Volgen
Ignacio Rocco
Ignacio Rocco
Google DeepMind
Geverifieerd e-mailadres voor google.com - Homepage
Titel
Geciteerd door
Geciteerd door
Jaar
D2-Net: A trainable CNN for joint description and detection of local features
M Dusmanu, I Rocco, T Pajdla, M Pollefeys, J Sivic, A Torii, T Sattler
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
1280*2019
Convolutional neural network architecture for geometric matching
I Rocco, R Arandjelovic, J Sivic
IEEE Transactions on Pattern Analysis and Machine Intelligence 41 (11), 2553 …, 2018
6602018
Convolutional neural network architecture for geometric matching
I Rocco, R Arandjelovic, J Sivic
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, 2017
6602017
Neighbourhood consensus networks
I Rocco, M Cimpoi, R Arandjelović, A Torii, T Pajdla, J Sivic
Advances in neural information processing systems 31, 2018
4712018
End-to-end weakly-supervised semantic alignment
I Rocco, R Arandjelovic, J Sivic
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018, 2018
2032018
Efficient Neighbourhood Consensus Networks via Submanifold Sparse Convolutions
I Rocco, R Arandjelović, J Sivic
European Conference on Computer Vision, 2020
1862020
CoTracker: It is better to track together
N Karaev, I Rocco, B Graham, N Neverova, A Vedaldi, C Rupprecht
arXiv preprint arXiv:2307.07635, 2023
1652023
NCNet: Neighbourhood consensus networks for estimating image correspondences
I Rocco, M Cimpoi, R Arandjelovic, A Torii, T Pajdla, J Sivic
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
862020
Is this the right place? geometric-semantic pose verification for indoor visual localization
H Taira, I Rocco, J Sedlar, M Okutomi, J Sivic, T Pajdla, T Sattler, A Torii
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
552019
RGB-D and thermal sensor fusion-application in person tracking
I Rocco, M Antunes, D Aouada, B Ottersten
International Conference on Computer Vision Theory and Applications 4, 610-617, 2016
19*2016
BodyMap: Learning Full-Body Dense Correspondence Map
A Ianina, N Sarafianos, Y Xu, I Rocco, T Tung
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2022
182022
Dynamicstereo: Consistent dynamic depth from stereo videos
N Karaev, I Rocco, B Graham, N Neverova, A Vedaldi, C Rupprecht
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
122023
Common pets in 3d: Dynamic new-view synthesis of real-life deformable categories
S Sinha, R Shapovalov, J Reizenstein, I Rocco, N Neverova, A Vedaldi, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
122023
BootsTAP: Bootstrapped Training for Tracking-Any-Point
C Doersch, Y Yang, D Gokay, P Luc, S Koppula, A Gupta, J Heyward, ...
arXiv preprint arXiv:2402.00847, 2024
112024
KeyTr: Keypoint transporter for 3d reconstruction of deformable objects in videos
D Novotny, I Rocco, S Sinha, A Carlier, G Kerchenbaum, R Shapovalov, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
102022
Self-supervised Correspondence Estimation via Multiview Registration
ME Banani, I Rocco, D Novotny, A Vedaldi, N Neverova, J Johnson, ...
IEEE/CVF Winter Conference on Applications of Computer Vision 2023, 2022
82022
Real-time volumetric rendering of dynamic humans
I Rocco, I Makarov, F Kokkinos, D Novotny, B Graham, N Neverova, ...
arXiv preprint arXiv:2303.11898, 2023
22023
Replay: Multi-modal multi-view acted videos for casual holography
R Shapovalov, Y Kleiman, I Rocco, D Novotny, A Vedaldi, C Chen, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
22023
TAPVid-3D: A Benchmark for Tracking Any Point in 3D
S Koppula, I Rocco, Y Yang, J Heyward, J Carreira, A Zisserman, ...
arXiv preprint arXiv:2407.05921, 2024
12024
Reconstructing and grounding narrated instructional videos in 3D
D Zhukov, I Rocco, I Laptev, J Sivic, JL Schönberger, B Tekin, M Pollefeys
arXiv preprint arXiv:2109.04409, 2021
2021
Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.
Artikelen 1–20