João Carreira

According to our database, João Carreira authored at least 93 papers between 1995 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

Pronghorn: Effective Checkpoint Orchestration for Serverless Hot-Starts.

Sumer Kohli, Shreyas Kharbanda, Rodrigo Bruno, João Carreira, Pedro Fonseca

Proceedings of the Nineteenth European Conference on Computer Systems, 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

Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video.

Shashanka Venkataramanan, Mamshad Nayeem Rizve, João Carreira, Yuki M. Asano, Yannis Avrithis

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

What serverless computing is and should become: the next phase of cloud computing.

Johann Schleier-Smith, Vikram Sreekanti, Anurag Khandelwal, João Carreira, Neeraja Jayant Yadwadkar, Raluca Ada Popa, Joseph E. Gonzalez, Ion Stoica, David A. Patterson

Commun. ACM, 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

Attention-driven tile splitting method for improved efficiency of omnidirectional versatile video coding.

João Carreira, Sérgio M. M. de Faria, Luis M. N. Tavora, Antonio Navarro, Pedro A. Amado Assunção

Proceedings of the 2021 IEEE International Conference on Image Processing, 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

From warm to hot starts: leveraging runtimes for the serverless era.

João Carreira, Sumer Kohli, Rodrigo Bruno, Pedro Fonseca

Proceedings of the HotOS '21: Workshop on Hot Topics in Operating Systems, 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

Complexity Estimation for Load Balancing of 360-Degree Intra Versatile Video Coding.

Jose N. Filipe, João Carreira, Luis M. N. Tavora, Sérgio M. M. de Faria, Antonio Navarro, Pedro A. Amado Assunção

Proceedings of the IEEE Workshop on Signal Processing Systems, 2020

Versatile Video Coding Of 360° Video Using Adaptive Resolution Change.

João Carreira, Sérgio M. M. de Faria, Luis M. N. Tavora, Antonio Navarro, Pedro A. Amado Assunção

Proceedings of the IEEE International Conference on Image Processing, 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

Scalable Coding of 360-degree Video for Streaming Adaptation at 5G Network Edges.

João Carreira, Sérgio M. M. de Faria, Luis M. N. Tavora, Antonio Navarro, Pedro A. Amado Assunção

Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2020

2019

Error Concealment-Aware Encoding for Robust Video Transmission.

João Carreira, Pedro A. Amado Assunção, Sérgio M. M. de Faria, Erhan Ekmekcioglu, Ahmet M. Kondoz

IEEE Trans. Broadcast., 2019

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

João Carreira, Eric Noland, Chloe Hillier, Andrew Zisserman

CoRR, 2019

Cloud Programming Simplified: A Berkeley View on Serverless Computing.

Eric Jonas, Johann Schleier-Smith, Vikram Sreekanti, Chia-che Tsai, Anurag Khandelwal, Qifan Pu, Vaishaal Shankar, João Carreira, Karl Krauth, Neeraja Jayant Yadwadkar, Joseph E. Gonzalez, Raluca Ada Popa, Ion Stoica, David A. Patterson

CoRR, 2019

Versatile Video Coding of 360-Degree Video using Frame-Based FoV and Visual Attention.

João Carreira, Sérgio M. M. de Faria, Luis M. N. Tavora, Antonio Navarro, Pedro A. Amado Assunção

Proceedings of the IEEE International Symposium on Multimedia, 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

Cirrus: a Serverless Framework for End-to-end ML Workflows.

João Carreira, Pedro Fonseca, Alexey Tumanov, Andrew Zhang, Randy H. Katz

Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

2018

Error resilience and concealment techniques for high-efficiency video coding

João Carreira

PhD thesis, 2018

A Two-Stage Approach for Robust HEVC Coding and Streaming.

João Carreira, Pedro A. Amado Assunção, Sérgio M. M. de Faria, Erhan Ekmekcioglu, Ahmet M. Kondoz

IEEE Trans. Circuits Syst. Video Technol., 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

A robust video encoding scheme to enhance error concealment of intra frames.

João Carreira, Pedro A. Amado Assunção, Sérgio M. M. Faria, Erhan Ekmekcioglu, Ahmet M. Kondoz

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Smart photovoltaic systems a cyber-physical systems/IoT approach: Architecture, implementantion and pilot description.

João Murta Pina, João Pedro Oliveira, Carlos Simão, João Carreira, Bruno Carlos, Vera Esquetim

Proceedings of the International Conference on Engineering, Technology and Innovation, 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

Lifting Object Detection Datasets into 3D.

João Carreira, Sara Vicente, Lourdes Agapito, Jorge Batista

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Network Requirements for Resource Disaggregation.

Peter Xiang Gao, Akshay Narayan, Sagar Karandikar, João Carreira, Sangjin Han, Rachit Agarwal, Sylvia Ratnasamy, Scott Shenker

Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation, 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

Free-Form Region Description with Second-Order Pooling.

João Carreira, Rui Caseiro, Jorge Batista, Cristian Sminchisescu

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Shape and Symmetry Induction for 3D Objects.

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

CoRR, 2015

Reference picture selection using checkerboard pattern for resilient video coding.

João Carreira, Pedro Assunção, Sérgio M. M. Faria, Erhan Ekmekcioglu, Ahmet M. Kondoz, H. Lim

Proceedings of the 2015 Visual Communications and Image Processing, 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

2014

Probabilistic Joint Image Segmentation and Labeling by Figure-Ground Composition.

Adrian Ion, João Carreira, Cristian Sminchisescu

Int. J. Comput. Vis., 2014

Pedestrian detection combining RGB and dense LIDAR data.

Cristiano Premebida, João Carreira, Jorge Batista, Urbano Nunes

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Selective motion vector redundancies for improved error resilience in HEVC.

João Carreira, Erhan Ekmekcioglu, Ahmet M. Kondoz, Pedro A. Amado Assunção, Sérgio M. M. Faria, D. Varuna S. X. De Silva

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Dynamic motion vector refreshing for enhanced error resilience in HEVC.

João Carreira, D. Varuna S. X. De Silva, Erhan Ekmekcioglu, Ahmet M. Kondoz, Pedro A. Amado Assunção, Sérgio M. M. Faria

Proceedings of the 22nd European Signal Processing Conference, 2014

Reconstructing PASCAL VOC.

Sara Vicente, João Carreira, Lourdes Agapito, Jorge Batista

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Iterated Second-Order Label Sensitive Pooling for 3D Human Pose Estimation.

Catalin Ionescu, João Carreira, Cristian Sminchisescu

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Beyond Hard Negative Mining: Efficient Detector Learning via Block-Circulant Decomposition.

João F. Henriques, João Carreira, Rui Caseiro, Jorge Batista

Proceedings of the IEEE International Conference on Computer Vision, 2013

Composite Statistical Inference for Semantic Segmentation.

Fuxin Li, João Carreira, Guy Lebanon, Cristian Sminchisescu

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Bottom-up object segmentation for visual recognition.

João Carreira

PhD thesis, 2012

CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts.

João Carreira, Cristian Sminchisescu

IEEE Trans. Pattern Anal. Mach. Intell., 2012

Object Recognition by Sequential Figure-Ground Ranking.

João Carreira, Fuxin Li, Cristian Sminchisescu

Int. J. Comput. Vis., 2012

Semantic Segmentation with Second-Order Pooling.

João Carreira, Rui Caseiro, Jorge P. Batista, Cristian Sminchisescu

Proceedings of the Computer Vision - ECCV 2012, 2012

Frame loss concealment for 3D video decoders based on disparity-compensated motion field.

João Carreira, Pedro Assuncao, Nuno M. M. Rodrigues, Sérgio M. M. de Faria

Proceedings of the 3DTV-Conference 2012: The True Vision, 2012

2011

Subjective quality factors in packet 3D video.

Luís Pinto, João Carreira, Sérgio M. M. de Faria, Nuno M. M. Rodrigues, Pedro A. Amado Assunção

Proceedings of the Third International Workshop on Quality of Multimedia Experience, 2011

Probabilistic Joint Image Segmentation and Labeling.

Adrian Ion, João Carreira, Cristian Sminchisescu

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Image segmentation by figure-ground composition into maximal cliques.

Adrian Ion, João Carreira, Cristian Sminchisescu

Proceedings of the IEEE International Conference on Computer Vision, 2011

2010

Image Segmentation by Discounted Cumulative Ranking on Maximal Cliques

João Carreira, Adrian Ion, Cristian Sminchisescu

CoRR, 2010

Subjective assessment of frame loss concealment methods in 3D video.

João Carreira, Luís Pinto, Nuno M. M. Rodrigues, Sérgio M. M. de Faria, Pedro A. Amado Assunção

Proceedings of the Picture Coding Symposium, 2010

Object recognition as ranking holistic figure-ground hypotheses.

Fuxin Li, João Carreira, Cristian Sminchisescu

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Constrained parametric min-cuts for automatic object segmentation.

João Carreira, Cristian Sminchisescu

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2008

Multicriteria decision analysis (MCDA): Central Porto high-speed railway station.

Ricardo Mateus, J. Antunes Ferreira, João Carreira

Eur. J. Oper. Res., 2008

2007

Retrieving and Exploiting Hand's Orientation in Tabletop Interaction.

João Carreira, Paulo Peixoto

Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

2006

Unraveling Natural Interfaces for Co-Located Groupware: Lessons Learned in an Experiment with Music.

João Carreira, Paulo Peixoto

J. Multim., 2006

A Vision Based Interface for Local Collaborative Music Synthesis.

João Carreira, Paulo Peixoto

Proceedings of the Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2006), 2006

1998

Xception: A Technique for the Experimental Evaluation of Dependability in Modern Computers.

João Carreira, Henrique Madeira, João Gabriel Silva

IEEE Trans. Software Eng., 1998

Why do some (weird) people inject faults?

João Carreira, João Gabriel Silva

ACM SIGSOFT Softw. Eng. Notes, 1998

Computer Science and the Pygmalion Effect.

João Carreira, João Gabriel Silva

Computer, 1998

1997

Implementing Tuple Space with Threads.

João Carreira, João Gabriel Silva, Koen Langendoen, Henri E. Bal

Proceedings of the IASTED International Conference on Parallel and Distributed Systems, 1997

1996

Experimental Assessment of Parallel Systems.

João Gabriel Silva, João Carreira, Henrique Madeira, Diamantino Costa, Francisco Moreira

Proceedings of the Digest of Papers: FTCS-26, 1996

1995

WPVM: parallel computing for the people.

Alexandre Alves, Luís Moura Silva, João Carreira, João Gabriel Silva

Proceedings of the High-Performance Computing and Networking, 1995