João Carreira

According to our database, João Carreira authored at least 43 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

BootsTAP: Bootstrapped Training for Tracking-Any-Point.

Carl Doersch, Yi Yang, Dilara Gokay, Pauline Luc, Skanda Koppula, Ankush Gupta, Joseph Heyward, Ross Goroshin, João Carreira, Andrew Zisserman

CoRR, 2024

2023

Transframer: Arbitrary Frame Prediction with Generative Models.

Charlie Nash, João Carreira, Jacob C. Walker, Iain Barr, Andrew Jaegle, Mateusz Malinowski, Peter W. Battaglia

Trans. Mach. Learn. Res., 2023

Perception Test 2023: A Summary of the First Challenge And Outcome.

Joseph Heyward, João Carreira, Dima Damen, Andrew Zisserman, Viorica Patraucean

CoRR, 2023

Learning from One Continuous Video Stream.

João Carreira, Michael King, Viorica Patraucean, Dilara Gokay, Catalin Ionescu, Yi Yang, Daniel Zoran, Joseph Heyward, Carl Doersch, Yusuf Aytar, Dima Damen, Andrew Zisserman

CoRR, 2023

Zorro: the masked multimodal transformer.

Adrià Recasens, Jason Lin, João Carreira, Andrew Jaegle, Luyu Wang, Jean-Baptiste Alayrac, Pauline Luc, Antoine Miech, Lucas Smaira, Ross Hemsley, Andrew Zisserman

CoRR, 2023

Perception Test: A Diagnostic Benchmark for Multimodal Video Models.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Self-supervised video pretraining yields robust and more human-aligned visual representations.

Nikhil Parthasarathy, S. M. Ali Eslami, João Carreira, Olivier J. Hénaff

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement.

Carl Doersch, Yi Yang, Mel Vecerík, Dilara Gokay, Ankush Gupta, Yusuf Aytar, João Carreira, Andrew Zisserman

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Self-supervised video pretraining yields strong image representations.

Nikhil Parthasarathy, S. M. Ali Eslami, João Carreira, Olivier J. Hénaff

CoRR, 2022

Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods.

Skanda Koppula, Yazhe Li, Evan Shelhamer, Andrew Jaegle, Nikhil Parthasarathy, Relja Arandjelovic, João Carreira, Olivier J. Hénaff

CoRR, 2022

Hierarchical Perceiver.

João Carreira, Skanda Koppula, Daniel Zoran, Adrià Recasens, Catalin Ionescu, Olivier J. Hénaff, Evan Shelhamer, Relja Arandjelovic, Matthew M. Botvinick, Oriol Vinyals, Karen Simonyan, Andrew Zisserman, Andrew Jaegle

CoRR, 2022

TAP-Vid: A Benchmark for Tracking Any Point in a Video.

Carl Doersch, Ankush Gupta, Larisa Markeeva, Adrià Recasens, Lucas Smaira, Yusuf Aytar, João Carreira, Andrew Zisserman, Yi Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

General-purpose, long-context autoregressive modeling with Perceiver AR.

Curtis Hawthorne, Andrew Jaegle, Catalina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew M. Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac, João Carreira, Jesse H. Engel

Proceedings of the International Conference on Machine Learning, 2022

Perceiver IO: A General Architecture for Structured Inputs & Outputs.

Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J. Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira

Proceedings of the Tenth International Conference on Learning Representations, 2022

Towards Learning Universal Audio Representations.

Luyu Wang, Pauline Luc, Yan Wu, Adrià Recasens, Lucas Smaira, Andrew Brock, Andrew Jaegle, Jean-Baptiste Alayrac, Sander Dieleman, João Carreira, Aäron van den Oord

Proceedings of the IEEE International Conference on Acoustics, 2022

Object Discovery and Representation Networks.

Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelovic

Proceedings of the Computer Vision - ECCV 2022, 2022

Input-level Inductive Biases for 3D Reconstruction.

Wang Yifan, Carl Doersch, Relja Arandjelovic, João Carreira, Andrew Zisserman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Compressed Vision for Efficient Video Understanding.

Olivia Wiles, João Carreira, Iain Barr, Andrew Zisserman, Mateusz Malinowski

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

Perceiver: General Perception with Iterative Attention.

Andrew Jaegle, Felix Gimeno, Andy Brock, Oriol Vinyals, Andrew Zisserman, João Carreira

Proceedings of the 38th International Conference on Machine Learning, 2021

Efficient Visual Pretraining with Contrastive Detection.

Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac, Aäron van den Oord, Oriol Vinyals, João Carreira

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Gradient Forward-Propagation for Large-Scale Temporal Video Modelling.

Mateusz Malinowski, Dimitrios Vytiniotis, Grzegorz Swirszcz, Viorica Patraucean, João Carreira

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

A Short Note on the Kinetics-700-2020 Human Action Dataset.

Lucas Smaira, João Carreira, Eric Noland, Ellen Clancy, Amy Wu, Andrew Zisserman

CoRR, 2020

The AVA-Kinetics Localized Human Actions Video Dataset.

Ang Li, Meghana Thotakuri, David A. Ross, João Carreira, Alexander Vostrikov, Andrew Zisserman

CoRR, 2020

Visual Grounding in Video for Unsupervised Word Translation.

Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh, Lucas Smaira, Mateusz Malinowski, João Carreira, Phil Blunsom, Andrew Zisserman

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Sideways: Depth-Parallel Training of Video Models.

Mateusz Malinowski, Grzegorz Swirszcz, João Carreira, Viorica Patraucean

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

A Short Note on the Kinetics-700 Human Action Dataset.

João Carreira, Eric Noland, Chloe Hillier, Andrew Zisserman

CoRR, 2019

Controllable Attention for Structured Layered Video Decomposition.

Jean-Baptiste Alayrac, João Carreira, Relja Arandjelovic, Andrew Zisserman

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Video Action Transformer Network.

Rohit Girdhar, João Carreira, Carl Doersch, Andrew Zisserman

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

The Visual Centrifuge: Model-Free Layered Video Representations.

Jean-Baptiste Alayrac, João Carreira, Andrew Zisserman

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

A Short Note about Kinetics-600.

João Carreira, Eric Noland, Andras Banki-Horvath, Chloe Hillier, Andrew Zisserman

CoRR, 2018

A Better Baseline for AVA.

Rohit Girdhar, João Carreira, Carl Doersch, Andrew Zisserman

CoRR, 2018

Massively Parallel Video Networks.

João Carreira, Viorica Patraucean, Laurent Mazaré, Andrew Zisserman, Simon Osindero

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Learning Category-Specific Deformable 3D Models for Object Reconstruction.

Shubham Tulsiani, Abhishek Kar, João Carreira, Jitendra Malik

IEEE Trans. Pattern Anal. Mach. Intell., 2017

The Kinetics Human Action Video Dataset.

Will Kay, João Carreira, Karen Simonyan, Brian Zhang, Chloe Hillier, Sudheendra Vijayanarasimhan, Fabio Viola, Tim Green, Trevor Back, Paul Natsev, Mustafa Suleyman, Andrew Zisserman

CoRR, 2017

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset.

João Carreira, Andrew Zisserman

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

The three R's of computer vision: Recognition, reconstruction and reorganization.

Jitendra Malik, Pablo Andrés Arbeláez, João Carreira, Katerina Fragkiadaki, Ross B. Girshick, Georgia Gkioxari, Saurabh Gupta, Bharath Hariharan, Abhishek Kar, Shubham Tulsiani

Pattern Recognit. Lett., 2016

Human Pose Estimation with Iterative Error Feedback.

João Carreira, Pulkit Agrawal, Katerina Fragkiadaki, Jitendra Malik

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Shape and Symmetry Induction for 3D Objects.

Shubham Tulsiani, Abhishek Kar, Qixing Huang, João Carreira, Jitendra Malik

CoRR, 2015

Pose Induction for Novel Object Categories.

Shubham Tulsiani, João Carreira, Jitendra Malik

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Amodal Completion and Size Constancy in Natural Scenes.

Abhishek Kar, Shubham Tulsiani, João Carreira, Jitendra Malik

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Learning to See by Moving.

Pulkit Agrawal, João Carreira, Jitendra Malik

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Category-specific object reconstruction from a single image.

Abhishek Kar, Shubham Tulsiani, João Carreira, Jitendra Malik

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Virtual view networks for object reconstruction.

João Carreira, Abhishek Kar, Shubham Tulsiani, Jitendra Malik

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015