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Stochastic Block-ADMM for Training Deep Networks


May 01, 2021
Saeed Khorram, Xiao Fu, Mohamad H. Danesh, Zhongang Qi, Li Fuxin


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Deep Convolution for Irregularly Sampled Temporal Point Clouds


May 01, 2021
Erich Merrill, Stefan Lee, Li Fuxin, Thomas G. Dietterich, Alan Fern

* 12 pages, submitted to ICLR 2021 

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Topology-Aware Segmentation Using Discrete Morse Theory


Mar 18, 2021
Xiaoling Hu, Yusu Wang, Li Fuxin, Dimitris Samaras, Chao Chen

* 19 pages, 11 figures 

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Generative Particle Variational Inference via Estimation of Functional Gradients


Mar 01, 2021
Neale Ratzlaff, Qinxun Bai, Li Fuxin, Wei Xu

* 10 pages, 3 figures, 4 tables, 1 algorithm 

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The Devils in the Point Clouds: Studying the Robustness of Point Cloud Convolutions


Jan 28, 2021
Xingyi Li, Wenxuan Wu, Xiaoli Z. Fern, Li Fuxin


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Discriminative Appearance Modeling with Multi-track Pooling for Real-time Multi-object Tracking


Jan 28, 2021
Chanho Kim, Li Fuxin, Mazen Alotaibi, James M. Rehg


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Structured Attention Graphs for Understanding Deep Image Classifications


Dec 08, 2020
Vivswan Shitole, Li Fuxin, Minsuk Kahng, Prasad Tadepalli, Alan Fern

* 26 pages, 25 figures 

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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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