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Synergy Between Semantic Segmentation and Image Denoising via Alternate Boosting

Feb 24, 2021
Shunxin Xu, Ke Sun, Dong Liu, Zhiwei Xiong, Zheng-Jun Zha


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Belief Space Planning for Mobile Robots with Range Sensors using iLQG

Feb 10, 2021
Ke Sun, Vijay Kumar

* Accepted by Robotics and Automation Letters 

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Stochastic Motion Planning under Partial Observability for Mobile Robots with Continuous Range Measurements

Dec 02, 2020
Ke Sun, Brent Schlotfeldt, George Pappas, Vijay Kumar

* Accepeted by IEEE Transactions on Robotics 

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Effectiveness of MPC-friendly Softmax Replacement

Nov 23, 2020
Marcel Keller, Ke Sun

* 6 pages, PPML/PriML workshop at NeurIPS 2020 

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A Practical Chinese Dependency Parser Based on A Large-scale Dataset

Sep 03, 2020
Shuai Zhang, Lijie Wang, Ke Sun, Xinyan Xiao


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Multivariate Relations Aggregation Learning in Social Networks

Aug 09, 2020
Jin Xu, Shuo Yu, Ke Sun, Jing Ren, Ivan Lee, Shirui Pan, Feng Xia

* ACM/IEEE Joint Conference on Digital Libraries (JCDL 2020), Wuhan, China, August 1 - 5, 2020 
* 11 pages, 6 figures 

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Feedback Enhanced Motion Planning for Autonomous Vehicles

Jul 11, 2020
Ke Sun, Brent Schlotfeldt, Stephen Chaves, Paul Martin, Gulshan Mandhyan, Vijay Kumar

* To appear in IROS 2020 

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Bottom-Up Human Pose Estimation by Ranking Heatmap-Guided Adaptive Keypoint Estimates

Jun 28, 2020
Ke Sun, Zigang Geng, Depu Meng, Bin Xiao, Dong Liu, Zhaoxiang Zhang, Jingdong Wang


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Classify and Generate Reciprocally: Simultaneous Positive-Unlabelled Learning and Conditional Generation with Extra Data

Jun 14, 2020
Bing Yu, Ke Sun, He Wang, Zhouchen Lin, Zhanxing Zhu


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milliEgo: mmWave Aided Egomotion Estimation with Deep Sensor Fusion

Jun 03, 2020
Chris Xiaoxuan Lu, Muhamad Risqi U. Saputra, Peijun Zhao, Yasin Almalioglu, Pedro P. B. de Gusmao, Changhao Chen, Ke Sun, Niki Trigoni, Andrew Markham

* 11 pages 

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Information-Geometric Set Embeddings (IGSE): From Sets to Probability Distributions

Dec 11, 2019
Ke Sun, Frank Nielsen

* To be presented at Sets & Partitions (NeurIPS 2019 workshop) 

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Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy

Nov 21, 2019
Ke Sun, Bing Yu, Zhouchen Lin, Zhanxing Zhu


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A Note on Our Submission to Track 4 of iDASH 2019

Oct 24, 2019
Marcel Keller, Ke Sun

* 4 pages 

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Deep High-Resolution Representation Learning for Visual Recognition

Aug 20, 2019
Jingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, Wenyu Liu, Bin Xiao

* arXiv admin note: text overlap with arXiv:1904.04514 

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AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models

Aug 14, 2019
Ke Sun, Zhouchen Lin, Zhanxing Zhu


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Learning Deep Image Priors for Blind Image Denoising

Jun 04, 2019
Xianxu Hou, Hongming Luo, Jingxin Liu, Bolei Xu, Ke Sun, Yuanhao Gong, Bozhi Liu, Guoping Qiu


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Improving Variational Autoencoder with Deep Feature Consistent and Generative Adversarial Training

Jun 04, 2019
Xianxu Hou, Ke Sun, Linlin Shen, Guoping Qiu

* Accepted in Neurocomputing, 2019. arXiv admin note: text overlap with arXiv:1610.00291 

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Lightlike Neuromanifolds, Occam's Razor and Deep Learning

May 27, 2019
Ke Sun, Frank Nielsen

* Submitted to NeurIPS 2019 

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High-Resolution Representations for Labeling Pixels and Regions

Apr 09, 2019
Ke Sun, Yang Zhao, Borui Jiang, Tianheng Cheng, Bin Xiao, Dong Liu, Yadong Mu, Xinggang Wang, Wenyu Liu, Jingdong Wang


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Fisher-Bures Adversary Graph Convolutional Networks

Mar 11, 2019
Ke Sun, Piotr Koniusz, Jeff Wang


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Virtual Adversarial Training on Graph Convolutional Networks in Node Classification

Feb 28, 2019
Ke Sun, Hantao Guo, Zhanxing Zhu, Zhouchen Lin


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Multi-Stage Self-Supervised Learning for Graph Convolutional Networks

Feb 28, 2019
Ke Sun, Zhanxing Zhu, Zhouchen Lin


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Enhancing the Robustness of Deep Neural Networks by Boundary Conditional GAN

Feb 28, 2019
Ke Sun, Zhanxing Zhu, Zhouchen Lin


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Towards Understanding Adversarial Examples Systematically: Exploring Data Size, Task and Model Factors

Feb 28, 2019
Ke Sun, Zhanxing Zhu, Zhouchen Lin


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Deep High-Resolution Representation Learning for Human Pose Estimation

Feb 25, 2019
Ke Sun, Bin Xiao, Dong Liu, Jingdong Wang

* accepted by CVPR2019 

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Relative Geometry-Aware Siamese Neural Network for 6DOF Camera Relocalization

Jan 21, 2019
Qing Li, Jiasong Zhu, Rui Cao, Ke Sun, Jonathan M. Garibaldi, Qingquan Li, Bozhi Liu, Guoping Qiu


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On The Chain Rule Optimal Transport Distance

Dec 19, 2018
Frank Nielsen, Ke Sun

* 15 pages 

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Intrinsic Universal Measurements of Non-linear Embeddings

Nov 05, 2018
Ke Sun

* work in progress 

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Stochastic 2-D Motion Planning with a POMDP Framework

Sep 29, 2018
Ke Sun, Vijay Kumar

* Submitted to ICRA 2019 

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