Felipe Codevilla

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    Learned Image Compression for Machine Perception
    • Dec 15, 2021

    Learned Image Compression for Machine Perception

    Felipe Codevilla , Jean Gabriel Simard, Ross Goroshin and Chris Pal Abstract Recent work has shown that learned image compression...
    Autobots: Latent Variable Sequential Set Transformers
    • Jun 16, 2021

    Autobots: Latent Variable Sequential Set Transformers

    Roger Girgis, Florian Golemo, Felipe Codevilla, Jim Aldon D'Souza, Martin Weiss, Samira Ebrahimi Kahou, Felix Heide, Christopher Pal...
    Action-Based Representation Learning for Autonomous Driving
    • Oct 24, 2020

    Action-Based Representation Learning for Autonomous Driving

    Yi Xiao, Felipe Codevilla, Christopher Pal, Antonio M. Lopez. CoRL 2020 Abstract Human drivers produce a vast amount of data which could,...
    Multimodal End-to-End Autonomous Driving
    • Aug 15, 2019

    Multimodal End-to-End Autonomous Driving

    Yi Xiao, Felipe Codevilla, Akhil Gurram, Onay Urfalioglu, Antonio M. López Abstract Autonomous vehicles (AVs) are key for the intelligent...
    Exploring the limitations of behavior cloning for autonomous driving.
    • Apr 30, 2019

    Exploring the limitations of behavior cloning for autonomous driving.

    F Codevilla, E Santana, AM López, A Gaidon ICCV 2019 Abstract Driving requires reacting to a wide variety of complex environment...
    On Offline Evaluation of Vision-based Driving Models
    • Jul 26, 2018

    On Offline Evaluation of Vision-based Driving Models

    Felipe Codevilla, Antonio M. Lopez, Vladlen Koltun, Alexey Dosovitskiy. ECCV 2018 Abstract Autonomous driving models should ideally be...
    End-to-end driving via conditional imitation learning
    • May 16, 2018

    End-to-end driving via conditional imitation learning

    Felipe Codevilla, Matthias Miiller, Antonio López, Vladlen Koltun, Alexey Dosovitskiy. ICRA 2018 Abstract Deep networks trained on...

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