Simultaneous planning, localization, and mapping in a camera sensor network. - Ioannis M. Rekleitis; David Meger; Gregory Dudek (Robotics Auton. Syst., 2006)

The UBC Semantic Robot Vision System. - Scott Helmer; David Meger; Per-Erik Forssén; Tristram Southey; Sancho McCann; Pooyan Fazli; Jim Little 001; David G. Lowe (AAAI, 2007)

Hybrid Inference for Sensor Network Localization Using a Mobile Robot. - Dimitri Marinakis; David Meger; Ioannis M. Rekleitis; Gregory Dudek (AAAI, 2007)

Informed visual search: Combining attention and object recognition. - Per-Erik Forssén; David Meger; Kevin Lai; Scott Helmer; James J. Little; David G. Lowe (ICRA, 2008)

Heuristic search planning to reduce exploration uncertainty. - David Meger; Ioannis M. Rekleitis; Gregory Dudek (IROS, 2008)

Curious George: An attentive semantic robot. - David Meger; Per-Erik Forssén; Kevin Lai; Scott Helmer; Sancho McCann; Tristram Southey; Matthew A. Baumann; James J. Little; David G. Lowe (Robotics Auton. Syst., 2008)

Automated Spatial-Semantic Modeling with Applications to Place Labeling and Informed Search. - Pooja Viswanathan; David Meger; Tristram Southey; James J. Little; Alan K. Mackworth (CRV, 2009)

Inferring a probability distribution function for the pose of a sensor network using a mobile robot. - David Meger; Dimitri Marinakis; Ioannis M. Rekleitis; Gregory Dudek (ICRA, 2009)

Semantic Robot Vision Challenge: Current State and Future Directions - Scott Helmer; David Meger; Pooja Viswanathan; Sancho McCann; Matthew Dockrey; Pooyan Fazli; Tristram Southey; Marius Muja; Michael Joya; Jim Little 001; David G. Lowe; Alan K. Mackworth (CoRR, 2009)

Multiple Viewpoint Recognition and Localization. - Scott Helmer; David Meger; Marius Muja; James J. Little; David G. Lowe (ACCV (1), 2010)

Curious George: An Integrated Visual Search Platform. - David Meger; Marius Muja; Scott Helmer; Ankur Gupta 004; Catherine Gamroth; Tomas Hoffman; Matthew A. Baumann; Tristram Southey; Pooyan Fazli; Walter Wohlkinger; Pooja Viswanathan; James J. Little; et al. (CRV, 2010)

Viewpoint detection models for sequential embodied object category recognition. - David Meger; Ankur Gupta 004; James J. Little (ICRA, 2010)

Explicit Occlusion Reasoning for 3D Object Detection. - David Meger; Christian Wojek; James J. Little; Bernt Schiele (BMVC, 2011)

Mobile 3D object detection in clutter. - David Meger; James J. Little (IROS, 2011)

Overcoming occlusions in eye-in-hand visual search. - Sina Radmard; David Meger; Elizabeth A. Croft; James J. Little (ACC, 2012)

Fine-Grained Categorization for 3D Scene Understanding. - Michael Stark 003; Jonathan Krause; Bojan Pepik; David Meger; James J. Little; Bernt Schiele; Daphne Koller (BMVC, 2012)

The UBC Visual Robot Survey: A Benchmark for Robot Category Recognition. - David Meger; James J. Little (ISER, 2012)

Overcoming unknown occlusions in eye-in-hand visual search. - Sina Radmard; David Meger; Elizabeth A. Croft; James J. Little (ICRA, 2013)

Trajectory Inference Using a Motion Sensing Network. - Doug Cox; Darren Fairall; Neil MacMillan; Dimitri Marinakis; David Meger; Saamaan Pourtavakoli; Kyle Weston (CRV, 2014)

3D trajectory synthesis and control for a legged swimming robot. - David Meger; Florian Shkurti; David Cortés Poza; Philippe Giguère; Gregory Dudek (IROS, 2014)

Towards Autonomous Robotic Coral Reef Health Assessment. - Travis Manderson; Jimmy Li 001; David Cortés Poza; Natasha Dudek; David Meger; Gregory Dudek (FSR, 2015)

Learning legged swimming gaits from experience. - David Meger; Juan Camilo Gamboa Higuera; Anqi Xu 003; Philippe Giguère; Gregory Dudek (ICRA, 2015)

Learning to generalize 3D spatial relationships. - Jimmy Li 001; David Meger; Gregory Dudek (ICRA, 2016)

Improved Adversarial Systems for 3D Object Generation and Reconstruction. - Edward J. Smith; David Meger (CoRL, 2017)

Adapting learned robotics behaviours through policy adjustment. - Juan Camilo Gamboa Higuera; David Meger; Gregory Dudek (ICRA, 2017)

Context-coherent scenes of objects for camera pose estimation. - Jimmy Li 001; David Meger; Gregory Dudek (IROS, 2017)

Benchmark Environments for Multitask Learning in Continuous Domains. - Peter Henderson 002; Wei-Di Chang; Florian Shkurti; Johanna Hansen; David Meger; Gregory Dudek (CoRR, 2017)

Bayesian Policy Gradients via Alpha Divergence Dropout Inference. - Peter Henderson 002; Thang Doan; Riashat Islam; David Meger (CoRR, 2017)

Robotic Coral Reef Health Assessment Using Automated Image Analysis. - Travis Manderson; Jimmy Li 001; Natasha Dudek; David Meger; Gregory Dudek (J. Field Robotics, 2017)

OptionGAN: Learning Joint Reward-Policy Options Using Generative Adversarial Inverse Reinforcement Learning. - Peter Henderson 002; Wei-Di Chang; Pierre-Luc Bacon; David Meger; Joelle Pineau; Doina Precup (AAAI, 2018)

Deep Reinforcement Learning That Matters. - Peter Henderson 002; Riashat Islam; Philip Bachman; Joelle Pineau; Doina Precup; David Meger (AAAI, 2018)

Semantic Scene Models for Visual Localization under Large Viewpoint Changes. - Jimmy Li 001; Zhaoqi Xu; David Meger; Gregory Dudek (CRV, 2018)

Addressing Function Approximation Error in Actor-Critic Methods. - Scott Fujimoto; Herke van Hoof; David Meger (ICML, 2018)

Eager and Memory-Based Non-Parametric Stochastic Search Methods for Learning Control. - Victor Barbaros; Herke van Hoof; Abbas Abdolmaleki; David Meger (ICRA, 2018)

Cost Adaptation for Robust Decentralized Swarm Behaviour. - Peter Henderson 002; Matthew Vertescher; David Meger; Mark Coates (IROS, 2018)

Synthesizing Neural Network Controllers with Probabilistic Model-Based Reinforcement Learning. - Juan Camilo Gamboa Higuera; David Meger; Gregory Dudek (IROS, 2018)

Navigation in the Service of Enhanced Pose Estimation. - Travis Manderson; Ran Cheng; David Meger; Gregory Dudek (ISER, 2018)

Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation. - Edward J. Smith; Scott Fujimoto; David Meger (NeurIPS, 2018)

3D Object Super-Resolution. - Edward J. Smith; Scott Fujimoto; David Meger (CoRR, 2018)

Resolving Occlusion in Active Visual Target Search of High-Dimensional Robotic Systems. - Sina Radmard; David Meger; James J. Little; Elizabeth A. Croft (IEEE Trans. Robotics, 2018)

Human Motion Prediction Via Pattern Completion in Latent Representation Space. - Yi Tian Xu; Yaqiao Li; David Meger (CRV, 2019)

Off-Policy Deep Reinforcement Learning without Exploration. - Scott Fujimoto; David Meger; Doina Precup (ICML, 2019)

GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects. - Edward J. Smith; Scott Fujimoto; Adriana Romero; David Meger (ICML, 2019)

Semantic Mapping for View-Invariant Relocalization. - Jimmy Li 001; David Meger; Gregory Dudek (ICRA, 2019)

Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks. - Sanjay Thakur; Herke van Hoof; Juan Camilo Gamboa Higuera; Doina Precup; David Meger (ICRA, 2019)

Cascaded Gaussian Processes for Data-efficient Robot Dynamics Learning. - Sahand Rezaei-Shoshtari; David Meger; Inna Sharf (IROS, 2019)

Learning Domain Randomization Distributions for Transfer of Locomotion Policies. - Melissa Mozifian; Juan Camilo Gamboa Higuera; David Meger; Gregory Dudek (CoRR, 2019)

Deep learning for Aerosol Forecasting. - Caleb Hoyne; S. Karthik Mukkavilli; David Meger (CoRR, 2019)

Unifying Variational Inference and PAC-Bayes for Supervised Learning that Scales. - Sanjay Thakur; Herke van Hoof; Gunshi Gupta; David Meger (CoRR, 2019)

Detecting GAN generated errors. - Xiru Zhu; Fengdi Che; Tianzi Yang; Tzu-Yang Yu; David Meger; Gregory Dudek (CoRR, 2019)

Dynamic planning of redundant robots within a set-based task-priority inverse kinematics framework. - Daniele Di Vito; Mathieux Bergeron; David Meger; Gregory Dudek; Gianluca Antonelli (CCTA, 2020)

Depth Prediction for Monocular Direct Visual Odometry. - Ran Cheng; Christopher Agia; David Meger; Gregory Dudek (CRV, 2020)

Urban Night Scenery Reconstruction by Day-night Registration and Synthesis. - Andi Dai; David Meger (SIGSPATIAL/GIS, 2020)

View-Invariant Loop Closure with Oriented Semantic Landmarks. - Jimmy Li 001; Karim Koreitem; David Meger; Gregory Dudek (ICRA, 2020)

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; Gregory Dudek (ICRA, 2020)

Learning Domain Randomization Distributions for Training Robust Locomotion Policies. - Melissa Mozifian; Juan Camilo Gamboa Higuera; David Meger; Gregory Dudek (IROS, 2020)

Learning the Latent Space of Robot Dynamics for Cutting Interaction Inference. - Sahand Rezaei-Shoshtari; David Meger; Inna Sharf (IROS, 2020)

PresSense: Passive Respiration Sensing via Ambient WiFi Signals in Noisy Environments. - Yi Tian Xu; Xi Chen 009; Xue Liu 004; David Meger; Gregory Dudek (IROS, 2020)

An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay. - Scott Fujimoto; David Meger; Doina Precup (NeurIPS, 2020)

3D Shape Reconstruction from Vision and Touch. - Edward J. Smith; Roberto Calandra; Adriana Romero; Georgia Gkioxari; David Meger; Jitendra Malik; Michal Drozdzal (NeurIPS, 2020)

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; Gregory Dudek (Robotics: Science and Systems, 2020)

Intervention Design for Effective Sim2Real Transfer. - Melissa Mozifian; Amy Zhang 001; Joelle Pineau; David Meger (CoRR, 2020)

Learning Intuitive Physics with Multimodal Generative Models. - Sahand Rezaei-Shoshtari; Francois Robert Hogan; Michael Jenkin; David Meger; Gregory Dudek (AAAI, 2021)

Robotic Object Manipulation with Full-Trajectory GAN-Based Imitation Learning. - Haoxu Wang; David Meger (CRV, 2021)

Learning Assisted Identification of Scenarios Where Network Optimization Algorithms Under-Perform. - Dmitriy Rivkin; David Meger; Di Wu 044; Xi Chen 009; Xue Liu 004; Gregory Dudek (GLOBECOM, 2021)

A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation. - Scott Fujimoto; David Meger; Doina Precup (ICML, 2021)

Multimodal dynamics modeling for off-road autonomous vehicles. - Jean-François Tremblay; Travis Manderson; Aurélio Noca; Gregory Dudek; David Meger (ICRA, 2021)

Latent Attention Augmentation for Robust Autonomous Driving Policies. - Ran Cheng; Christopher Agia; Florian Shkurti; David Meger; Gregory Dudek (IROS, 2021)

Trajectory-Constrained Deep Latent Visual Attention for Improved Local Planning in Presence of Heterogeneous Terrain. - Stefan Wapnick; Travis Manderson; David Meger; Gregory Dudek (IROS, 2021)

Active 3D Shape Reconstruction from Vision and Touch. - Edward J. Smith; David Meger; Luis Pineda; Roberto Calandra; Jitendra Malik; Adriana Romero-Soriano; Michal Drozdzal (NeurIPS, 2021)

Seeing Through your Skin: Recognizing Objects with a Novel Visuotactile Sensor. - François Robert Hogan; Michael Jenkin; Sahand Rezaei-Shoshtari; Yogesh A. Girdhar; David Meger; Gregory Dudek (WACV, 2021)

Active 3D Shape Reconstruction from Vision and Touch. - Edward J. Smith; David Meger; Luis Pineda; Roberto Calandra; Jitendra Malik; Adriana Romero; Michal Drozdzal (CoRR, 2021)

An Autonomous Probing System for Collecting Measurements at Depth from Small Surface Vehicles. - Yuying Huang; Yiming Yao; Johanna Hansen; Jeremy Mallette; Sandeep Manjanna; Gregory Dudek; David Meger (CoRR, 2021)

Adaptive Confidence Calibration. - David Meger; Jonathan Pearce (Canadian AI, 2022)

Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error. - Scott Fujimoto; David Meger; Doina Precup; Ofir Nachum; Shixiang Shane Gu (ICML, 2022)

Distributional Hamilton-Jacobi-Bellman Equations for Continuous-Time Reinforcement Learning. - Harley E. Wiltzer; David Meger; Marc G. Bellemare (ICML, 2022)

Visuotactile-RL: Learning Multimodal Manipulation Policies with Deep Reinforcement Learning. - Johanna Hansen; Francois Robert Hogan; Dmitriy Rivkin; David Meger; Michael Jenkin; Gregory Dudek (ICRA, 2022)

Continuous MDP Homomorphisms and Homomorphic Policy Gradient. - Sahand Rezaei-Shoshtari; Rosie Zhao; Prakash Panangaden; David Meger; Doina Precup (NeurIPS, 2022)

IL-flOw: Imitation Learning from Observation using Normalizing Flows. - Wei-Di Chang; Juan Camilo Gamboa Higuera; Scott Fujimoto; David Meger; Gregory Dudek (CoRR, 2022)

Uncertainty-Driven Active Vision for Implicit Scene Reconstruction. - Edward J. Smith; Michal Drozdzal; Derek Nowrouzezahrai; David Meger; Adriana Romero-Soriano (CoRR, 2022)

Bayesian Q-learning With Imperfect Expert Demonstrations. - Fengdi Che; Xiru Zhu; Doina Precup; David Meger; Gregory Dudek (CoRR, 2022)

NeurIPS 2022 Competition: Driving SMARTS. - Amir Rasouli; Randy Goebel; Matthew E. Taylor; Iuliia Kotseruba; Soheil Alizadeh; Tianpei Yang; Montgomery Alban; Florian Shkurti; Yuzheng Zhuang; Adam Scibior; Kasra Rezaee; Animesh Garg; et al. (CoRR, 2022)

Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling. - Lucas Berry; David Meger (AAAI, 2023)

Hypernetworks for Zero-Shot Transfer in Reinforcement Learning. - Sahand Rezaei-Shoshtari; Charlotte Morissette; François Robert Hogan; Gregory Dudek; David Meger (AAAI, 2023)

ANSEL Photobot: A Robot Event Photographer with Semantic Intelligence. - Dmitriy Rivkin; Gregory Dudek; Nikhil Kakodkar; David Meger; Oliver Limoyo; Michael Jenkin; Xue Liu 004; Francois Robert Hogan (ICRA, 2023)

Constrained Robotic Navigation on Preferred Terrains Using LLMs and Speech Instruction: Exploiting the Power of Adverbs. - Faraz Lotfi; Farnoosh Faraji; Nikhil Kakodkar; Travis Manderson; David Meger; Gregory Dudek (ISER, 2023)

For SALE: State-Action Representation Learning for Deep Reinforcement Learning. - Scott Fujimoto; Wei-Di Chang; Edward J. Smith; Shixiang Gu; Doina Precup; David Meger (NeurIPS, 2023)

ANSEL Photobot: A Robot Event Photographer with Semantic Intelligence. - Dmitriy Rivkin; Gregory Dudek; Nikhil Kakodkar; David Meger; Oliver Limoyo; Xue Liu 004; Francois Robert Hogan (CoRR, 2023)

Escaping the Sample Trap: Fast and Accurate Epistemic Uncertainty Estimation with Pairwise-Distance Estimators. - Lucas Berry; David Meger (CoRR, 2023)

Leveraging World Model Disentanglement in Value-Based Multi-Agent Reinforcement Learning. - Zhizun Wang; David Meger (CoRR, 2023)

Generalizable Imitation Learning Through Pre-Trained Representations. - Wei-Di Chang; Francois Robert Hogan; David Meger; Gregory Dudek (CoRR, 2023)

Learning active tactile perception through belief-space control. - Jean-François Tremblay; David Meger; Francois Robert Hogan; Gregory Dudek (CoRR, 2023)

Uncertainty-aware hybrid paradigm of nonlinear MPC and model-based RL for offroad navigation: Exploration of transformers in the predictive model. - Faraz Lotfi; Khalil Virji; Farnoosh Faraji; Lucas Berry; Andrew Holliday; David Meger; Gregory Dudek (ICRA, 2024)

Parseval Regularization for Continual Reinforcement Learning. - Wesley Chung; Lynn Cherif; Doina Precup; David Meger (NeurIPS, 2024)

Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning. - Harley Wiltzer; Marc G. Bellemare; David Meger; Patrick Shafto; Yash Jhaveri (NeurIPS, 2024)

Imitation Learning from Observation through Optimal Transport. - Wei-Di Chang; Scott Fujimoto; David Meger; Gregory Dudek (RLJ, 2024)

Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models. - Lucas Berry; Axel Brando; David Meger (UAI, 2024)

Topological mapping for traversability-aware long-range navigation in off-road terrain. - Jean-François Tremblay; Julie Alhosh; Louis Petit; Faraz Lotfi; Lara Landauro; David Meger (CoRR, 2024)

Fairness in Reinforcement Learning with Bisimulation Metrics. - Sahand Rezaei-Shoshtari; Hanna Yurchyk; Scott Fujimoto; Doina Precup; David Meger (CoRR, 2024)

Policy Gradient Methods in the Presence of Symmetries and State Abstractions. - Prakash Panangaden; Sahand Rezaei-Shoshtari; Rosie Zhao; David Meger; Doina Precup (J. Mach. Learn. Res., 2024)

Tractable Representations for Convergent Approximation of Distributional HJB Equations. - Julie Alhosh; Harley Wiltzer; David Meger (CoRR, 2025)

Seeing the Unseen: How EMoE Unveils Bias in Text-to-Image Diffusion Models. - Lucas Berry; Axel Brando; Wei-Di Chang; Juan Camilo Gamboa Higuera; David Meger (CoRR, 2025)