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Understanding Traffic Density from Large-Scale Web Camera Data
17 March 2017
Shanghang Zhang
Guanhang Wu
João Paulo Costeira
José M. F. Moura
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Papers citing
"Understanding Traffic Density from Large-Scale Web Camera Data"
41 / 41 papers shown
Title
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MAFNet: A Multi-Attention Fusion Network for RGB-T Crowd Counting
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Junyuan Gao
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Qi. Wang
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Applications of Deep Learning in Fish Habitat Monitoring: A Tutorial and Survey
Alzayat Saleh
M. Sheaves
D. Jerry
M. R. Azghadi
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Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling
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Haowen Zhong
Junchi Yan
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Guile Wu
Fei Yang
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02 Jun 2022
Peng Cheng Object Detection Benchmark for Smart City
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R. Liu
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11 Mar 2022
Turning Traffic Monitoring Cameras into Intelligent Sensors for Traffic Density Estimation
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W. Lam
S. Wong
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Wei-Ying Ma
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29 Oct 2021
Identifying High Accuracy Regions in Traffic Camera Images to Enhance the Estimation of Road Traffic Metrics: A Quadtree-Based Method
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26 Jun 2021
Multi-Camera Vehicle Counting Using Edge-AI
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Claudio Gennaro
F. Carrara
Fabrizio Falchi
Claudio Vairo
Giuseppe Amato
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05 Jun 2021
Monocular 3D Vehicle Detection Using Uncalibrated Traffic Cameras through Homography
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Yuanxin Zhong
Pingping Lu
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John K. Lenneman
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Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm
Yasunori Akagi
Naoki Marumo
Hideaki Kim
Takeshi Kurashima
Hiroyuki Toda
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18 Feb 2021
Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting
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Jiaqi Chen
Hefeng Wu
Guanbin Li
Chenglong Li
Liang Lin
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08 Dec 2020
PSGCNet: A Pyramidal Scale and Global Context Guided Network for Dense Object Counting in Remote Sensing Images
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Qingjie Liu
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Lu Li
Qi Wen
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Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation
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Shanghang Zhang
Dongsheng Li
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Defining Traffic States using Spatio-temporal Traffic Graphs
Debaditya Roy
K. N. Kumar
C.Krishna Mohan
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Adversarial Weighting for Domain Adaptation in Regression
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Guillaume Richard
Francois Deheeger
Mathilde Mougeot
Nicolas Vayatis
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Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd Counting
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Unsupervised Vehicle Counting via Multiple Camera Domain Adaptation
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Carlos Santiago
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Claudio Gennaro
Giuseppe Amato
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CNN-based Density Estimation and Crowd Counting: A Survey
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Junyu Gao
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Qi. Wang
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Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey
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Yue Liu
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26 Feb 2020
From Data to Actions in Intelligent Transportation Systems: a Prescription of Functional Requirements for Model Actionability
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J. S. Medina
E. Vlahogianni
Javier Del Ser
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06 Feb 2020
Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection
Sara Beery
Guanhang Wu
V. Rathod
Ronny Votel
Jonathan Huang
ObjD
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Pose Guided Attention for Multi-label Fashion Image Classification
Beatriz Quintino Ferreira
João Paulo Costeira
R. Sousa
Liangyan Gui
J. P. Gomes
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12 Nov 2019
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting
Vishwanath A. Sindagi
Vishal M. Patel
88
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28 Aug 2019
Crowd Counting with Deep Structured Scale Integration Network
Lingbo Liu
Zhilin Qiu
Guanbin Li
Shufan Liu
Wanli Ouyang
Liang Lin
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Perception of visual numerosity in humans and machines
Alberto Testolin
S. Dolfi
Mathijs Rochus
Marco Zorzi
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16 Jul 2019
Providentia -- A Large-Scale Sensor System for the Assistance of Autonomous Vehicles and Its Evaluation
Annkathrin Krämmer
Christoph Schöller
Dhiraj Gulati
Venkatnarayanan Lakshminarasimhan
F. Kurz
D. Rosenbaum
Claus Lenz
Alois C. Knoll
135
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0
16 Jun 2019
Semantic Analysis of Traffic Camera Data: Topic Signal Extraction and Anomalous Event Detection
Jeffrey Liu
A. Weinert
Saurabh Amin
129
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17 May 2019
Towards Locally Consistent Object Counting with Constrained Multi-stage Convolutional Neural Networks
Muming Zhao
Jian Zhang
Chongyang Zhang
Wenjun Zhang
25
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06 Apr 2019
Counting with Focus for Free
Zenglin Shi
Pascal Mettes
Cees G. M. Snoek
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28 Mar 2019
Anomaly Detection in Road Traffic Using Visual Surveillance: A Survey
Santhosh Kelathodi Kumaran
D. P. Dogra
P. Roy
81
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Where are the Blobs: Counting by Localization with Point Supervision
I. Laradji
Negar Rostamzadeh
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David Vazquez
Mark Schmidt
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Learning Short-Cut Connections for Object Counting
Daniel Oñoro-Rubio
Mathias Niepert
Roberto J. López-Sastre
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08 May 2018
Generating High-Quality Crowd Density Maps using Contextual Pyramid CNNs
Vishwanath A. Sindagi
Vishal M. Patel
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FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras
Shanghang Zhang
Guanhang Wu
João Paulo Costeira
José M. F. Moura
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Spatiotemporal Modeling for Crowd Counting in Videos
Feng Xiong
Xingjian Shi
Dit-Yan Yeung
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Multiple Source Domain Adaptation with Adversarial Training of Neural Networks
Haiying Zhao
Shanghang Zhang
Guanhang Wu
João Paulo Costeira
José M. F. Moura
Geoffrey J. Gordon
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0
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