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Dec 11, 2016
Conferences: NIPS
Optimization and Control
Machine Learning

An Empirical Study of ADMM for Nonconvex Problems

The alternating direction method of multipliers (ADMM) is a common optimization tool for solving constrained and non-differentiable problems. We prov…
May 18, 2017
Conferences: ICLR
Machine Learning

Delving into adversarial attacks on deep policies

Adversarial examples have been shown to exist for a variety of deep learning architectures. Deep reinforcement learning has shown promising results o…
Mar 05, 2012
Conferences: ICCV
Computer Vision

Online Discriminative Dictionary Learning for Image Classification Ba…

Previous researches have demonstrated that the framework of dictionary learning with sparse coding, in which signals are decomposed as linear combina…
Feb 24, 2018
Conferences: CVPR
Computer Vision

Residual Dense Network for Image Super-Resolution

A very deep convolutional neural network (CNN) has recently achieved great success for image super-resolution (SR) and offered hierarchical features …
Feb 14, 2018
Conferences: ICLR
Machine Learning

Uncertainty Estimation via Stochastic Batch Normalization

In this work, we investigate Batch Normalization technique and propose its probabilistic interpretation. We propose a probabilistic model and show th…
Mar 13, 2017
Conferences: ICRA
Robotics

Sequential Bayesian Optimisation as a POMDP for Environment Monitorin…

Bayesian Optimisation has gained much popularity lately, as a global optimisation technique for functions that are expensive to evaluate or unknown a…
May 16, 2017
Conferences: ICML
Machine Learning
Computer Vision

Real-Time Adaptive Image Compression

We present a machine learning-based approach to lossy image compression which outperforms all existing codecs, while running in real-time. Our algo…
Aug 25, 2016
Conferences: ECCV
Computer Vision

Ambient Sound Provides Supervision for Visual Learning

The sound of crashing waves, the roar of fast-moving cars -- sound conveys important information about the objects in our surroundings. In this work,…
May 23, 2016
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…
May 17, 2016
Conferences: CVPR
Computer Vision

SemiContour: A Semi-supervised Learning Approach for Contour Detection

Supervised contour detection methods usually require many labeled training images to obtain satisfactory performance. However, a large set of annotat…
Jul 01, 2017
Conferences: CVPR
Computer Vision
Robotics

Failing to Learn: Autonomously Identifying Perception Failures for …

One of the major open challenges in self-driving cars is the ability to detect cars and pedestrians to safely navigate in the world. Deep learning-ba…
Dec 06, 2016
Conferences: CVPR
Computer Vision
Artificial Intelligence

Knowing When to Look: Adaptive Attention via A Visual Sentinel for Im…

Attention-based neural encoder-decoder frameworks have been widely adopted for image captioning. Most methods force visual attention to be active for…
Aug 22, 2017
Conferences: ICCV
Computer Vision
Artificial Intelligence
Machine Learning

Learning Efficient Convolutional Networks through Network Slimming

The deployment of deep convolutional neural networks (CNNs) in many real world applications is largely hindered by their high computational cost. In …
May 22, 2017
Conferences: CVPR
Computer Vision

Facial Expression Recognition Using Enhanced Deep 3D Convolutional …

Deep Neural Networks (DNNs) have shown to outperform traditional methods in various visual recognition tasks including Facial Expression Recognition …
Nov 01, 2016
Conferences: ICLR
Artificial Intelligence
Computer Vision

Learning recurrent representations for hierarchical behavior modeling

We propose a framework for detecting action patterns from motion sequences and modeling the sensory-motor relationship of animals, using a generative…
Apr 09, 2018
Conferences: CVPR
Computer Vision

Photometric Stereo in Participating Media Considering Shape-Dependent…

Images captured in participating media such as murky water, fog, or smoke are degraded by scattered light. Thus, the use of traditional three-dimensi…
Dec 21, 2015
Conferences: CVPR
Computer Vision

Quantized Convolutional Neural Networks for Mobile Devices

Recently, convolutional neural networks (CNN) have demonstrated impressive performance in various computer vision tasks. However, high performance ha…
Jun 13, 2011
Conferences: NIPS
Machine Learning

From Bandits to Experts: On the Value of Side-Observations

We consider an adversarial online learning setting where a decision maker can choose an action in every stage of the game. In addition to observing t…
Dec 01, 2017
Conferences: NIPS
Machine Learning
Optimization and Control

The reparameterization trick for acquisition functions

Bayesian optimization is a sample-efficient approach to solving global optimization problems. Along with a surrogate model, this approach relies on t…
Nov 23, 2016
Conferences: CVPR
Computer Vision

Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose

This paper addresses the challenge of 3D human pose estimation from a single color image. Despite the general success of the end-to-end learning para…
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