1 code implementation • 20 Dec 2023 • Zhecheng Wang, Rajanie Prabha, Tianyuan Huang, Jiajun Wu, Ram Rajagopal
Remote sensing imagery, despite its broad applications in helping achieve Sustainable Development Goals and tackle climate change, has not yet benefited from the recent advancements of versatile, task-agnostic vision language models (VLMs).
no code implementations • 17 Oct 2023 • Esther Y. H. Lin, Zhecheng Wang, Rebecca Lin, Daniel Miau, Florian Kainz, Jiawen Chen, Xuaner Cecilia Zhang, David B. Lindell, Kiriakos N. Kutulakos
Optical blur is an inherent property of any lens system and is challenging to model in modern cameras because of their complex optical elements.
no code implementations • 4 Jan 2023 • Tianyuan Huang, Timothy Dai, Zhecheng Wang, Hesu Yoon, Hao Sheng, Andrew Y. Ng, Ram Rajagopal, Jackelyn Hwang
Neighborhood gentrification plays a significant role in shaping the social and economic well-being of both individuals and communities at large.
1 code implementation • 11 Jun 2021 • Mingxiang Chen, Zhanguo Chang, Haonan Lu, Bitao Yang, Zhuang Li, Liufang Guo, Zhecheng Wang
In our evaluations, the method outperforms all the state-of-the-art image retrieval algorithms on some out-of-domain image datasets.
no code implementations • 6 May 2021 • Tianyuan Huang, Zhecheng Wang, Hao Sheng, Andrew Y. Ng, Ram Rajagopal
Recent urbanization has coincided with the enrichment of geotagged data, such as street view and point-of-interest (POI).
1 code implementation • 10 Oct 2020 • Mingxiang Chen, Zhecheng Wang
In this paper, we propose a novel approach to generate images (or other artworks) by using neural cellular automatas (NCAs).
1 code implementation • 20 Sep 2020 • Mingxiang Chen, Qichang Chen, Lei Gao, Yilin Chen, Zhecheng Wang
This paper presents a novel framework using neural cellular automata (NCA) to regenerate and predict geographic information.
no code implementations • 29 Jan 2020 • Zhecheng Wang, Haoyuan Li, Ram Rajagopal
Understanding intrinsic patterns and predicting spatiotemporal characteristics of cities require a comprehensive representation of urban neighborhoods.
no code implementations • 19 Oct 2019 • Neel Guha, Zhecheng Wang, Matt Wytock, Arun Majumdar
We explore machine learning methods for AC Optimal Powerflow (ACOPF) - the task of optimizing power generation in a transmission network according while respecting physical and engineering constraints.