Tzu-Yang Yu, David Meger and Gregory Dudek
arXiv preprint arXiv:1912.00527
(2019-12-02)
dblp.uni-trier.dePDF

2019-11

Cascaded Gaussian Processes for Data-efficient Robot Dynamics Learning
Sahand Rezaei-Shoshtari, David Meger and Inna Sharf

2019-10

Unifying Variational Inference and PAC-Bayes for Supervised Learning that Scales.
Sanjay Thakur, Herke Van Hoof, Gunshi Gupta and David Meger
arXiv preprint arXiv:1910.10367
(2019-10-23)
ui.adsabs.harvard.eduPDF
Deep learning for Aerosol Forecasting
Caleb Hoyne, S. Karthik Mukkavilli and David Meger
arXiv preprint arXiv:1910.06789
(2019-10-14)
ui.adsabs.harvard.eduPDF

2019-06

GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects
Edward Smith, Adriana Romero, Scott Fujimoto and David Meger
ICML 2019
(2019-06-09)
proceedings.mlr.pressPDF
Off-Policy Deep Reinforcement Learning without Exploration
Scott Fujimoto, David Meger and Doina Precup
Learning Domain Randomization Distributions for Training Robust Locomotion Policies
Melissa Mozifian, Juan Camilo Gamboa Higuera, David Meger and Gregory Dudek
arXiv preprint arXiv:1906.00410
(2019-06-02)
arxiv.org
Learning Domain Randomization Distributions for Transfer of Locomotion Policies.
Melissa Mozifian, Juan Camilo Gamboa Higuera, David Meger and Gregory Dudek
(venue unknown)
(2019-06-02)
dblp.uni-trier.dePDF

2019-05

Semantic Mapping for View-Invariant Relocalization
ICRA 2019
(2019-05-01)
dblp.uni-trier.de
Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks
Sanjay Thakur, Herke van Hoof, Juan Camilo Gamboa Higuera, Doina Precup and David Meger

2019-04

Human Motion Prediction Via Pattern Completion in Latent Representation Space
Yi Tian Xu, Yaqiao Li and David Meger

2019-01

GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects
Edward J. Smith, Scott Fujimoto, Adriana Romero and David Meger
arXiv preprint arXiv:1901.11461
(2019-01-31)
arxiv.orgPDF

2018-12

Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation
Edward Smith, Scott Fujimoto and David Meger
NEURIPS 2018
(2018-12-03)
papers.nips.ccPDF

2018-11

Navigation in the Service of Enhanced Pose Estimation
Travis Manderson, Ran Cheng, David Meger and Gregory Dudek
ISER 2018
(2018-11-05)
doi.org

2018-09

Where Off-Policy Deep Reinforcement Learning Fails
Scott Fujimoto, David Meger and Doina Precup
(venue unknown)
(2018-09-27)
openreview.netPDF

2018-02

OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning
Peter Henderson, Wei-Di Chang, Pierre-luc Bacon, David Meger, Joelle Pineau and Doina Precup
AAAI 2018
(2018-02-07)
ui.adsabs.harvard.eduPDF
Deep Reinforcement Learning that Matters
Peter Henderson, Riashat Islam, Joelle Pineau, David Meger, Doina Precup and Philip Bachman
AAAI 2018
(2018-02-07)
ui.adsabs.harvard.eduPDF

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