Zengyan Wang — accepted AI-conference papers

2026

Sky2Ground: A Benchmark for Site Modeling under Varying Altitude

Zengyan Wang, Sirshapan Mitra, Rajat Modi, Hui Lim, Yogesh Rawat

CVPR 2026

In this work, we propose the problem of localizing cameras and producing renders of a scene, given multiple images captured from ground/aerial/satellite viewpoints. We introduce a dataset called Sky2Ground, which contains synthetic/real images across all 3 viewpoints, along with camera parameters, a

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2019

Online Decentralized Leverage Score Sampling for Streaming Multidimensional Time Series

Rui Xie, Zengyan Wang, Shuyang Bai, Ping Ma, Wenxuan Zhong

AISTATS 2019poster

Estimating the dependence structure of multidimensional time series data in real-time is challenging. With large volumes of streaming data, the problem becomes more difficult when the multidimensional data are collected asynchronously across distributed nodes, which motivates us to sample representa…

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