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Examining the Difference Among Transformers and CNNs with Explanation Methods


Dec 15, 2022
Mingqi Jiang, Saeed Khorram, Li Fuxin

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* 28 pages with 39 figures 

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BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation


Aug 08, 2022
Ye Yu, Jialin Yuan, Gaurav Mittal, Li Fuxin, Mei Chen

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* Accepted by ECCV 2022 (Oral) 

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PointConvFormer: Revenge of the Point-based Convolution


Aug 04, 2022
Wenxuan Wu, Qi Shan, Li Fuxin

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Cycle-Consistent Counterfactuals by Latent Transformations


Mar 28, 2022
Saeed Khorram, Li Fuxin

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From Heatmaps to Structural Explanations of Image Classifiers


Sep 13, 2021
Li Fuxin, Zhongang Qi, Saeed Khorram, Vivswan Shitole, Prasad Tadepalli, Minsuk Kahng, Alan Fern

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* Submitted to Applied AI Letters 

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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

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* 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

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* 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

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* 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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