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Computer Science

D-Index
37
Citations
10919
World Ranking
10476
National Ranking
4383

Overview

Joao Carreira is affiliated with Google in the United States and has contributed extensively to the field of computer science, particularly focusing on computer vision and related subfields. Their research output comprises 63 publications primarily within computer science, with a strong emphasis on computer vision and pattern recognition, artificial intelligence, and signal processing.

The scientist's recent papers include:

  • A Short Note on the Kinetics-700-2020 Human Action Dataset, 2020, arXiv (Cornell University)
  • Perceiver: General Perception with Iterative Attention, 2021, arXiv (Cornell University)
  • The AVA-Kinetics Localized Human Actions Video Dataset, 2020, arXiv (Cornell University)
  • Towards Learning Universal Audio Representations, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Efficient Visual Pretraining with Contrastive Detection, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Their frequent co-authors include:

  • Andrew Zisserman (20 collaborations)
  • Carl Doersch (11 collaborations)
  • Skanda Koppula (9 collaborations)
  • Joseph Heyward (9 collaborations)
  • Andrew Jaegle (8 collaborations)

Joao Carreira's publication venues are dominated by arXiv (Cornell University) with 26 publications. They also have multiple works presented at:

  • Annals of Vascular Surgery (2 publications)
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (1 publication)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 publication)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 publication)

Their main fields of study are complemented by several subfields, including:

  • Computer Vision and Pattern Recognition (43 publications)
  • Artificial Intelligence (14 publications)
  • Signal Processing (5 publications)
  • Pulmonary and Respiratory Medicine (3 publications)
  • Biophysics (3 publications)

The topics covered in their research reflect a diverse range of interests with emphasis on:

  • Advanced Vision and Imaging (22 publications)
  • Human Pose and Action Recognition (18 publications)
  • Domain Adaptation and Few-Shot Learning (12 publications)
  • Anomaly Detection Techniques and Applications (10 publications)
  • Multimodal Machine Learning Applications (8 publications)
  • Generative Adversarial Networks and Image Synthesis (8 publications)
  • Speech and Audio Processing (6 publications)

Best Publications

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

    Joao Carreira;Andrew Zisserman

  • The Kinetics Human Action Video Dataset

    Andrew Zisserman;Joao Carreira;Karen Simonyan;Will Kay

  • Human Pose Estimation with Iterative Error Feedback

    Joao Carreira;Pulkit Agrawal;Katerina Fragkiadaki;Jitendra Malik

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

    J. Carreira;C. Sminchisescu

  • Video Action Transformer Network

    Rohit Girdhar;Joao Joao Carreira;Carl Doersch;Andrew Zisserman

  • Semantic segmentation with second-order pooling

    João Carreira;Rui Caseiro;Jorge Batista;Cristian Sminchisescu

  • Constrained parametric min-cuts for automatic object segmentation

    Joao Carreira;Cristian Sminchisescu

  • Xception: a technique for the experimental evaluation of dependability in modern computers

    J. Carreira;H. Madeira;J.G. Silva

  • Learning to See by Moving

    Pulkit Agrawal;Joao Carreira;Jitendra Malik

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

    Joao Carreira;Eric Noland;Chloe Hillier;Andrew Zisserman

  • Category-specific object reconstruction from a single image

    Abhishek Kar;Shubham Tulsiani;Joao Carreira;Jitendra Malik

  • A Short Note about Kinetics-600

    Joao Carreira;Eric Noland;Andras Banki-Horvath;Chloe Hillier

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

    Joao Carreira;Andrew Zisserman

  • Reconstructing PASCAL VOC

    Sara Vicente;João Carreira;Lourdes Agapito;Jorge Batista

  • Pedestrian detection combining RGB and dense LIDAR data

    Cristiano Premebida;João Carreira;Jorge Batista;Urbano Nunes

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

    Andrew Jaegle;Sebastian Borgeaud;Jean-Baptiste Alayrac;Carl Doersch

  • Perceiver: General Perception with Iterative Attention

    Andrew Jaegle;Felix Axel Gimeno Gil;Andy Brock;Oriol Vinyals

  • Object recognition as ranking holistic figure-ground hypotheses

    Fuxin Li;Joao Carreira;Cristian Sminchisescu

  • Object Recognition by Sequential Figure-Ground Ranking

    João Carreira;Fuxin Li;Cristian Sminchisescu

  • Learning to See by Moving

    Pulkit Agrawal;Joao Carreira;Jitendra Malik

  • Perceiver: General Perception with Iterative Attention

    Andrew Jaegle;Felix Gimeno;Andrew Brock;Andrew Zisserman

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

    Joao F. Henriques;Joao Carreira;Rui Caseiro;Jorge Batista

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

    Catalin Ionescu;Joao Carreira;Cristian Sminchisescu

  • Human Pose Estimation with Iterative Error Feedback

    Joao Carreira;Pulkit Agrawal;Katerina Fragkiadaki;Jitendra Malik

  • The AVA-Kinetics Localized Human Actions Video Dataset.

    Ang Li;Meghana Thotakuri;David A. Ross;João Carreira

Frequent Co-Authors

Andrew Zisserman
Andrew Zisserman University of Oxford
Jitendra Malik
Jitendra Malik University of California, Berkeley
Cristian Sminchisescu
Cristian Sminchisescu Google (United States)
Shubham Tulsiani
Shubham Tulsiani Carnegie Mellon University
Oriol Vinyals
Oriol Vinyals DeepMind (United Kingdom)
Henrique Madeira
Henrique Madeira University of Coimbra
Aaron van den Oord
Aaron van den Oord Google (United States)
Phil Blunsom
Phil Blunsom University of Oxford
Lourdes Agapito
Lourdes Agapito University College London

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