End-to-End Weakly-Supervised Semantic Alignment. - Ignacio Rocco; Relja Arandjelovic; Josef Sivic (CVPR, 2018)

Neighbourhood Consensus Networks. - Ignacio Rocco; Mircea Cimpoi; Relja Arandjelovic; Akihiko Torii; Tomás Pajdla; Josef Sivic (NeurIPS, 2018)

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 (CVPR, 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 (ICCV, 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)

Convolutional Neural Network Architecture for Geometric Matching. - Ignacio Rocco; Relja Arandjelovic; Josef Sivic (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Efficient Neighbourhood Consensus Networks via Submanifold Sparse Convolutions. - Ignacio Rocco; Relja Arandjelovic; Josef Sivic (ECCV (9), 2020)

Neural architectures for estimating correspondences between images. (Estimation des correspondances entre images par réseaux de neurones convolutifs). - Ignacio Rocco (2020)

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)

BodyMap: Learning Full-Body Dense Correspondence Map. - Anastasia Ianina; Nikolaos Sarafianos; Yuanlu Xu; Ignacio Rocco; Tony Tung (CVPR, 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 (CVPR, 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)

DynamicStereo: Consistent Dynamic Depth from Stereo Videos. - Nikita Karaev; Ignacio Rocco; Benjamin Graham; Natalia Neverova; Andrea Vedaldi; Christian Rupprecht 001 (CVPR, 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 (CVPR, 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 (ICCV, 2023)

Self-supervised Correspondence Estimation via Multiview Registration. - Mohamed El Banani; Ignacio Rocco; David Novotný; Andrea Vedaldi; Natalia Neverova; Justin Johnson 001; Benjamin Graham (WACV, 2023)

Real-time volumetric rendering of dynamic humans. - Ignacio Rocco; Iurii Makarov; Filippos Kokkinos; David Novotný; Benjamin Graham; Natalia Neverova; Andrea Vedaldi (CoRR, 2023)

BootsTAP: Bootstrapped Training for Tracking-Any-Point. - Carl Doersch; Pauline Luc; Yi Yang 007; Dilara Gokay; Skanda Koppula; Ankush Gupta 001; Joseph Heyward; Ignacio Rocco; Ross Goroshin; João Carreira 001; Andrew Zisserman (ACCV (2), 2024)

CoTracker: It Is Better to Track Together. - Nikita Karaev; Ignacio Rocco; Benjamin Graham; Natalia Neverova; Andrea Vedaldi; Christian Rupprecht 001 (ECCV (62), 2024)

TAPVid-3D: A Benchmark for Tracking Any Point in 3D. - Skanda Koppula; Ignacio Rocco; Yi Yang 007; Joseph Heyward; João Carreira 001; Andrew Zisserman; Gabriel Brostow; Carl Doersch (NeurIPS, 2024)

Scaling 4D Representations. - João Carreira 001; Dilara Gokay; Michael King; Chuhan Zhang; Ignacio Rocco; Aravindh Mahendran; Thomas Keck; Joseph Heyward; Skanda Koppula; Etienne Pot; Goker Erdogan; Yana Hasson; et al. (CoRR, 2024)

TAPNext: Tracking Any Point (TAP) as Next Token Prediction. - Artem Zholus; Carl Doersch; Yi Yang 007; Skanda Koppula; Viorica Patraucean; Xu Owen He; Ignacio Rocco; Mehdi S. M. Sajjadi; Sarath Chandar; Ross Goroshin (CoRR, 2025)

Direct Motion Models for Assessing Generated Videos. - Kelsey R. Allen; Carl Doersch; Guangyao Zhou; Mohammed Suhail; Danny Driess; Ignacio Rocco; Yulia Rubanova; Thomas Kipf; Mehdi S. M. Sajjadi; Kevin Murphy; João Carreira 001; Sjoerd van Steenkiste (CoRR, 2025)