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FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer


Jan 20, 2023
Zhijian Liu, Xinyu Yang, Haotian Tang, Shang Yang, Song Han

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* The first two authors contributed equally to this work 

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Zebra: Deeply Integrating System-Level Provenance Search and Tracking for Efficient Attack Investigation


Nov 10, 2022
Xinyu Yang, Haoyuan Liu, Ziyu Wang, Peng Gao

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Multi-Domain Long-Tailed Learning by Augmenting Disentangled Representations


Oct 25, 2022
Huaxiu Yao, Xinyu Yang, Allan Zhou, Chelsea Finn

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A Review and Roadmap of Deep Learning Causal Discovery in Different Variable Paradigms


Sep 14, 2022
Hang Chen, Keqing Du, Xinyu Yang, Chenguang Li

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* 26 pages,10 figures. arXiv admin note: text overlap with arXiv:2012.07138, arXiv:1605.08179, arXiv:2203.14237 by other authors 

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Learning a General Clause-to-Clause Relationships for Enhancing Emotion-Cause Pair Extraction


Aug 30, 2022
Hang Chen, Xinyu Yang, Xiang Li

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Video-TransUNet: Temporally Blended Vision Transformer for CT VFSS Instance Segmentation


Aug 22, 2022
Chengxi Zeng, Xinyu Yang, Majid Mirmehdi, Alberto M Gambaruto, Tilo Burghardt

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* Accepted by International Conference on Machine Vision 2022 

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Cross-Skeleton Interaction Graph Aggregation Network for Representation Learning of Mouse Social Behaviour


Aug 07, 2022
Feixiang Zhou, Xinyu Yang, Fang Chen, Long Chen, Zheheng Jiang, Hui Zhu, Reiko Heckel, Haikuan Wang, Minrui Fei, Huiyu Zhou

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FACM: Correct the Output of Deep Neural Network with Middle Layers Features against Adversarial Samples


Jun 02, 2022
Xiangyuan Yang, Jie Lin, Hanlin Zhang, Xinyu Yang, Peng Zhao

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Mask-Guided Divergence Loss Improves the Generalization and Robustness of Deep Neural Network


Jun 02, 2022
Xiangyuan Yang, Jie Lin, Hanlin Zhang, Xinyu Yang, Peng Zhao

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BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation


May 26, 2022
Zhijian Liu, Haotian Tang, Alexander Amini, Xinyu Yang, Huizi Mao, Daniela Rus, Song Han

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* The first two authors contributed equally to this work. Project page: https://bevfusion.mit.edu 

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