Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Road Scene Segmentation from a Single Image
Jose M. Álvarez, Theo Gevers, Yann LeCun, et al.
Lecture notes in computer science (2012), pp. 376-389
Closed Access | Times Cited: 235

Showing 1-25 of 235 citing articles:

Brain tumor segmentation with Deep Neural Networks
Mohammad Havaei, Axel Davy, David Warde-Farley, et al.
Medical Image Analysis (2016) Vol. 35, pp. 18-31
Open Access | Times Cited: 2967
Image Segmentation Using Deep Learning: A Survey
Shervin Minaee, Yuri Boykov, Fatih Porikli, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021), pp. 1-1
Open Access | Times Cited: 2746
A survey on deep learning techniques for image and video semantic segmentation
Alberto García-García, Sergio Orts‐Escolano, Sergiu Oprea, et al.
Applied Soft Computing (2018) Vol. 70, pp. 41-65
Closed Access | Times Cited: 1313
A Review on Deep Learning Techniques Applied to Semantic Segmentation
Alberto García-García, Sergio Orts‐Escolano, Sergiu Oprea, et al.
arXiv (Cornell University) (2017)
Open Access | Times Cited: 1005
A new performance measure and evaluation benchmark for road detection algorithms
Jannik Fritsch, Tobias Kühnl, Andreas Geiger
(2013), pp. 1693-1700
Open Access | Times Cited: 625
Crowded Scene Analysis: A Survey
Teng Li, Huan Chang, Meng Wang, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2014) Vol. 25, Iss. 3, pp. 367-386
Open Access | Times Cited: 476
Automatic Road Detection and Centerline Extraction via Cascaded End-to-End Convolutional Neural Network
Guangliang Cheng, Ying Wang, Shibiao Xu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2017) Vol. 55, Iss. 6, pp. 3322-3337
Closed Access | Times Cited: 409
Embedding Structured Contour and Location Prior in Siamesed Fully Convolutional Networks for Road Detection
Qi Wang, Junyu Gao, Yuan Yuan
IEEE Transactions on Intelligent Transportation Systems (2017) Vol. 19, Iss. 1, pp. 230-241
Open Access | Times Cited: 229
Efficient deep models for monocular road segmentation
Gabriel L. Oliveira, Wolfram Burgard, Thomas Brox
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2016)
Closed Access | Times Cited: 196
Road Detection and Centerline Extraction Via Deep Recurrent Convolutional Neural Network U-Net
Xiaofei Yang, Xutao Li, Yunming Ye, et al.
IEEE Transactions on Geoscience and Remote Sensing (2019) Vol. 57, Iss. 9, pp. 7209-7220
Closed Access | Times Cited: 187
RoadNet: Learning to Comprehensively Analyze Road Networks in Complex Urban Scenes From High-Resolution Remotely Sensed Images
Yahui Liu, Jian Yao, Xiaohu Lu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2018) Vol. 57, Iss. 4, pp. 2043-2056
Closed Access | Times Cited: 167
HDMapNet: An Online HD Map Construction and Evaluation Framework
Qi Li, Yue Wang, Yilun Wang, et al.
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 4628-4634
Open Access | Times Cited: 159
Global context based automatic road segmentation via dilated convolutional neural network
Meng Lan, Yipeng Zhang, Lefei Zhang, et al.
Information Sciences (2020) Vol. 535, pp. 156-171
Closed Access | Times Cited: 141
Visual Tracking With Convolutional Random Vector Functional Link Network
Le Zhang, Ponnuthurai Nagaratnam Suganthan
IEEE Transactions on Cybernetics (2016) Vol. 47, Iss. 10, pp. 3243-3253
Closed Access | Times Cited: 156
Restricted Deformable Convolution-Based Road Scene Semantic Segmentation Using Surround View Cameras
Liuyuan Deng, Ming Yang, Hao Li, et al.
IEEE Transactions on Intelligent Transportation Systems (2019) Vol. 21, Iss. 10, pp. 4350-4362
Open Access | Times Cited: 136
LiDAR-Video Driving Dataset: Learning Driving Policies Effectively
Yiping Chen, Jingkang Wang, Jonathan Li, et al.
(2018)
Closed Access | Times Cited: 125
Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene Understanding
Dengxin Dai, Christos Sakaridis, Simon Hecker, et al.
International Journal of Computer Vision (2019) Vol. 128, Iss. 5, pp. 1182-1204
Closed Access | Times Cited: 124
The Role of Machine Vision for Intelligent Vehicles
Benjamin Ranft, Christoph Stiller
IEEE Transactions on Intelligent Vehicles (2016) Vol. 1, Iss. 1, pp. 8-19
Closed Access | Times Cited: 121
Segmenting Objects in Day and Night: Edge-Conditioned CNN for Thermal Image Semantic Segmentation
Chenglong Li, Wei Xia, Yan Yan, et al.
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 32, Iss. 7, pp. 3069-3082
Open Access | Times Cited: 115
CRF based road detection with multi-sensor fusion
Liang Xiao, Bin Dai, Daxue Liu, et al.
2022 IEEE Intelligent Vehicles Symposium (IV) (2015), pp. 192-198
Closed Access | Times Cited: 108
DAGMapper: Learning to Map by Discovering Lane Topology
Namdar Homayounfar, Justin Liang, Wei-Chiu Ma, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019)
Open Access | Times Cited: 102
VesselNet: A deep convolutional neural network with multi pathways for robust hepatic vessel segmentation
Titinunt Kitrungrotsakul, Xian‐Hua Han, Yutaro Iwamoto, et al.
Computerized Medical Imaging and Graphics (2019) Vol. 75, pp. 74-83
Closed Access | Times Cited: 98
DFD-Net: lung cancer detection from denoised CT scan image using deep learning
Worku J. Sori, Feng Jiang, Arero W. Godana, et al.
Frontiers of Computer Science (2020) Vol. 15, Iss. 2
Closed Access | Times Cited: 94
Map-supervised road detection
Ankit Laddha, Mehmet Kemal Kocamaz, Luis E. Navarro‐Serment, et al.
2022 IEEE Intelligent Vehicles Symposium (IV) (2016)
Closed Access | Times Cited: 91
The MaSTr1325 dataset for training deep USV obstacle detection models
Borja Bovcon, Jon Muhovič, Janez Perš, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2019), pp. 3431-3438
Closed Access | Times Cited: 84
Page 1 - Next Page

Scroll to top