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05/11/2020
Gleason Score Prediction using Deep Learning in Tissue Microarray Image
Prostate cancer (PCa) is one of the most common cancers in men around th...
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05/09/2020
ICE-GAN: Identity-aware and Capsule-Enhanced GAN for Micro-Expression Recognition and Synthesis
Micro-expressions can reflect peoples true feelings and motives, which a...
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05/05/2020
Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weighting
Unsupervised domain adaptation (UDA) for nuclei instance segmentation is...
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04/20/2020
Shape-Oriented Convolution Neural Network for Point Cloud Analysis
Point cloud is a principal data structure adopted for 3D geometric infor...
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04/02/2020
Improving 3D Object Detection through Progressive Population Based Augmentation
Data augmentation has been widely adopted for object detection in 3D poi...
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03/16/2020
Design of an MISO-SWIPT-Aided Code-Index Modulated Multi-Carrier M-DCSK System for e-Health IoT
Code index modulated multi-carrier M-ary differential chaos shift keying...
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03/15/2020
Output Diversified Initialization for Adversarial Attacks
Adversarial examples are often constructed by iteratively refining a ran...
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03/06/2020
Training Deep Energy-Based Models with f-Divergence Minimization
Deep energy-based models (EBMs) are very flexible in distribution parame...
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03/04/2020
Gaussianization Flows
Iterative Gaussianization is a fixed-point iteration procedure that can ...
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03/02/2020
Permutation Invariant Graph Generation via Score-Based Generative Modeling
Learning generative models for graph-structured data is challenging beca...
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02/25/2020
Toward Predicting Success and Failure in CS2: A Mixed-Method Analysis
Factors driving success and failure in CS1 are the subject of much study...
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02/15/2020
Cell R-CNN V3: A Novel Panoptic Paradigm for Instance Segmentation in Biomedical Images
Instance segmentation is an important task for biomedical image analysis...
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02/10/2020
Nonlinear Equation Solving: A Faster Alternative to Feedforward Computation
Feedforward computations, such as evaluating a neural network or samplin...
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01/16/2020
Arbitrarily Strong Utility-Privacy Trade-off in Decentralized Linear Estimation
Each agent in a network makes a local observation that is linearly relat...
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12/14/2019
Region and Object based Panoptic Image Synthesis through Conditional GANs
Image-to-image translation is significant to many computer vision and ma...
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11/30/2019
Error-Correcting Neural Network
Error-correcting output codes (ECOC) is an ensemble method combining a s...
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10/21/2019
Unsupervised Out-of-Distribution Detection with Batch Normalization
Likelihood from a generative model is a natural statistic for detecting ...
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10/02/2019
Efficient Graph Generation with Graph Recurrent Attention Networks
We propose a new family of efficient and expressive deep generative mode...
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09/26/2019
Representation Learning with Ordered Relation Paths for Knowledge Graph Completion
Incompleteness is a common problem for existing knowledge graphs (KGs), ...
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09/25/2019
Extreme Language Model Compression with Optimal Subwords and Shared Projections
Pre-trained deep neural network language models such as ELMo, GPT, BERT ...
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08/22/2019
A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics
In industrial data analytics, one of the fundamental problems is to util...
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08/09/2019
LSTM-based Flow Prediction
In this paper, a method of prediction on continuous time series variable...
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07/18/2019
MintNet: Building Invertible Neural Networks with Masked Convolutions
We propose a new way of constructing invertible neural networks by combi...
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07/12/2019
Generative Modeling by Estimating Gradients of the Data Distribution
We introduce a new generative model where samples are produced via Lange...
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06/11/2019
Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding
Generating long and informative review text is a challenging natural lan...
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06/04/2019
Geo-Aware Networks for Fine Grained Recognition
Fine grained recognition distinguishes among categories with subtle visu...
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05/17/2019
Sliced Score Matching: A Scalable Approach to Density and Score Estimation
Score matching is a popular method for estimating unnormalized statistic...
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01/16/2019
Class-Balanced Loss Based on Effective Number of Samples
With the rapid increase of large-scale, real-world datasets, it becomes ...
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12/09/2018
Compressive Privacy for a Linear Dynamical System
We consider a linear dynamical system in which the state vector consists...
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12/03/2018
Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning
Federated learning, i.e., a mobile edge computing framework for deep lea...
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11/07/2018
UWB/LiDAR Fusion For Cooperative Range-Only SLAM
We equip an ultra-wideband (UWB) node and a 2D LiDAR sensor a.k.a. 2D la...
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07/31/2018
Deep Dual Pyramid Network for Barcode Segmentation using Barcode-30k Database
Digital signs(such as barcode or QR code) are widely used in our daily l...
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07/18/2018
3D Global Convolutional Adversarial Network for Prostate MR Volume Segmentation
Advanced deep learning methods have been developed to conduct prostate M...
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06/16/2018
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning
Transferring the knowledge learned from large scale datasets (e.g., Imag...
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05/21/2018
Generative Adversarial Examples
Adversarial examples are typically constructed by perturbing an existing...
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04/13/2018
Talking Face Generation by Conditional Recurrent Adversarial Network
Given an arbitrary face image and an arbitrary speech clip, the proposed...
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04/05/2018
SARA: Self-Aware Resource Allocation for Heterogeneous MPSoCs
In modern heterogeneous MPSoCs, the management of shared memory resource...
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03/04/2018
Accelerating Natural Gradient with Higher-Order Invariance
An appealing property of the natural gradient is that it is invariant to...
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01/21/2018
Decoupled Learning for Conditional Adversarial Networks
Incorporating encoding-decoding nets with adversarial nets has been wide...
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07/23/2017
Person Re-identification Using Visual Attention
Despite recent attempts for solving the person re-identification problem...
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07/20/2017
The iNaturalist Challenge 2017 Dataset
Existing image classification datasets used in computer vision tend to h...
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07/19/2017
Learning Unified Embedding for Apparel Recognition
In apparel recognition, specialized models (e.g. models trained for a pa...
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06/02/2017
r-BTN: Cross-domain Face Composite and Synthesis from Limited Facial Patches
We start by asking an interesting yet challenging question, "If an eyewi...
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02/27/2017
Age Progression/Regression by Conditional Adversarial Autoencoder
"If I provide you a face image of mine (without telling you the actual a...
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11/30/2016
Speed/accuracy trade-offs for modern convolutional object detectors
The goal of this paper is to serve as a guide for selecting a detection ...
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07/07/2016
Kernel Bayesian Inference with Posterior Regularization
We propose a vector-valued regression problem whose solution is equivale...
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04/15/2016
Improving the Robustness of Deep Neural Networks via Stability Training
In this paper we address the issue of output instability of deep neural ...
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12/03/2015
Bayesian Matrix Completion via Adaptive Relaxed Spectral Regularization
Bayesian matrix completion has been studied based on a low-rank matrix f...
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04/17/2014