David Meger - RankMe

149 papers A* 40A 16B 2C 1Misc 1Journal 71Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Contractive Diffusion Policies: Robust Action Diffusion via Contractive Score-Based Sampling with Differential Equations. CoRR Amin Abyaneh, Charlotte Morissette, Mohamad H. Danesh, Anas El Houssaini, David Meger, Gregory Dudek, Hsiu-Chin Lin
2026	J	`jnl`	Multi-Agent Model-Based Reinforcement Learning with Joint State-Action Learned Embeddings. CoRR Zhizun Wang, David Meger
2026	J	`jnl`	Tactile Modality Fusion for Vision-Language-Action Models. CoRR Charlotte Morissette, Amin Abyaneh, Wei-Di Chang, Anas El Houssaini, David Meger, Hsiu-Chin Lin, Jonathan Tremblay, Gregory Dudek
2026	J	`jnl`	VOCALoco: Viability-Optimized Cost-Aware Adaptive Locomotion. IEEE Robotics Autom. Lett. Stanley Wu, Mohamad H. Danesh, Simon Li, Hanna Yurchyk, Amin Abyaneh, Anas El Houssaini, David Meger, Hsiu-Chin Lin
2025	J	`jnl`	Convergence Theorems for Entropy-Regularized and Distributional Reinforcement Learning. CoRR Yash Jhaveri, Harley Wiltzer, Patrick Shafto, Marc G. Bellemare, David Meger
2025	A*	`conf`	Generalizable Imitation Learning Through Pre-Trained Representations. ICRA Wei-Di Chang, François Robert Hogan, Scott Fujimoto, David Meger, Gregory Dudek
2025	—	`conf`	Large Pre-Trained Models for Bimanual Manipulation in 3D. Humanoids Hanna Yurchyk, Wei-Di Chang, Gregory Dudek, David Meger
2025	J	`jnl`	Large Pre-Trained Models for Bimanual Manipulation in 3D. CoRR Hanna Yurchyk, Wei-Di Chang, Gregory Dudek, David Meger
2025	A*	`conf`	Learning Active Tactile Perception Through Belief-Space Control. ICRA Jean-François Tremblay, David Meger, Francois Robert Hogan, Gregory Dudek
2025	B	`conf`	Leveraging World Model Disentanglement in Value-Based Multi-Agent Reinforcement Learning. IJCNN Zhizun Wang, David Meger
2025	J	`jnl`	Seeing the Unseen: How EMoE Unveils Bias in Text-to-Image Diffusion Models. CoRR Lucas Berry, Axel Brando, Wei-Di Chang, Juan Camilo Gamboa Higuera, David Meger
2025	A*	`conf`	Topological Mapping for Traversability-Aware Long-Range Navigation in Off-Road Terrain. ICRA Jean-François Tremblay, Julie Alhosh, Louis Petit, Faraz Lotfi, Lara Landauro, David Meger
2025	J	`jnl`	Tractable Representations for Convergent Approximation of Distributional HJB Equations. CoRR Julie Alhosh, Harley Wiltzer, David Meger
2025	J	`jnl`	VOCALoco: Viability-Optimized Cost-aware Adaptive Locomotion. CoRR Stanley Wu, Mohamad H. Danesh, Simon Li, Hanna Yurchyk, Amin Abyaneh, Anas El Houssaini, David Meger, Hsiu-Chin Lin
2024	A*	`conf`	Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning. NeurIPS Harley Wiltzer, Marc G. Bellemare, David Meger, Patrick Shafto, Yash Jhaveri
2024	J	`jnl`	Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning. CoRR Harley Wiltzer, Marc G. Bellemare, David Meger, Patrick Shafto, Yash Jhaveri
2024	J	`jnl`	Constrained Robotic Navigation on Preferred Terrains Using LLMs and Speech Instruction: Exploiting the Power of Adverbs. CoRR Faraz Lotfi, Farnoosh Faraji, Nikhil Kakodkar, Travis Manderson, David Meger, Gregory Dudek
2024	J	`jnl`	Fairness in Reinforcement Learning with Bisimulation Metrics. CoRR Sahand Rezaei-Shoshtari, Hanna Yurchyk, Scott Fujimoto, Doina Precup, David Meger
2024	J	`jnl`	Imitation Learning from Observation through Optimal Transport. RLJ Wei-Di Chang, Scott Fujimoto, David Meger, Gregory Dudek
2024	A*	`conf`	Parseval Regularization for Continual Reinforcement Learning. NeurIPS Wesley Chung, Lynn Cherif, Doina Precup, David Meger
2024	J	`jnl`	Parseval Regularization for Continual Reinforcement Learning. CoRR Wesley Chung, Lynn Cherif, David Meger, Doina Precup
2024	J	`jnl`	Policy Gradient Methods in the Presence of Symmetries and State Abstractions. J. Mach. Learn. Res. Prakash Panangaden, Sahand Rezaei-Shoshtari, Rosie Zhao, David Meger, Doina Precup
2024	A	`conf`	Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models. UAI Lucas Berry, Axel Brando, David Meger
2024	J	`jnl`	Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models. CoRR Lucas Berry, Axel Brando, David Meger
2024	J	`jnl`	Topological mapping for traversability-aware long-range navigation in off-road terrain. CoRR Jean-François Tremblay, Julie Alhosh, Louis Petit, Faraz Lotfi, Lara Landauro, David Meger
2024	A*	`conf`	Uncertainty-aware hybrid paradigm of nonlinear MPC and model-based RL for offroad navigation: Exploration of transformers in the predictive model. ICRA Faraz Lotfi, Khalil Virji, Farnoosh Faraji, Lucas Berry, Andrew Holliday, David Meger, Gregory Dudek
2023	A*	`conf`	ANSEL Photobot: A Robot Event Photographer with Semantic Intelligence. ICRA Dmitriy Rivkin, Gregory Dudek, Nikhil Kakodkar, David Meger, Oliver Limoyo, Michael Jenkin, Xue Liu, Francois Robert Hogan
2023	J	`jnl`	ANSEL Photobot: A Robot Event Photographer with Semantic Intelligence. CoRR Dmitriy Rivkin, Gregory Dudek, Nikhil Kakodkar, David Meger, Oliver Limoyo, Xue Liu, Francois Robert Hogan
2023	—	`conf`	Constrained Robotic Navigation on Preferred Terrains Using LLMs and Speech Instruction: Exploiting the Power of Adverbs. ISER Faraz Lotfi, Farnoosh Faraji, Nikhil Kakodkar, Travis Manderson, David Meger, Gregory Dudek
2023	J	`jnl`	Escaping the Sample Trap: Fast and Accurate Epistemic Uncertainty Estimation with Pairwise-Distance Estimators. CoRR Lucas Berry, David Meger
2023	A*	`conf`	For SALE: State-Action Representation Learning for Deep Reinforcement Learning. NeurIPS Scott Fujimoto, Wei-Di Chang, Edward J. Smith, Shixiang Gu, Doina Precup, David Meger
2023	J	`jnl`	For SALE: State-Action Representation Learning for Deep Reinforcement Learning. CoRR Scott Fujimoto, Wei-Di Chang, Edward J. Smith, Shixiang Shane Gu, Doina Precup, David Meger
2023	J	`jnl`	Generalizable Imitation Learning Through Pre-Trained Representations. CoRR Wei-Di Chang, Francois Robert Hogan, David Meger, Gregory Dudek
2023	A*	`conf`	Hypernetworks for Zero-Shot Transfer in Reinforcement Learning. AAAI Sahand Rezaei-Shoshtari, Charlotte Morissette, François Robert Hogan, Gregory Dudek, David Meger
2023	J	`jnl`	Imitation Learning from Observation through Optimal Transport. CoRR Wei-Di Chang, Scott Fujimoto, David Meger, Gregory Dudek
2023	J	`jnl`	Learning active tactile perception through belief-space control. CoRR Jean-François Tremblay, David Meger, Francois Robert Hogan, Gregory Dudek
2023	J	`jnl`	Leveraging World Model Disentanglement in Value-Based Multi-Agent Reinforcement Learning. CoRR Zhizun Wang, David Meger
2023	A*	`conf`	Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling. AAAI Lucas Berry, David Meger
2023	J	`jnl`	Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling. CoRR Lucas Berry, David Meger
2023	J	`jnl`	Policy Gradient Methods in the Presence of Symmetries and State Abstractions. CoRR Prakash Panangaden, Sahand Rezaei-Shoshtari, Rosie Zhao, David Meger, Doina Precup
2023	J	`jnl`	Uncertainty-aware hybrid paradigm of nonlinear MPC and model-based RL for offroad navigation: Exploration of transformers in the predictive model. CoRR Faraz Lotfi, Khalil Virji, Farnoosh Faraji, Lucas Berry, Andrew Holliday, David Meger, Gregory Dudek
2022	—	`conf`	Adaptive Confidence Calibration. Canadian AI David Meger, Jonathan Pearce
2022	J	`jnl`	Bayesian Q-learning With Imperfect Expert Demonstrations. CoRR Fengdi Che, Xiru Zhu, Doina Precup, David Meger, Gregory Dudek
2022	A*	`conf`	Continuous MDP Homomorphisms and Homomorphic Policy Gradient. NeurIPS Sahand Rezaei-Shoshtari, Rosie Zhao, Prakash Panangaden, David Meger, Doina Precup
2022	J	`jnl`	Continuous MDP Homomorphisms and Homomorphic Policy Gradient. CoRR Sahand Rezaei-Shoshtari, Rosie Zhao, Prakash Panangaden, David Meger, Doina Precup
2022	A*	`conf`	Distributional Hamilton-Jacobi-Bellman Equations for Continuous-Time Reinforcement Learning. ICML Harley E. Wiltzer, David Meger, Marc G. Bellemare
2022	J	`jnl`	Distributional Hamilton-Jacobi-Bellman Equations for Continuous-Time Reinforcement Learning. CoRR Harley Wiltzer, David Meger, Marc G. Bellemare
2022	J	`jnl`	Hypernetworks for Zero-shot Transfer in Reinforcement Learning. CoRR Sahand Rezaei-Shoshtari, Charlotte Morissette, Francois Robert Hogan, Gregory Dudek, David Meger
2022	J	`jnl`	IL-flOw: Imitation Learning from Observation using Normalizing Flows. CoRR Wei-Di Chang, Juan Camilo Gamboa Higuera, Scott Fujimoto, David Meger, Gregory Dudek
2022	J	`jnl`	NeurIPS 2022 Competition: Driving SMARTS. CoRR 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, David Meger, Jun Luo, Liam Paull, Weinan Zhang, Xinyu Wang, Xi Chen
2022	J	`jnl`	Uncertainty-Driven Active Vision for Implicit Scene Reconstruction. CoRR Edward J. Smith, Michal Drozdzal, Derek Nowrouzezahrai, David Meger, Adriana Romero-Soriano
2022	A*	`conf`	Visuotactile-RL: Learning Multimodal Manipulation Policies with Deep Reinforcement Learning. ICRA Johanna Hansen, Francois Robert Hogan, Dmitriy Rivkin, David Meger, Michael Jenkin, Gregory Dudek
2022	A*	`conf`	Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error. ICML Scott Fujimoto, David Meger, Doina Precup, Ofir Nachum, Shixiang Shane Gu
2022	J	`jnl`	Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error. CoRR Scott Fujimoto, David Meger, Doina Precup, Ofir Nachum, Shixiang Shane Gu
2021	A*	`conf`	A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation. ICML Scott Fujimoto, David Meger, Doina Precup
2021	J	`jnl`	A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation. CoRR Scott Fujimoto, David Meger, Doina Precup
2021	A*	`conf`	Active 3D Shape Reconstruction from Vision and Touch. NeurIPS Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero-Soriano, Michal Drozdzal
2021	J	`jnl`	Active 3D Shape Reconstruction from Vision and Touch. CoRR Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero, Michal Drozdzal
2021	J	`jnl`	An Autonomous Probing System for Collecting Measurements at Depth from Small Surface Vehicles. CoRR Yuying Huang, Yiming Yao, Johanna Hansen, Jeremy Mallette, Sandeep Manjanna, Gregory Dudek, David Meger
2021	A	`conf`	Latent Attention Augmentation for Robust Autonomous Driving Policies. IROS Ran Cheng, Christopher Agia, Florian Shkurti, David Meger, Gregory Dudek
2021	B	`conf`	Learning Assisted Identification of Scenarios Where Network Optimization Algorithms Under-Perform. GLOBECOM Dmitriy Rivkin, David Meger, Di Wu, Xi Chen, Xue Liu, Gregory Dudek
2021	A*	`conf`	Learning Intuitive Physics with Multimodal Generative Models. AAAI Sahand Rezaei-Shoshtari, Francois Robert Hogan, Michael Jenkin, David Meger, Gregory Dudek
2021	J	`jnl`	Learning Intuitive Physics with Multimodal Generative Models. CoRR Sahand Rezaei-Shoshtari, Francois Robert Hogan, Michael Jenkin, David Meger, Gregory Dudek
2021	A*	`conf`	Multimodal dynamics modeling for off-road autonomous vehicles. ICRA Jean-François Tremblay, Travis Manderson, Aurélio Noca, Gregory Dudek, David Meger
2021	—	`conf`	Robotic Object Manipulation with Full-Trajectory GAN-Based Imitation Learning. CRV Haoxu Wang, David Meger
2021	A	`conf`	Seeing Through your Skin: Recognizing Objects with a Novel Visuotactile Sensor. WACV François Robert Hogan, Michael Jenkin, Sahand Rezaei-Shoshtari, Yogesh A. Girdhar, David Meger, Gregory Dudek
2021	A	`conf`	Trajectory-Constrained Deep Latent Visual Attention for Improved Local Planning in Presence of Heterogeneous Terrain. IROS Stefan Wapnick, Travis Manderson, David Meger, Gregory Dudek
2021	J	`jnl`	Trajectory-Constrained Deep Latent Visual Attention for Improved Local Planning in Presence of Heterogeneous Terrain. CoRR Stefan Wapnick, Travis Manderson, David Meger, Gregory Dudek
2020	A*	`conf`	3D Shape Reconstruction from Vision and Touch. NeurIPS Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal
2020	J	`jnl`	3D Shape Reconstruction from Vision and Touch. CoRR Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal
2020	A*	`conf`	An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay. NeurIPS Scott Fujimoto, David Meger, Doina Precup
2020	J	`jnl`	An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay. CoRR Scott Fujimoto, David Meger, Doina Precup
2020	—	`conf`	Depth Prediction for Monocular Direct Visual Odometry. CRV Ran Cheng, Christopher Agia, David Meger, Gregory Dudek
2020	—	`conf`	Dynamic planning of redundant robots within a set-based task-priority inverse kinematics framework. CCTA Daniele Di Vito, Mathieux Bergeron, David Meger, Gregory Dudek, Gianluca Antonelli
2020	J	`jnl`	Intervention Design for Effective Sim2Real Transfer. CoRR Melissa Mozifian, Amy Zhang, Joelle Pineau, David Meger
2020	A	`conf`	Learning Domain Randomization Distributions for Training Robust Locomotion Policies. IROS Melissa Mozifian, Juan Camilo Gamboa Higuera, David Meger, Gregory Dudek
2020	A	`conf`	Learning the Latent Space of Robot Dynamics for Cutting Interaction Inference. IROS Sahand Rezaei-Shoshtari, David Meger, Inna Sharf
2020	J	`jnl`	Learning the Latent Space of Robot Dynamics for Cutting Interaction Inference. CoRR Sahand Rezaei-Shoshtari, David Meger, Inna Sharf
2020	A*	`conf`	Learning to Drive Off Road on Smooth Terrain in Unstructured Environments Using an On-Board Camera and Sparse Aerial Images. ICRA Travis Manderson, Stefan Wapnick, David Meger, Gregory Dudek
2020	J	`jnl`	Learning to Drive Off Road on Smooth Terrain in Unstructured Environments Using an On-Board Camera and Sparse Aerial Images. CoRR Travis Manderson, Stefan Wapnick, David Meger, Gregory Dudek
2020	J	`jnl`	Multimodal dynamics modeling for off-road autonomous vehicles. CoRR Jean-François Tremblay, Travis Manderson, Aurélio Noca, Gregory Dudek, David Meger
2020	A	`conf`	PresSense: Passive Respiration Sensing via Ambient WiFi Signals in Noisy Environments. IROS Yi Tian Xu, Xi Chen, Xue Liu, David Meger, Gregory Dudek
2020	J	`jnl`	Seeing Through your Skin: Recognizing Objects with a Novel Visuotactile Sensor. CoRR Francois Robert Hogan, Michael Jenkin, Sahand Rezaei-Shoshtari, Yogesh A. Girdhar, David Meger, Gregory Dudek
2020	—	`conf`	Urban Night Scenery Reconstruction by Day-night Registration and Synthesis. SIGSPATIAL/GIS Andi Dai, David Meger
2020	A*	`conf`	View-Invariant Loop Closure with Oriented Semantic Landmarks. ICRA Jimmy Li, Karim Koreitem, David Meger, Gregory Dudek
2020	—	`conf`	Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles. Robotics: Science and Systems Travis Manderson, Juan Camilo Gamboa Higuera, Stefan Wapnick, Jean-François Tremblay, Florian Shkurti, David Meger, Gregory Dudek
2020	J	`jnl`	Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles. CoRR Travis Manderson, Juan Camilo Gamboa Higuera, Stefan Wapnick, Jean-François Tremblay, Florian Shkurti, David Meger, Gregory Dudek
2019	A	`conf`	Cascaded Gaussian Processes for Data-efficient Robot Dynamics Learning. IROS Sahand Rezaei-Shoshtari, David Meger, Inna Sharf
2019	J	`jnl`	Cascaded Gaussian Processes for Data-efficient Robot Dynamics Learning. CoRR Sahand Rezaei-Shoshtari, David Meger, Inna Sharf
2019	J	`jnl`	Deep learning for Aerosol Forecasting. CoRR Caleb Hoyne, S. Karthik Mukkavilli, David Meger
2019	J	`jnl`	Detecting GAN generated errors. CoRR Xiru Zhu, Fengdi Che, Tianzi Yang, Tzu-Yang Yu, David Meger, Gregory Dudek
2019	A*	`conf`	GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects. ICML Edward J. Smith, Scott Fujimoto, Adriana Romero, David Meger
2019	J	`jnl`	GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects. CoRR Edward J. Smith, Scott Fujimoto, Adriana Romero, David Meger
2019	—	`conf`	Human Motion Prediction Via Pattern Completion in Latent Representation Space. CRV Yi Tian Xu, Yaqiao Li, David Meger
2019	J	`jnl`	Human Motion Prediction via Pattern Completion in Latent Representation Space. CoRR Yi Tian Xu, Yaqiao Li, David Meger
2019	J	`jnl`	Learning Domain Randomization Distributions for Transfer of Locomotion Policies. CoRR Melissa Mozifian, Juan Camilo Gamboa Higuera, David Meger, Gregory Dudek
2019	A*	`conf`	Off-Policy Deep Reinforcement Learning without Exploration. ICML Scott Fujimoto, David Meger, Doina Precup
2019	A*	`conf`	Semantic Mapping for View-Invariant Relocalization. ICRA Jimmy Li, David Meger, Gregory Dudek
2019	A*	`conf`	Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks. ICRA Sanjay Thakur, Herke van Hoof, Juan Camilo Gamboa Higuera, Doina Precup, David Meger
2019	J	`jnl`	Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks. CoRR Sanjay Thakur, Herke van Hoof, Juan Camilo Gamboa Higuera, Doina Precup, David Meger
2019	J	`jnl`	Unifying Variational Inference and PAC-Bayes for Supervised Learning that Scales. CoRR Sanjay Thakur, Herke van Hoof, Gunshi Gupta, David Meger
2018	J	`jnl`	3D Object Super-Resolution. CoRR Edward J. Smith, Scott Fujimoto, David Meger
2018	A*	`conf`	Addressing Function Approximation Error in Actor-Critic Methods. ICML Scott Fujimoto, Herke van Hoof, David Meger
2018	J	`jnl`	Addressing Function Approximation Error in Actor-Critic Methods. CoRR Scott Fujimoto, Herke van Hoof, David Meger
2018	A	`conf`	Cost Adaptation for Robust Decentralized Swarm Behaviour. IROS Peter Henderson, Matthew Vertescher, David Meger, Mark Coates
2018	A*	`conf`	Deep Reinforcement Learning That Matters. AAAI Peter Henderson, Riashat Islam, Philip Bachman, Joelle Pineau, Doina Precup, David Meger
2018	A*	`conf`	Eager and Memory-Based Non-Parametric Stochastic Search Methods for Learning Control. ICRA Victor Barbaros, Herke van Hoof, Abbas Abdolmaleki, David Meger
2018	A*	`conf`	Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation. NeurIPS Edward J. Smith, Scott Fujimoto, David Meger
2018	—	`conf`	Navigation in the Service of Enhanced Pose Estimation. ISER Travis Manderson, Ran Cheng, David Meger, Gregory Dudek
2018	J	`jnl`	Off-Policy Deep Reinforcement Learning without Exploration. CoRR Scott Fujimoto, David Meger, Doina Precup
2018	A*	`conf`	OptionGAN: Learning Joint Reward-Policy Options Using Generative Adversarial Inverse Reinforcement Learning. AAAI Peter Henderson, Wei-Di Chang, Pierre-Luc Bacon, David Meger, Joelle Pineau, Doina Precup
2018	J	`jnl`	Resolving Occlusion in Active Visual Target Search of High-Dimensional Robotic Systems. IEEE Trans. Robotics Sina Radmard, David Meger, James J. Little, Elizabeth A. Croft
2018	—	`conf`	Semantic Scene Models for Visual Localization under Large Viewpoint Changes. CRV Jimmy Li, Zhaoqi Xu, David Meger, Gregory Dudek
2018	J	`jnl`	Synthesizing Neural Network Controllers with Probabilistic Model based Reinforcement Learning. CoRR Juan Camilo Gamboa Higuera, David Meger, Gregory Dudek
2018	A	`conf`	Synthesizing Neural Network Controllers with Probabilistic Model-Based Reinforcement Learning. IROS Juan Camilo Gamboa Higuera, David Meger, Gregory Dudek
2017	A*	`conf`	Adapting learned robotics behaviours through policy adjustment. ICRA Juan Camilo Gamboa Higuera, David Meger, Gregory Dudek
2017	J	`jnl`	Bayesian Policy Gradients via Alpha Divergence Dropout Inference. CoRR Peter Henderson, Thang Doan, Riashat Islam, David Meger
2017	J	`jnl`	Benchmark Environments for Multitask Learning in Continuous Domains. CoRR Peter Henderson, Wei-Di Chang, Florian Shkurti, Johanna Hansen, David Meger, Gregory Dudek
2017	A	`conf`	Context-coherent scenes of objects for camera pose estimation. IROS Jimmy Li, David Meger, Gregory Dudek
2017	J	`jnl`	Cost Adaptation for Robust Decentralized Swarm Behaviour. CoRR Peter Henderson, Matthew Vertescher, David Meger, Mark Coates
2017	J	`jnl`	Deep Reinforcement Learning that Matters. CoRR Peter Henderson, Riashat Islam, Philip Bachman, Joelle Pineau, Doina Precup, David Meger
2017	Misc	`conf`	Improved Adversarial Systems for 3D Object Generation and Reconstruction. CoRL Edward J. Smith, David Meger
2017	J	`jnl`	Improved Adversarial Systems for 3D Object Generation and Reconstruction. CoRR Edward J. Smith, David Meger
2017	J	`jnl`	OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning. CoRR Peter Henderson, Wei-Di Chang, Pierre-Luc Bacon, David Meger, Joelle Pineau, Doina Precup
2017	J	`jnl`	Robotic Coral Reef Health Assessment Using Automated Image Analysis. J. Field Robotics Travis Manderson, Jimmy Li, Natasha K. Dudek, David Meger, Gregory Dudek
2016	A*	`conf`	Learning to generalize 3D spatial relationships. ICRA Jimmy Li, David Meger, Gregory Dudek
2015	A*	`conf`	Learning legged swimming gaits from experience. ICRA David Meger, Juan Camilo Gamboa Higuera, Anqi Xu, Philippe Giguère, Gregory Dudek
2015	—	`conf`	Towards Autonomous Robotic Coral Reef Health Assessment. FSR Travis Manderson, Jimmy Li, David Cortés Poza, Natasha K. Dudek, David Meger, Gregory Dudek
2014	A	`conf`	3D trajectory synthesis and control for a legged swimming robot. IROS David Meger, Florian Shkurti, David Cortés Poza, Philippe Giguère, Gregory Dudek
2014	—	`conf`	Trajectory Inference Using a Motion Sensing Network. CRV Doug Cox, Darren Fairall, Neil Macmillan, Dimitri Marinakis, David Meger, Saamaan Pourtavakoli, Kyle Weston
2013	A*	`conf`	Overcoming unknown occlusions in eye-in-hand visual search. ICRA Sina Radmard, David Meger, Elizabeth A. Croft, James J. Little
2012	A	`conf`	Fine-Grained Categorization for 3D Scene Understanding. BMVC Michael Stark, Jonathan Krause, Bojan Pepik, David Meger, James J. Little, Bernt Schiele, Daphne Koller
2012	C	`conf`	Overcoming occlusions in eye-in-hand visual search. ACC Sina Radmard, David Meger, Elizabeth A. Croft, James J. Little
2012	—	`conf`	The UBC Visual Robot Survey: A Benchmark for Robot Category Recognition. ISER David Meger, James J. Little
2011	A	`conf`	Explicit Occlusion Reasoning for 3D Object Detection. BMVC David Meger, Christian Wojek, James J. Little, Bernt Schiele
2011	A	`conf`	Mobile 3D object detection in clutter. IROS David Meger, James J. Little
2010	—	`conf`	Curious George: An Integrated Visual Search Platform. CRV David Meger, Marius Muja, Scott Helmer, Ankur Gupta, Catherine Gamroth, Tomas Hoffman, Matthew A. Baumann, Tristram Southey, Pooyan Fazli, Walter Wohlkinger, Pooja Viswanathan, James J. Little, David G. Lowe, James Orwell
2010	—	`conf`	Multiple Viewpoint Recognition and Localization. ACCV (1) Scott Helmer, David Meger, Marius Muja, James J. Little, David G. Lowe
2010	A*	`conf`	Viewpoint detection models for sequential embodied object category recognition. ICRA David Meger, Ankur Gupta, James J. Little
2009	—	`conf`	Automated Spatial-Semantic Modeling with Applications to Place Labeling and Informed Search. CRV Pooja Viswanathan, David Meger, Tristram Southey, James J. Little, Alan K. Mackworth
2009	A*	`conf`	Inferring a probability distribution function for the pose of a sensor network using a mobile robot. ICRA David Meger, Dimitri Marinakis, Ioannis M. Rekleitis, Gregory Dudek
2009	J	`jnl`	Semantic Robot Vision Challenge: Current State and Future Directions CoRR Scott Helmer, David Meger, Pooja Viswanathan, Sancho McCann, Matthew Dockrey, Pooyan Fazli, Tristram Southey, Marius Muja, Michael Joya, Jim Little, David G. Lowe, Alan K. Mackworth
2008	J	`jnl`	Curious George: An attentive semantic robot. Robotics Auton. Syst. David Meger, Per-Erik Forssén, Kevin Lai, Scott Helmer, Sancho McCann, Tristram Southey, Matthew A. Baumann, James J. Little, David G. Lowe
2008	A	`conf`	Heuristic search planning to reduce exploration uncertainty. IROS David Meger, Ioannis M. Rekleitis, Gregory Dudek
2008	A*	`conf`	Informed visual search: Combining attention and object recognition. ICRA Per-Erik Forssén, David Meger, Kevin Lai, Scott Helmer, James J. Little, David G. Lowe
2007	A*	`conf`	Hybrid Inference for Sensor Network Localization Using a Mobile Robot. AAAI Dimitri Marinakis, David Meger, Ioannis M. Rekleitis, Gregory Dudek
2007	A*	`conf`	The UBC Semantic Robot Vision System. AAAI Scott Helmer, David Meger, Per-Erik Forssén, Tristram Southey, Sancho McCann, Pooyan Fazli, Jim Little, David G. Lowe
2006	—	`conf`	Simultaneous Planning, Localization, and Mapping in a Camera Sensor Network. DARS David Meger, Ioannis M. Rekleitis, Gregory Dudek
2006	J	`jnl`	Simultaneous planning, localization, and mapping in a camera sensor network. Robotics Auton. Syst. Ioannis M. Rekleitis, David Meger, Gregory Dudek