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OpenAlex Citation Counts

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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:

MDLFace: Memorability augmented deep learning for video face recognition
Gaurav Goswami, Romil Bhardwaj, Richa Singh, et al.
(2014), pp. 1-7
Closed Access | Times Cited: 54

Showing 26-50 of 54 citing articles:

What-If XAI Framework (WiXAI): From Counterfactuals towards Causal Understanding
Neelabh Kshetry, Mehmed Kantardzic
Journal of Computer and Communications (2024) Vol. 12, Iss. 06, pp. 169-198
Open Access | Times Cited: 1
Face recognition from video using generalized mean deep learning neural network
Poonam Sharma, Ram Narayan Yadav, K. V. Arya
(2016), pp. 195-199
Closed Access | Times Cited: 10
Learning Structure and Strength of CNN Filters for Small Sample Size Training
Rohit Keshari, Mayank Vatsa, Richa Singh, et al.
arXiv (Cornell University) (2018)
Closed Access | Times Cited: 11
Annotated crowd video face database
Tejas I. Dhamecha, Priyanka Verma, Mahek Shah, et al.
(2015), pp. 106-112
Closed Access | Times Cited: 6
Regularizing deep learning architecture for face recognition with weight variations
Shruti Nagpal, Maneet Singh, Mayank Vatsa, et al.
(2015), pp. 1-6
Closed Access | Times Cited: 6
Harnessing social context for improved face recognition
Romil Bhardwaj, Gaurav Goswami, Richa Singh, et al.
(2015), pp. 121-126
Closed Access | Times Cited: 5
CrowdFaceDB: Database and benchmarking for face verification in crowd
Tejas I. Dhamecha, Mahek Shah, Priyanka Verma, et al.
Pattern Recognition Letters (2018) Vol. 107, pp. 17-24
Closed Access | Times Cited: 5
GhostVLAD for set-based face recognition
Yujie Zhong, Relja Arandjelović, Andrew Zisserman
arXiv (Cornell University) (2018)
Open Access | Times Cited: 5
Smart Cities with Deep Edges
Gary White, Siobhán Clarke
Lecture notes in computer science (2019), pp. 53-64
Closed Access | Times Cited: 5
What Makes a Video Memorable?
Akankshya Kar, Prashasthi Mavin, Yogesh Ghaturle, et al.
(2017) Vol. 26, pp. 373-381
Closed Access | Times Cited: 4
Unraveling Human Perception of Facial Aging Using Eye Gaze
Daksha Yadav, Naman Kohli, Ekampreet Kalsi, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2018), pp. 2221-22217
Closed Access | Times Cited: 4
Scattering Transform for Matching Surgically Altered Face Images
Ishita Gupta, Ikshu Bhalla, Richa Singh, et al.
2022 26th International Conference on Pattern Recognition (ICPR) (2018), pp. 2215-2220
Closed Access | Times Cited: 4
Deep-learning-enhanced Digital Holographic Autofocus Imaging
Yang Zhang, Hongru Wang, Mingguang Shan
(2020), pp. 56-60
Closed Access | Times Cited: 4
Region-specific fMRI dictionary for decoding face verification in humans
Daksha Yadav, Naman Kohli, Shruti Nagpal, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2017), pp. 3814-3821
Closed Access | Times Cited: 3
Yoga Pose Identification Using Deep Learning
AK Verma, Divyanshu Sharma, Himanshu Aggarwal, et al.
Lecture notes in networks and systems (2024), pp. 203-213
Closed Access
Face Recognition – Extensive Survey and Recommendations
Ali Nadhim Razzaq, Rozaida Ghazali, Nidhal K. El Abbadi
2021 International Congress of Advanced Technology and Engineering (ICOTEN) (2021), pp. 1-10
Closed Access | Times Cited: 3
The Vision–Brain Hypothesis
Wenfeng Wang, Xiangyang Deng, Liang Ding, et al.
Research on intelligent manufacturing (2019), pp. 17-39
Closed Access | Times Cited: 2
Red Carpet to Fight Club: Partially-supervised Domain Transfer for Face Recognition in Violent Videos
Yunus Can Bilge, Mehmet Kerim Yucel, Ramazan Gökberk Cinbiş, et al.
(2021)
Open Access | Times Cited: 2
Insights of Feature Fusion for Video Memorability Prediction
Fumei Yue, Jing Li, Jiande Sun
Communications in computer and information science (2021), pp. 239-248
Closed Access | Times Cited: 2
BSF-RCNN-VFR: Background Subtracted Faster RCNN for Video based Face Recognition
M Seshaiah, Shrishail Math
International Journal of Engineering Research and (2019) Vol. 8, Iss. 6
Closed Access | Times Cited: 1
Video Face Recognition using Deep Learning based Representation
Shahzadi Asra
International Journal for Research in Applied Science and Engineering Technology (2019) Vol. 7, Iss. 3, pp. 53-58
Open Access | Times Cited: 1
Broad Recognition of Fake Faces
Bo Luan, Xiaoqiang Li, Wenfeng Wang
(2020), pp. 21-24
Closed Access | Times Cited: 1
RGB-D face recognition in surveillance videos
Anurag Chowdhury, Mayank Vatsa
(2016)
Closed Access
Can Deep Learning Models Select Portrait Images Like Humans? : Subjective and Objective Approaches
Maryam Karimi, Parvin Razzaghi
Research Square (Research Square) (2023)
Open Access
Can Deep Learning Models Select Portrait Images Like Humans?: Subjective and Objective Approaches
Maryam Karimi, Dr Parvin Razzaghi
(2023)
Open Access

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