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Causal inference using deep neural networks


Nov 25, 2020
Ye Yuan, Xueying Ding, Ziv Bar-Joseph


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Kinematics-Guided Reinforcement Learning for Object-Aware 3D Ego-Pose Estimation


Nov 15, 2020
Zhengyi Luo, Ryo Hachiuma, Ye Yuan, Shun Iwase, Kris M. Kitani

* Project website: https://zhengyiluo.github.io/projects/contextegopose/ 

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Scalable Graph Neural Networks via Bidirectional Propagation


Oct 29, 2020
Ming Chen, Zhewei Wei, Bolin Ding, Yaliang Li, Ye Yuan, Xiaoyong Du, Ji-Rong Wen

* NeurIPS 2020 

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PCAL: A Privacy-preserving Intelligent Credit Risk Modeling Framework Based on Adversarial Learning


Oct 06, 2020
Yuli Zheng, Zhenyu Wu, Ye Yuan, Tianlong Chen, Zhangyang Wang


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End-to-End 3D Multi-Object Tracking and Trajectory Forecasting


Aug 25, 2020
Xinshuo Weng, Ye Yuan, Kris Kitani

* Extended abstract. The first two authors contributed equally. Project website: http://www.xinshuoweng.com/projects/GNNTrkForecast. arXiv admin note: substantial text overlap with arXiv:2003.07847 

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AutoPose: Searching Multi-Scale Branch Aggregation for Pose Estimation


Aug 16, 2020
Xinyu Gong, Wuyang Chen, Yifan Jiang, Ye Yuan, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang


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Efficient Non-Line-of-Sight Imaging from Transient Sinograms


Aug 06, 2020
Mariko Isogawa, Dorian Chan, Ye Yuan, Kris Kitani, Matthew O'Toole

* ECCV 2020. Project page: https://marikoisogawa.github.io/project/c2nlos 

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On Deep Unsupervised Active Learning


Jul 28, 2020
Changsheng Li, Handong Ma, Zhao Kang, Ye Yuan, Xiao-Yu Zhang, Guoren Wang

* Accepted by IJCAI 2020 

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AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses


Jul 07, 2020
Zixuan Xu, Banghuai Li, Miao Geng, Ye Yuan, Gang Yu


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Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training


Jun 22, 2020
Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gong, Kewei Chen, Zhangyang Wang

* ICML 2020 accepted 

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Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis


Jun 12, 2020
Ye Yuan, Kris Kitani

* Video: https://youtu.be/XuzH1u78o1Y 

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Semi-Supervised Cervical Dysplasia Classification With Learnable Graph Convolutional Network


Apr 01, 2020
Yanglan Ou, Yuan Xue, Ye Yuan, Tao Xu, Vincent Pisztora, Jia Li, Xiaolei Huang

* ISBI 2020 

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Optical Non-Line-of-Sight Physics-based 3D Human Pose Estimation


Mar 31, 2020
Mariko Isogawa, Ye Yuan, Matthew O'Toole, Kris Kitani

* CVPR 2020. Video: https://youtu.be/4HFulrdmLE8. Project page: https://marikoisogawa.github.io/project/nlos_pose 

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BoostTree and BoostForest for Ensemble Learning


Mar 21, 2020
Changming Zhao, Dongrui Wu, Jian Huang, Ye Yuan, Hai-Tao Zhang


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DLow: Diversifying Latent Flows for Diverse Human Motion Prediction


Mar 18, 2020
Ye Yuan, Kris Kitani

* Video: https://youtu.be/64OEdSadb00 

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Joint 3D Tracking and Forecasting with Graph Neural Network and Diversity Sampling


Mar 17, 2020
Xinshuo Weng, Ye Yuan, Kris Kitani

* Code will be made available at https://github.com/xinshuoweng/GNNTrkForecast. The first two authors contributed equally to this work 

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Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery


Mar 03, 2020
Zepeng Huo, Arash PakBin, Xiaohan Chen, Nathan Hurley, Ye Yuan, Xiaoning Qian, Zhangyang Wang, Shuai Huang, Bobak Mortazavi

* 10 pages, 5 figures, accepted by AISTATS 2020 

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State-Aware Tracker for Real-Time Video Object Segmentation


Mar 01, 2020
Xi Chen, Zuoxin Li, Ye Yuan, Gang Yu, Jianxin Shen, Donglian Qi

* Accepted by CVPR2020 

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In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation


Dec 19, 2019
Ye Yuan, Wuyang Chen, Yang Yang, Zhangyang Wang


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A Practical Solution for SAR Despeckling with Only Single Speckled Images


Dec 13, 2019
Ye Yuan, Jianguo Sun, Jian Guan, Pengming Feng, Yanxia Wu

* 5 pages, 5 figures 

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Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification


Nov 27, 2019
Ye Yuan, Wuyang Chen, Tianlong Chen, Yang Yang, Zhou Ren, Zhangyang Wang, Gang Hua

* WACV 2020 accepted 

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Machine Discovery of Partial Differential Equations from Spatiotemporal Data


Sep 15, 2019
Ye Yuan, Junlin Li, Liang Li, Frank Jiang, Xiuchuan Tang, Fumin Zhang, Sheng Liu, Jorge Goncalves, Henning U. Voss, Xiuting Li, Jürgen Kurths, Han Ding


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ABD-Net: Attentive but Diverse Person Re-Identification


Aug 09, 2019
Tianlong Chen, Shaojin Ding, Jingyi Xie, Ye Yuan, Wuyang Chen, Yang Yang, Zhou Ren, Zhangyang Wang

* ICCV2019 

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Diverse Trajectory Forecasting with Determinantal Point Processes


Jul 11, 2019
Ye Yuan, Kris Kitani

* Video: https://youtu.be/5i71SU_IdS4 

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Ego-Pose Estimation and Forecasting as Real-Time PD Control


Jun 07, 2019
Ye Yuan, Kris Kitani

* Video: https://youtu.be/968IIDZeWE0 

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Generative Hybrid Representations for Activity Forecasting with No-Regret Learning


Apr 12, 2019
Jiaqi Guan, Ye Yuan, Kris M. Kitani, Nicholas Rhinehart

* 15 pages, 4 tables, 5 figures 

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UG$^{2+}$ Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments


Apr 09, 2019
Ye Yuan, Wenhan Yang, Wenqi Ren, Jiaying Liu, Walter J. Scheirer, Zhangyang Wang

* A summary paper on datasets, fact sheets and baseline results in UG$^{2+}$ Challenge (Track 2). More materials are provided in http://www.ug2challenge.org/index.html 

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