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Jianwen Xie
Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler

Dec 29, 2020
Jianwen Xie, Zilong Zheng, Ping Li


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Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis

Dec 25, 2020
Jianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang, Song-Chun Zhu, Ying Nian Wu

* 16 pages. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2020. arXiv admin note: substantial text overlap with arXiv:1804.00586 
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Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection

Jul 23, 2020
Jing Zhang, Jianwen Xie, Nick Barnes

* ECCV2020 
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A Representational Model of Grid Cells Based on Matrix Lie Algebras

Jun 18, 2020
Ruiqi Gao, Jianwen Xie, Song-Chun Zhu, Ying Nian Wu


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Generative PointNet: Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification

Apr 02, 2020
Jianwen Xie, Yifei Xu, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu


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Representation Learning: A Statistical Perspective

Nov 26, 2019
Jianwen Xie, Ruiqi Gao, Erik Nijkamp, Song-Chun Zhu, Ying Nian Wu

* Annual Review of Statistics and Its Application 2020 
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Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns

Nov 26, 2019
Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu

* The Thirty-Fourth AAAI Conference on Artificial Intelligence 2020 
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Learning Energy-based Spatial-Temporal Generative ConvNets for Dynamic Patterns

Sep 26, 2019
Jianwen Xie, Song-Chun Zhu, Ying Nian Wu

* IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2019 
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Learning Feature-to-Feature Translator by Alternating Back-Propagation for Zero-Shot Learning

Apr 22, 2019
Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal

* under review 
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Efficient Video Scene Text Spotting: Unifying Detection, Tracking, and Recognition

Mar 08, 2019
Zhanzhan Cheng, Jing Lu, Jianwen Xie, Yi Niu, Shiliang Pu, Fei Wu


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Learning where to look: Semantic-Guided Multi-Attention Localization for Zero-Shot Learning

Mar 01, 2019
Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal

* under review 
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Multimodal Conditional Learning with Fast Thinking Policy-like Model and Slow Thinking Planner-like Model

Feb 07, 2019
Jianwen Xie, Zilong Zheng, Xiaolin Fang, Song-Chun Zhu, Ying Nian Wu


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Learning Dynamic Generator Model by Alternating Back-Propagation Through Time

Dec 27, 2018
Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu

* The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI) 2019 
 * 10 pages 
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Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection

Nov 19, 2018
Yunlu Xu, Chengwei Zhang, Zhanzhan Cheng, Jianwen Xie, Yi Niu, Shiliang Pu, Fei Wu

* Accepted to Proc. AAAI Conference on Artificial Intelligence 2019 
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Cooperative Training of Descriptor and Generator Networks

Oct 29, 2018
Jianwen Xie, Yang Lu, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu

* 18 pages 
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Learning Grid-like Units with Vector Representation of Self-Position and Matrix Representation of Self-Motion

Oct 12, 2018
Ruiqi Gao, Jianwen Xie, Song-Chun Zhu, Ying Nian Wu


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Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer

May 11, 2018
Hao-Shu Fang, Guansong Lu, Xiaolin Fang, Jianwen Xie, Yu-Wing Tai, Cewu Lu

* CVPR'18 spotlight 
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Learning Descriptor Networks for 3D Shape Synthesis and Analysis

Apr 02, 2018
Jianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang, Song-Chun Zhu, Ying Nian Wu

* CVPR 2018 
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A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects

Mar 29, 2018
Yuanlu Xu, Lei Qin, Xiaobai Liu, Jianwen Xie, Song-Chun Zhu

* accepted by CVPR 2018 
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Super-Trajectory for Video Segmentation

Jul 24, 2017
Wenguan Wang, Jianbing Shen, Jianwen Xie, Fatih Porikli

* This paper has been published in ICCV 2017 
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Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet

May 29, 2017
Jianwen Xie, Song-Chun Zhu, Ying Nian Wu


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Decoding the Encoding of Functional Brain Networks: an fMRI Classification Comparison of Non-negative Matrix Factorization (NMF), Independent Component Analysis (ICA), and Sparse Coding Algorithms

Jul 01, 2016
Jianwen Xie, Pamela K. Douglas, Ying Nian Wu, Arthur L. Brody, Ariana E. Anderson


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A Theory of Generative ConvNet

May 31, 2016
Jianwen Xie, Yang Lu, Song-Chun Zhu, Ying Nian Wu


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