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Deep hybrid model with satellite imagery: how to combine demand modeling and computer vision for behavior analysis?

7 March 2023

Shenhao Wang

Papers citing "Deep hybrid model with satellite imagery: how to combine demand modeling and computer vision for behavior analysis?"

32 / 32 papers shown

Title
Mitigating Spatial Disparity in Urban Prediction Using Residual-Aware Spatiotemporal Graph Neural Networks: A Chicago Case Study Dingyi Zhuang Hanyong Xu Xiaotong Guo Yunhan Zheng Shenhao Wang Jinhua Zhao 132 0 0 20 Jan 2025
Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks Dingyi Zhuang Shenhao Wang Haris N. Koutsopoulos Jinhua Zhao 61 36 0 11 Aug 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 485 15,734 0 20 Dec 2021
Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models Yunhan Zheng Shenhao Wang Jinhuan Zhao HAI 92 28 0 25 Sep 2021
Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging Yuankai Wu Dingyi Zhuang Mengying Lei A. Labbe Lijun Sun AI4TS 85 25 0 24 Sep 2021
Combining Discrete Choice Models and Neural Networks through Embeddings: Formulation, Interpretability and Performance Ioanna Arkoudi C. L. Azevedo Francisco Câmara Pereira 68 18 0 24 Sep 2021
A variational autoencoder approach for choice set generation and implicit perception of alternatives in choice modeling Rui Yao S. Bekhor DRL 50 13 0 19 Jun 2021
Data Fusion for Deep Learning on Transport Mode Detection: A Case Study Hugues Moreau A. Vassilev Liming Chen 60 2 0 31 May 2021
Choice modelling in the age of machine learning -- discussion paper Sander van Cranenburgh S. Wang A. Vij Francisco Câmara Pereira J. Walker 72 92 0 28 Jan 2021
Taming Transformers for High-Resolution Image Synthesis Patrick Esser Robin Rombach Bjorn Ommer ViT 131 2,999 0 17 Dec 2020
Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks Shenhao Wang Baichuan Mo Jinhuan Zhao AI4CE 46 35 0 22 Oct 2020
Human Trajectory Forecasting in Crowds: A Deep Learning Perspective Parth Kothari S. Kreiss Alexandre Alahi HAI AI4TS 70 242 0 07 Jul 2020
Generating Interpretable Poverty Maps using Object Detection in Satellite Images Kumar Ayush Burak Uzkent Marshall Burke David B. Lobell Stefano Ermon 56 82 0 05 Feb 2020
Multi-level Convolutional Autoencoder Networks for Parametric Prediction of Spatio-temporal Dynamics Jiayang Xu Karthik Duraisamy AI4CE 56 143 0 23 Dec 2019
Ensemble Convolutional Neural Networks for Mode Inference in Smartphone Travel Survey A. Yazdizadeh Zachary Patterson Bilal Farooq AI4TS 41 52 0 18 Apr 2019
Semi-supervised GANs to Infer Travel Modes in GPS Trajectories A. Yazdizadeh Zachary Patterson Bilal Farooq AI4TS GAN 37 11 0 27 Feb 2019
Adversarially Approximated Autoencoder for Image Generation and Manipulation Wenju Xu Shawn Keshmiri Guanghui Wang GAN 69 72 0 14 Feb 2019
Modelling Latent Travel Behaviour Characteristics with Generative Machine Learning Melvin Wong Bilal Farooq 26 5 0 15 Sep 2018
Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer David Berthelot Colin Raffel Aurko Roy Ian Goodfellow 62 264 0 19 Jul 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 384 11,905 0 11 Jan 2018
A Neural Representation of Sketch Drawings David R Ha Douglas Eck 116 868 0 11 Apr 2017
Using convolutional networks and satellite imagery to identify patterns in urban environments at a large scale A. Albert Jasleen Kaur Marta C. González 30 197 0 10 Apr 2017
Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US Timnit Gebru J. Krause Yilun Wang Duyun Chen Jia Deng Erez Aiden Lieberman Li Fei-Fei HAI 117 418 0 22 Feb 2017
Autoencoder Regularized Network For Driving Style Representation Learning Weishan Dong Ting Yuan Kai Yang Changsheng Li Shilei Zhang 36 59 0 05 Jan 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 522 10,347 0 16 Nov 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 324 20,086 0 07 Oct 2016
Adversarially Learned Inference Vincent Dumoulin Ishmael Belghazi Ben Poole Olivier Mastropietro Alex Lamb Martín Arjovsky Aaron Courville GAN 85 1,314 0 02 Jun 2016
Asynchrony begets Momentum, with an Application to Deep Learning Jeff Donahue Philipp Krahenbuhl Stefan Hadjis Christopher Ré 92 142 0 31 May 2016
Autoencoding beyond pixels using a learned similarity metric Anders Boesen Lindbo Larsen Søren Kaae Sønderby Hugo Larochelle Ole Winther GAN 175 2,073 0 31 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
The Benefit of Multitask Representation Learning Andreas Maurer Massimiliano Pontil Bernardino Romera-Paredes SSL 109 375 0 23 May 2015
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 251 4,681 0 21 Dec 2014