Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

 CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Liu Liu
CAA : Channelized Axial Attention for Semantic Segmentation

Jan 19, 2021
Ye Huang, Wenjing Jia, Xiangjian He, Liu Liu, Yuxin Li, Dacheng Tao

* Work done in Mid 2020 
  Access Paper or Ask Questions
SPINS: Structure Priors aided Inertial Navigation System

Dec 28, 2020
Yang Lyu, Thien-Minh Nguyen, Liu Liu, Muqing Cao, Shenghai Yuan, Thien Hoang Nguyen, Lihua Xie

* 14 pages, 14 figures 
  Access Paper or Ask Questions
PlueckerNet: Learn to Register 3D Line Reconstructions

Dec 02, 2020
Liu Liu, Hongdong Li, Haodong Yao, Ruyi Zha

* 12 pages 
  Access Paper or Ask Questions
On the Guaranteed Almost Equivalence between Imitation Learning from Observation and Demonstration

Oct 16, 2020
Zhihao Cheng, Liu Liu, Aishan Liu, Hao Sun, Meng Fang, Dacheng Tao


  Access Paper or Ask Questions
LoRRaL: Facial Action Unit Detection Based on Local Region Relation Learning

Sep 23, 2020
Ziqiang Shi, Liu Liu, Rujie Liu, Xiaoyu Mi, and Kentaro Murase


  Access Paper or Ask Questions
Weak-shot Fine-grained Classification via Similarity Transfer

Sep 19, 2020
Junjie Chen, Li Niu, Liu Liu, Liqing Zhang


  Access Paper or Ask Questions
Solving the Blind Perspective-n-Point Problem End-To-End With Robust Differentiable Geometric Optimization

Jul 29, 2020
Dylan Campbell, Liu Liu, Stephen Gould

* Accepted at ECCV 2020 (Oral) 
  Access Paper or Ask Questions
Robust Structured Statistical Estimation via Conditional Gradient Type Methods

Jul 07, 2020
Jiacheng Zhuo, Liu Liu, Constantine Caramanis


  Access Paper or Ask Questions
Robust compressed sensing of generative models

Jun 18, 2020
Ajil Jalal, Liu Liu, Alexandros G. Dimakis, Constantine Caramanis


  Access Paper or Ask Questions
Channel Attention based Iterative Residual Learning for Depth Map Super-Resolution

Jun 02, 2020
Xibin Song, Yuchao Dai, Dingfu Zhou, Liu Liu, Wei Li, Hongdng Li, Ruigang Yang

* accepted by Conference on Computer Vision and Pattern Recognition 2020 
  Access Paper or Ask Questions
Computation on Sparse Neural Networks: an Inspiration for Future Hardware

Apr 24, 2020
Fei Sun, Minghai Qin, Tianyun Zhang, Liu Liu, Yen-Kuang Chen, Yuan Xie

* 9 pages, 3 figures 
  Access Paper or Ask Questions
Learning 2D-3D Correspondences To Solve The Blind Perspective-n-Point Problem

Mar 15, 2020
Liu Liu, Dylan Campbell, Hongdong Li, Dingfu Zhou, Xibin Song, Ruigang Yang

* A blind-PnP solver 
  Access Paper or Ask Questions
Deep Image Harmonization via Domain Verification

Nov 27, 2019
Wenyan Cong, Jianfu Zhang, Li Niu, Liu Liu, Zhixin Ling, Weiyuan Li, Liqing Zhang

* 25 pages with Supplementary Material. arXiv admin note: text overlap with arXiv:1908.10526 
  Access Paper or Ask Questions
Encoding Selection for Solving Hamiltonian Cycle Problems with ASP

Sep 18, 2019
Liu Liu, Miroslaw Truszczynski

* EPTCS 306, 2019, pp. 302-308 
 * In Proceedings ICLP 2019, arXiv:1909.07646 
  Access Paper or Ask Questions
Quantum algorithm for finding the negative curvature direction in non-convex optimization

Sep 17, 2019
Kaining Zhang, Min-Hsiu Hsieh, Liu Liu, Dacheng Tao

* 29 pages, 2 figures 
  Access Paper or Ask Questions
NODE: Extreme Low Light Raw Image Denoising using a Noise Decomposition Network

Sep 11, 2019
Hao Guan, Liu Liu, Sean Moran, Fenglong Song, Gregory Slabaugh


  Access Paper or Ask Questions
Image Harmonization Datasets: HCOCO, HAdobe5k, HFlickr, and Hday2night

Aug 28, 2019
Wenyan Cong, Jianfu Zhang, Li Niu, Liu Liu, Zhixin Ling, Weiyuan Li, Liqing Zhang


  Access Paper or Ask Questions
Optimal Feature Transport for Cross-View Image Geo-Localization

Jul 12, 2019
Yujiao Shi, Xin Yu, Liu Liu, Tong Zhang, Hongdong Li


  Access Paper or Ask Questions
Lending Orientation to Neural Networks for Cross-view Geo-localization

Mar 29, 2019
Liu Liu, Hongdong Li

* CVPR2019. Codes and datasets are available at https://github.com/Liumouliu/OriCNN 
  Access Paper or Ask Questions
High Dimensional Robust Estimation of Sparse Models via Trimmed Hard Thresholding

Jan 24, 2019
Liu Liu, Tianyang Li, Constantine Caramanis


  Access Paper or Ask Questions
Dynamic Sparse Graph for Efficient Deep Learning

Oct 01, 2018
Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie


  Access Paper or Ask Questions
Stochastic Second-order Methods for Non-convex Optimization with Inexact Hessian and Gradient

Sep 26, 2018
Liu Liu, Xuanqing Liu, Cho-Jui Hsieh, Dacheng Tao


  Access Paper or Ask Questions
Stochastically Controlled Stochastic Gradient for the Convex and Non-convex Composition problem

Sep 06, 2018
Liu Liu, Ji Liu, Cho-Jui Hsieh, Dacheng Tao


  Access Paper or Ask Questions
Deep Stochastic Attraction and Repulsion Embedding for Image Based Localization

Aug 27, 2018
Liu Liu, Hongdong Li, Yuchao Dai

* This paper got the 3rd place at the Google Landmark Retrieval Challenge at CVPR 2018 
  Access Paper or Ask Questions
Stochastic Zeroth-order Optimization via Variance Reduction method

Aug 02, 2018
Liu Liu, Minhao Cheng, Cho-Jui Hsieh, Dacheng Tao


  Access Paper or Ask Questions
Person Re-identification Using Visual Attention

Jun 25, 2018
Alireza Rahimpour, Liu Liu, Ali Taalimi, Yang Song, Hairong Qi

* Published at IEEE International Conference on Image Processing 2017 Supplementary material added to the main paper in new version 
  Access Paper or Ask Questions
High Dimensional Robust Sparse Regression

May 29, 2018
Liu Liu, Yanyao Shen, Tianyang Li, Constantine Caramanis


  Access Paper or Ask Questions
Approximate Newton-based statistical inference using only stochastic gradients

May 23, 2018
Tianyang Li, Anastasios Kyrillidis, Liu Liu, Constantine Caramanis


  Access Paper or Ask Questions
Discriminative Cross-View Binary Representation Learning

Apr 04, 2018
Liu Liu, Hairong Qi

* WACV2018 
 * Published in WACV2018. Code will be available soon 
  Access Paper or Ask Questions