Face recognition (LFW, CelebA, VGGFace2)

data category: Face, person and video benchmarks · 0 papers in the last 7 days

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Faces, people, poses, facial expressions and human actions in images and video.

Names searched for: Labeled Faces in the Wild, LFW, CelebA, VGGFace2, CASIA-WebFace, MegaFace

Key findings#

From Nov 2023 to Oct 2026, 211 archived papers mentioned Face recognition (LFW, CelebA, VGGFace2) in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jan 2025 (11).
Face recognition (LFW, CelebA, VGGFace2) was mentioned in 3 papers in the last 30 days (2026-10-06 to 2026-11-04), ranking #106 of the 255 datasets mentioned.
By journal category: AI (3).
Most of them appeared in Data Mining and Knowledge Discovery (1), Language Resources and Evaluation (1) and Machine Learning (1).
From 2017 to 2026 (so far), Face recognition (LFW, CelebA, VGGFace2) was mentioned in 292 papers in the tracked journals, most of them in AI (281), statistics (4) and information systems (3).
80 of them were published in 2025, against 9 in 2017.
Since 2023, the institutions with the most of these papers were Chinese Academy of Sciences (20), Institute of Automation (11) and Tsinghua University (9).
The journals publishing most of them were IEEE Transactions on Pattern Analysis and Machine Intelligence (45), International Journal of Computer Vision (22) and Pattern Recognition (19).
The most-cited of them is “Image Super-Resolution Via Iterative Refinement” (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022), with 1,831 citations.
Papers use Face recognition (LFW, CelebA, VGGFace2) most often with ImageNet (100), MNIST / Fashion-MNIST (72) and CIFAR-10 / CIFAR-100 (69); it has 38 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.

Mentions over 36 months#

Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)
Trend	Nov 23–Oct 24	Nov 24–Oct 25	Nov 25–Oct 26	36 months
	78	84	49	211

Papers per year#

20172026 (so far)

Papers per publication year and category
Category	2017	2018	2019	2020	2021	2022	2023	2024	2025	2026 (so far)
AI	9	9	5	8	15	11	29	86	77	32
Statistics	0	0	0	0	0	0	0	0	2	2
Information Systems	0	0	0	0	0	2	0	1	0	0
Higher Education and Research	0	0	0	0	0	0	0	0	1	0
Economics	0	0	0	0	0	0	0	0	0	1
Marketing	0	0	0	0	0	0	0	0	0	1
Operations Research	0	0	0	0	0	0	0	1	0	0
All categories	9	9	5	8	15	13	29	88	80	36

Where the papers come from#

Journals with the most papers, since 2023
#	Journal	Papers
1	IEEE Transactions on Pattern Analysis and Machine Intelligence	45
2	International Journal of Computer Vision	22
3	Pattern Recognition	19
4	Artificial Intelligence Review	18
5	IEEE Transactions on Neural Networks and Learning Systems	17
6	IEEE Transactions on Artificial Intelligence	14
7	Machine Learning	13
8	Neural Computing and Applications	11
9	Information Fusion	11
10	Expert Systems with Applications	9

Institutions with the most papers, since 2023
#	Institution	Papers
1	Chinese Academy of Sciences	20
2	Institute of Automation	11
3	Tsinghua University	9
4	University of Chinese Academy of Sciences	9
5	Nanyang Technological University	8
6	Shanghai Jiao Tong University	7
7	Fudan University	6
8	Sun Yat-sen University	6
9	Beihang University	5
10	Korea University	5

Countries with the most papers, since 2023
#	Country	Papers
1	China	106
2	United States	41
3	United Kingdom	21
4	Germany	20
5	Australia	19
6	South Korea	14
7	Italy	13
8	Singapore	12
9	Hong Kong	11
10	Spain	10

Keywords with the most papers, since 2023
#	Keyword	Papers
1	generative adversarial networks	31
2	diffusion models	23
3	image generation	23
4	CelebA	19
5	face recognition	19
6	generative models	12
7	variational autoencoder	11
8	class imbalance	10
9	CelebA-HQ	9
10	multi-task learning	9

Most-cited papers#

Most-cited papers since 2017
#	Citations	Per month	Title	Journal	Published	Authors
1	1,831	31.5	Image Super-Resolution Via Iterative Refinement	IEEE Transactions on Pattern Analysis and Machine Intelligence	2022-01-01	Chitwan Saharia, Jonathan Ho, William Chan et al.
2	613	18.5	Autoencoders and their applications in machine learning: a survey	Artificial Intelligence Review	2024-02-03	Kamal Berahmand, Fatemeh Daneshfar, Elaheh Sadat Salehi et al.
3	512	19.3	A Survey on Deep Neural Network Pruning: Taxonomy, Comparison, Analysis, and Recommendations	IEEE Transactions on Pattern Analysis and Machine Intelligence	2024-08-21	Hongrong Cheng, Miao Zhang, Qinfeng Shi
4	456	12.3	A survey of the vision transformers and their CNN-transformer based variants	Artificial Intelligence Review	2023-10-03	Asifullah Khan, Asifullah Khan, Zunaira Rauf et al.
5	401	21.3	A comprehensive survey of loss functions and metrics in deep learning	Artificial Intelligence Review	2025-04-11	Juan R. Terven, Diana Margarita Córdova Esparza, Julio-Alejandro Romero-González et al.

Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.

Used together with#

Papers use Face recognition (LFW, CelebA, VGGFace2) most often with ImageNet (100), MNIST / Fashion-MNIST (72) and CIFAR-10 / CIFAR-100 (69); it has 38 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST. The whole network →

What papers use Face recognition (LFW, CelebA, VGGFace2) together with (at least 3 papers; lift 1 = chance)
Used with	Type	Papers using both	Lift
ImageNet	Dataset	100	6.9
MNIST / Fashion-MNIST	Dataset	72	10.5
CIFAR-10 / CIFAR-100	Dataset	69	8.1
MS COCO	Dataset	24	4.2
YouTube / TikTok	Dataset	21	1.9
SVHN	Dataset	19	14.7
Fine-grained benchmarks (CUB-200, Stanford Cars, Oxford Flowers)	Dataset	16	11.3
Cityscapes	Dataset	13	7.1
UCI Machine Learning Repository	Dataset	13	3.4
IMDb	Dataset	12	8.3
China Family Panel Studies (CFPS)	Dataset	10	3.9
Facial expression (FER2013, AffectNet, RAF-DB)	Dataset	10	21.3

Papers mentioning Face recognition (LFW, CelebA, VGGFace2) in the last 30 days, newest first.
Date	Title	Journal	Authors	Affiliations
2026-10-27	Meta additive model: interpretable sparse learning with auto weighting	Data Mining and Knowledge Discovery	Xuelin Zhang, Xinyue Liu, Lingjuan Wu et al.	Huazhong Agricultural University; Dongfeng Motor (China)
2026-10-25	EGY-MER: Establishing The First Egyptian Arabic Multimodal Emotion Recognition Dataset for Affective Computing	Language Resources and Evaluation	Amany Hussein, May Hussien, Ammar Hassona et al.	German International University; German University in Cairo; Universität Ulm
2026-10-20	Weighted UnLearning from Experience for Improved Spurious Correlation Robustness	Machine Learning	Jeff Mitchell, Jesus Martinez-del-Rincon, Niall McLaughlin	Queen's University Belfast

Cite this page

Scholar4AI. (2026). Face recognition (LFW, CelebA, VGGFace2). Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/face-recognition-lfw-celeba-vggface2

@misc{scholar4ai-datasets-face-recognition-lfw-celeba-vggface2,
  author = {{Scholar4AI}},
  title = {Face recognition (LFW, CelebA, VGGFace2)},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/face-recognition-lfw-celeba-vggface2}},
  urldate = {2026-11-04},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).