Viorica Patraucean

50 papers A* 9B 2Misc 2Journal 29Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Causal Evidence that Language Models use Confidence to Drive Behavior. CoRR Dharshan Kumaran, Nathaniel Daw, Simon Osindero, Petar Velickovic, Viorica Patraucean
2026	J	`jnl`	How do LLMs Compute Verbal Confidence. CoRR Dharshan Kumaran, Arthur Conmy, Federico Barbero, Simon Osindero, Viorica Patraucean, Petar Velickovic
2026	J	`jnl`	Perception Test 2025: Challenge Summary and a Unified VQA Extension. CoRR Joseph Heyward, Nikhil Pathasarathy, Tyler Zhu, Aravindh Mahendran, João Carreira, Dima Damen, Andrew Zisserman, Viorica Patraucean
2026	J	`jnl`	TRecViT: A Recurrent Video Transformer. Trans. Mach. Learn. Res. Viorica Patraucean, Xu Owen He, Joseph Heyward, Chuhan Zhang, Mehdi S. M. Sajjadi, George-Cristian Muraru, Artem Zholus, Mahdi Karami, Ross Goroshin, Yutian Chen, Simon Osindero, João Carreira, Razvan Pascanu
2025	J	`jnl`	Dynamic Reflections: Probing Video Representations with Text Alignment. CoRR Tyler Zhu, Tengda Han, Leonidas J. Guibas, Viorica Patraucean, Maks Ovsjanikov
2025	J	`jnl`	How Overconfidence in Initial Choices and Underconfidence Under Criticism Modulate Change of Mind in Large Language Models. CoRR Dharshan Kumaran, Stephen M. Fleming, Larisa Markeeva, Joe Heyward, Andrea Banino, Mrinal Mathur, Razvan Pascanu, Simon Osindero, Benedetto De Martino, Petar Velickovic, Viorica Patraucean
2025	A*	`conf`	Learning from Streaming Video with Orthogonal Gradients. CVPR Tengda Han, Dilara Gokay, Joseph Heyward, Chuhan Zhang, Daniel Zoran, Viorica Patraucean, João Carreira, Dima Damen, Andrew Zisserman
2025	J	`jnl`	Learning from Streaming Video with Orthogonal Gradients. CoRR Tengda Han, Dilara Gokay, Joseph Heyward, Chuhan Zhang, Daniel Zoran, Viorica Patraucean, João Carreira, Dima Damen, Andrew Zisserman
2025	J	`jnl`	TAPNext: Tracking Any Point (TAP) as Next Token Prediction. CoRR Artem Zholus, Carl Doersch, Yi Yang, Skanda Koppula, Viorica Patraucean, Xu Owen He, Ignacio Rocco, Mehdi S. M. Sajjadi, Sarath Chandar, Ross Goroshin
2025	J	`jnl`	Unique Lives, Shared World: Learning from Single-Life Videos. CoRR Tengda Han, Sayna Ebrahimi, Dilara Gokay, Li Yang Ku, Maks Ovsjanikov, Iva Babukova, Daniel Zoran, Viorica Patraucean, João Carreira, Andrew Zisserman, Dima Damen
2024	A*	`conf`	A Simple Recipe for Contrastively Pre-Training Video-First Encoders Beyond 16 Frames. CVPR Pinelopi Papalampidi, Skanda Koppula, Shreya Pathak, Justin Chiu, Joe Heyward, Viorica Patraucean, Jiajun Shen, Antoine Miech, Andrew Zisserman, Aida Nematzadeh
2024	A*	`conf`	Learning from One Continuous Video Stream. CVPR João Carreira, Michael King, Viorica Patraucean, Dilara Gokay, Catalin Ionescu, Yi Yang, Daniel Zoran, Joseph Heyward, Carl Doersch, Yusuf Aytar, Dima Damen, Andrew Zisserman
2024	J	`jnl`	Perception Test 2024: Challenge Summary and a Novel Hour-Long VideoQA Benchmark. CoRR Joseph Heyward, João Carreira, Dima Damen, Andrew Zisserman, Viorica Patraucean
2024	J	`jnl`	Scaling 4D Representations. CoRR 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 F. Polanía, Luke Friedman, Chris Duvarney, Ross Goroshin, Kelsey R. Allen, Jacob C. Walker, Rishabh Kabra, Eric Aboussouan, Jennifer J. Sun, Thomas Kipf, Carl Doersch, Viorica Patraucean, Dima Damen, Pauline Luc, Mehdi S. M. Sajjadi, Andrew Zisserman
2024	J	`jnl`	TRecViT: A Recurrent Video Transformer. CoRR Viorica Patraucean, Xu Owen He, Joseph Heyward, Chuhan Zhang, Mehdi S. M. Sajjadi, George-Cristian Muraru, Artem Zholus, Mahdi Karami, Ross Goroshin, Yutian Chen, Simon Osindero, João Carreira, Razvan Pascanu
2023	J	`jnl`	A Simple Recipe for Contrastively Pre-training Video-First Encoders Beyond 16 Frames. CoRR Pinelopi Papalampidi, Skanda Koppula, Shreya Pathak, Justin Chiu, Joseph Heyward, Viorica Patraucean, Jiajun Shen, Antoine Miech, Andrew Zisserman, Aida Nematzadeh
2023	J	`jnl`	Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task. Trans. Mach. Learn. Res. Jannik Kossen, Catalina Cangea, Eszter Vértes, Andrew Jaegle, Viorica Patraucean, Ira Ktena, Nenad Tomasev, Danielle Belgrave
2023	J	`jnl`	Learning from One Continuous Video Stream. CoRR João Carreira, Michael King, Viorica Patraucean, Dilara Gokay, Catalin Ionescu, Yi Yang, Daniel Zoran, Joseph Heyward, Carl Doersch, Yusuf Aytar, Dima Damen, Andrew Zisserman
2023	J	`jnl`	Perception Test 2023: A Summary of the First Challenge And Outcome. CoRR Joseph Heyward, João Carreira, Dima Damen, Andrew Zisserman, Viorica Patraucean
2023	A*	`conf`	Perception Test: A Diagnostic Benchmark for Multimodal Video Models. NeurIPS 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
2023	J	`jnl`	Perception Test: A Diagnostic Benchmark for Multimodal Video Models. CoRR 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
2022	J	`jnl`	Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task. CoRR Jannik Kossen, Catalina Cangea, Eszter Vértes, Andrew Jaegle, Viorica Patraucean, Ira Ktena, Nenad Tomasev, Danielle Belgrave
2021	A*	`conf`	Broaden Your Views for Self-Supervised Video Learning. ICCV 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
2021	J	`jnl`	Broaden Your Views for Self-Supervised Video Learning. CoRR 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
2021	A*	`conf`	Gradient Forward-Propagation for Large-Scale Temporal Video Modelling. CVPR Mateusz Malinowski, Dimitrios Vytiniotis, Grzegorz Swirszcz, Viorica Patraucean, João Carreira
2021	J	`jnl`	Gradient Forward-Propagation for Large-Scale Temporal Video Modelling. CoRR Mateusz Malinowski, Dimitrios Vytiniotis, Grzegorz Swirszcz, Viorica Patraucean, João Carreira
2021	—	`conf`	LiRo: Benchmark and leaderboard for Romanian language tasks. NeurIPS Datasets and Benchmarks 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
2021	Misc	`conf`	Towards Real Robot Learning in the Wild: A Case Study in Bipedal Locomotion. CoRL 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
2020	A*	`conf`	Sideways: Depth-Parallel Training of Video Models. CVPR Mateusz Malinowski, Grzegorz Swirszcz, João Carreira, Viorica Patraucean
2020	J	`jnl`	Sideways: Depth-Parallel Training of Video Models. CoRR Mateusz Malinowski, Grzegorz Swirszcz, João Carreira, Viorica Patraucean
2018	—	`conf`	Massively Parallel Video Networks. ECCV (4) João Carreira, Viorica Patraucean, Laurent Mazaré, Andrew Zisserman, Simon Osindero
2018	J	`jnl`	Massively Parallel Video Networks. CoRR João Carreira, Viorica Patraucean, Laurent Mazaré, Andrew Zisserman, Simon Osindero
2017	J	`jnl`	Joint A Contrario Ellipse and Line Detection. IEEE Trans. Pattern Anal. Mach. Intell. Viorica Patraucean, Pierre Gurdjos, Rafael Grompone von Gioi
2016	—	`conf`	Scene Structure Inference through Scene Map Estimation. VMV Moos Hueting, Viorica Patraucean, Maks Ovsjanikov, Niloy J. Mitra
2016	A*	`conf`	SceneNet: An annotated model generator for indoor scene understanding. ICRA Ankur Handa, Viorica Patraucean, Simon Stent, Roberto Cipolla
2016	A*	`conf`	Understanding RealWorld Indoor Scenes with Synthetic Data. CVPR Ankur Handa, Viorica Patraucean, Vijay Badrinarayanan, Simon Stent, Roberto Cipolla
2016	—	`conf`	gvnn: Neural Network Library for Geometric Computer Vision. ECCV Workshops (3) Ankur Handa, Michael Bloesch, Viorica Patraucean, Simon Stent, John McCormac, Andrew J. Davison
2016	J	`jnl`	gvnn: Neural Network Library for Geometric Computer Vision. CoRR Ankur Handa, Michael Blösch, Viorica Patraucean, Simon Stent, John McCormac, Andrew J. Davison
2015	B	`conf`	A contrario patch matching, with an application to keypoint matches validation. ICIP Rafael Grompone von Gioi, Viorica Patraucean
2015	Misc	`conf`	Affine invariant visual phrases for object instance recognition. MVA Viorica Patraucean, Maks Ovsjanikov
2015	J	`jnl`	SceneNet: Understanding Real World Indoor Scenes With Synthetic Data. CoRR Ankur Handa, Viorica Patraucean, Vijay Badrinarayanan, Simon Stent, Roberto Cipolla
2015	J	`jnl`	Spatio-temporal video autoencoder with differentiable memory. CoRR Viorica Patraucean, Ankur Handa, Roberto Cipolla
2015	J	`jnl`	State of research in automatic as-built modelling. Adv. Eng. Informatics Viorica Patraucean, Iro Armeni, Mohammad Nahangi, Jamie Yeung, Ioannis K. Brilakis, Carl T. Haas
2015	J	`jnl`	SynthCam3D: Semantic Understanding With Synthetic Indoor Scenes. CoRR Ankur Handa, Viorica Patraucean, Vijay Badrinarayanan, Simon Stent, Roberto Cipolla
2014	—	`conf`	Automatic Location of Landmarks used in Manual Anthropometry. 3DOR@Eurographics 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
2013	—	`conf`	Detection of Mirror-Symmetric Image Patches. CVPR Workshops Viorica Patraucean, Rafael Grompone von Gioi, Maks Ovsjanikov
2013	J	`jnl`	Shape Matching via Quotient Spaces. Comput. Graph. Forum Maks Ovsjanikov, Quentin Mérigot, Viorica Patraucean, Leonidas J. Guibas
2012	—	`conf`	A Parameterless Line Segment and Elliptical Arc Detector with Enhanced Ellipse Fitting. ECCV (2) Viorica Patraucean, Pierre Gurdjos, Rafael Grompone von Gioi
2012	—	`—`	Detection and identification of elliptical structure arrangements in images: theory and algorithms. (Détection et identification de structures elliptiques en images: Paradigme et algorithmes). Viorica Patraucean
2010	B	`conf`	Bubble Tag Identification Using an Invariant - Under - Perspective Signature. ICPR Viorica Patraucean, Pierre Gurdjos, Jean Conter