João Carreira

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 85

Top Venues

University of Bonn (PHD)

Education History

University of Bonn

PHD

Publications

Sumer Kohli, Shreyas Kharbanda, Rodrigo Bruno, João Carreira, Pedro Fonseca
Pronghorn: Effective Checkpoint Orchestration for Serverless Hot-Starts. EuroSys (2024)
Carl Doersch, Yi Yang, Dilara Gokay, Pauline Luc, Skanda Koppula, Ankush Gupta, Joseph Heyward, Ross Goroshin, João Carreira, Andrew Zisserman
BootsTAP: Bootstrapped Training for Tracking-Any-Point. CoRR (2024)
Shashanka Venkataramanan, Mamshad Nayeem Rizve, João Carreira, Yuki M. Asano, Yannis Avrithis
Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video. CoRR (2023)
Joseph Heyward, João Carreira, Dima Damen, Andrew Zisserman, Viorica Patraucean
Perception Test 2023: A Summary of the First Challenge And Outcome. CoRR (2023)
Carl Doersch, Yi Yang, Mel Vecerík, Dilara Gokay, Ankush Gupta, Yusuf Aytar, João Carreira, Andrew Zisserman
TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement. ICCV (2023)
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, Alex Frechette, 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 (2023)
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)
Carl Doersch, Yi Yang, Mel Vecerík, Dilara Gokay, Ankush Gupta, Yusuf Aytar, João Carreira, Andrew Zisserman
TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement. CoRR (2023)
Nikhil Parthasarathy, S. M. Ali Eslami, João Carreira, Olivier J. Hénaff
Self-supervised video pretraining yields robust and more human-aligned visual representations. NeurIPS (2023)
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 (2023)
Adrià Recasens, Jason Lin, João Carreira, Andrew Jaegle, Luyu Wang, Jean-Baptiste Alayrac, Pauline Luc, Antoine Miech, Lucas Smaira, Ross Hemsley, Andrew Zisserman
Zorro: the masked multimodal transformer. CoRR (2023)
Charlie Nash, João Carreira, Jacob C. Walker, Iain Barr, Andrew Jaegle, Mateusz Malinowski, Peter W. Battaglia
Transframer: Arbitrary Frame Prediction with Generative Models. Trans. Mach. Learn. Res. 2023 (2023)
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
Towards Learning Universal Audio Representations. ICASSP (2022)
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
Perceiver IO: A General Architecture for Structured Inputs & Outputs. ICLR (2022)
João Carreira, Skanda Koppula, Daniel Zoran, Adrià Recasens, Catalin Ionescu, Olivier J. Hénaff, Evan Shelhamer, Relja Arandjelovic, Matthew Botvinick, Oriol Vinyals, Karen Simonyan, Andrew Zisserman, Andrew Jaegle
Hierarchical Perceiver. CoRR (2022)
Olivia Wiles, João Carreira, Iain Barr, Andrew Zisserman, Mateusz Malinowski
Compressed Vision for Efficient Video Understanding. CoRR (2022)
Skanda Koppula, Yazhe Li, Evan Shelhamer, Andrew Jaegle, Nikhil Parthasarathy, Relja Arandjelovic, João Carreira, Olivier J. Hénaff
Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods. CoRR (2022)
Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelovic
Object discovery and representation networks. CoRR (2022)
Olivia Wiles, João Carreira, Iain Barr, Andrew Zisserman, Mateusz Malinowski
Compressed Vision for Efficient Video Understanding. ACCV (7) (2022)
Carl Doersch, Ankush Gupta, Larisa Markeeva, Adrià Recasens, Lucas Smaira, Yusuf Aytar, João Carreira, Andrew Zisserman, Yi Yang
TAP-Vid: A Benchmark for Tracking Any Point in a Video. NeurIPS (2022)
Wang Yifan, Carl Doersch, Relja Arandjelovic, João Carreira, Andrew Zisserman
Input-level Inductive Biases for 3D Reconstruction. CVPR (2022)
Curtis Hawthorne, Andrew Jaegle, Catalina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac, João Carreira, Jesse H. Engel
General-purpose, long-context autoregressive modeling with Perceiver AR. CoRR (2022)
Carl Doersch, Ankush Gupta, Larisa Markeeva, Adrià Recasens, Lucas Smaira, Yusuf Aytar, João Carreira, Andrew Zisserman, Yi Yang
TAP-Vid: A Benchmark for Tracking Any Point in a Video. CoRR (2022)
Nikhil Parthasarathy, S. M. Ali Eslami, João Carreira, Olivier J. Hénaff
Self-supervised video pretraining yields strong image representations. CoRR (2022)
Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelovic
Object Discovery and Representation Networks. ECCV (27) (2022)
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
General-purpose, long-context autoregressive modeling with Perceiver AR. ICML (2022)
Charlie Nash, João Carreira, Jacob Walker, Iain Barr, Andrew Jaegle, Mateusz Malinowski, Peter W. Battaglia
Transframer: Arbitrary Frame Prediction with Generative Models. CoRR (2022)
Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac, Aäron van den Oord, Oriol Vinyals, João Carreira
Efficient Visual Pretraining with Contrastive Detection. CoRR (2021)
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
Towards Learning Universal Audio Representations. CoRR (2021)
Wang Yifan, Carl Doersch, Relja Arandjelovic, João Carreira, Andrew Zisserman
Input-level Inductive Biases for 3D Reconstruction. CoRR (2021)
João Carreira, Sumer Kohli, Rodrigo Bruno, Pedro Fonseca
From warm to hot starts: leveraging runtimes for the serverless era. HotOS (2021)
Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac, Aäron van den Oord, Oriol Vinyals, João Carreira
Efficient Visual Pretraining with Contrastive Detection. ICCV (2021)
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
Perceiver IO: A General Architecture for Structured Inputs & Outputs. CoRR (2021)
Mateusz Malinowski, Dimitrios Vytiniotis, Grzegorz Swirszcz, Viorica Patraucean, João Carreira
Gradient Forward-Propagation for Large-Scale Temporal Video Modelling. CoRR (2021)
Andrew Jaegle, Felix Gimeno, Andy Brock, Oriol Vinyals, Andrew Zisserman, João Carreira
Perceiver: General Perception with Iterative Attention. ICML (2021)
Johann Schleier-Smith, Vikram Sreekanti, Anurag Khandelwal, João Carreira, Neeraja Jayant Yadwadkar, Raluca Ada Popa, Joseph E. Gonzalez, Ion Stoica, David A. Patterson
What serverless computing is and should become: the next phase of cloud computing. Commun. ACM 64 (5) (2021)
Mateusz Malinowski, Dimitrios Vytiniotis, Grzegorz Swirszcz, Viorica Patraucean, João Carreira
Gradient Forward-Propagation for Large-Scale Temporal Video Modelling. CVPR (2021)
Andrew Jaegle, Felix Gimeno, Andrew Brock, Andrew Zisserman, Oriol Vinyals, João Carreira
Perceiver: General Perception with Iterative Attention. CoRR (2021)
Jose N. Filipe, João Carreira, Luis M. N. Tavora, Sérgio M. M. de Faria, Antonio Navarro, Pedro A. Amado Assunção
Complexity Estimation for Load Balancing of 360-Degree Intra Versatile Video Coding. SiPS (2020)
Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh, Lucas Smaira, Mateusz Malinowski, João Carreira, Phil Blunsom, Andrew Zisserman
Visual Grounding in Video for Unsupervised Word Translation. CoRR (2020)
Mateusz Malinowski, Grzegorz Swirszcz, João Carreira, Viorica Patraucean
Sideways: Depth-Parallel Training of Video Models. CVPR (2020)
Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh, Lucas Smaira, Mateusz Malinowski, João Carreira, Phil Blunsom, Andrew Zisserman
Visual Grounding in Video for Unsupervised Word Translation. CVPR (2020)
João Carreira, Sérgio M. M. de Faria, Luis M. N. Tavora, Antonio Navarro, Pedro A. Amado Assunção
Versatile Video Coding Of 360° Video Using Adaptive Resolution Change. ICIP (2020)
Mateusz Malinowski, Grzegorz Swirszcz, João Carreira, Viorica Patraucean
Sideways: Depth-Parallel Training of Video Models. CoRR (2020)
Lucas Smaira, João Carreira, Eric Noland, Ellen Clancy, Amy Wu, Andrew Zisserman
A Short Note on the Kinetics-700-2020 Human Action Dataset. CoRR (2020)
Ang Li, Meghana Thotakuri, David A. Ross, João Carreira, Alexander Vostrikov, Andrew Zisserman
The AVA-Kinetics Localized Human Actions Video Dataset. CoRR (2020)
Jean-Baptiste Alayrac, João Carreira, Relja Arandjelovic, Andrew Zisserman
Controllable Attention for Structured Layered Video Decomposition. CoRR (2019)
Jean-Baptiste Alayrac, João Carreira, Andrew Zisserman
The Visual Centrifuge: Model-Free Layered Video Representations. CVPR (2019)
Jean-Baptiste Alayrac, João Carreira, Relja Arandjelovic, Andrew Zisserman
Controllable Attention for Structured Layered Video Decomposition. ICCV (2019)
João Carreira, Pedro Fonseca, Alexey Tumanov, Andrew Zhang, Randy H. Katz
Cirrus: a Serverless Framework for End-to-end ML Workflows. SoCC (2019)
João Carreira, Sérgio M. M. de Faria, Luis M. N. Tavora, Antonio Navarro, Pedro A. Amado Assunção
Versatile Video Coding of 360-Degree Video using Frame-Based FoV and Visual Attention. ISM (2019)
Rohit Girdhar, João Carreira, Carl Doersch, Andrew Zisserman
Video Action Transformer Network. CVPR (2019)
João Carreira, Eric Noland, Chloe Hillier, Andrew Zisserman
A Short Note on the Kinetics-700 Human Action Dataset. CoRR (2019)
João Carreira, Pedro A. Amado Assunção, Sérgio M. M. de Faria, Erhan Ekmekcioglu, Ahmet M. Kondoz
Error Concealment-Aware Encoding for Robust Video Transmission. IEEE Trans. Broadcast. 65 (2) (2019)
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
Cloud Programming Simplified: A Berkeley View on Serverless Computing. CoRR (2019)
Rohit Girdhar, João Carreira, Carl Doersch, Andrew Zisserman
A Better Baseline for AVA. CoRR (2018)
Jean-Baptiste Alayrac, João Carreira, Andrew Zisserman
The Visual Centrifuge: Model-Free Layered Video Representations. CoRR (2018)
Rohit Girdhar, João Carreira, Carl Doersch, Andrew Zisserman
Video Action Transformer Network. CoRR (2018)
João Carreira, Eric Noland, Andras Banki-Horvath, Chloe Hillier, Andrew Zisserman
A Short Note about Kinetics-600. CoRR (2018)
João Carreira, Pedro A. Amado Assunção, Sérgio M. M. de Faria, Erhan Ekmekcioglu, Ahmet M. Kondoz
A Two-Stage Approach for Robust HEVC Coding and Streaming. IEEE Trans. Circuits Syst. Video Technol. 28 (8) (2018)
João Carreira, Viorica Patraucean, Laurent Mazaré, Andrew Zisserman, Simon Osindero
Massively Parallel Video Networks. ECCV (4) (2018)
João Carreira, Viorica Patraucean, Laurent Mazaré, Andrew Zisserman, Simon Osindero
Massively Parallel Video Networks. CoRR (2018)
João Carreira, Pedro A. Amado Assunção, Sérgio M. M. Faria, Erhan Ekmekcioglu, Ahmet M. Kondoz
A robust video encoding scheme to enhance error concealment of intra frames. ISCAS (2017)
Shubham Tulsiani, Abhishek Kar, João Carreira, Jitendra Malik
Learning Category-Specific Deformable 3D Models for Object Reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. 39 (4) (2017)
João Murta Pina, João Pedro Oliveira, Carlos Simão, João Carreira, Bruno Carlos, Vera Esquetim
Smart photovoltaic systems a cyber-physical systems/IoT approach: Architecture, implementantion and pilot description. ICE/ITMC (2017)
João Carreira, Andrew Zisserman
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset. CVPR (2017)
Will Kay, João Carreira, Karen Simonyan, Brian Zhang, Chloe Hillier, Sudheendra Vijayanarasimhan, Fabio Viola, Tim Green, Trevor Back, Paul Natsev, Mustafa Suleyman, Andrew Zisserman
The Kinetics Human Action Video Dataset. CoRR (2017)
João Carreira, Andrew Zisserman
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset. CoRR (2017)
Peter Xiang Gao, Akshay Narayan, Sagar Karandikar, João Carreira, Sangjin Han, Rachit Agarwal, Sylvia Ratnasamy, Scott Shenker
Network Requirements for Resource Disaggregation. OSDI (2016)
João Carreira, Pulkit Agrawal, Katerina Fragkiadaki, Jitendra Malik
Human Pose Estimation with Iterative Error Feedback. CVPR (2016)
Jitendra Malik, Pablo Andrés Arbeláez, João Carreira, Katerina Fragkiadaki, Ross B. Girshick, Georgia Gkioxari, Saurabh Gupta, Bharath Hariharan, Abhishek Kar, Shubham Tulsiani
The three R's of computer vision: Recognition, reconstruction and reorganization. Pattern Recognit. Lett. 72 (2016)
João Carreira, Sara Vicente, Lourdes Agapito, Jorge Batista
Lifting Object Detection Datasets into 3D. IEEE Trans. Pattern Anal. Mach. Intell. 38 (7) (2016)
João Carreira, Pedro Assunção, Sérgio M. M. Faria, Erhan Ekmekcioglu, Ahmet M. Kondoz, H. Lim
Reference picture selection using checkerboard pattern for resilient video coding. VCIP (2015)
João Carreira, Sara Vicente, Lourdes Agapito, Jorge Batista
Lifting Object Detection Datasets into 3D. CoRR (2015)
João Carreira, Pulkit Agrawal, Katerina Fragkiadaki, Jitendra Malik
Human Pose Estimation with Iterative Error Feedback. CoRR (2015)
Pulkit Agrawal, João Carreira, Jitendra Malik
Learning to See by Moving. CoRR (2015)
Abhishek Kar, Shubham Tulsiani, João Carreira, Jitendra Malik
Amodal Completion and Size Constancy in Natural Scenes. ICCV (2015)
Shubham Tulsiani, João Carreira, Jitendra Malik
Pose Induction for Novel Object Categories. ICCV (2015)
João Carreira, Abhishek Kar, Shubham Tulsiani, Jitendra Malik
Virtual view networks for object reconstruction. CVPR (2015)
Abhishek Kar, Shubham Tulsiani, João Carreira, Jitendra Malik
Amodal Completion and Size Constancy in Natural Scenes. CoRR (2015)
Pulkit Agrawal, João Carreira, Jitendra Malik
Learning to See by Moving. ICCV (2015)
João Carreira, Rui Caseiro, Jorge Batista, Cristian Sminchisescu
Free-Form Region Description with Second-Order Pooling. IEEE Trans. Pattern Anal. Mach. Intell. 37 (6) (2015)
Shubham Tulsiani, João Carreira, Jitendra Malik
Pose Induction for Novel Object Categories. CoRR (2015)
Abhishek Kar, Shubham Tulsiani, João Carreira, Jitendra Malik
Category-specific object reconstruction from a single image. CVPR (2015)
Shubham Tulsiani, Abhishek Kar, Qixing Huang, João Carreira, Jitendra Malik
Shape and Symmetry Induction for 3D Objects. CoRR (2015)
João Carreira, Erhan Ekmekcioglu, Ahmet M. Kondoz, Pedro A. Amado Assunção, Sérgio M. M. Faria, D. Varuna S. X. De Silva
Selective motion vector redundancies for improved error resilience in HEVC. ICIP (2014)
Cristiano Premebida, João Carreira, Jorge Batista, Urbano Nunes
Pedestrian detection combining RGB and dense LIDAR data. IROS (2014)
João Carreira, D. Varuna S. X. De Silva, Erhan Ekmekcioglu, Ahmet M. Kondoz, Pedro A. Amado Assunção, Sérgio M. M. Faria
Dynamic motion vector refreshing for enhanced error resilience in HEVC. EUSIPCO (2014)
Sara Vicente, João Carreira, Lourdes Agapito, Jorge Batista
Reconstructing PASCAL VOC. CVPR (2014)
Abhishek Kar, Shubham Tulsiani, João Carreira, Jitendra Malik
Category-Specific Object Reconstruction from a Single Image. CoRR (2014)
Adrian Ion, João Carreira, Cristian Sminchisescu
Probabilistic Joint Image Segmentation and Labeling by Figure-Ground Composition. Int. J. Comput. Vis. 107 (1) (2014)
Catalin Ionescu, João Carreira, Cristian Sminchisescu
Iterated Second-Order Label Sensitive Pooling for 3D Human Pose Estimation. CVPR (2014)
João Carreira, Abhishek Kar, Shubham Tulsiani, Jitendra Malik
Virtual View Networks for Object Reconstruction. CoRR (2014)
Fuxin Li, João Carreira, Guy Lebanon, Cristian Sminchisescu
Composite Statistical Inference for Semantic Segmentation. CVPR (2013)
João F. Henriques, João Carreira, Rui Caseiro, Jorge Batista
Beyond Hard Negative Mining: Efficient Detector Learning via Block-Circulant Decomposition. ICCV (2013)
João Carreira, Pedro Assuncao, Nuno M. M. Rodrigues, Sérgio M. M. de Faria
Frame loss concealment for 3D video decoders based on disparity-compensated motion field. 3DTV-Conference (2012)
João Carreira, Cristian Sminchisescu
CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts. IEEE Trans. Pattern Anal. Mach. Intell. 34 (7) (2012)
João Carreira, Rui Caseiro, Jorge P. Batista, Cristian Sminchisescu
Semantic Segmentation with Second-Order Pooling. ECCV (7) (2012)
João Carreira, Fuxin Li, Cristian Sminchisescu
Object Recognition by Sequential Figure-Ground Ranking. Int. J. Comput. Vis. 98 (3) (2012)
Luís Pinto, João Carreira, Sérgio M. M. de Faria, Nuno M. M. Rodrigues, Pedro A. Amado Assunção
Subjective quality factors in packet 3D video. QoMEX (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

João Carreira