Liu Liu

Lending Orientation to Neural Networks for Cross-view Geo-localization

This paper studies image-based geo-localization (IBL) problem using grou...
03/29/2019 ∙ by Liu Liu, et al. ∙ 9 ∙ share

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Deep Stochastic Attraction and Repulsion Embedding for Image Based Localization

This paper tackles the problem of large-scale image-based localization w...
08/27/2018 ∙ by Liu Liu, et al. ∙ 5 ∙ share

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Deep Image Harmonization via Domain Verification

Image composition is an important operation in image processing, but the...
11/27/2019 ∙ by Wenyan Cong, et al. ∙ 5 ∙ share

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High Dimensional Robust Sparse Regression

We provide a novel -- and to the best of our knowledge, the first -- alg...
05/29/2018 ∙ by Liu Liu, et al. ∙ 4 ∙ share

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NODE: Extreme Low Light Raw Image Denoising using a Noise Decomposition Network

Denoising extreme low light images is a challenging task due to the high...
09/11/2019 ∙ by Hao Guan, et al. ∙ 3 ∙ share

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Variance Reduced methods for Non-convex Composition Optimization

This paper explores the non-convex composition optimization in the form ...
11/13/2017 ∙ by Liu Liu, et al. ∙ 0 ∙ share

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Duality-free Methods for Stochastic Composition Optimization

We consider the composition optimization with two expected-value functio...
10/26/2017 ∙ by Liu Liu, et al. ∙ 0 ∙ share

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Statistical inference using SGD

We present a novel method for frequentist statistical inference in M-est...
05/21/2017 ∙ by Tianyang Li, et al. ∙ 0 ∙ share

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Person Re-identification Using Visual Attention

Despite recent attempts for solving the person re-identification problem...
07/23/2017 ∙ by Alireza Rahimpour, et al. ∙ 0 ∙ share

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Addressing Ambiguity in Multi-target Tracking by Hierarchical Strategy

This paper presents a novel hierarchical approach for the simultaneous t...
05/30/2017 ∙ by Ali Taalimi, et al. ∙ 0 ∙ share

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Multi-View Task-Driven Recognition in Visual Sensor Networks

Nowadays, distributed smart cameras are deployed for a wide set of tasks...
05/30/2017 ∙ by Ali Taalimi, et al. ∙ 0 ∙ share

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End-to-end Binary Representation Learning via Direct Binary Embedding

Learning binary representation is essential to large-scale computer visi...
03/15/2017 ∙ by Liu Liu, et al. ∙ 0 ∙ share

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Compressing Deep Convolutional Networks using Vector Quantization

Deep convolutional neural networks (CNN) has become the most promising m...
12/18/2014 ∙ by Yunchao Gong, et al. ∙ 0 ∙ share

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Asymptotic Analysis for Low-Resolution Massive MIMO Systems with MMSE Receiver

The uplink achievable rate of massive multiple- input-multiple-output (M...
01/30/2018 ∙ by Kai Liu, et al. ∙ 0 ∙ share

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L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks

Batch Normalization (BN) has been proven to be quite effective at accele...
02/27/2018 ∙ by Shuang Wu, et al. ∙ 0 ∙ share

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Discriminative Cross-View Binary Representation Learning

Learning compact representation is vital and challenging for large scale...
04/04/2018 ∙ by Liu Liu, et al. ∙ 0 ∙ share

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PIRT: A Runtime Framework to Enable Energy-Efficient Real-Time Robotic Applications on Heterogeneous Architectures

Enabling full robotic workloads with diverse behaviors on mobile systems...
02/23/2018 ∙ by Liu Liu, et al. ∙ 0 ∙ share

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Stochastic Zeroth-order Optimization via Variance Reduction method

Derivative-free optimization has become an important technique used in m...
05/30/2018 ∙ by Liu Liu, et al. ∙ 0 ∙ share

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Approximate Newton-based statistical inference using only stochastic gradients

We present a novel inference framework for convex empirical risk minimiz...
05/23/2018 ∙ by Tianyang Li, et al. ∙ 0 ∙ share

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Stochastically Controlled Stochastic Gradient for the Convex and Non-convex Composition problem

In this paper, we consider the convex and non-convex composition problem...
09/06/2018 ∙ by Liu Liu, et al. ∙ 0 ∙ share

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A Double Joint Bayesian Approach for J-Vector Based Text-dependent Speaker Verification

J-vector has been proved to be very effective in text-dependent speaker ...
11/17/2017 ∙ by Ziqiang Shi, et al. ∙ 0 ∙ share

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Stochastic Second-order Methods for Non-convex Optimization with Inexact Hessian and Gradient

Trust region and cubic regularization methods have demonstrated good per...
09/26/2018 ∙ by Liu Liu, et al. ∙ 0 ∙ share

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Dynamic Sparse Graph for Efficient Deep Learning

We propose to execute deep neural networks (DNNs) with dynamic and spars...
10/01/2018 ∙ by Liu Liu, et al. ∙ 0 ∙ share

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FurcaNeXt: End-to-end monaural speech separation with dynamic gated dilated temporal convolutional networks

Deep dilated temporal convolutional networks (TCN) have been proved to b...
02/12/2019 ∙ by Ziqiang Shi, et al. ∙ 0 ∙ share

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FurcaNet: An end-to-end deep gated convolutional, long short-term memory, deep neural networks for single channel speech separation

Deep gated convolutional networks have been proved to be very effective ...
02/02/2019 ∙ by Ziqiang Shi, et al. ∙ 0 ∙ share

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High Dimensional Robust Estimation of Sparse Models via Trimmed Hard Thresholding

We study the problem of sparsity constrained M-estimation with arbitrary...
01/24/2019 ∙ by Liu Liu, et al. ∙ 0 ∙ share

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Is CQT more suitable for monaural speech separation than STFT? an empirical study

Short-time Fourier transform (STFT) is used as the front end of many pop...
02/02/2019 ∙ by Ziqiang Shi, et al. ∙ 0 ∙ share

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Optimal Feature Transport for Cross-View Image Geo-Localization

This paper addresses the problem of cross-view image based localization,...
07/11/2019 ∙ by Yujiao Shi, et al. ∙ 0 ∙ share

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Image Harmonization Datasets: HCOCO, HAdobe5k, HFlickr, and Hday2night

Image composition is an important operation in image processing, but the...
08/28/2019 ∙ by Wenyan Cong, et al. ∙ 0 ∙ share

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Quantum algorithm for finding the negative curvature direction in non-convex optimization

We present an efficient quantum algorithm aiming to find the negative cu...
09/17/2019 ∙ by Kaining Zhang, et al. ∙ 0 ∙ share

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Encoding Selection for Solving Hamiltonian Cycle Problems with ASP

It is common for search and optimization problems to have alternative eq...
09/18/2019 ∙ by Liu Liu, et al. ∙ 0 ∙ share

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HODGEPODGE: Sound event detection based on ensemble of semi-supervised learning methods

In this paper, we present a method called HODGEPODGE[1] for large-scale ...
07/17/2019 ∙ by Ziqiang Shi, et al. ∙ 0 ∙ share

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Error estimate of a bi-fidelity method for kinetic equations with random parameters and multiple scales

In this paper, we conduct uniform error estimates of the bi-fidelity met...
10/20/2019 ∙ by Irene M. Gamba, et al. ∙ 0 ∙ share

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Hodge and Podge: Hybrid Supervised Sound Event Detection with Multi-Hot MixMatch and Composition Consistence Training

In this paper, we propose a method called Hodge and Podge for sound even...
02/13/2020 ∙ by Ziqiang Shi, et al. ∙ 0 ∙ share

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Liu Liu

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