Liam Paull

Liam Paull

Université de Montréal

H-index: 36

North America-Canada

About Liam Paull

Liam Paull, With an exceptional h-index of 36 and a recent h-index of 29 (since 2020), a distinguished researcher at Université de Montréal, specializes in the field of Robotics, perception, estimation, learning for robotics.

His recent articles reflect a diverse array of research interests and contributions to the field:

BACS: Background Aware Continual Semantic Segmentation

Rethinking Teacher-Student Curriculum Learning through the Cooperative Mechanics of Experience

CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning

Estimating regression predictive distributions with sample networks

Multi-agent reinforcement learning for fast-timescale demand response of residential loads

Meshdiffusion: Score-based generative 3d mesh modeling

Ghost on the Shell: An Expressive Representation of General 3D Shapes

Conceptfusion: Open-set multimodal 3d mapping

Liam Paull Information

University

Position

Assistant Professor -

Citations(all)

4940

Citations(since 2020)

3579

Cited By

2612

hIndex(all)

36

hIndex(since 2020)

29

i10Index(all)

60

i10Index(since 2020)

59

Email

University Profile Page

Université de Montréal

Google Scholar

View Google Scholar Profile

Liam Paull Skills & Research Interests

Robotics

perception

estimation

learning for robotics

Top articles of Liam Paull

Title

Journal

Author(s)

Publication Date

BACS: Background Aware Continual Semantic Segmentation

arXiv preprint arXiv:2404.13148

Mostafa ElAraby

Ali Harakeh

Liam Paull

2024/4/19

Rethinking Teacher-Student Curriculum Learning through the Cooperative Mechanics of Experience

arXiv preprint arXiv:2404.03084

Manfred Diaz

Liam Paull

Andrea Tacchetti

2024/4/3

CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning

arXiv preprint arXiv:2403.19918

Luke Rowe

Roger Girgis

Anthony Gosselin

Bruno Carrez

Florian Golemo

...

2024/3/29

Estimating regression predictive distributions with sample networks

Proceedings of the AAAI Conference on Artificial Intelligence

Ali Harakeh

Jordan Sir Kwang Hu

Naiqing Guan

Steven Waslander

Liam Paull

2023/6/26

Multi-agent reinforcement learning for fast-timescale demand response of residential loads

Machine Learning

Vincent Mai

Philippe Maisonneuve

Tianyu Zhang

Hadi Nekoei

Liam Paull

...

2023/11/28

Meshdiffusion: Score-based generative 3d mesh modeling

Zhen Liu

Yao Feng

Michael J Black

Derek Nowrouzezahrai

Liam Paull

...

2023

Ghost on the Shell: An Expressive Representation of General 3D Shapes

Zhen Liu

Yao Feng

Yuliang Xiu

Weiyang Liu

Liam Paull

...

2024

Conceptfusion: Open-set multimodal 3d mapping

arXiv preprint arXiv:2302.07241

Krishna Murthy Jatavallabhula

Alihusein Kuwajerwala

Qiao Gu

Mohd Omama

Tao Chen

...

2023/2/14

One-4-all: Neural potential fields for embodied navigation

Sacha Morin

Miguel Saavedra-Ruiz

Liam Paull

2023/10/1

Self-supervised image-to-point distillation via semantically tolerant contrastive loss

Anas Mahmoud

Jordan SK Hu

Tianshu Kuai

Ali Harakeh

Liam Paull

...

2023

Conceptgraphs: Open-vocabulary 3d scene graphs for perception and planning

arXiv preprint arXiv:2309.16650

Qiao Gu

Alihusein Kuwajerwala

Sacha Morin

Krishna Murthy Jatavallabhula

Bipasha Sen

...

2023/9/28

Driving SMARTS Competition at NeurIPS 2022: Insights and Outcome

Amir Rasouli

Soheil Alizadeh

Iuliia Kotseruba

Yi Ma

Hebin Liang

...

2023/8/31

GROOD: GRadient-aware Out-Of-Distribution detection in interpolated manifolds

arXiv preprint arXiv:2312.14427

Mostafa ElAraby

Sabyasachi Sahoo

Yann Pequignot

Paul Novello

Liam Paull

2023/12/22

Structural causal 3d reconstruction

Weiyang Liu

Zhen Liu

Liam Paull

Adrian Weller

Bernhard Schölkopf

2022

Taskography: Evaluating robot task planning over large 3d scene graphs

Christopher Agia

Krishna Murthy Jatavallabhula

Mohamed Khodeir

Ondrej Miksik

Vibhav Vineet

...

2022/1/11

Robust and controllable object-centric learning through energy-based models

arXiv preprint arXiv:2210.05519

Ruixiang Zhang

Tong Che

Boris Ivanovic

Renhao Wang

Marco Pavone

...

2022/10/11

Sample efficient deep reinforcement learning via uncertainty estimation

arXiv preprint arXiv:2201.01666

Vincent Mai

Kaustubh Mani

Liam Paull

2022/1/5

Lifelong topological visual navigation

IEEE Robotics and Automation Letters

Rey Reza Wiyatno

Anqi Xu

Liam Paull

2022/7/7

Monocular robot navigation with self-supervised pretrained vision transformers

Miguel Saavedra-Ruiz

Sacha Morin

Liam Paull

2022/5/31

f-Cal: Aleatoric uncertainty quantification for robot perception via calibrated neural regression

Dhaivat Bhatt

Kaustubh Mani

Dishank Bansal

Krishna Murthy

Hanju Lee

...

2022/5/23

See List of Professors in Liam Paull University(Université de Montréal)

Co-Authors

H-index: 143
Daniela Rus

Daniela Rus

Massachusetts Institute of Technology

H-index: 101
Jonathan P. How

Jonathan P. How

Massachusetts Institute of Technology

H-index: 82
John Leonard

John Leonard

Massachusetts Institute of Technology

H-index: 59
Sertac Karaman

Sertac Karaman

Massachusetts Institute of Technology

H-index: 52
Liuchen Chang

Liuchen Chang

University of New Brunswick

H-index: 41
Javier Alonso-Mora

Javier Alonso-Mora

Technische Universiteit Delft

academic-engine