Joo Carreira
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
50
Venues
18
Active years
2010–2025
Best venue rank
A*
Where they publish
Papers
50 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Learning from Streaming Video with Orthogonal Gradients. | Tengda Han, Dilara Gokay, Joseph Heyward, Chuhan Zhang, Daniel Zoran, Viorica Patraucean, Joo Carreira, Dima Damen, Andrew Zisserman |
| 2025 | ICCV | LayerLock: Non-Collapsing Representation Learning with Progressive Freezing. | Goker Erdogan, Nikhil Parthasarathy, Catalin Ionescu, Drew A. Hudson, Alexander Lerchner, Andrew Zisserman, Mehdi S. M. Sajjadi, Joo Carreira |
| 2025 | ICML | Direct Motion Models for Assessing Generated Videos. | Kelsey R. Allen, Carl Doersch, Guangyao Zhou, Mohammed Suhail, Danny Driess, Ignacio Rocco, Yulia Rubanova, Thomas Kipf, Mehdi S. M. Sajjadi, Kevin Patrick Murphy, Joo Carreira, Sjoerd van Steenkiste |
| 2024 | ACCV | BootsTAP: Bootstrapped Training for Tracking-Any-Point. | Carl Doersch, Pauline Luc, Yi Yang, Dilara Gokay, Skanda Koppula, Ankush Gupta, Joseph Heyward, Ignacio Rocco, Ross Goroshin, Joo Carreira, Andrew Zisserman |
| 2024 | CVPR | Learning from One Continuous Video Stream. | Joo Carreira, Michael King, Viorica Patraucean, Dilara Gokay, Catalin Ionescu, Yi Yang, Daniel Zoran, Joseph Heyward, Carl Doersch, Yusuf Aytar, Dima Damen, Andrew Zisserman |
| 2024 | EuroSys | Pronghorn: Effective Checkpoint Orchestration for Serverless Hot-Starts. | Sumer Kohli, Shreyas Kharbanda, Rodrigo Bruno, Joo Carreira, Pedro Fonseca |
| 2024 | ICLR | Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video. | Shashanka Venkataramanan, Mamshad Nayeem Rizve, Joo Carreira, Yuki M. Asano, Yannis Avrithis |
| 2023 | ICCV | TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement. | Carl Doersch, Yi Yang, Mel Vecerk, Dilara Gokay, Ankush Gupta, Yusuf Aytar, Joo Carreira, Andrew Zisserman |
| 2022 | ACCV | Compressed Vision for Efficient Video Understanding. | Olivia Wiles, Joo Carreira, Iain Barr, Andrew Zisserman, Mateusz Malinowski |
| 2022 | CVPR | Input-level Inductive Biases for 3D Reconstruction. | Wang Yifan, Carl Doersch, Relja Arandjelovic, Joo Carreira, Andrew Zisserman |
| 2022 | ECCV | Object Discovery and Representation Networks. | Olivier J. Hnaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, Joo Carreira, Relja Arandjelovic |
| 2022 | ICASSP | Towards Learning Universal Audio Representations. | Luyu Wang, Pauline Luc, Yan Wu, Adri Recasens, Lucas Smaira, Andrew Brock, Andrew Jaegle, Jean-Baptiste Alayrac, Sander Dieleman, Joo Carreira, Aron van den Oord |
| 2022 | ICLR | 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. Hnaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, Joo Carreira |
| 2022 | ICML | 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, Joo Carreira, Jesse H. Engel |
| 2021 | CVPR | Gradient Forward-Propagation for Large-Scale Temporal Video Modelling. | Mateusz Malinowski, Dimitrios Vytiniotis, Grzegorz Swirszcz, Viorica Patraucean, Joo Carreira |
| 2021 | HotOS | From warm to hot starts: leveraging runtimes for the serverless era. | Joo Carreira, Sumer Kohli, Rodrigo Bruno, Pedro Fonseca |
| 2021 | ICCV | Efficient Visual Pretraining with Contrastive Detection. | Olivier J. Hnaff, Skanda Koppula, Jean-Baptiste Alayrac, Aron van den Oord, Oriol Vinyals, Joo Carreira |
| 2021 | ICIP | Attention-driven tile splitting method for improved efficiency of omnidirectional versatile video coding. | Joo Carreira, Srgio M. M. de Faria, Luis M. N. Tavora, Antonio Navarro, Pedro A. Amado Assuno |
| 2021 | ICML | Perceiver: General Perception with Iterative Attention. | Andrew Jaegle, Felix Gimeno, Andy Brock, Oriol Vinyals, Andrew Zisserman, Joo Carreira |
| 2020 | CVPR | Sideways: Depth-Parallel Training of Video Models. | Mateusz Malinowski, Grzegorz Swirszcz, Joo Carreira, Viorica Patraucean |
| 2020 | CVPR | Visual Grounding in Video for Unsupervised Word Translation. | Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh, Lucas Smaira, Mateusz Malinowski, Joo Carreira, Phil Blunsom, Andrew Zisserman |
| 2020 | ICIP | Versatile Video Coding Of 360° Video Using Adaptive Resolution Change. | Joo Carreira, Srgio M. M. de Faria, Luis M. N. Tavora, Antonio Navarro, Pedro A. Amado Assuno |
| 2019 | CLOUD | Cirrus: a Serverless Framework for End-to-end ML Workflows. | Joo Carreira, Pedro Fonseca, Alexey Tumanov, Andrew Zhang, Randy H. Katz |
| 2019 | CVPR | The Visual Centrifuge: Model-Free Layered Video Representations. | Jean-Baptiste Alayrac, Joo Carreira, Andrew Zisserman |
| 2019 | CVPR | Video Action Transformer Network. | Rohit Girdhar, Joo Carreira, Carl Doersch, Andrew Zisserman |
| 2019 | ICCV | Controllable Attention for Structured Layered Video Decomposition. | Jean-Baptiste Alayrac, Joo Carreira, Relja Arandjelovic, Andrew Zisserman |
| 2019 | ISM | Versatile Video Coding of 360-Degree Video using Frame-Based FoV and Visual Attention. | Joo Carreira, Srgio M. M. de Faria, Luis M. N. Tavora, Antonio Navarro, Pedro A. Amado Assuno |
| 2018 | ECCV | Massively Parallel Video Networks. | Joo Carreira, Viorica Patraucean, Laurent Mazar, Andrew Zisserman, Simon Osindero |
| 2017 | CVPR | Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset. | Joo Carreira, Andrew Zisserman |
| 2017 | ISCAS | A robust video encoding scheme to enhance error concealment of intra frames. | Joo Carreira, Pedro A. Amado Assuno, Srgio M. M. Faria, Erhan Ekmekcioglu, Ahmet M. Kondoz |
| 2016 | CVPR | Human Pose Estimation with Iterative Error Feedback. | Joo Carreira, Pulkit Agrawal, Katerina Fragkiadaki, Jitendra Malik |
| 2016 | OSDI | Network Requirements for Resource Disaggregation. | Peter Xiang Gao, Akshay Narayan, Sagar Karandikar, Joo Carreira, Sangjin Han, Rachit Agarwal, Sylvia Ratnasamy, Scott Shenker |
| 2015 | CVPR | Virtual view networks for object reconstruction. | Joo Carreira, Abhishek Kar, Shubham Tulsiani, Jitendra Malik |
| 2015 | CVPR | Category-specific object reconstruction from a single image. | Abhishek Kar, Shubham Tulsiani, Joo Carreira, Jitendra Malik |
| 2015 | ICCV | Learning to See by Moving. | Pulkit Agrawal, Joo Carreira, Jitendra Malik |
| 2015 | ICCV | Amodal Completion and Size Constancy in Natural Scenes. | Abhishek Kar, Shubham Tulsiani, Joo Carreira, Jitendra Malik |
| 2015 | ICCV | Pose Induction for Novel Object Categories. | Shubham Tulsiani, Joo Carreira, Jitendra Malik |
| 2015 | VCIP | Reference picture selection using checkerboard pattern for resilient video coding. | Joo Carreira, Pedro Assuno, Srgio M. M. Faria, Erhan Ekmekcioglu, Ahmet M. Kondoz, H. Lim |
| 2014 | CVPR | Iterated Second-Order Label Sensitive Pooling for 3D Human Pose Estimation. | Catalin Ionescu, Joo Carreira, Cristian Sminchisescu |
| 2014 | CVPR | Reconstructing PASCAL VOC. | Sara Vicente, Joo Carreira, Lourdes Agapito, Jorge Batista |
| 2014 | ICIP | Selective motion vector redundancies for improved error resilience in HEVC. | Joo Carreira, Erhan Ekmekcioglu, Ahmet M. Kondoz, Pedro A. Amado Assuno, Srgio M. M. Faria, D. Varuna S. X. De Silva |
| 2014 | IROS | Pedestrian detection combining RGB and dense LIDAR data. | Cristiano Premebida, Joo Carreira, Jorge Batista, Urbano Nunes |
| 2013 | CVPR | Composite Statistical Inference for Semantic Segmentation. | Fuxin Li, Joo Carreira, Guy Lebanon, Cristian Sminchisescu |
| 2013 | ICCV | Beyond Hard Negative Mining: Efficient Detector Learning via Block-Circulant Decomposition. | Joo F. Henriques, Joo Carreira, Rui Caseiro, Jorge Batista |
| 2012 | ECCV | Semantic Segmentation with Second-Order Pooling. | Joo Carreira, Rui Caseiro, Jorge P. Batista, Cristian Sminchisescu |
| 2011 | ICCV | Image segmentation by figure-ground composition into maximal cliques. | Adrian Ion, Joo Carreira, Cristian Sminchisescu |
| 2011 | QoMEX | Subjective quality factors in packet 3D video. | Lus Pinto, Joo Carreira, Srgio M. M. de Faria, Nuno M. M. Rodrigues, Pedro A. Amado Assuno |
| 2010 | CVPR | Constrained parametric min-cuts for automatic object segmentation. | Joo Carreira, Cristian Sminchisescu |
| 2010 | CVPR | Object recognition as ranking holistic figure-ground hypotheses. | Fuxin Li, Joo Carreira, Cristian Sminchisescu |
| 2010 | PCS | Subjective assessment of frame loss concealment methods in 3D video. | Joo Carreira, Lus Pinto, Nuno M. M. Rodrigues, Srgio M. M. de Faria, Pedro A. Amado Assuno |