Reference health
Dependency-Aware Attention Control for Image Set-Based Face Recognition
43/43 checkable references clean · checked 2026-07-24
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
21 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 43 checked references that resolve
resolves10.1109/ICPR.2018.8545506
Data Augmentation via Latent Space Interpolation for Image Classification
resolves10.1007/978-3-319-46454-1_35
Do We Really Need to Collect Millions of Faces for Effective Face Recognition?
resolves10.1109/TIP.2017.2765830
Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition
resolves10.1109/CVPR.2017.717
See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-identification
resolves10.1109/CVPRW.2017.79
Adaptive Deep Metric Learning for Identity-Aware Facial Expression Recognition
resolves10.1109/ICPR.2018.8545267
A joint optimization framework of low-dimensional projection and collaborative representation for discriminative classification
resolves10.1109/TCSVT.2014.2319671
Toward Large-Population Face Identification in Unconstrained Videos
resolves10.1117/1.JEI.27.1.013022
Adaptive metric learning with deep neural networks for video-based facial expression recognition
resolves10.1109/ISBA.2018.8311462
Normalized face image generation with perceptron generative adversarial networks
resolves10.1007/978-3-030-01252-6_34
Dependency-Aware Attention Control for Unconstrained Face Recognition with Image Sets
resolves10.1016/j.patcog.2018.11.001
Hard negative generation for identity-disentangled facial expression recognition
resolves10.1109/CVPR.2014.220
DeepFace: Closing the Gap to Human-Level Performance in Face Verification
resolves10.1109/CVPR.2011.5995566
Face recognition in unconstrained videos with matched background similarity
resolves10.1007/BF00992696
Simple statistical gradient-following algorithms for connectionist reinforcement learning
resolves10.1109/CVPR.2015.7298803
Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A
resolves10.1109/ICPR.2006.313
Bagging Based Efficient Kernel Fisher Discriminant Analysis for Face Recognition
resolves10.1007/BF00992699
Self-improving reactive agents based on reinforcement learning, planning and teaching
resolves10.1109/ICCVW.2015.55
An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks
resolves10.1109/TPAMI.2017.2700390
Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition
resolves10.1007/s11263-018-1135-x
Learning Discriminative Aggregation Network for Video-Based Face Recognition and Person Re-identification
The 21 references without a DOI — listed, not checked
no DOI — not checkedRecurrent models of visual attention
no DOI — not checkedOrdinal regression with neuron stick-breaking for medical diagnosis
no DOI — not checkedConfidence regularized self-training
no DOI — not checkedAsynchronous methods for deep reinforcement learning
no DOI — not checkedMulti-shot pedestrian re-identification via sequential decision making
no DOI — not checkedTowards end-to-end speech recognition with deep convolutional neural networks
no DOI — not checkedFeature-level frankenstein: Eliminating variations for discriminative recognition
no DOI — not checkedref2
no DOI — not checkedPermutation-invariant feature restructuring for correlation-aware image set-based recognition
no DOI — not checkedMulticolumn networks for face recognition
no DOI — not checkedA discriminative feature learning approach for deep face recognition
no DOI — not checkedSample efficient actor-critic with experience replay
no DOI — not checkedFace search at scale: 80 million gallery
no DOI — not checkedBatch normalization: Accelerating deep network training by reducing internal covariate shift
no DOI — not checkedEigen-PEP for video face recognition
no DOI — not checkedDeep reinforcement learning: An overview
no DOI — not checkedContinuous control with deep reinforcement learning
no DOI — not checkedRevisiting temporal modeling for video-based person ReID
no DOI — not checkedPolicy gradient methods for reinforcement learning with function approximation
no DOI — not checkedTrust region policy optimization
no DOI — not checkedOff-policy temporal-difference learning with function approximation
What this badge says. CiteStamped means the CHECKABLE references of this
work were clean at the dated check: each resolved to a known work in a public registry, and none
carried a retraction notice at that time. It says nothing about the quality, findings,
or importance of the work itself, and nothing about references deposited without a DOI.
checked 2026-07-24 — re-checked daily as this page is visited; titles and statuses come from Crossref and DataCite and are not part of the signed record
Embed this badge
Both snippets point at the live badge image and link back to this page. The badge re-renders from the daily check, so an embed never goes stale by more than a day of visits.
<a href="https://citestamp.com/citestamped/10.1109/tifs.2019.2938418"><img src="https://citestamp.com/citestamped/10.1109/tifs.2019.2938418/badge.svg" alt="CiteStamped reference-health badge" width="460" height="64"></a>
[](https://citestamp.com/citestamped/10.1109/tifs.2019.2938418)