Virtual view networks for object reconstruction. - João Carreira 001; Abhishek Kar; Shubham Tulsiani; Jitendra Malik (CVPR, 2015)

Category-specific object reconstruction from a single image. - Abhishek Kar; Shubham Tulsiani; João Carreira 001; Jitendra Malik (CVPR, 2015)

Learning to See by Moving. - Pulkit Agrawal 001; João Carreira 001; Jitendra Malik (ICCV, 2015)

Amodal Completion and Size Constancy in Natural Scenes. - Abhishek Kar; Shubham Tulsiani; João Carreira 001; Jitendra Malik (ICCV, 2015)

Pose Induction for Novel Object Categories. - Shubham Tulsiani; João Carreira 001; Jitendra Malik (ICCV, 2015)

Shape and Symmetry Induction for 3D Objects. - Shubham Tulsiani; Abhishek Kar; Qixing Huang; João Carreira 001; Jitendra Malik (CoRR, 2015)

Human Pose Estimation with Iterative Error Feedback. - João Carreira 001; Pulkit Agrawal 001; Katerina Fragkiadaki; Jitendra Malik (CVPR, 2016)

The three R's of computer vision: Recognition, reconstruction and reorganization. - Jitendra Malik; Pablo Andrés Arbeláez; João Carreira 001; Katerina Fragkiadaki; Ross B. Girshick; Georgia Gkioxari; Saurabh Gupta 001; Bharath Hariharan; Abhishek Kar; Shubham Tulsiani (Pattern Recognit. Lett., 2016)

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset. - João Carreira 001; Andrew Zisserman (CVPR, 2017)

The Kinetics Human Action Video Dataset. - Will Kay; João Carreira 001; Karen Simonyan; Brian Zhang; Chloe Hillier; Sudheendra Vijayanarasimhan; Fabio Viola; Tim Green; Trevor Back; Paul Natsev; Mustafa Suleyman; Andrew Zisserman (CoRR, 2017)

Learning Category-Specific Deformable 3D Models for Object Reconstruction. - Shubham Tulsiani; Abhishek Kar; João Carreira 001; Jitendra Malik (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Massively Parallel Video Networks. - João Carreira 001; Viorica Patraucean; Laurent Mazaré; Andrew Zisserman; Simon Osindero (ECCV (4), 2018)

A Better Baseline for AVA. - Rohit Girdhar; João Carreira 001; Carl Doersch; Andrew Zisserman (CoRR, 2018)

A Short Note about Kinetics-600. - João Carreira 001; Eric Noland; Andras Banki-Horvath; Chloe Hillier; Andrew Zisserman (CoRR, 2018)

The Visual Centrifuge: Model-Free Layered Video Representations. - Jean-Baptiste Alayrac; João Carreira 001; Andrew Zisserman (CVPR, 2019)

Video Action Transformer Network. - Rohit Girdhar; João Carreira 001; Carl Doersch; Andrew Zisserman (CVPR, 2019)

Controllable Attention for Structured Layered Video Decomposition. - Jean-Baptiste Alayrac; João Carreira 001; Relja Arandjelovic; Andrew Zisserman (ICCV, 2019)

A Short Note on the Kinetics-700 Human Action Dataset. - João Carreira 001; Eric Noland; Chloe Hillier; Andrew Zisserman (CoRR, 2019)

Sideways: Depth-Parallel Training of Video Models. - Mateusz Malinowski; Grzegorz Swirszcz; João Carreira 001; Viorica Patraucean (CVPR, 2020)

Visual Grounding in Video for Unsupervised Word Translation. - Gunnar A. Sigurdsson; Jean-Baptiste Alayrac; Aida Nematzadeh; Lucas Smaira; Mateusz Malinowski; João Carreira 001; Phil Blunsom; Andrew Zisserman (CVPR, 2020)

The AVA-Kinetics Localized Human Actions Video Dataset. - Ang Li; Meghana Thotakuri; David A. Ross; João Carreira 001; Alexander Vostrikov; Andrew Zisserman (CoRR, 2020)

A Short Note on the Kinetics-700-2020 Human Action Dataset. - Lucas Smaira; João Carreira 001; Eric Noland; Ellen Clancy; Amy Wu; Andrew Zisserman (CoRR, 2020)

Gradient Forward-Propagation for Large-Scale Temporal Video Modelling. - Mateusz Malinowski; Dimitrios Vytiniotis; Grzegorz Swirszcz; Viorica Patraucean; João Carreira 001 (CVPR, 2021)

Efficient Visual Pretraining with Contrastive Detection. - Olivier J. Hénaff; Skanda Koppula; Jean-Baptiste Alayrac; Aäron van den Oord; Oriol Vinyals; João Carreira 001 (ICCV, 2021)

Perceiver: General Perception with Iterative Attention. - Andrew Jaegle; Felix Gimeno; Andy Brock; Oriol Vinyals; Andrew Zisserman; João Carreira 001 (ICML, 2021)

Compressed Vision for Efficient Video Understanding. - Olivia Wiles; João Carreira 001; Iain Barr; Andrew Zisserman; Mateusz Malinowski (ACCV (7), 2022)

Input-level Inductive Biases for 3D Reconstruction. - Wang Yifan 001; Carl Doersch; Relja Arandjelovic; João Carreira 001; Andrew Zisserman (CVPR, 2022)

Object Discovery and Representation Networks. - Olivier J. Hénaff; Skanda Koppula; Evan Shelhamer; Daniel Zoran; Andrew Jaegle; Andrew Zisserman; João Carreira 001; Relja Arandjelovic (ECCV (27), 2022)

Towards Learning Universal Audio Representations. - Luyu Wang; Pauline Luc; Yan Wu 010; Adrià Recasens; Lucas Smaira; Andrew Brock; Andrew Jaegle; Jean-Baptiste Alayrac; Sander Dieleman; João Carreira 001; Aäron van den Oord (ICASSP, 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; et al. (ICLR, 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; et al. (ICML, 2022)

TAP-Vid: A Benchmark for Tracking Any Point in a Video. - Carl Doersch; Ankush Gupta 001; Larisa Markeeva; Adrià Recasens; Lucas Smaira; Yusuf Aytar; João Carreira 001; Andrew Zisserman; Yi Yang 007 (NeurIPS, 2022)

Hierarchical Perceiver. - João Carreira 001; Skanda Koppula; Daniel Zoran; Adrià Recasens; Catalin Ionescu; Olivier J. Hénaff; Evan Shelhamer; Relja Arandjelovic; Matthew M. Botvinick; Oriol Vinyals; Karen Simonyan; Andrew Zisserman; et al. (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 001; Olivier J. Hénaff (CoRR, 2022)

Self-supervised video pretraining yields strong image representations. - Nikhil Parthasarathy; S. M. Ali Eslami; João Carreira 001; Olivier J. Hénaff (CoRR, 2022)

TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement. - Carl Doersch; Yi Yang 007; Mel Vecerík; Dilara Gokay; Ankush Gupta 001; Yusuf Aytar; João Carreira 001; Andrew Zisserman (ICCV, 2023)

Self-supervised video pretraining yields robust and more human-aligned visual representations. - Nikhil Parthasarathy; S. M. Ali Eslami; João Carreira 001; Olivier J. Hénaff (NeurIPS, 2023)

Perception Test: A Diagnostic Benchmark for Multimodal Video Models. - Viorica Patraucean; Lucas Smaira; Ankush Gupta 001; Adrià Recasens; Larisa Markeeva; Dylan Banarse; Skanda Koppula; Joseph Heyward; Mateusz Malinowski; Yi Yang 007; Carl Doersch; Tatiana Matejovicova; et al. (NeurIPS, 2023)

Zorro: the masked multimodal transformer. - Adrià Recasens; Jason Lin; João Carreira 001; Andrew Jaegle; Luyu Wang; Jean-Baptiste Alayrac; Pauline Luc; Antoine Miech; Lucas Smaira; Ross Hemsley; Andrew Zisserman (CoRR, 2023)

Perception Test 2023: A Summary of the First Challenge And Outcome. - Joseph Heyward; João Carreira 001; Dima Damen; Andrew Zisserman; Viorica Patraucean (CoRR, 2023)

Transframer: Arbitrary Frame Prediction with Generative Models. - Charlie Nash; João Carreira 001; Jacob C. Walker; Iain Barr; Andrew Jaegle; Mateusz Malinowski; Peter W. Battaglia (Trans. Mach. Learn. Res., 2023)

BootsTAP: Bootstrapped Training for Tracking-Any-Point. - Carl Doersch; Pauline Luc; Yi Yang 007; Dilara Gokay; Skanda Koppula; Ankush Gupta 001; Joseph Heyward; Ignacio Rocco; Ross Goroshin; João Carreira 001; Andrew Zisserman (ACCV (2), 2024)

Learning from One Continuous Video Stream. - João Carreira 001; Michael King; Viorica Patraucean; Dilara Gokay; Catalin Ionescu; Yi Yang 007; Daniel Zoran; Joseph Heyward; Carl Doersch; Yusuf Aytar; Dima Damen; Andrew Zisserman (CVPR, 2024)

Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video. - Shashanka Venkataramanan; Mamshad Nayeem Rizve; João Carreira 001; Yuki M. Asano; Yannis Avrithis (ICLR, 2024)

TAPVid-3D: A Benchmark for Tracking Any Point in 3D. - Skanda Koppula; Ignacio Rocco; Yi Yang 007; Joseph Heyward; João Carreira 001; Andrew Zisserman; Gabriel Brostow; Carl Doersch (NeurIPS, 2024)

Moving Off-the-Grid: Scene-Grounded Video Representations. - Sjoerd van Steenkiste; Daniel Zoran; Yi Yang 007; Yulia Rubanova; Rishabh Kabra; Carl Doersch; Dilara Gokay; Joseph Heyward; Etienne Pot; Klaus Greff; Drew A. Hudson; Thomas Keck; et al. (NeurIPS, 2024)

Perception Test 2024: Challenge Summary and a Novel Hour-Long VideoQA Benchmark. - Joseph Heyward; João Carreira 001; Dima Damen; Andrew Zisserman; Viorica Patraucean (CoRR, 2024)

Probabilistic Inverse Cameras: Image to 3D via Multiview Geometry. - Rishabh Kabra; Drew A. Hudson; Sjoerd van Steenkiste; João Carreira 001; Niloy J. Mitra (CoRR, 2024)

TRecViT: A Recurrent Video Transformer. - Viorica Patraucean; Xu Owen He; Joseph Heyward; Chuhan Zhang; Mehdi S. M. Sajjadi; George-Cristian Muraru; Artem Zholus; Mahdi Karami; Ross Goroshin; Yutian Chen 001; Simon Osindero; João Carreira 001; et al. (CoRR, 2024)

Scaling 4D Representations. - João Carreira 001; Dilara Gokay; Michael King; Chuhan Zhang; Ignacio Rocco; Aravindh Mahendran; Thomas Keck; Joseph Heyward; Skanda Koppula; Etienne Pot; Goker Erdogan; Yana Hasson; et al. (CoRR, 2024)

Learning from Streaming Video with Orthogonal Gradients. - Tengda Han; Dilara Gokay; Joseph Heyward; Chuhan Zhang; Daniel Zoran; Viorica Patraucean; João Carreira 001; Dima Damen; Andrew Zisserman (CVPR, 2025)

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 Murphy; João Carreira 001; Sjoerd van Steenkiste (CoRR, 2025)

OpenWorldSAM: Extending SAM2 for Universal Image Segmentation with Language Prompts. - Shiting Xiao; Rishabh Kabra; Yuhang Li 001; Donghyun Lee 002; João Carreira 001; Priyadarshini Panda (CoRR, 2025)

Generalist Forecasting with Frozen Video Models via Latent Diffusion. - Jacob C. Walker; Pedro Vélez; Luisa Polania Cabrera; Guangyao Zhou; Rishabh Kabra; Carl Doersch; Maks Ovsjanikov; João Carreira 001; Shiry Ginosar (CoRR, 2025)