mlsanityData to 7 Oct 2026

Exploring Disentangled Feature Representation Beyond Face Identification

arXiv 1804.03487 ↗First posted 10 Apr 2018cs.CV cs.AIcited by 36

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Abstract (arXiv)

This paper proposes learning disentangled but complementary face features with minimal supervision by face identification. Specifically, we construct an identity Distilling and Dispelling Autoencoder (D2AE) framework that adversarially learns the identity-distilled features for identity verification and the identity-dispelled features to fool the verification system. Thanks to the design of two-stream cues, the learned disentangled features represent not only the identity or attribute but the complete input image. Comprehensive evaluations further demonstrate that the proposed features not only maintain state-of-the-art identity verification performance on LFW, but also acquire competitive discriminative power for face attribute recognition on CelebA and LFWA. Moreover, the proposed system is ready to semantically control the face generation/editing based on various identities and attributes in an unsupervised manner.

Key facts. Cited by 36 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Apr 2018.

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Citing papers per year: 2021: 16; 2022: 5; 2023: 4; 2024: 6; 2025: 4; 2026: 1.

36 papers.

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  1. 2021From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Datacited by 68
  2. 2021Multimodal Emotion Recognition with High-level Speech and Text Featurescited by 20
  3. 2021Domain-Incremental Continual Learning for Mitigating Bias in Facial Expression and Action Unit Recognitioncited by 19
  4. 2022Learning to Refactor Action and Co-occurrence Features for Temporal Action Localizationcited by 18
  5. 2021FairCal: Fairness Calibration for Face Verificationcited by 17
  6. 2022GAN-based Facial Attribute Manipulationcited by 16
  7. 2022Improving Continuous Sign Language Recognition with Consistency Constraints and Signer Removalcited by 11
  8. 2021Revisiting Neuron Coverage for DNN Testing: A Layer-Wise and Distribution-Aware Criterioncited by 9
  9. 2021DeepStroke: An Efficient Stroke Screening Framework for Emergency Rooms with Multimodal Adversarial Deep Learningcited by 7
  10. 2025Remote Photoplethysmography in Real-World and Extreme Lighting Scenarioscited by 6
  11. 2021Recent Advances in Deep Learning Techniques for Face Recognitioncited by 5
  12. 2021Dual-Stream Reciprocal Disentanglement Learning for Domain Adaptation Person Re-Identificationcited by 5
24 more
  1. 2024StarLKNet: Star Mixup with Large Kernel Networks for Palm Vein Identificationcited by 5
  2. 2024Disentangled Representations for Short-Term and Long-Term Person Re-Identificationcited by 5
  3. 2021Learning Fair Face Representation With Progressive Cross Transformercited by 4
  4. 2024Multi-Task Multi-Modal Self-Supervised Learning for Facial Expression Recognitioncited by 4
  5. 2024Relax DARTS: Relaxing the Constraints of Differentiable Architecture Search for Eye Movement Recognitioncited by 4
  6. 2021Learning ABCs: Approximate Bijective Correspondence for isolating factors of variation with weak supervisioncited by 3
  7. 2021Towards Fair Affective Robotics: Continual Learning for Mitigating Bias in Facial Expression and Action Unit Recognitioncited by 3
  8. 2021Benchmarking Shadow Removal for Facial Landmark Detection and Beyondcited by 3
  9. 2023Probabilistic and Semantic Descriptions of Image Manifolds and Their Applicationscited by 3
  10. 2021Stochastic Block-ADMM for Training Deep Networkscited by 2
  11. 2022Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Imagescited by 2
  12. 2023Toward Fair Facial Expression Recognition with Improved Distribution Alignmentcited by 2
  13. 2025L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representationcited by 2
  14. 2022A Survey of Face Recognitioncited by 1
  15. 2023SynMotor: A Benchmark Suite for Object Attribute Regression and Multi-task Learningcited by 1
  16. 2024EM-DARTS: Hierarchical Differentiable Architecture Search for Eye Movement Recognitioncited by 1
  17. 2021Domain Adaptation for Facial Expression Classifier via Domain Discrimination and Gradient Reversalcited by 0
  18. 2021FaceCook: Face Generation Based on Linear Scaling Factorscited by 0
  19. 2021Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labelscited by 0
  20. 2023Unveiling the frontiers of deep learning: innovations shaping diverse domainscited by 0
  21. 2024Total Disentanglement of Font Images into Style and Character Class Featurescited by 0
  22. 2025Bridging the gap in FER: addressing age bias in deep learningcited by 0
  23. 2025Learning Private Representations through Entropy-based Adversarial Trainingcited by 0
  24. 2026Mitigating Bias in Concept Bottleneck Models for Fair and Interpretable Image Classificationcited by 0