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Neighborhood-Regularized Self-Training for Learning with Few Labels


Jan 10, 2023
Ran Xu, Yue Yu, Hejie Cui, Xuan Kan, Yanqiao Zhu, Joyce Ho, Chao Zhang, Carl Yang

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* Accepted to AAAI 2023 

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Model-Agnostic Hierarchical Attention for 3D Object Detection


Jan 06, 2023
Manli Shu, Le Xue, Ning Yu, Roberto Martín-Martín, Juan Carlos Niebles, Caiming Xiong, Ran Xu

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LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer


Dec 19, 2022
Ning Yu, Chia-Chih Chen, Zeyuan Chen, Rui Meng, Gang Wu, Paul Josel, Juan Carlos Niebles, Caiming Xiong, Ran Xu

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ULIP: Learning Unified Representation of Language, Image and Point Cloud for 3D Understanding


Dec 10, 2022
Le Xue, Mingfei Gao, Chen Xing, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese

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Tackling Data Heterogeneity in Federated Learning with Class Prototypes


Dec 06, 2022
Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke, Lichao Sun, Ran Xu

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* Accepted for presentation at AAAI 2023. This is a technical report version that contains an appendix with additional details about experiments and proofs for technical results 

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Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks


Nov 01, 2022
Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang

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* Work in progress 

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Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach


Sep 15, 2022
Yue Yu, Rongzhi Zhang, Ran Xu, Jieyu Zhang, Jiaming Shen, Chao Zhang

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TAG: Boosting Text-VQA via Text-aware Visual Question-answer Generation


Aug 14, 2022
Jun Wang, Mingfei Gao, Yuqian Hu, Ramprasaath R. Selvaraju, Chetan Ramaiah, Ran Xu, Joseph F. JaJa, Larry S. Davis

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Use All The Labels: A Hierarchical Multi-Label Contrastive Learning Framework


Apr 27, 2022
Shu Zhang, Ran Xu, Caiming Xiong, Chetan Ramaiah

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* Accepted by CVPR, 2022 

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