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Deep Variational Instance Segmentation

Jul 22, 2020
Jialin Yuan, Chao Chen, Li Fuxin


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Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform

Feb 04, 2020
Jun Li, Li Fuxin, Sinisa Todorovic

* ICLR 2020 conference paper 

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PointPWC-Net: A Coarse-to-Fine Network for Supervised and Self-Supervised Scene Flow Estimation on 3D Point Clouds

Nov 27, 2019
Wenxuan Wu, Zhiyuan Wang, Zhuwen Li, Wei Liu, Li Fuxin


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Visualizing Point Cloud Classifiers by Curvature Smoothing

Nov 27, 2019
Chen Ziwen, Wenxuan Wu, Zhongang Qi, Li Fuxin


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Implicit Generative Modeling for Efficient Exploration

Nov 19, 2019
Neale Ratzlaff, Qinxun Bai, Li Fuxin, Wei Xu

* 14 pages, 9 figures 

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Topology-Preserving Deep Image Segmentation

Jun 12, 2019
Xiaoling Hu, Li Fuxin, Dimitris Samaras, Chao Chen

* 11 pages, 7 figures 

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Visualizing Deep Networks by Optimizing with Integrated Gradients

May 02, 2019
Zhongang Qi, Saeed Khorram, Li Fuxin


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Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression

Apr 16, 2019
Xinyao Wang, Liefeng Bo, Li Fuxin


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HyperGAN: A Generative Model for Diverse, Performant Neural Networks

Jan 30, 2019
Neale Ratzlaff, Li Fuxin

* 11 pages, 10 figures, 6 tables 

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PointConv: Deep Convolutional Networks on 3D Point Clouds

Nov 17, 2018
Wenxuan Wu, Zhongang Qi, Li Fuxin


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Unifying Bilateral Filtering and Adversarial Training for Robust Neural Networks

Oct 08, 2018
Neale Ratzlaff, Li Fuxin

* 9 pages, 14 figures 

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