default search action
David Meger
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [j5]Prakash Panangaden, Sahand Rezaei-Shoshtari, Rosie Zhao, David Meger, Doina Precup:
Policy Gradient Methods in the Presence of Symmetries and State Abstractions. J. Mach. Learn. Res. 25: 71:1-71:57 (2024) - [c69]Faraz Lotfi, Khalil Virji, Farnoosh Faraji, Lucas Berry, Andrew Holliday, David Meger
, Gregory Dudek:
Uncertainty-aware hybrid paradigm of nonlinear MPC and model-based RL for offroad navigation: Exploration of transformers in the predictive model. ICRA 2024: 2925-2931 - [i52]Faraz Lotfi, Farnoosh Faraji, Nikhil Kakodkar, Travis Manderson, David Meger
Constrained Robotic Navigation on Preferred Terrains Using LLMs and Speech Instruction: Exploiting the Power of Adverbs. CoRR abs/2404.02294 (2024) - [i51]Lucas Berry, Axel Brando, David Meger
Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models. CoRR abs/2406.18580 (2024) - 2023
- [c68]Lucas Berry, David Meger:
Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling. AAAI 2023: 6806-6814 - [c67]Sahand Rezaei-Shoshtari, Charlotte Morissette, François Robert Hogan, Gregory Dudek, David Meger:
Hypernetworks for Zero-Shot Transfer in Reinforcement Learning. AAAI 2023: 9579-9587 - [c66]Dmitriy Rivkin, Gregory Dudek, Nikhil Kakodkar, David Meger
ANSEL Photobot: A Robot Event Photographer with Semantic Intelligence. ICRA 2023: 8262-8268 - [c65]Scott Fujimoto, Wei-Di Chang, Edward J. Smith, Shixiang Gu, Doina Precup, David Meger:
For SALE: State-Action Representation Learning for Deep Reinforcement Learning. NeurIPS 2023 - [i50]Lucas Berry, David Meger
Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling. CoRR abs/2302.01312 (2023) - [i49]Dmitriy Rivkin, Gregory Dudek, Nikhil Kakodkar, David Meger
ANSEL Photobot: A Robot Event Photographer with Semantic Intelligence. CoRR abs/2302.07931 (2023) - [i48]Prakash Panangaden, Sahand Rezaei-Shoshtari, Rosie Zhao, David Meger
Policy Gradient Methods in the Presence of Symmetries and State Abstractions. CoRR abs/2305.05666 (2023) - [i47]Scott Fujimoto, Wei-Di Chang, Edward J. Smith, Shixiang Shane Gu, Doina Precup, David Meger
For SALE: State-Action Representation Learning for Deep Reinforcement Learning. CoRR abs/2306.02451 (2023) - [i46]Lucas Berry, David Meger
Escaping the Sample Trap: Fast and Accurate Epistemic Uncertainty Estimation with Pairwise-Distance Estimators. CoRR abs/2308.13498 (2023) - [i45]Zhizun Wang, David Meger:
Leveraging World Model Disentanglement in Value-Based Multi-Agent Reinforcement Learning. CoRR abs/2309.04615 (2023) - [i44]Faraz Lotfi, Khalil Virji, Farnoosh Faraji, Lucas Berry, Andrew Holliday, David Meger
Uncertainty-aware hybrid paradigm of nonlinear MPC and model-based RL for offroad navigation: Exploration of transformers in the predictive model. CoRR abs/2310.00760 (2023) - [i43]Wei-Di Chang, Scott Fujimoto, David Meger
Imitation Learning from Observation through Optimal Transport. CoRR abs/2310.01632 (2023) - [i42]Wei-Di Chang, Francois Robert Hogan, David Meger
Generalizable Imitation Learning Through Pre-Trained Representations. CoRR abs/2311.09350 (2023) - [i41]Jean-François Tremblay, David Meger
Learning active tactile perception through belief-space control. CoRR abs/2312.00215 (2023) - 2022
- [c64]David Meger, Jonathan Pearce:
Adaptive Confidence Calibration. Canadian AI 2022 - [c63]Scott Fujimoto, David Meger, Doina Precup, Ofir Nachum, Shixiang Shane Gu:
Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error. ICML 2022: 6918-6943 - [c62]Harley E. Wiltzer, David Meger, Marc G. Bellemare:
Distributional Hamilton-Jacobi-Bellman Equations for Continuous-Time Reinforcement Learning. ICML 2022: 23832-23856 - [c61]Johanna Hansen, Francois Robert Hogan, Dmitriy Rivkin, David Meger
Visuotactile-RL: Learning Multimodal Manipulation Policies with Deep Reinforcement Learning. ICRA 2022: 8298-8304 - [c60]Sahand Rezaei-Shoshtari, Rosie Zhao, Prakash Panangaden, David Meger, Doina Precup:
Continuous MDP Homomorphisms and Homomorphic Policy Gradient. NeurIPS 2022 - [i40]Scott Fujimoto, David Meger, Doina Precup, Ofir Nachum, Shixiang Shane Gu:
Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error. CoRR abs/2201.12417 (2022) - [i39]Wei-Di Chang, Juan Camilo Gamboa Higuera, Scott Fujimoto, David Meger
IL-flOw: Imitation Learning from Observation using Normalizing Flows. CoRR abs/2205.09251 (2022) - [i38]Harley Wiltzer
Distributional Hamilton-Jacobi-Bellman Equations for Continuous-Time Reinforcement Learning. CoRR abs/2205.12184 (2022) - [i37]Sahand Rezaei-Shoshtari, Rosie Zhao, Prakash Panangaden, David Meger
Continuous MDP Homomorphisms and Homomorphic Policy Gradient. CoRR abs/2209.07364 (2022) - [i36]Edward J. Smith, Michal Drozdzal, Derek Nowrouzezahrai, David Meger
Uncertainty-Driven Active Vision for Implicit Scene Reconstruction. CoRR abs/2210.00978 (2022) - [i35]Fengdi Che, Xiru Zhu, Doina Precup, David Meger
Bayesian Q-learning With Imperfect Expert Demonstrations. CoRR abs/2210.01800 (2022) - [i34]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
NeurIPS 2022 Competition: Driving SMARTS. CoRR abs/2211.07545 (2022) - [i33]Sahand Rezaei-Shoshtari, Charlotte Morissette, Francois Robert Hogan, Gregory Dudek, David Meger
Hypernetworks for Zero-shot Transfer in Reinforcement Learning. CoRR abs/2211.15457 (2022) - 2021
- [c59]Sahand Rezaei-Shoshtari, Francois Robert Hogan, Michael Jenkin, David Meger, Gregory Dudek:
Learning Intuitive Physics with Multimodal Generative Models. AAAI 2021: 6110-6118 - [c58]Haoxu Wang, David Meger
Robotic Object Manipulation with Full-Trajectory GAN-Based Imitation Learning. CRV 2021: 57-63 - [c57]Dmitriy Rivkin, David Meger
Learning Assisted Identification of Scenarios Where Network Optimization Algorithms Under-Perform. GLOBECOM 2021: 1-7 - [c56]Scott Fujimoto, David Meger, Doina Precup:
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation. ICML 2021: 3518-3529 - [c55]Jean-François Tremblay, Travis Manderson, Aurélio Noca, Gregory Dudek
Multimodal dynamics modeling for off-road autonomous vehicles. ICRA 2021: 1796-1802 - [c54]Ran Cheng, Christopher Agia, Florian Shkurti, David Meger
Latent Attention Augmentation for Robust Autonomous Driving Policies. IROS 2021: 130-136 - [c53]Stefan Wapnick, Travis Manderson, David Meger
Trajectory-Constrained Deep Latent Visual Attention for Improved Local Planning in Presence of Heterogeneous Terrain. IROS 2021: 460-467 - [c52]Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero-Soriano, Michal Drozdzal:
Active 3D Shape Reconstruction from Vision and Touch. NeurIPS 2021: 16064-16078 - [c51]François Robert Hogan, Michael Jenkin, Sahand Rezaei-Shoshtari, Yogesh A. Girdhar
Seeing Through your Skin: Recognizing Objects with a Novel Visuotactile Sensor. WACV 2021: 1217-1226 - [i32]Sahand Rezaei-Shoshtari, Francois Robert Hogan, Michael Jenkin, David Meger, Gregory Dudek:
Learning Intuitive Physics with Multimodal Generative Models. CoRR abs/2101.04454 (2021) - [i31]Scott Fujimoto, David Meger, Doina Precup:
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation. CoRR abs/2106.06854 (2021) - [i30]Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero, Michal Drozdzal:
Active 3D Shape Reconstruction from Vision and Touch. CoRR abs/2107.09584 (2021) - [i29]Yuying Huang, Yiming Yao, Johanna Hansen, Jeremy Mallette, Sandeep Manjanna, Gregory Dudek, David Meger:
An Autonomous Probing System for Collecting Measurements at Depth from Small Surface Vehicles. CoRR abs/2110.14738 (2021) - [i28]Stefan Wapnick, Travis Manderson, David Meger, Gregory Dudek:
Trajectory-Constrained Deep Latent Visual Attention for Improved Local Planning in Presence of Heterogeneous Terrain. CoRR abs/2112.04684 (2021) - 2020
- [c50]Daniele Di Vito, Mathieux Bergeron, David Meger
Dynamic planning of redundant robots within a set-based task-priority inverse kinematics framework. CCTA 2020: 549-554 - [c49]Ran Cheng, Christopher Agia, David Meger
Depth Prediction for Monocular Direct Visual Odometry. CRV 2020: 70-77 - [c48]Andi Dai, David Meger
Urban Night Scenery Reconstruction by Day-night Registration and Synthesis. SIGSPATIAL/GIS 2020: 115-118 - [c47]Travis Manderson, Stefan Wapnick, David Meger
Learning to Drive Off Road on Smooth Terrain in Unstructured Environments Using an On-Board Camera and Sparse Aerial Images. ICRA 2020: 1263-1269 - [c46]Jimmy Li, Karim Koreitem, David Meger
View-Invariant Loop Closure with Oriented Semantic Landmarks. ICRA 2020: 7943-7949 - [c45]Yi Tian Xu, Xi Chen, Xue Liu, David Meger
PresSense: Passive Respiration Sensing via Ambient WiFi Signals in Noisy Environments. IROS 2020: 4032-4039 - [c44]Sahand Rezaei-Shoshtari, David Meger
Learning the Latent Space of Robot Dynamics for Cutting Interaction Inference. IROS 2020: 5627-5632 - [c43]Melissa Mozifian, Juan Camilo Gamboa Higuera, David Meger
Learning Domain Randomization Distributions for Training Robust Locomotion Policies. IROS 2020: 6112-6117 - [c42]Scott Fujimoto, David Meger, Doina Precup:
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay. NeurIPS 2020 - [c41]Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal:
3D Shape Reconstruction from Vision and Touch. NeurIPS 2020 - [c40]Travis Manderson, Juan Camilo Gamboa Higuera, Stefan Wapnick, Jean-François Tremblay, Florian Shkurti, David Meger
Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles. Robotics: Science and Systems 2020 - [i27]Travis Manderson, Stefan Wapnick, David Meger, Gregory Dudek:
Learning to Drive Off Road on Smooth Terrain in Unstructured Environments Using an On-Board Camera and Sparse Aerial Images. CoRR abs/2004.04697 (2020) - [i26]Travis Manderson, Juan Camilo Gamboa Higuera, Stefan Wapnick, Jean-François Tremblay, Florian Shkurti, David Meger, Gregory Dudek:
Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles. CoRR abs/2006.16235 (2020) - [i25]Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal:
3D Shape Reconstruction from Vision and Touch. CoRR abs/2007.03778 (2020) - [i24]Scott Fujimoto, David Meger, Doina Precup:
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay. CoRR abs/2007.06049 (2020) - [i23]Sahand Rezaei-Shoshtari, David Meger, Inna Sharf:
Learning the Latent Space of Robot Dynamics for Cutting Interaction Inference. CoRR abs/2007.11167 (2020) - [i22]Francois Robert Hogan, Michael Jenkin, Sahand Rezaei-Shoshtari, Yogesh A. Girdhar, David Meger, Gregory Dudek:
Seeing Through your Skin: Recognizing Objects with a Novel Visuotactile Sensor. CoRR abs/2011.09552 (2020) - [i21]Jean-François Tremblay, Travis Manderson, Aurélio Noca, Gregory Dudek, David Meger:
Multimodal dynamics modeling for off-road autonomous vehicles. CoRR abs/2011.11751 (2020) - [i20]Melissa Mozifian, Amy Zhang, Joelle Pineau, David Meger:
Intervention Design for Effective Sim2Real Transfer. CoRR abs/2012.02055 (2020)
2010 – 2019
- 2019
- [c39]Yi Tian Xu, Yaqiao Li, David Meger
Human Motion Prediction Via Pattern Completion in Latent Representation Space. CRV 2019: 57-64 - [c38]Scott Fujimoto, David Meger, Doina Precup:
Off-Policy Deep Reinforcement Learning without Exploration. ICML 2019: 2052-2062 - [c37]Edward J. Smith, Scott Fujimoto, Adriana Romero, David Meger:
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects. ICML 2019: 5866-5876 - [c36]Sanjay Thakur, Herke van Hoof, Juan Camilo Gamboa Higuera, Doina Precup, David Meger
Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks. ICRA 2019: 768-774 - [c35]Jimmy Li, David Meger
Semantic Mapping for View-Invariant Relocalization. ICRA 2019: 7108-7115 - [c34]Sahand Rezaei-Shoshtari, David Meger
Cascaded Gaussian Processes for Data-efficient Robot Dynamics Learning. IROS 2019: 6871-6877 - [i19]Edward J. Smith, Scott Fujimoto, Adriana Romero, David Meger:
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects. CoRR abs/1901.11461 (2019) - [i18]Sanjay Thakur, Herke van Hoof, Juan Camilo Gamboa Higuera, Doina Precup, David Meger:
Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks. CoRR abs/1903.05697 (2019) - [i17]Yi Tian Xu, Yaqiao Li, David Meger:
Human Motion Prediction via Pattern Completion in Latent Representation Space. CoRR abs/1904.09039 (2019) - [i16]Melissa Mozifian, Juan Camilo Gamboa Higuera, David Meger, Gregory Dudek:
Learning Domain Randomization Distributions for Transfer of Locomotion Policies. CoRR abs/1906.00410 (2019) - [i15]Sahand Rezaei-Shoshtari, David Meger, Inna Sharf:
Cascaded Gaussian Processes for Data-efficient Robot Dynamics Learning. CoRR abs/1910.02291 (2019) - [i14]Caleb Hoyne, S. Karthik Mukkavilli
Deep learning for Aerosol Forecasting. CoRR abs/1910.06789 (2019) - [i13]Sanjay Thakur, Herke van Hoof, Gunshi Gupta, David Meger:
Unifying Variational Inference and PAC-Bayes for Supervised Learning that Scales. CoRR abs/1910.10367 (2019) - [i12]Xiru Zhu, Fengdi Che, Tianzi Yang, Tzu-Yang Yu, David Meger, Gregory Dudek:
Detecting GAN generated errors. CoRR abs/1912.00527 (2019) - 2018
- [j4]Sina Radmard
Resolving Occlusion in Active Visual Target Search of High-Dimensional Robotic Systems. IEEE Trans. Robotics 34(3): 616-629 (2018) - [c33]Peter Henderson, Wei-Di Chang, Pierre-Luc Bacon, David Meger, Joelle Pineau, Doina Precup:
OptionGAN: Learning Joint Reward-Policy Options Using Generative Adversarial Inverse Reinforcement Learning. AAAI 2018: 3199-3206 - [c32]Peter Henderson, Riashat Islam, Philip Bachman, Joelle Pineau, Doina Precup, David Meger:
Deep Reinforcement Learning That Matters. AAAI 2018: 3207-3214 - [c31]Jimmy Li, Zhaoqi Xu, David Meger
Semantic Scene Models for Visual Localization under Large Viewpoint Changes. CRV 2018: 174-181 - [c30]Scott Fujimoto, Herke van Hoof, David Meger:
Addressing Function Approximation Error in Actor-Critic Methods. ICML 2018: 1582-1591 - [c29]Victor Barbaros, Herke van Hoof, Abbas Abdolmaleki, David Meger:
Eager and Memory-Based Non-Parametric Stochastic Search Methods for Learning Control. ICRA 2018: 1-9 - [c28]Juan Camilo Gamboa Higuera, David Meger
Synthesizing Neural Network Controllers with Probabilistic Model-Based Reinforcement Learning. IROS 2018: 2538-2544 - [c27]Peter Henderson, Matthew Vertescher, David Meger
Cost Adaptation for Robust Decentralized Swarm Behaviour. IROS 2018: 4099-4106 - [c26]Travis Manderson, Ran Cheng, David Meger
Navigation in the Service of Enhanced Pose Estimation. ISER 2018: 687-701 - [c25]Edward J. Smith, Scott Fujimoto, David Meger:
Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation. NeurIPS 2018: 6479-6489 - [i11]Scott Fujimoto, Herke van Hoof, David Meger:
Addressing Function Approximation Error in Actor-Critic Methods. CoRR abs/1802.09477 (2018) - [i10]Edward J. Smith, Scott Fujimoto, David Meger:
3D Object Super-Resolution. CoRR abs/1802.09987 (2018) - [i9]Juan Camilo Gamboa Higuera, David Meger, Gregory Dudek:
Synthesizing Neural Network Controllers with Probabilistic Model based Reinforcement Learning. CoRR abs/1803.02291 (2018) - [i8]Scott Fujimoto, David Meger, Doina Precup:
Off-Policy Deep Reinforcement Learning without Exploration. CoRR abs/1812.02900 (2018) - 2017
- [j3]Travis Manderson, Jimmy Li, Natasha Dudek
Robotic Coral Reef Health Assessment Using Automated Image Analysis. J. Field Robotics 34(1): 170-187 (2017) - [c24]Edward J. Smith, David Meger:
Improved Adversarial Systems for 3D Object Generation and Reconstruction. CoRL 2017: 87-96 - [c23]Juan Camilo Gamboa Higuera, David Meger
Adapting learned robotics behaviours through policy adjustment. ICRA 2017: 5837-5843 - [c22]Jimmy Li, David Meger
Context-coherent scenes of objects for camera pose estimation. IROS 2017: 655-660 - [i7]Edward J. Smith, David Meger:
Improved Adversarial Systems for 3D Object Generation and Reconstruction. CoRR abs/1707.09557 (2017) - [i6]Peter Henderson, Wei-Di Chang, Florian Shkurti, Johanna Hansen, David Meger, Gregory Dudek:
Benchmark Environments for Multitask Learning in Continuous Domains. CoRR abs/1708.04352 (2017) - [i5]Peter Henderson, Riashat Islam, Philip Bachman, Joelle Pineau, Doina Precup, David Meger:
Deep Reinforcement Learning that Matters. CoRR abs/1709.06560 (2017) - [i4]Peter Henderson, Wei-Di Chang, Pierre-Luc Bacon, David Meger, Joelle Pineau, Doina Precup:
OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning. CoRR abs/1709.06683 (2017) - [i3]Peter Henderson, Matthew Vertescher, David Meger, Mark Coates:
Cost Adaptation for Robust Decentralized Swarm Behaviour. CoRR abs/1709.07114 (2017) - [i2]Peter Henderson, Thang Doan, Riashat Islam, David Meger:
Bayesian Policy Gradients via Alpha Divergence Dropout Inference. CoRR abs/1712.02037 (2017) - 2016
- [c21]Jimmy Li, David Meger
Learning to generalize 3D spatial relationships. ICRA 2016: 5744-5749 - 2015
- [c20]Travis Manderson, Jimmy Li, David Cortés Poza, Natasha Dudek, David Meger
Towards Autonomous Robotic Coral Reef Health Assessment. FSR 2015: 95-108 - [c19]David Meger
Learning legged swimming gaits from experience. ICRA 2015: 2332-2338 - 2014
- [c18]Doug Cox, Darren Fairall, Neil MacMillan, Dimitri Marinakis, David Meger
Trajectory Inference Using a Motion Sensing Network. CRV 2014: 159-166 - [c17]David Meger
3D trajectory synthesis and control for a legged swimming robot. IROS 2014: 2257-2264 - 2013
- [c16]Sina Radmard, David Meger
Overcoming unknown occlusions in eye-in-hand visual search. ICRA 2013: 3075-3082 - 2012
- [c15]Sina Radmard, David Meger, Elizabeth A. Croft, James J. Little:
Overcoming occlusions in eye-in-hand visual search. ACC 2012: 4102-4107 - [c14]Michael Stark, Jonathan Krause, Bojan Pepik, David Meger
Fine-Grained Categorization for 3D Scene Understanding. BMVC 2012: 1-12 - [c13]David Meger, James J. Little:
The UBC Visual Robot Survey: A Benchmark for Robot Category Recognition. ISER 2012: 979-991 - 2011
- [c12]David Meger
Explicit Occlusion Reasoning for 3D Object Detection. BMVC 2011: 1-11 - [c11]David Meger, James J. Little:
Mobile 3D object detection in clutter. IROS 2011: 4885-4892 - 2010
- [c10]Scott Helmer, David Meger
Multiple Viewpoint Recognition and Localization. ACCV (1) 2010: 464-477 - [c9]David Meger
Curious George: An Integrated Visual Search Platform. CRV 2010: 107-114 - [c8]David Meger
Viewpoint detection models for sequential embodied object category recognition. ICRA 2010: 5055-5061
2000 – 2009
- 2009
- [c7]Pooja Viswanathan, David Meger
Automated Spatial-Semantic Modeling with Applications to Place Labeling and Informed Search. CRV 2009: 284-291 - [c6]David Meger
Inferring a probability distribution function for the pose of a sensor network using a mobile robot. ICRA 2009: 756-762 - [i1]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:
Semantic Robot Vision Challenge: Current State and Future Directions. CoRR abs/0908.2656 (2009) - 2008
- [j2]David Meger
Curious George: An attentive semantic robot. Robotics Auton. Syst. 56(6): 503-511 (2008) - [c5]Per-Erik Forssén, David Meger
Informed visual search: Combining attention and object recognition. ICRA 2008: 935-942 - [c4]David Meger
Heuristic search planning to reduce exploration uncertainty. IROS 2008: 3392-3399 - 2007
- [c3]Dimitri Marinakis, David Meger, Ioannis M. Rekleitis, Gregory Dudek:
Hybrid Inference for Sensor Network Localization Using a Mobile Robot. AAAI 2007: 1089-1094 - [c2]Scott Helmer, David Meger, Per-Erik Forssén, Tristram Southey, Sancho McCann, Pooyan Fazli, Jim Little, David G. Lowe:
The UBC Semantic Robot Vision System. AAAI 2007: 1983-1984 - 2006
- [j1]Ioannis M. Rekleitis
Simultaneous planning, localization, and mapping in a camera sensor network. Robotics Auton. Syst. 54(11): 921-932 (2006) - [c1]David Meger
Simultaneous Planning, Localization, and Mapping in a Camera Sensor Network. DARS 2006: 155-164
Coauthor Index
[c69] [i52] [c67] [c66] [i49] [i44] [i43] [i42] [i41] [c61] [i39] [i35] [i33] [c59] [c57] [c55] [c54] [c53] [c51] [i32] [i29] [i28] [c50] [c49] [c47] [c46] [c45] [c43] [c40] [i27] [i26] [i22] [i21] [c35] [i16] [i12] [c31] [c28] [c26] [i9] [j3] [c23] [c22] [i6] [c21] [c20] [c19] [c17] [c6] [c4] [c3] [j1] [c1]
Francois Robert Hogan
aka: François Robert Hogan
aka: François Robert Hogan
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:25 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: