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.
no code implementations • CVPR 2023 • Ruixuan Cong, Da Yang, Rongshan Chen, Sizhe Wang, Zhenglong Cui, Hao Sheng
The other is explicit feature propagation that directly warps features of other views to central view under the guidance of disparity.
no code implementations • 30 Jan 2022 • Meiqing Li, Hao Sheng
This is an extended abstract for a presentation at The 17th International Conference on CUPUM - Computational Urban Planning and Urban Management in June 2021.
1 code implementation • NeurIPS 2021 • Zhiyuan Jerry Lin, Hao Sheng, Sharad Goel
Given a collection of such probability paths, we introduce a Bayesian framework -- which we call the Gaussian latent information martingale, or GLIM -- for modeling the structure of dynamic predictions over time.
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).
no code implementations • 4 May 2021 • Hao Sheng, Keniel Yao, Sharad Goel
In a detailed analysis of the 10 U. S. cities, we find that cameras are concentrated in commercial, industrial, and mixed zones, and in neighborhoods with higher shares of non-white residents -- a pattern that persists even after adjusting for land use.
no code implementations • 24 Jan 2021 • Zekai Chen, Jiaze E, Xiao Zhang, Hao Sheng, Xiuzheng Cheng
Time series forecasting is a key component in many industrial and business decision processes and recurrent neural network (RNN) based models have achieved impressive progress on various time series forecasting tasks.
no code implementations • ICCV 2021 • Shuai Wang, Hao Sheng, Yang Zhang, Yubin Wu, Zhang Xiong
Based on this framework, a Recurrent Tracking Unit (RTU) is designed to score potential tracks through long-term information.
no code implementations • 25 Nov 2020 • Eric Li, Jingyi Su, Hao Sheng, Lawrence Wai
Multiple-choice questions (MCQs) offer the most promising avenue for skill evaluation in the era of virtual education and job recruiting, where traditional performance-based alternatives such as projects and essays have become less viable, and grading resources are constrained.
no code implementations • 15 Nov 2020 • Youming Tao, Shuzhen Chen, Feng Li, Dongxiao Yu, Jiguo Yu, Hao Sheng
In this paper, we study a distributed privacy-preserving learning problem in social networks with general topology.
no code implementations • 14 Nov 2020 • Hao Sheng, Jeremy Irvin, Sasankh Munukutla, Shawn Zhang, Christopher Cross, Kyle Story, Rose Rustowicz, Cooper Elsworth, Zutao Yang, Mark Omara, Ritesh Gautam, Robert B. Jackson, Andrew Y. Ng
In this work, we develop deep learning algorithms that leverage freely available high-resolution aerial imagery to automatically detect oil and gas infrastructure, one of the largest contributors to global methane emissions.
1 code implementation • 11 Nov 2020 • Jeremy Irvin, Hao Sheng, Neel Ramachandran, Sonja Johnson-Yu, Sharon Zhou, Kyle Story, Rose Rustowicz, Cooper Elsworth, Kemen Austin, Andrew Y. Ng
Characterizing the processes leading to deforestation is critical to the development and implementation of targeted forest conservation and management policies.
no code implementations • 27 Oct 2020 • Xiaoting Wang, Xiaozhe Wang, Hao Sheng, Xi Lin
The increasing uncertainty level caused by growing renewable energy sources (RES) and aging transmission networks poses a great challenge in the assessment of total transfer capability (TTC) and available transfer capability (ATC).
no code implementations • 9 Oct 2020 • Eric Zelikman, Sharon Zhou, Jeremy Irvin, Cooper Raterink, Hao Sheng, Anand Avati, Jack Kelly, Ram Rajagopal, Andrew Y. Ng, David Gagne
Advancing probabilistic solar forecasting methods is essential to supporting the integration of solar energy into the electricity grid.
no code implementations • 7 May 2020 • Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Ng
How can we effectively leverage the domain knowledge from remote sensing to better segment agriculture land cover from satellite images?
1 code implementation • 21 Apr 2020 • Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Junhee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt B. Salberg, Alexandre Barbosa, Rodrigo Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Ng, Van Thong Huynh, Soo-Hyung Kim, In-Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay Talbar, Jianyu Tang
The first Agriculture-Vision Challenge aims to encourage research in developing novel and effective algorithms for agricultural pattern recognition from aerial images, especially for the semantic segmentation task associated with our challenge dataset.
no code implementations • 15 Apr 2019 • Zhong Li, Jinwei Ye, Yu Ji, Hao Sheng, Jingyi Yu
Particle Imaging Velocimetry (PIV) estimates the flow of fluid by analyzing the motion of injected particles.
no code implementations • 4 Apr 2019 • Minye Wu, Haibin Ling, Ning Bi, Shenghua Gao, Hao Sheng, Jingyi Yu
A natural solution to these challenges is to use multiple cameras with multiview inputs, though existing systems are mostly limited to specific targets (e. g. human), static cameras, and/or camera calibration.