@ Willow - Inria Paris

> Computer Vision and Robotics_

I am a PhD Candidate in Computer Vision and Robotics at Inria Paris/DI ENS, working at Willow research team under the supervision of Ivan Laptev and Cordelia Schmid.

I love learning about Computer Science topics and currently I spend my time teaching robots to perceive and act.

Interests:

Deep learning, robotics, computer vision, natural language processing

Professional Experience:

PhD Candidate
Inria Paris | 2021 - 2025
Research Engineer
Inria Grenoble | Jul 2019 - Aug 2021
Research Assistant
DLR - Munich | 2017 - 2018

Education:

PhD Computer Science
ENS-PSL | 2021 - 2024
MS Informatics - Exchange
TU München | 2016 - 2017
MEng Electrical Engineering
TU Madrid | 2015 - 2016
BE Electrical Engineering
TU Madrid | 2011 - 2015

Recent Publications

Towards Generalizable Vision-Language Robotic Manipulation: A Benchmark and LLM-guided 3D Policy

Preprint

Ricardo Garcia*, Shizhe Chen*, Cordelia Schmid

sugar_paper


SUGAR: Pre-training 3D Visual Representation for Robotics

CVPR 2024

Shizhe Chen, Ricardo Garcia, Ivan Laptev, Cordelia Schmid

sugar_paper


PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation

CoRL 2023

Shizhe Chen*, Ricardo Garcia*, Cordelia Schmid, Ivan Laptev

polarnet_paper


Robust visual sim-to-real transfer for robotic manipulation

IROS 2023

Ricardo Garcia, Robin Strudel, Shizhe Chen, Etienne Arlaud, Ivan Laptev, Cordelia Schmid

robust_s2r_paper


Instruction-driven history-aware policies for robotic manipulations

CoRL 2022 - Oral

Pierre-Louis Guhur, Shizhe Chen, Ricardo Garcia, Makarand Tapaswi, Ivan Laptev, Cordelia Schmid

hiveformer_paper


Segmenter: Transformer for Semantic Segmentation

ICCV 2021

Robin Strudel*, Ricardo Garcia*, Ivan Laptev, Cordelia Schmid

segmenter_paper


Learning Obstacle Representations for Neural Motion Planning

CoRL 2020

Robin Strudel, Ricardo Garcia, Justin Carpentier, Jean-Paul Laumond, Ivan Laptev, Cordelia Schmid

nmp_repr_paper


DeepIG: Multi-Robot Information Gathering with Deep Reinforcement Learning

IEEE RA-L 2019

Alberto Viseras*, Ricardo Garcia*

deepig_paper

*Equal Contribution

Teaching

Object Recognition and Computer Vision 2024, Teacher Assistant - Master level (MVA) - 50 hours - ENS Paris-Saclay

Object Recognition and Computer Vision 2023, Teacher Assistant - Master level (MVA) - 50 hours - ENS Paris-Saclay

Object Recognition and Computer Vision 2022, Teacher Assistant - Master level (MVA) - 50 hours - ENS Paris-Saclay

Object Recognition and Computer Vision 2021, Project Advisor - Master level (MVA) - ENS Paris-Saclay

Services

Conference Reviewer

ACCV 2024, CoRL 2024, ECCV 2024, CVPR 2024, ICCV 2023, IROS 2023, CVPR 2023

Journal Reviewer

IEEE Robotics and Automation Letters (RA-L)

International Journal of Computer Vision (IJCV)

IEEE Transactions on Knowledge and Data Engineering (TKDE)

IEEE Transactions on Image Processing (TIP)

Others

Co-chair at IROS 2023 - Learning for Manipulation I oral session