Pierre Sermanet

According to our database1, Pierre Sermanet authored at least 46 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents.
CoRR, 2024

2023
RoboVQA: Multimodal Long-Horizon Reasoning for Robotics.
CoRR, 2023

Video Language Planning.
CoRR, 2023

Robotic Table Tennis: A Case Study into a High Speed Learning System.
CoRR, 2023

Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023


Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023



2022
GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot.
CoRR, 2022

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.
CoRR, 2022

Learning High Speed Precision Table Tennis on a Physical Robot.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022


Inner Monologue: Embodied Reasoning through Planning with Language Models.
Proceedings of the Conference on Robot Learning, 2022

2021
Language Conditioned Imitation Learning Over Unstructured Data.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Learning to Play by Imitating Humans.
CoRR, 2020

Grounding Language in Play.
CoRR, 2020

Motion2Vec: Semi-Supervised Representation Learning from Surgical Videos.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Online Learning of Object Representations by Appearance Space Feature Alignment.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Counting Out Time: Class Agnostic Video Repetition Counting in the Wild.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Online Object Representations with Contrastive Learning.
CoRR, 2019

Wasserstein Dependency Measure for Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Temporal Cycle-Consistency Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning Latent Plans from Play.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018
Learning Actionable Representations from Visual Observations.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Time-Contrastive Networks: Self-Supervised Learning from Video.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Temporal Reasoning in Videos Using Convolutional Gated Recurrent Units.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
Unsupervised Perceptual Rewards for Imitation Learning.
Proceedings of the Robotics: Science and Systems XIII, 2017

Time-Contrastive Networks: Self-Supervised Learning from Multi-view Observation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2015
Attention for Fine-Grained Categorization.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Going deeper with convolutions.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
A Deep Learning Pipeline for Image Understanding and Acoustic Modeling.
PhD thesis, 2014

OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks.
Proceedings of the 2nd International Conference on Learning Representations, 2014

2013
Pedestrian Detection with Unsupervised Multi-stage Feature Learning.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Convolutional neural networks applied to house numbers digit classification.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011
Traffic sign recognition with multi-scale Convolutional Networks.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
Learning Convolutional Feature Hierarchies for Visual Recognition.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009
A multirange architecture for collision-free off-road robot navigation.
J. Field Robotics, 2009

Learning long-range vision for autonomous off-road driving.
J. Field Robotics, 2009

EBLearn: Open-Source Energy-Based Learning in C++.
Proceedings of the ICTAI 2009, 2009

2008
Mapping and planning under uncertainty in mobile robots with long-range perception.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

Deep belief net learning in a long-range vision system for autonomous off-road driving.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

2007
Online Learning for Offroad Robots: Spatial Label Propagation to Learn Long-Range Traversability.
Proceedings of the Robotics: Science and Systems III, 2007

Adaptive long range vision in unstructured terrain.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007


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