Yi Li

Style-based Variational Autoencoder for Real-World Super-Resolution

Real-world image super-resolution is a challenging image translation pro...
12/21/2019 ∙ by Xin Ma, et al. ∙ 31 ∙ share

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Evolving ab initio trading strategies in heterogeneous environments

Securities markets are quintessential complex adaptive systems in which ...
12/19/2019 ∙ by David Rushing Dewhurst, et al. ∙ 20 ∙ share

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Pose Agnostic Cross-spectral Hallucination via Disentangling Independent Factors

The cross-sensor gap is one of the challenges that arise much research i...
09/10/2019 ∙ by Boyan Duan, et al. ∙ 15 ∙ share

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Data-Driven Neuron Allocation for Scale Aggregation Networks

Successful visual recognition networks benefit from aggregating informat...
04/20/2019 ∙ by Yi Li, et al. ∙ 14 ∙ share

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Informative Sample Mining Network for Multi-Domain Image-to-Image Translation

The performance of multi-domain image-to-image translation has been sign...
01/05/2020 ∙ by Jie Cao, et al. ∙ 5 ∙ share

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Cancer Metastasis Detection With Neural Conditional Random Field

Breast cancer diagnosis often requires accurate detection of metastasis ...
06/19/2018 ∙ by Yi Li, et al. ∙ 2 ∙ share

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An Explicit Construction of Gauss-Jordan Elimination Matrix

A constructive approach to get the reduced row echelon form of a given m...
07/29/2009 ∙ by Yi Li, et al. ∙ 0 ∙ share

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Enhanced Biologically Inspired Model for Image Recognition Based on a Novel Patch Selection Method with Moment

Biologically inspired model (BIM) for image recognition is a robust comp...
10/27/2017 ∙ by Yan-Feng Lu, et al. ∙ 0 ∙ share

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Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification

Makeup is widely used to improve facial attractiveness and is well accep...
09/12/2017 ∙ by Yi Li, et al. ∙ 0 ∙ share

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Consensus measure of rankings

A ranking is an ordered sequence of items, in which an item with higher ...
04/27/2017 ∙ by Zhiwei Lin, et al. ∙ 0 ∙ share

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Classification with Ultrahigh-Dimensional Features

Although much progress has been made in classification with high-dimensi...
11/04/2016 ∙ by Yanming Li, et al. ∙ 0 ∙ share

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Deformable Convolutional Networks

Convolutional neural networks (CNNs) are inherently limited to model geo...
03/17/2017 ∙ by Jifeng Dai, et al. ∙ 0 ∙ share

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Robust and Real-time Deep Tracking Via Multi-Scale Domain Adaptation

Visual tracking is a fundamental problem in computer vision. Recently, s...
01/03/2017 ∙ by Xinyu Wang, et al. ∙ 0 ∙ share

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Fully Convolutional Instance-aware Semantic Segmentation

We present the first fully convolutional end-to-end solution for instanc...
11/23/2016 ∙ by Yi Li, et al. ∙ 0 ∙ share

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R-FCN: Object Detection via Region-based Fully Convolutional Networks

We present region-based, fully convolutional networks for accurate and e...
05/20/2016 ∙ by Jifeng Dai, et al. ∙ 0 ∙ share

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Random Bits Regression: a Strong General Predictor for Big Data

To improve accuracy and speed of regressions and classifications, we pre...
01/13/2015 ∙ by Yi Wang, et al. ∙ 0 ∙ share

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Instance-sensitive Fully Convolutional Networks

Fully convolutional networks (FCNs) have been proven very successful for...
03/29/2016 ∙ by Jifeng Dai, et al. ∙ 0 ∙ share

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Free-hand Sketch Synthesis with Deformable Stroke Models

We present a generative model which can automatically summarize the stro...
10/09/2015 ∙ by Yi Li, et al. ∙ 0 ∙ share

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Sketch-based 3D Shape Retrieval using Convolutional Neural Networks

Retrieving 3D models from 2D human sketches has received considerable at...
04/14/2015 ∙ by Fang Wang, et al. ∙ 0 ∙ share

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DeepTrack: Learning Discriminative Feature Representations Online for Robust Visual Tracking

Deep neural networks, albeit their great success on feature learning in ...
02/28/2015 ∙ by Hanxi Li, et al. ∙ 0 ∙ share

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Physical Computing With No Clock to Implement the Gaussian Pyramid of SIFT Algorithm

Physical computing is a technology utilizing the nature of electronic de...
08/11/2014 ∙ by Yi Li, et al. ∙ 0 ∙ share

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Beyond Physical Connections: Tree Models in Human Pose Estimation

Simple tree models for articulated objects prevails in the last decade. ...
05/10/2013 ∙ by Fang Wang, et al. ∙ 0 ∙ share

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Learning Visual Symbols for Parsing Human Poses in Images

Parsing human poses in images is fundamental in extracting critical visu...
04/23/2013 ∙ by Fang Wang, et al. ∙ 0 ∙ share

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Exploring Neural Transducers for End-to-End Speech Recognition

In this work, we perform an empirical comparison among the CTC, RNN-Tran...
07/24/2017 ∙ by Eric Battenberg, et al. ∙ 0 ∙ share

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Neural Self Talk: Image Understanding via Continuous Questioning and Answering

In this paper we consider the problem of continuously discovering image ...
12/10/2015 ∙ by Yezhou Yang, et al. ∙ 0 ∙ share

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Deterministic Heavy Hitters with Sublinear Query Time

This paper studies the classic problem of finding heavy hitters in the t...
12/05/2017 ∙ by Yi Li, et al. ∙ 0 ∙ share

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Verifying Probabilistic Timed Automata Against Omega-Regular Dense-Time Properties

Probabilistic timed automata (PTAs) are timed automata (TAs) extended wi...
12/01/2017 ∙ by Hongfei Fu, et al. ∙ 0 ∙ share

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PrivPy: Enabling Scalable and General Privacy-Preserving Computation

We introduce PrivPy, a practical privacy-preserving collaborative comput...
01/30/2018 ∙ by Yi Li, et al. ∙ 0 ∙ share

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DeepIM: Deep Iterative Matching for 6D Pose Estimation

Estimating the 6D pose of objects from images is an important problem in...
03/31/2018 ∙ by Yi Li, et al. ∙ 0 ∙ share

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Covariance-Insured Screening

Modern bio-technologies have produced a vast amount of high-throughput d...
05/17/2018 ∙ by Kevin He, et al. ∙ 0 ∙ share

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Large Margin Neural Language Model

We propose a large margin criterion for training neural language models....
08/27/2018 ∙ by Jiaji Huang, et al. ∙ 0 ∙ share

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SurvBoost: An R Package for High-Dimensional Variable Selection in the Stratified Proportional Hazards Model via Gradient Boosting

High-dimensional variable selection in the proportional hazards (PH) mod...
03/21/2018 ∙ by Emily Morris, et al. ∙ 0 ∙ share

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Learning-Based Delay-Aware Caching in Wireless D2D Caching Networks

Recently, wireless caching techniques have been studied to satisfy lower...
09/26/2018 ∙ by Yi Li, et al. ∙ 0 ∙ share

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Testing Matrix Rank, Optimally

We show that for the problem of testing if a matrix A ∈ F^n × n has rank...
10/18/2018 ∙ by Maria-Florina Balcan, et al. ∙ 0 ∙ share

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A Survey to Deep Facial Attribute Analysis

Facial attribute analysis has received considerable attention with the d...
12/26/2018 ∙ by Xin Zheng, et al. ∙ 0 ∙ share

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Detecting Lesion Bounding Ellipses With Gaussian Proposal Networks

Lesions characterized by computed tomography (CT) scans, are arguably of...
02/25/2019 ∙ by Yi Li, et al. ∙ 0 ∙ share

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DeepCruiser: Automated Guided Testing for Stateful Deep Learning Systems

Deep learning (DL) defines a data-driven programming paradigm that autom...
12/13/2018 ∙ by Xiaoning Du, et al. ∙ 0 ∙ share

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Biphasic Learning of GANs for High-Resolution Image-to-Image Translation

Despite that the performance of image-to-image translation has been sign...
04/14/2019 ∙ by Jie Cao, et al. ∙ 0 ∙ share

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REPAIR: Removing Representation Bias by Dataset Resampling

Modern machine learning datasets can have biases for certain representat...
04/16/2019 ∙ by Yi Li, et al. ∙ 0 ∙ share

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A Convolutional Neural Networks Denoising Approach for Salt and Pepper Noise

The salt and pepper noise, especially the one with extremely high percen...
07/21/2018 ∙ by Bo Fu, et al. ∙ 0 ∙ share

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Deterministic Sparse Fourier Transform with an ell_infty Guarantee

In this paper we revisit the deterministic version of the Sparse Fourier...
03/03/2019 ∙ by Yi Li, et al. ∙ 0 ∙ share

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Estimation and Inference for High Dimensional Generalized Linear Models: A Splitting and Smoothing Approach

For a better understanding of the molecular causes of lung cancer, the B...
03/11/2019 ∙ by Zhe Fei, et al. ∙ 0 ∙ share

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Patch-based Contour Prior Image Denoising for Salt and Pepper Noise

The salt and pepper noise brings a significant challenge to image denois...
08/26/2018 ∙ by Bo Fu, et al. ∙ 0 ∙ share

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Tight Bounds for the Subspace Sketch Problem with Applications

In the subspace sketch problem one is given an n× d matrix A with O((nd)...
04/11/2019 ∙ by Yi Li, et al. ∙ 0 ∙ share

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Image Super-Resolution Using TV Priori Guided Convolutional Network

We proposed a TV priori information guided deep learning method for sing...
10/28/2018 ∙ by Bo Fu, et al. ∙ 0 ∙ share

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An Empirical Study on the Characteristics of Question-Answering Process on Developer Forums

Developer forums are one of the most popular and useful Q&A websites on ...
09/05/2019 ∙ by Yi Li, et al. ∙ 0 ∙ share

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Oracle-Supported Dynamic Exploit Generation for Smart Contracts

Despite the high stakes involved in smart contracts, they are often deve...
09/14/2019 ∙ by Haijun Wang, et al. ∙ 0 ∙ share

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Directed-Weighting Group Lasso for Eltwise Blocked CNN Pruning

Eltwise layer is a commonly used structure in the multi-branch deep lear...
10/21/2019 ∙ by Ke Zhan, et al. ∙ 0 ∙ share

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Robust Estimation and Variable Selection for the Accelerated Failure Time Model

This paper considers robust modeling of the survival time for cancer pat...
12/20/2019 ∙ by Yi Li, et al. ∙ 0 ∙ share

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Doublade: Unknown Vulnerability Detection in Smart Contracts Via Abstract Signature Matching and Refined Detection Rules

With the prosperity of smart contracts and the blockchain technology, va...
12/10/2019 ∙ by Yinxing Xue, et al. ∙ 0 ∙ share

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Yi Li

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