
DORA: Toward Policy Optimization for Taskoriented Dialogue System with Efficient Context
Recently, reinforcement learning (RL) has been applied to taskoriented ...
read it

Combinatorial 3D Shape Generation via Sequential Assembly
3D shape generation has drawn attention in computer vision and machine l...
read it

Bayesian Optimization over Sets
We propose a Bayesian optimization method over sets, to minimize a black...
read it

BAN: Focusing on Boundary Context for Object Detection
Visual context is one of the important clue for object detection and the...
read it

Sparse Network Inversion for Key Instance Detection in Multiple Instance Learning
Multiple Instance Learning (MIL) involves predicting a single label for ...
read it

Crossdomain Selfsupervised Learning for Domain Adaptation with Few Source Labels
Existing unsupervised domain adaptation methods aim to transfer knowledg...
read it

UACANet: Uncertainty Augmented Context Attention for Polyp Semgnetaion
We propose Uncertainty Augmented Context Attention network (UACANet) for...
read it

Local Stability and Performance of Simple Gradient Penalty muWasserstein GAN
Wasserstein GAN(WGAN) is a model that minimizes the Wasserstein distance...
read it

BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by Coupling Binary Activations
Binary Neural Networks (BNNs) have been garnering interest thanks to the...
read it

Attentive Semantic Alignment with OffsetAware Correlation Kernels
Semantic correspondence is the problem of establishing correspondences a...
read it

Selective Distillation of Weakly Annotated GTD for Visionbased Slab Identification System
This paper proposes an algorithm for recognizing slab identification num...
read it

InstaGAN: Instanceaware ImagetoImage Translation
Unsupervised imagetoimage translation has gained considerable attentio...
read it

Unsupervised Differentiable Multiaspect Network Embedding
Network embedding is an influential graph mining technique for represent...
read it

Transfer Learning in Bandits with Latent Continuity
Structured stochastic multiarmed bandits provide accelerated regret rat...
read it

Deep Neural Network Optimized to Resistive Memory with Nonlinear CurrentVoltage Characteristics
Artificial Neural Network computation relies on intensive vectormatrix ...
read it

Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization
Overfitting is one of the most critical challenges in deep neural networ...
read it

Visual Reference Resolution using Attention Memory for Visual Dialog
Visual dialog is a task of answering a series of interdependent questio...
read it

Automatic Open Knowledge Acquisition via Long ShortTerm Memory Networks with Feedback Negative Sampling
Previous studies in Open Information Extraction (Open IE) are mainly bas...
read it

DialPort: Connecting the Spoken Dialog Research Community to Real User Data
This paper describes a new spoken dialog portal that connects systems pr...
read it

Proposal Flow: Semantic Correspondences from Object Proposals
Finding image correspondences remains a challenging problem in the prese...
read it

Weakly Supervised Semantic Segmentation using WebCrawled Videos
We propose a novel algorithm for weakly supervised semantic segmentation...
read it

LargeScale Image Retrieval with Attentive Deep Local Features
We propose an attentive local feature descriptor suitable for largescal...
read it

Textguided Attention Model for Image Captioning
Visual attention plays an important role to understand images and demons...
read it

Gaussian Copula Variational Autoencoders for Mixed Data
The variational autoencoder (VAE) is a generative model with continuous ...
read it

Convergence Analysis of MAP based Blur Kernel Estimation
One popular approach for blind deconvolution is to formulate a maximum a...
read it

TreeGuided MCMC Inference for Normalized Random Measure Mixture Models
Normalized random measures (NRMs) provide a broad class of discrete rand...
read it

Modeling and Propagating CNNs in a Tree Structure for Visual Tracking
We present an online visual tracking algorithm by managing multiple targ...
read it

Learning to Select PreTrained Deep Representations with Bayesian Evidence Framework
We propose a Bayesian evidence framework to facilitate transfer learning...
read it

Training Recurrent Answering Units with Joint Loss Minimization for VQA
We propose a novel algorithm for visual question answering based on a re...
read it

Bayesian Hierarchical Clustering with Exponential Family: SmallVariance Asymptotics and Reducibility
Bayesian hierarchical clustering (BHC) is an agglomerative clustering me...
read it

Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network
We propose a novel weaklysupervised semantic segmentation algorithm bas...
read it

Decoupled Deep Neural Network for Semisupervised Semantic Segmentation
We propose a novel deep neural network architecture for semisupervised ...
read it

Bilinear Random Projections for LocalitySensitive Binary Codes
Localitysensitive hashing (LSH) is a popular dataindependent indexing ...
read it

Local Decorrelation For Improved Detection
Even with the advent of more sophisticated, datahungry methods, boosted...
read it

Regularized Discriminant Embedding for Visual Descriptor Learning
Images can vary according to changes in viewpoint, resolution, noise, an...
read it

Multiple RangeRestricted Bidirectional Gated Recurrent Units with Attention for Relation Classification
Most of neural approaches to relation classification have focused on fin...
read it

Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction
We tackle image question answering (ImageQA) problem by learning a convo...
read it

Improving Term Frequency Normalization for Multitopical Documents, and Application to Language Modeling Approaches
Term frequency normalization is a serious issue since lengths of documen...
read it

The Geodesic 2center Problem in a Simple Polygon
The geodesic kcenter problem in a simple polygon with n vertices consis...
read it

Preshared Key Agreement for Secure Public WiFi
This paper presents a novel preshared key (PSK) agreement scheme to est...
read it

A New Balanced Subdivision of a Simple Polygon for TimeSpace Tradeoff Algorithms
We are given a readonly memory for input and a writeonly stream for ou...
read it

TimeDivision Transmission is Optimal for Covert Communication over Broadcast Channels
We consider a covert communication scenario where a legitimate transmitt...
read it

Voronoi Diagrams for a ModerateSized PointSet in a Simple Polygon
Given a set of sites in a simple polygon, a geodesic Voronoi diagram of ...
read it

Spatial Lattice Modulation for MIMO Systems
This paper proposes spatial lattice modulation (SLM), a spatial modulati...
read it

Weighted Hamming Metric Structures
A weighted Hamming metric is introduced in [4] and it showed that the bi...
read it

HighResolution Angle Tracking for Mobile Wideband MillimeterWave Systems with Antenna Array Calibration
Millimeterwave (mmWave) systems use directional beams to support highr...
read it

Variable Selection and Task Grouping for MultiTask Learning
We consider multitask learning, which simultaneously learns related pre...
read it

The Geodesic Farthestpoint Voronoi Diagram in a Simple Polygon
Given a set of point sites in a simple polygon, the geodesic farthestpo...
read it

Point Location in Dynamic Planar Subdivisions
We study the point location problem on dynamic planar subdivisions that ...
read it

Approximate Range Queries for Clustering
We study the approximate range searching for three variants of the clust...
read it
POSTECH
In 20122014, the Times Higher Education ranked POSTECH 1st in its "100 Under 50 Young Universities" rankings.