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Viorica Patraucean
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2020 – today
- 2023
- [j4]Jannik Kossen, Catalina Cangea, Eszter Vértes, Andrew Jaegle, Viorica Patraucean, Ira Ktena, Nenad Tomasev, Danielle Belgrave:
Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task. Trans. Mach. Learn. Res. 2023 (2023) - [c17]Viorica Patraucean, Lucas Smaira, Ankush Gupta, Adrià Recasens, Larisa Markeeva, Dylan Banarse, Skanda Koppula, Joseph Heyward, Mateusz Malinowski, Yi Yang, Carl Doersch, Tatiana Matejovicova, Yury Sulsky, Antoine Miech, Alexandre Fréchette, Hanna Klimczak, Raphael Koster, Junlin Zhang, Stephanie Winkler, Yusuf Aytar, Simon Osindero, Dima Damen, Andrew Zisserman, João Carreira:
Perception Test: A Diagnostic Benchmark for Multimodal Video Models. NeurIPS 2023 - [i13]Viorica Patraucean, Lucas Smaira, Ankush Gupta, Adrià Recasens Continente, Larisa Markeeva, Dylan Banarse, Skanda Koppula, Joseph Heyward, Mateusz Malinowski, Yi Yang, Carl Doersch, Tatiana Matejovicova, Yury Sulsky, Antoine Miech, Alexandre Fréchette, Hanna Klimczak, Raphael Koster, Junlin Zhang, Stephanie Winkler, Yusuf Aytar, Simon Osindero, Dima Damen, Andrew Zisserman, João Carreira:
Perception Test: A Diagnostic Benchmark for Multimodal Video Models. CoRR abs/2305.13786 (2023) - [i12]João Carreira, Michael King, Viorica Patraucean, Dilara Gokay, Catalin Ionescu, Yi Yang, Daniel Zoran, Joseph Heyward, Carl Doersch, Yusuf Aytar, Dima Damen, Andrew Zisserman:
Learning from One Continuous Video Stream. CoRR abs/2312.00598 (2023) - [i11]Pinelopi Papalampidi, Skanda Koppula, Shreya Pathak, Justin Chiu, Joseph Heyward, Viorica Patraucean, Jiajun Shen, Antoine Miech, Andrew Zisserman, Aida Nematzadeh:
A Simple Recipe for Contrastively Pre-training Video-First Encoders Beyond 16 Frames. CoRR abs/2312.07395 (2023) - [i10]Joseph Heyward, João Carreira, Dima Damen, Andrew Zisserman, Viorica Patraucean:
Perception Test 2023: A Summary of the First Challenge And Outcome. CoRR abs/2312.13090 (2023) - 2022
- [i9]Jannik Kossen, Catalina Cangea, Eszter Vértes, Andrew Jaegle, Viorica Patraucean, Ira Ktena, Nenad Tomasev, Danielle Belgrave:
Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task. CoRR abs/2211.05039 (2022) - 2021
- [c16]Michael Bloesch, Jan Humplik, Viorica Patraucean, Roland Hafner, Tuomas Haarnoja, Arunkumar Byravan, Noah Yamamoto Siegel, Saran Tunyasuvunakool, Federico Casarini, Nathan Batchelor, Francesco Romano, Stefano Saliceti, Martin A. Riedmiller, S. M. Ali Eslami, Nicolas Heess:
Towards Real Robot Learning in the Wild: A Case Study in Bipedal Locomotion. CoRL 2021: 1502-1511 - [c15]Mateusz Malinowski, Dimitrios Vytiniotis, Grzegorz Swirszcz, Viorica Patraucean, João Carreira:
Gradient Forward-Propagation for Large-Scale Temporal Video Modelling. CVPR 2021: 9249-9259 - [c14]Adrià Recasens, Pauline Luc, Jean-Baptiste Alayrac, Luyu Wang, Florian Strub, Corentin Tallec, Mateusz Malinowski, Viorica Patraucean, Florent Altché, Michal Valko, Jean-Bastien Grill, Aäron van den Oord, Andrew Zisserman:
Broaden Your Views for Self-Supervised Video Learning. ICCV 2021: 1235-1245 - [c13]Stefan Daniel Dumitrescu, Petru Rebeja, Beáta Lorincz, Mihaela Gaman, Andrei-Marius Avram, Mihai Ilie, Andrei Pruteanu, Adriana Stan, Lorena Rosia, Cristina Iacobescu, Luciana Morogan, George Dima, Gabriel Marchidan, Traian Rebedea, Madalina Chitez, Dani Yogatama, Sebastian Ruder, Radu Tudor Ionescu, Razvan Pascanu, Viorica Patraucean:
LiRo: Benchmark and leaderboard for Romanian language tasks. NeurIPS Datasets and Benchmarks 2021 - [i8]Adrià Recasens, Pauline Luc, Jean-Baptiste Alayrac, Luyu Wang, Florian Strub, Corentin Tallec, Mateusz Malinowski, Viorica Patraucean, Florent Altché, Michal Valko, Jean-Bastien Grill, Aäron van den Oord, Andrew Zisserman:
Broaden Your Views for Self-Supervised Video Learning. CoRR abs/2103.16559 (2021) - [i7]Mateusz Malinowski, Dimitrios Vytiniotis, Grzegorz Swirszcz, Viorica Patraucean, João Carreira:
Gradient Forward-Propagation for Large-Scale Temporal Video Modelling. CoRR abs/2106.08318 (2021) - 2020
- [c12]Mateusz Malinowski
, Grzegorz Swirszcz, João Carreira, Viorica Patraucean:
Sideways: Depth-Parallel Training of Video Models. CVPR 2020: 11831-11840 - [i6]Mateusz Malinowski, Grzegorz Swirszcz, João Carreira, Viorica Patraucean:
Sideways: Depth-Parallel Training of Video Models. CoRR abs/2001.06232 (2020)
2010 – 2019
- 2018
- [c11]João Carreira, Viorica Patraucean, Laurent Mazaré, Andrew Zisserman, Simon Osindero:
Massively Parallel Video Networks. ECCV (4) 2018: 680-697 - [i5]João Carreira, Viorica Patraucean, Laurent Mazaré, Andrew Zisserman, Simon Osindero:
Massively Parallel Video Networks. CoRR abs/1806.03863 (2018) - 2017
- [j3]Viorica Patraucean, Pierre Gurdjos, Rafael Grompone von Gioi:
Joint A Contrario Ellipse and Line Detection. IEEE Trans. Pattern Anal. Mach. Intell. 39(4): 788-802 (2017) - 2016
- [c10]Ankur Handa, Viorica Patraucean, Vijay Badrinarayanan, Simon Stent, Roberto Cipolla
:
Understanding RealWorld Indoor Scenes with Synthetic Data. CVPR 2016: 4077-4085 - [c9]Ankur Handa, Michael Bloesch, Viorica Patraucean, Simon Stent, John McCormac, Andrew J. Davison:
gvnn: Neural Network Library for Geometric Computer Vision. ECCV Workshops (3) 2016: 67-82 - [c8]Ankur Handa, Viorica Patraucean, Simon Stent, Roberto Cipolla
:
SceneNet: An annotated model generator for indoor scene understanding. ICRA 2016: 5737-5743 - [c7]Moos Hueting, Viorica Patraucean, Maks Ovsjanikov, Niloy J. Mitra:
Scene Structure Inference through Scene Map Estimation. VMV 2016 - [i4]Ankur Handa, Michael Blösch, Viorica Patraucean, Simon Stent, John McCormac, Andrew J. Davison:
gvnn: Neural Network Library for Geometric Computer Vision. CoRR abs/1607.07405 (2016) - 2015
- [j2]Viorica Patraucean, Iro Armeni, Mohammad Nahangi, Jamie Yeung, Ioannis K. Brilakis, Carl T. Haas:
State of research in automatic as-built modelling. Adv. Eng. Informatics 29(2): 162-171 (2015) - [c6]Rafael Grompone von Gioi, Viorica Patraucean:
A contrario patch matching, with an application to keypoint matches validation. ICIP 2015: 946-950 - [c5]Viorica Patraucean, Maks Ovsjanikov:
Affine invariant visual phrases for object instance recognition. MVA 2015: 14-17 - [i3]Ankur Handa, Viorica Patraucean, Vijay Badrinarayanan, Simon Stent, Roberto Cipolla:
SynthCam3D: Semantic Understanding With Synthetic Indoor Scenes. CoRR abs/1505.00171 (2015) - [i2]Viorica Patraucean, Ankur Handa, Roberto Cipolla:
Spatio-temporal video autoencoder with differentiable memory. CoRR abs/1511.06309 (2015) - [i1]Ankur Handa, Viorica Patraucean, Vijay Badrinarayanan, Simon Stent, Roberto Cipolla:
SceneNet: Understanding Real World Indoor Scenes With Synthetic Data. CoRR abs/1511.07041 (2015) - 2014
- [c4]Andrea Giachetti
, E. Mazzi, Francesco Piscitelli, Masaki Aono, A. Ben Hamza
, Thomas Bonis, Peter Claes
, Afzal Godil, Chunyuan Li, Maks Ovsjanikov, Viorica Patraucean, Chang Shu, J. Snyders, Paul Suetens, Atsushi Tatsuma, Dirk Vandermeulen
, Stefanie Wuhrer, Pengcheng Xi:
Automatic Location of Landmarks used in Manual Anthropometry. 3DOR@Eurographics 2014: 93-100 - 2013
- [j1]Maks Ovsjanikov, Quentin Mérigot, Viorica Patraucean, Leonidas J. Guibas:
Shape Matching via Quotient Spaces. Comput. Graph. Forum 32(5): 1-11 (2013) - [c3]Viorica Patraucean, Rafael Grompone von Gioi, Maks Ovsjanikov:
Detection of Mirror-Symmetric Image Patches. CVPR Workshops 2013: 211-216 - 2012
- [b1]Viorica Patraucean:
Detection and identification of elliptical structure arrangements in images: theory and algorithms. (Détection et identification de structures elliptiques en images: Paradigme et algorithmes). National Polytechnic Institute of Toulouse, France, 2012 - [c2]Viorica Patraucean, Pierre Gurdjos, Rafael Grompone von Gioi:
A Parameterless Line Segment and Elliptical Arc Detector with Enhanced Ellipse Fitting. ECCV (2) 2012: 572-585 - 2010
- [c1]Viorica Patraucean, Pierre Gurdjos, Jean Conter:
Bubble Tag Identification Using an Invariant - Under - Perspective Signature. ICPR 2010: 408-411
Coauthor Index
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