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Jun 17, 2016
Conferences: ICML
Machine Learning
Computer Vision

Human Attention in Visual Question Answering: Do Humans and Deep Ne…

We conduct large-scale studies on `human attention' in Visual Question Answering (VQA) to understand where humans choose to look to answer questions …
Feb 13, 2018
Conferences: ICLR
Machine Learning
Artificial Intelligence
Computer Vision

TVAE: Triplet-Based Variational Autoencoder using Metric Learning

Deep metric learning has been demonstrated to be highly effective in learning semantic representation and encoding information that can be used to me…
Oct 03, 2017
Conferences: CVPR
Computer Vision

Decoding visemes: improving machine lipreading (PhD thesis)

Machine lipreading (MLR) is speech recognition from visual cues and a niche research problem in speech processing & computer vision. Current challeng…
May 23, 2016
By ayanc
Conferences: NIPS
Machine Learning

Learning Sensor Multiplexing Design through Back-propagation

Recent progress on many imaging and vision tasks has been driven by the use of deep feed-forward neural networks, which are trained by propagating gr…
Jul 29, 2017
By jpc
Conferences: ICCV
Computer Vision

FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting …

In this paper, we develop deep spatio-temporal neural networks to sequentially count vehicles from low quality videos captured by city cameras (cityc…
Mar 06, 2018
Conferences: IROS
Robotics
Computer Vision

The Earth ain't Flat: Monocular Reconstruction of Vehicles on Steep a…

Accurate localization of other traffic participants is a vital task in autonomous driving systems. State-of-the-art systems employ a combination of s…
Nov 28, 2016
Conferences: NIPS
Computer Vision

Large-Scale Shape Retrieval with Sparse 3D Convolutional Neural Netwo…

In this paper we present results of performance evaluation of S3DCNN - a Sparse 3D Convolutional Neural Network - on a large-scale 3D Shape benchmark…
Nov 03, 2017
Conferences: NIPS
Machine Learning
Social and Information Networks

From which world is your graph?

Discovering statistical structure from links is a fundamental problem in the analysis of social networks. Choosing a misspecified model, or equivalen…
Nov 20, 2015
By moontae
Conferences: test
Computation and Language

Reasoning in Vector Space: An Exploratory Study of Question Answering

Question answering tasks have shown remarkable progress with distributed vector representation. In this paper, we investigate the recently proposed F…
Jul 11, 2014
Conferences: MICCAI
Computer Vision

Optimally Stabilized PET Image Denoising Using Trilateral Filtering

Low-resolution and signal-dependent noise distribution in positron emission tomography (PET) images makes denoising process an inevitable step prior …
Mar 14, 2017
Conferences: IROS
Robotics
Machine Learning
Neural and Evolutionary Computation
Systems and Control

Sensor Fusion for Robot Control through Deep Reinforcement Learning

Deep reinforcement learning is becoming increasingly popular for robot control algorithms, with the aim for a robot to self-learn useful feature repr…
Nov 28, 2016
Conferences: NIPS
Machine Learning

Robust Variational Inference

Variational inference is a powerful tool for approximate inference. However, it mainly focuses on the evidence lower bound as variational objective a…
Jan 23, 2018
By cbuck
Conferences: NIPS
Computation and Language
Artificial Intelligence

Analyzing Language Learned by an Active Question Answering Agent

We analyze the language learned by an agent trained with reinforcement learning as a component of the ActiveQA system [Buck et al., 2017]. In ActiveQ…
Jun 18, 2016
Conferences: ICML
Machine Learning

Interpretability in Linear Brain Decoding

Improving the interpretability of brain decoding approaches is of primary interest in many neuroimaging studies. Despite extensive studies of this ty…
Oct 06, 2015
Conferences: ICCV
Computer Vision

Unsupervised Extraction of Video Highlights Via Robust Recurrent Au…

With the growing popularity of short-form video sharing platforms such as \em{Instagram} and \em{Vine}, there has been an increasing need for techniq…
Mar 06, 2017
By vsharan
Conferences: ICML
Machine Learning

Orthogonalized ALS: A Theoretically Principled Tensor Decomposition …

The popular Alternating Least Squares (ALS) algorithm for tensor decomposition is efficient and easy to implement, but often converges to poor local …
Apr 10, 2017
Conferences: CVPR
Computer Vision
Machine Learning
Neural and Evolutionary Computation

Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on …

A number of problems can be formulated as prediction on graph-structured data. In this work, we generalize the convolution operator from regular grid…
Sep 24, 2015
Conferences: ICCV
Computer Vision

Learning Visual Clothing Style with Heterogeneous Dyadic Co-occurrenc…

With the rapid proliferation of smart mobile devices, users now take millions of photos every day. These include large numbers of clothing and access…
Feb 03, 2017
By ereal
Conferences: CVPR
Computer Vision

YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Se…

We introduce a new large-scale data set of video URLs with densely-sampled object bounding box annotations called YouTube-BoundingBoxes (YT-BB). The …
Feb 12, 2015
Conferences: NIPS
Machine Learning
Optimization and Control

Combinatorial Bandits Revisited

This paper investigates stochastic and adversarial combinatorial multi-armed bandit problems. In the stochastic setting under semi-bandit feedback, w…
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