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Ignacio Rocco
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2020 – today
- 2024
- [i15]Skanda Koppula, Ignacio Rocco, Yi Yang, Joseph Heyward, João Carreira, Andrew Zisserman, Gabriel Brostow, Carl Doersch:
TAPVid-3D: A Benchmark for Tracking Any Point in 3D. CoRR abs/2407.05921 (2024) - 2023
- [c12]Samarth Sinha, Roman Shapovalov, Jeremy Reizenstein, Ignacio Rocco, Natalia Neverova, Andrea Vedaldi, David Novotný:
Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories. CVPR 2023: 4881-4891 - [c11]Nikita Karaev, Ignacio Rocco, Benjamin Graham, Natalia Neverova, Andrea Vedaldi, Christian Rupprecht:
DynamicStereo: Consistent Dynamic Depth from Stereo Videos. CVPR 2023: 13229-13239 - [c10]Roman Shapovalov, Yanir Kleiman, Ignacio Rocco, David Novotný, Andrea Vedaldi, Changan Chen, Filippos Kokkinos, Benjamin Graham, Natalia Neverova:
Replay: Multi-modal Multi-view Acted Videos for Casual Holography. ICCV 2023: 20281-20291 - [c9]Mohamed El Banani, Ignacio Rocco, David Novotný, Andrea Vedaldi, Natalia Neverova, Justin Johnson, Benjamin Graham:
Self-supervised Correspondence Estimation via Multiview Registration. WACV 2023: 1216-1225 - [i14]Ignacio Rocco, Iurii Makarov, Filippos Kokkinos, David Novotný, Benjamin Graham, Natalia Neverova, Andrea Vedaldi:
Real-time volumetric rendering of dynamic humans. CoRR abs/2303.11898 (2023) - [i13]Nikita Karaev, Ignacio Rocco, Benjamin Graham, Natalia Neverova, Andrea Vedaldi, Christian Rupprecht:
DynamicStereo: Consistent Dynamic Depth from Stereo Videos. CoRR abs/2305.02296 (2023) - [i12]Nikita Karaev, Ignacio Rocco, Benjamin Graham, Natalia Neverova, Andrea Vedaldi, Christian Rupprecht:
CoTracker: It is Better to Track Together. CoRR abs/2307.07635 (2023) - [i11]Roman Shapovalov, Yanir Kleiman, Ignacio Rocco, David Novotný, Andrea Vedaldi, Changan Chen, Filippos Kokkinos, Benjamin Graham, Natalia Neverova:
Replay: Multi-modal Multi-view Acted Videos for Casual Holography. CoRR abs/2307.12067 (2023) - 2022
- [j2]Ignacio Rocco
, Mircea Cimpoi
, Relja Arandjelovic
, Akihiko Torii
, Tomás Pajdla, Josef Sivic
:
NCNet: Neighbourhood Consensus Networks for Estimating Image Correspondences. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 1020-1034 (2022) - [c8]David Novotný, Ignacio Rocco, Samarth Sinha, Alexandre Carlier, Gael Kerchenbaum, Roman Shapovalov, Nikita Smetanin, Natalia Neverova, Benjamin Graham, Andrea Vedaldi:
KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos. CVPR 2022: 5585-5594 - [c7]Anastasia Ianina
, Nikolaos Sarafianos, Yuanlu Xu
, Ignacio Rocco, Tony Tung:
BodyMap: Learning Full-Body Dense Correspondence Map. CVPR 2022: 13276-13285 - [i10]Anastasia Ianina, Nikolaos Sarafianos, Yuanlu Xu, Ignacio Rocco, Tony Tung:
BodyMap: Learning Full-Body Dense Correspondence Map. CoRR abs/2205.09111 (2022) - [i9]Samarth Sinha, Roman Shapovalov, Jeremy Reizenstein, Ignacio Rocco, Natalia Neverova, Andrea Vedaldi, David Novotný:
Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories. CoRR abs/2211.03889 (2022) - [i8]Mohamed El Banani, Ignacio Rocco, David Novotný, Andrea Vedaldi, Natalia Neverova, Justin Johnson, Benjamin Graham:
Self-Supervised Correspondence Estimation via Multiview Registration. CoRR abs/2212.03236 (2022) - 2021
- [i7]Dimitri Zhukov, Ignacio Rocco, Ivan Laptev, Josef Sivic, Johannes L. Schönberger, Bugra Tekin, Marc Pollefeys:
Reconstructing and grounding narrated instructional videos in 3D. CoRR abs/2109.04409 (2021) - 2020
- [b1]Ignacio Rocco:
Neural architectures for estimating correspondences between images. (Estimation des correspondances entre images par réseaux de neurones convolutifs). École Normale Supérieure, Paris, France, 2020 - [c6]Ignacio Rocco, Relja Arandjelovic, Josef Sivic:
Efficient Neighbourhood Consensus Networks via Submanifold Sparse Convolutions. ECCV (9) 2020: 605-621 - [i6]Ignacio Rocco, Relja Arandjelovic, Josef Sivic:
Efficient Neighbourhood Consensus Networks via Submanifold Sparse Convolutions. CoRR abs/2004.10566 (2020)
2010 – 2019
- 2019
- [j1]Ignacio Rocco
, Relja Arandjelovic
, Josef Sivic:
Convolutional Neural Network Architecture for Geometric Matching. IEEE Trans. Pattern Anal. Mach. Intell. 41(11): 2553-2567 (2019) - [c5]Mihai Dusmanu, Ignacio Rocco, Tomás Pajdla, Marc Pollefeys
, Josef Sivic, Akihiko Torii, Torsten Sattler:
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features. CVPR 2019: 8092-8101 - [c4]Hajime Taira, Ignacio Rocco, Jirí Sedlár
, Masatoshi Okutomi, Josef Sivic, Tomás Pajdla, Torsten Sattler, Akihiko Torii:
Is This the Right Place? Geometric-Semantic Pose Verification for Indoor Visual Localization. ICCV 2019: 4372-4382 - [i5]Mihai Dusmanu, Ignacio Rocco, Tomás Pajdla, Marc Pollefeys, Josef Sivic, Akihiko Torii, Torsten Sattler:
D2-Net: A Trainable CNN for Joint Detection and Description of Local Features. CoRR abs/1905.03561 (2019) - [i4]Hajime Taira, Ignacio Rocco, Jirí Sedlár, Masatoshi Okutomi, Josef Sivic, Tomás Pajdla, Torsten Sattler, Akihiko Torii:
Is This The Right Place? Geometric-Semantic Pose Verification for Indoor Visual Localization. CoRR abs/1908.04598 (2019) - 2018
- [c3]Ignacio Rocco, Relja Arandjelovic, Josef Sivic:
End-to-End Weakly-Supervised Semantic Alignment. CVPR 2018: 6917-6925 - [c2]Ignacio Rocco, Mircea Cimpoi, Relja Arandjelovic, Akihiko Torii, Tomás Pajdla, Josef Sivic:
Neighbourhood Consensus Networks. NeurIPS 2018: 1658-1669 - [i3]Ignacio Rocco, Mircea Cimpoi, Relja Arandjelovic, Akihiko Torii, Tomás Pajdla, Josef Sivic:
Neighbourhood Consensus Networks. CoRR abs/1810.10510 (2018) - 2017
- [c1]Ignacio Rocco, Relja Arandjelovic, Josef Sivic:
Convolutional Neural Network Architecture for Geometric Matching. CVPR 2017: 39-48 - [i2]Ignacio Rocco, Relja Arandjelovic, Josef Sivic:
Convolutional neural network architecture for geometric matching. CoRR abs/1703.05593 (2017) - [i1]Ignacio Rocco, Relja Arandjelovic, Josef Sivic:
End-to-end weakly-supervised semantic alignment. CoRR abs/1712.06861 (2017)
Coauthor Index
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last updated on 2024-08-13 21:50 CEST by the dblp team
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