José M. F. Moura

Publications
Influence

A. Sandryhaila, José M. F. Moura
Computer Science, Physics
IEEE Transactions on Signal Processing
17 October 2012

In social settings, individuals interact through webs of relationships. Each individual is a node in a complex network (or graph) of interdependencies and generates data, lots of data. We label the… Expand

Visual Dialog

A. Das, Satwik Kottur, +5 authors Dhruv Batra
Computer Science
IEEE Conference on Computer Vision and Pattern…
26 November 2016

We introduce the task of Visual Dialog, which requires an AI agent to hold a meaningful dialog with humans in natural, conversational language about visual content. Expand

Discrete Signal Processing on Graphs: Frequency Analysis

A. Sandryhaila, José M. F. Moura
Computer Science, Mathematics
IEEE Transactions on Signal Processing
1 July 2013

We propose a definition of total variation for graph signals that naturally leads to a frequency ordering on graphs and defines low-, high-, and band-pass graph signals and filters. Expand

SPIRAL: Code Generation for DSP Transforms

Markus Püschel, José M. F. Moura, +10 authors Nicholas Rizzolo
Computer Science
Proceedings of the IEEE
27 June 2005

SPIRAL automatically generates high-performance code that is tuned to the given platform. Expand

Big Data Analysis with Signal Processing on Graphs: Representation and processing of massive data sets with irregular structure

A. Sandryhaila, José M. F. Moura
Computer Science
IEEE Signal Processing Magazine
18 August 2014

Analysis and processing of very large data sets, or big data, poses a significant challenge. Expand

Adversarial Geometry-Aware Human Motion Prediction

Liangyan Gui, Yu-Xiong Wang, Xiaodan Liang, José M. F. Moura
Computer Science
ECCV
8 September 2018

We explore an approach to forecasting human motion in a few milliseconds given an input 3D skeleton sequence based on a recurrent encoder-decoder framework by incorporating local geometric structure constraints and regularizing predictions with plausible temporal smoothness and continuity from a global perspective. Expand

Adversarial Multiple Source Domain Adaptation

H. Zhao, Shanghang Zhang, Guanhang Wu, José M. F. Moura, J. Costeira, Geoffrey J. Gordon
Computer Science
NeurIPS
2018

We propose multisource domain adversarial networks (MDAN) that approach domain adaptation by optimizing task-adaptive generalization bounds. Expand

Visual Dialog

Abhishek Das, Satwik Kottur, +6 authors Dhruv Batra
Medicine, Computer Science
IEEE Transactions on Pattern Analysis and Machine…
2019

We introduce the task of Visual Dialog, which requires an AI agent to hold a meaningful dialog with humans in natural, conversational language about visual content. Expand

Distributed Consensus Algorithms in Sensor Networks With Imperfect Communication: Link Failures and Channel Noise

S. Kar, José M. F. Moura
Mathematics, Computer Science
IEEE Transactions on Signal Processing
25 November 2007

We show that A-ND represents the best of both worlds-zero bias and low variance-at the cost of a slow convergence rate; rescaling the weights balances the variance versus the rate of bias reduction (convergence rate). Expand

Gossip Algorithms for Distributed Signal Processing

A. Dimakis, S. Kar, José M. F. Moura, M. Rabbat, A. Scaglione
Computer Science, Mathematics
Proceedings of the IEEE
27 March 2010

Gossip algorithms are attractive for in-network processing in sensor networks because they do not require any specialized routing, there is no bottleneck or single point of failure, and they are robust to unreliable wireless network conditions. Expand

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