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Xin He

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UAV-Rain1k: A Benchmark for Raindrop Removal from UAV Aerial Imagery

Feb 08, 2024
Wenhui Chang, Hongming Chen, Xin He, Xiang Chen, Liangduo Shen

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ONE-SA: Enabling Nonlinear Operations in Systolic Arrays for Efficient and Flexible Neural Network Inference

Feb 01, 2024
Ruiqi Sun, Yinchen Ni, Xin He, Jie Zhao, An Zou

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Incorporating Visual Experts to Resolve the Information Loss in Multimodal Large Language Models

Jan 13, 2024
Xin He, Longhui Wei, Lingxi Xie, Qi Tian

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Search Optimization with Query Likelihood Boosting and Two-Level Approximate Search for Edge Devices

Dec 12, 2023
Jianwei Zhang, Helian Feng, Xin He, Grant P. Strimel, Farhad Ghassemi, Ali Kebarighotbi

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Boosting Segment Anything Model Towards Open-Vocabulary Learning

Dec 06, 2023
Xumeng Han, Longhui Wei, Xuehui Yu, Zhiyang Dou, Xin He, Kuiran Wang, Zhenjun Han, Qi Tian

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Multiplayer Homicidal Chauffeur Reach-Avoid Games: A Pursuit Enclosure Function Approach

Nov 04, 2023
Rui Yan, Xiaoming Duan, Rui Zou, Xin He, Zongying Shi, Francesco Bullo

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SemanticBoost: Elevating Motion Generation with Augmented Textual Cues

Oct 31, 2023
Xin He, Shaoli Huang, Xiaohang Zhan, Chao Wen, Ying Shan

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Minimax Optimal Transfer Learning for Kernel-based Nonparametric Regression

Oct 21, 2023
Chao Wang, Caixing Wang, Xin He, Xingdong Feng

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Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift

Oct 19, 2023
Xingdong Feng, Xin He, Caixing Wang, Chao Wang, Jingnan Zhang

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Structural transfer learning of non-Gaussian DAG

Oct 16, 2023
Mingyang Ren, Xin He, Junhui Wang

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