Liam Paull
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
43
Venues
8
Active years
2011–2025
Best venue rank
A*
Where they publish
Papers
43 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments. | Luke Rowe, Roger Girgis, Anthony Gosselin, Liam Paull, Christopher Pal, Felix Heide |
| 2025 | ICLR | Safety Representations for Safer Policy Learning. | Kaustubh Mani, Vincent Mai, Charlie Gauthier, Annie S. Chen, Samer B. Nashed, Liam Paull |
| 2025 | IROS | Perpetua: Multi-Hypothesis Persistence Modeling for Semi-Static Environments. | Miguel A. Saavedra-Ruiz, Samer B. Nashed, Charlie Gauthier, Liam Paull |
| 2024 | CoRL | CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning. | Luke Rowe, Roger Girgis, Anthony Gosselin, Bruno Carrez, Florian Golemo, Felix Heide, Liam Paull, Christopher Pal |
| 2024 | ICLR | Ghost on the Shell: An Expressive Representation of General 3D Shapes. | Zhen Liu, Yao Feng, Yuliang Xiu, Weiyang Liu, Liam Paull, Michael J. Black, Bernhard Schlkopf |
| 2024 | ICRA | ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning. | Qiao Gu, Ali Kuwajerwala, Sacha Morin, Krishna Murthy Jatavallabhula, Bipasha Sen, Aditya Agarwal, Corban Rivera, William Paul, Kirsty Ellis, Rama Chellappa, Chuang Gan, Celso Miguel de Melo, Joshua B. Tenenbaum, Antonio Torralba, Florian Shkurti, Liam Paull |
| 2023 | AAAI | Estimating Regression Predictive Distributions with Sample Networks. | Ali Harakeh, Jordan Sir Kwang Hu, Naiqing Guan, Steven L. Waslander, Liam Paull |
| 2023 | CVPR | Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss. | Anas Mahmoud, Jordan S. K. Hu, Tianshu Kuai, Ali Harakeh, Liam Paull, Steven L. Waslander |
| 2023 | ICLR | MeshDiffusion: Score-based Generative 3D Mesh Modeling. | Zhen Liu, Yao Feng, Michael J. Black, Derek Nowrouzezahrai, Liam Paull, Weiyang Liu |
| 2023 | ICLR | Robust and Controllable Object-Centric Learning through Energy-based Models. | Ruixiang Zhang, Tong Che, Boris Ivanovic, Renhao Wang, Marco Pavone, Yoshua Bengio, Liam Paull |
| 2023 | IROS | One-4-All: Neural Potential Fields for Embodied Navigation. | Sacha Morin, Miguel A. Saavedra-Ruiz, Liam Paull |
| 2022 | ECCV | Structural Causal 3D Reconstruction. | Weiyang Liu, Zhen Liu, Liam Paull, Adrian Weller, Bernhard Schlkopf |
| 2022 | ICLR | Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation. | Vincent Mai, Kaustubh Mani, Liam Paull |
| 2022 | ICRA | f-Cal: Aleatoric uncertainty quantification for robot perception via calibrated neural regression. | Dhaivat Bhatt, Kaustubh Mani, Dishank Bansal, Krishna Murthy Jatavallabhula, Hanju Lee, Liam Paull |
| 2021 | CoRL | Taskography: Evaluating robot task planning over large 3D scene graphs. | Christopher Agia, Krishna Murthy Jatavallabhula, Mohamed Khodeir, Ondrej Miksik, Vibhav Vineet, Mustafa Mukadam, Liam Paull, Florian Shkurti |
| 2021 | CVPR | Orthogonal Over-Parameterized Training. | Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Liam Paull, Li Xiong, Le Song, Adrian Weller |
| 2021 | ICLR | gradSim: Differentiable simulation for system identification and visuomotor control. | J. Krishna Murthy, Miles Macklin, Florian Golemo, Vikram Voleti, Linda Petrini, Martin Weiss, Breandan Considine, Jrme Parent-Lvesque, Kevin Xie, Kenny Erleben, Liam Paull, Florian Shkurti, Derek Nowrouzezahrai, Sanja Fidler |
| 2021 | IROS | On Assessing the Usefulness of Proxy Domains for Developing and Evaluating Embodied Agents. | Anthony Courchesne, Andrea Censi, Liam Paull |
| 2020 | ICML | Perceptual Generative Autoencoders. | Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio, Liam Paull |
| 2020 | ICRA | ∇SLAM: Dense SLAM meets Automatic Differentiation. | Krishna Murthy Jatavallabhula, Ganesh Iyer, Liam Paull |
| 2020 | IROS | Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents. | Jacopo Tani, Andrea F. Daniele, Gianmarco Bernasconi, Amaury Camus, Aleksandar Petrov, Anthony Courchesne, Bhairav Mehta, Rohit Suri, Tomasz Zaluska, Matthew R. Walter, Emilio Frazzoli, Liam Paull, Andrea Censi |
| 2019 | CoRL | Active Domain Randomization. | Bhairav Mehta, Manfred Diaz, Florian Golemo, Christopher J. Pal, Liam Paull |
| 2019 | ICLR | Perceptual Generative Autoencoders. | Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio, Liam Paull |
| 2019 | ICRA | A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies. | Homanga Bharadhwaj, Zihan Wang, Yoshua Bengio, Liam Paull |
| 2018 | CVPR | Geometric Consistency for Self-Supervised End-to-End Visual Odometry. | Ganesh Iyer, J. Krishna Murthy, Gunshi Gupta, K. Madhava Krishna, Liam Paull |
| 2018 | ICRA | Learning Steering Bounds for Parallel Autonomous Systems. | Alexander Amini, Liam Paull, Thomas Balch, Sertac Karaman, Daniela Rus |
| 2018 | ICRA | Autonomous Vehicle Navigation in Rural Environments Without Detailed Prior Maps. | Teddy Ort, Liam Paull, Daniela Rus |
| 2017 | ICRA | Duckietown: An open, inexpensive and flexible platform for autonomy education and research. | Liam Paull, Jacopo Tani, Heejin Ahn, Javier Alonso-Mora, Luca Carlone, Michal Cp, Yu Fan Chen, Changhyun Choi, Jeff Dusek, Yajun Fang, Daniel Hoehener, Shih-Yuan Liu, Michael Novitzky, Igor Franzoni Okuyama, Jason Pazis, Guy Rosman, Valerio Varricchio, Hsueh-Cheng Wang, Dmitry S. Yershov, Hang Zhao, Michael Benjamin, Christopher Carr, Maria T. Zuber, Sertac Karaman, Emilio Frazzoli, Domitilla Del Vecchio, Daniela Rus, Jonathan P. How, John J. Leonard, Andrea Censi |
| 2017 | IROS | Hybrid control and learning with coresets for autonomous vehicles. | Guy Rosman, Liam Paull, Daniela Rus |
| 2017 | ICRA | Parallel autonomy in automated vehicles: Safe motion generation with minimal intervention. | Wilko Schwarting, Javier Alonso-Mora, Liam Paull, Sertac Karaman, Daniela Rus |
| 2016 | ICRA | A unified resource-constrained framework for graph SLAM. | Liam Paull, Guoquan Huang, John J. Leonard |
| 2016 | IROS | Decoupled, consistent node removal and edge sparsification for graph-based SLAM. | Kevin Eckenhoff, Liam Paull, Guoquan Huang |
| 2016 | IROS | SLAM with objects using a nonparametric pose graph. | Beipeng Mu, Shih-Yuan Liu, Liam Paull, John J. Leonard, Jonathan P. How |
| 2015 | ICRA | Communication-constrained multi-AUV cooperative SLAM. | Liam Paull, Guoquan Huang, Mae L. Seto, John J. Leonard |
| 2015 | IROS | Bridging text spotting and SLAM with junction features. | Hsueh-Cheng Wang, Chelsea Finn, Liam Paull, Michael Kaess, Ruth Rosenholtz, Seth J. Teller, John J. Leonard |
| 2014 | ICRA | Area coverage planning that accounts for pose uncertainty with an AUV seabed surveying application. | Liam Paull, Mae L. Seto, Howard Li |
| 2014 | IROS | Decentralized cooperative trajectory estimation for autonomous underwater vehicles. | Liam Paull, Mae L. Seto, John J. Leonard |
| 2012 | IROS | Efficient map merging using a probabilistic generalized Voronoi diagram. | Sajad Saeedi G., Liam Paull, Michael Trentini, Mae L. Seto, Howard Li |
| 2012 | IROS | Map merging using hough peak matching. | Sajad Saeedi G., Liam Paull, Michael Trentini, Mae L. Seto, Howard Li |
| 2012 | IROS | Sensor driven online coverage planning for autonomous underwater vehicles. | Liam Paull, Sajad Saeedi Gharahbolagh, Mae L. Seto, Howard Li |
| 2012 | IROS | Towards an Ontology for Autonomous Robots. | Liam Paull, Gatan Sverac, Guilherme V. Raffo, Julian Mauricio Angel, Harold Boley, Phillip J. Durst, Wendell Gray, Maki K. Habib, Bao Nguyen, S. Veera Ragavan, Sajad Saeedi G., Ricardo Sanz, Mae L. Seto, Aleksandar Stefanovski, Michael Trentini, Howard Li |
| 2011 | IROS | Multiple robot simultaneous localization and mapping. | Sajad Saeedi G., Liam Paull, Michael Trentini, Howard Li |
| 2011 | IROS | Neural network-based multiple robot Simultaneous Localization and Mapping. | Sajad Saeedi G., Liam Paull, Michael Trentini, Howard Li |