Ignacio Rocco

According to our database, Ignacio Rocco authored at least 21 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Scaling 4D Representations.

João Carreira, Dilara Gokay, Michael King, Chuhan Zhang, Ignacio Rocco, Aravindh Mahendran, Thomas Keck, Joseph Heyward, Skanda Koppula, Etienne Pot, Goker Erdogan, Yana Hasson, Yi Yang, Klaus Greff, Guillaume Le Moing, Sjoerd van Steenkiste, Daniel Zoran, Drew A. Hudson, Pedro Vélez, Luisa Polanía, Luke Friedman, Chris Duvarney, Ross Goroshin, Kelsey R. Allen, Jacob C. Walker, Rishabh Kabra, Eric Aboussouan, Jennifer Sun, Thomas Kipf, Carl Doersch, Viorica Patraucean, Dima Damen, Pauline Luc, Mehdi S. M. Sajjadi, Andrew Zisserman

CoRR, 2024

TAPVid-3D: A Benchmark for Tracking Any Point in 3D.

Skanda Koppula, Ignacio Rocco, Yi Yang, Joseph Heyward, João Carreira, Andrew Zisserman, Gabriel Brostow, Carl Doersch

CoRR, 2024

CoTracker: It Is Better to Track Together.

Nikita Karaev, Ignacio Rocco, Benjamin Graham, Natalia Neverova, Andrea Vedaldi, Christian Rupprecht

Proceedings of the Computer Vision - ECCV 2024, 2024

BootsTAP: Bootstrapped Training for Tracking-Any-Point.

Carl Doersch, Pauline Luc, Yi Yang, Dilara Gokay, Skanda Koppula, Ankush Gupta, Joseph Heyward, Ignacio Rocco, Ross Goroshin, João Carreira, Andrew Zisserman

Proceedings of the Computer Vision - ACCV 2024, 2024

2023

Real-time volumetric rendering of dynamic humans.

Ignacio Rocco, Iurii Makarov, Filippos Kokkinos, David Novotný, Benjamin Graham, Natalia Neverova, Andrea Vedaldi

CoRR, 2023

Self-supervised Correspondence Estimation via Multiview Registration.

Mohamed El Banani, Ignacio Rocco, David Novotný, Andrea Vedaldi, Natalia Neverova, Justin Johnson, Benjamin Graham

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Replay: Multi-modal Multi-view Acted Videos for Casual Holography.

Roman Shapovalov, Yanir Kleiman, Ignacio Rocco, David Novotný, Andrea Vedaldi, Changan Chen, Filippos Kokkinos, Benjamin Graham, Natalia Neverova

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories.

Samarth Sinha, Roman Shapovalov, Jeremy Reizenstein, Ignacio Rocco, Natalia Neverova, Andrea Vedaldi, David Novotný

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DynamicStereo: Consistent Dynamic Depth from Stereo Videos.

Nikita Karaev, Ignacio Rocco, Benjamin Graham, Natalia Neverova, Andrea Vedaldi, Christian Rupprecht

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

NCNet: Neighbourhood Consensus Networks for Estimating Image Correspondences.

Ignacio Rocco, Mircea Cimpoi, Relja Arandjelovic, Akihiko Torii, Tomás Pajdla, Josef Sivic

IEEE Trans. Pattern Anal. Mach. Intell., 2022

KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos.

David Novotný, Ignacio Rocco, Samarth Sinha, Alexandre Carlier, Gael Kerchenbaum, Roman Shapovalov, Nikita Smetanin, Natalia Neverova, Benjamin Graham, Andrea Vedaldi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

BodyMap: Learning Full-Body Dense Correspondence Map.

Anastasia Ianina, Nikolaos Sarafianos, Yuanlu Xu, Ignacio Rocco, Tony Tung

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Reconstructing and grounding narrated instructional videos in 3D.

Dimitri Zhukov, Ignacio Rocco, Ivan Laptev, Josef Sivic, Johannes L. Schönberger, Bugra Tekin, Marc Pollefeys

CoRR, 2021

2020

Neural architectures for estimating correspondences between images. (Estimation des correspondances entre images par réseaux de neurones convolutifs).

Ignacio Rocco

PhD thesis, 2020

Efficient Neighbourhood Consensus Networks via Submanifold Sparse Convolutions.

Ignacio Rocco, Relja Arandjelovic, Josef Sivic

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Convolutional Neural Network Architecture for Geometric Matching.

Ignacio Rocco, Relja Arandjelovic, Josef Sivic

IEEE Trans. Pattern Anal. Mach. Intell., 2019

D2-Net: A Trainable CNN for Joint Detection and Description of Local Features.

Mihai Dusmanu, Ignacio Rocco, Tomás Pajdla, Marc Pollefeys, Josef Sivic, Akihiko Torii, Torsten Sattler

CoRR, 2019

Is This the Right Place? Geometric-Semantic Pose Verification for Indoor Visual Localization.

Hajime Taira, Ignacio Rocco, Jirí Sedlár, Masatoshi Okutomi, Josef Sivic, Tomás Pajdla, Torsten Sattler, Akihiko Torii

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

D2-Net: A Trainable CNN for Joint Description and Detection of Local Features.

Mihai Dusmanu, Ignacio Rocco, Tomás Pajdla, Marc Pollefeys, Josef Sivic, Akihiko Torii, Torsten Sattler

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Neighbourhood Consensus Networks.

Ignacio Rocco, Mircea Cimpoi, Relja Arandjelovic, Akihiko Torii, Tomás Pajdla, Josef Sivic

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

End-to-End Weakly-Supervised Semantic Alignment.

Ignacio Rocco, Relja Arandjelovic, Josef Sivic

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018