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Frame Mining: a Free Lunch for Learning Robotic Manipulation from 3D Point Clouds


Oct 14, 2022
Minghua Liu, Xuanlin Li, Zhan Ling, Yangyan Li, Hao Su

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* Conference on Robot Learning (CoRL) 2022; Project Website: https://colin97.github.io/FrameMining/ 

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ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation


Aug 24, 2021
Jinming Cao, Hanchao Leng, Dani Lischinski, Danny Cohen-Or, Changhe Tu, Yangyan Li

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* ICCV2021 

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GSTO: Gated Scale-Transfer Operation for Multi-Scale Feature Learning in Pixel Labeling


Jun 28, 2020
Zhuoying Wang, Yongtao Wang, Zhi Tang, Yangyan Li, Ying Chen, Haibin Ling, Weisi Lin

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DO-Conv: Depthwise Over-parameterized Convolutional Layer


Jun 22, 2020
Jinming Cao, Yangyan Li, Mingchao Sun, Ying Chen, Dani Lischinski, Daniel Cohen-Or, Baoquan Chen, Changhe Tu

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Disentangling in Latent Space by Harnessing a Pretrained Generator


May 15, 2020
Yotam Nitzan, Amit Bermano, Yangyan Li, Daniel Cohen-Or

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* 17 pages, 10 figures 

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MixTConv: Mixed Temporal Convolutional Kernels for Efficient Action Recogntion


Jan 25, 2020
Kaiyu Shan, Yongtao Wang, Zhuoying Wang, Tingting Liang, Zhi Tang, Ying Chen, Yangyan Li

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* None 

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PointCNN: Convolution On $\mathcal{X}$-Transformed Points


Nov 05, 2018
Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Xinhan Di, Baoquan Chen

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* To be published in NIPS 2018, code available at https://github.com/yangyanli/PointCNN 

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