b'Joao Carreira'

research

∙ 06/14/2023

TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement

We present a novel model for Tracking Any Point (TAP) that effectively t...

0 Carl Doersch, et al. ∙

research

∙ 05/23/2023

Perception Test: A Diagnostic Benchmark for Multimodal Video Models

We propose a novel multimodal video benchmark - the Perception Test - to...

0 Viorica Patraucean, et al. ∙

research

∙ 01/23/2023

Zorro: the masked multimodal transformer

Attention-based models are appealing for multimodal processing because i...

17 Adria Recasens, et al. ∙

research

∙ 11/07/2022

TAP-Vid: A Benchmark for Tracking Any Point in a Video

Generic motion understanding from video involves not only tracking objec...

0 Carl Doersch, et al. ∙

research

∙ 10/12/2022

Self-supervised video pretraining yields strong image representations

Videos contain far more information than still images and hold the poten...

0 Nikhil Parthasarathy, et al. ∙

research

∙ 10/06/2022

Compressed Vision for Efficient Video Understanding

Experience and reasoning occur across multiple temporal scales: millisec...

14 Olivia Wiles, et al. ∙

research

∙ 09/30/2022

Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods

Self-supervised methods have achieved remarkable success in transfer lea...

0 Skanda Koppula, et al. ∙

research

∙ 03/17/2022

Transframer: Arbitrary Frame Prediction with Generative Models

We present a general-purpose framework for image modelling and vision ta...

0 Charlie Nash, et al. ∙

research

∙ 03/16/2022

Object discovery and representation networks

The promise of self-supervised learning (SSL) is to leverage large amoun...

15 Olivier J. Hénaff, et al. ∙

research

∙ 02/22/2022

Hierarchical Perceiver

General perception systems such as Perceivers can process arbitrary moda...

2 Joao Carreira, et al. ∙

research

∙ 02/15/2022

General-purpose, long-context autoregressive modeling with Perceiver AR

Real-world data is high-dimensional: a book, image, or musical performan...

2 Curtis Hawthorne, et al. ∙

research

∙ 12/06/2021

Input-level Inductive Biases for 3D Reconstruction

Much of the recent progress in 3D vision has been driven by the developm...

3 Wang Yifan, et al. ∙

research

∙ 11/23/2021

Towards Learning Universal Audio Representations

The ability to learn universal audio representations that can solve dive...

0 Luyu Wang, et al. ∙

research

∙ 07/30/2021

Perceiver IO: A General Architecture for Structured Inputs Outputs

The recently-proposed Perceiver model obtains good results on several do...

6 Andrew Jaegle, et al. ∙

research

∙ 03/19/2021

Efficient Visual Pretraining with Contrastive Detection

Self-supervised pretraining has been shown to yield powerful representat...

0 Olivier J. Hénaff, et al. ∙

research

∙ 03/04/2021

Perceiver: General Perception with Iterative Attention

Biological systems understand the world by simultaneously processing hig...

18 Andrew Jaegle, et al. ∙

research

∙ 10/21/2020

A Short Note on the Kinetics-700-2020 Human Action Dataset

We describe the 2020 edition of the DeepMind Kinetics human action datas...

0 Lucas Smaira, et al. ∙

research

∙ 05/01/2020

The AVA-Kinetics Localized Human Actions Video Dataset

This paper describes the AVA-Kinetics localized human actions video data...

6 Ang Li, et al. ∙

research

∙ 03/11/2020

Visual Grounding in Video for Unsupervised Word Translation

There are thousands of actively spoken languages on Earth, but a single ...

8 Gunnar A. Sigurdsson, et al. ∙

research

∙ 10/24/2019

Controllable Attention for Structured Layered Video Decomposition

The objective of this paper is to be able to separate a video into its n...

24 Jean-Baptiste Alayrac, et al. ∙

research

∙ 07/15/2019

A Short Note on the Kinetics-700 Human Action Dataset

We describe an extension of the DeepMind Kinetics human action dataset f...

1 Joao Carreira, et al. ∙

research

∙ 02/09/2019

Cloud Programming Simplified: A Berkeley View on Serverless Computing

Serverless cloud computing handles virtually all the system administrati...

0 Eric Jonas, et al. ∙

research

∙ 12/06/2018

Video Action Transformer Network

We introduce the Action Transformer model for recognizing and localizing...

20 Rohit Girdhar, et al. ∙

research

∙ 12/04/2018

The Visual Centrifuge: Model-Free Layered Video Representations

True video understanding requires making sense of non-lambertian scenes ...

2 Jean-Baptiste Alayrac, et al. ∙

research

∙ 08/03/2018

A Short Note about Kinetics-600

We describe an extension of the DeepMind Kinetics human action dataset f...

0 Joao Carreira, et al. ∙

research

∙ 07/26/2018

A Better Baseline for AVA

We introduce a simple baseline for action localization on the AVA datase...

0 Rohit Girdhar, et al. ∙

research

∙ 06/11/2018

Massively Parallel Video Networks

We introduce a class of causal video understanding models that aims to i...

0 Joao Carreira, et al. ∙

research

∙ 05/22/2017

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

The paucity of videos in current action classification datasets (UCF-101...

0 Joao Carreira, et al. ∙

research

∙ 05/19/2017

The Kinetics Human Action Video Dataset

We describe the DeepMind Kinetics human action video dataset. The datase...

0 Will Kay, et al. ∙

research

∙ 07/23/2015

Human Pose Estimation with Iterative Error Feedback

Hierarchical feature extractors such as Convolutional Networks (ConvNets...

0 Joao Carreira, et al. ∙

research

∙ 05/07/2015

Learning to See by Moving

The dominant paradigm for feature learning in computer vision relies on ...

0 Pulkit Agrawal, et al. ∙

research

∙ 05/01/2015

Pose Induction for Novel Object Categories

We address the task of predicting pose for objects of unannotated object...

0 Shubham Tulsiani, et al. ∙

research

∙ 03/22/2015

Lifting Object Detection Datasets into 3D

While data has certainly taken the center stage in computer vision in re...

0 Joao Carreira, et al. ∙

research

∙ 11/22/2014

Virtual View Networks for Object Reconstruction

All that structure from motion algorithms "see" are sets of 2D points. W...

0 Joao Carreira, et al. ∙

research

∙ 11/22/2014

Category-Specific Object Reconstruction from a Single Image

Object reconstruction from a single image -- in the wild -- is a problem...

0 Abhishek Kar, et al. ∙

research

∙ 09/24/2010

Image Segmentation by Discounted Cumulative Ranking on Maximal Cliques

We propose a mid-level image segmentation framework that combines multip...

0 Joao Carreira, et al. ∙

Joao Carreira

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