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20212024
most citedFingerprint Presentation Attack Detector Using Global-Local Model

37 citations · 52 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV202437 cited

Fingerprint Presentation Attack Detector Using Global-Local Model

Haozhe Liu, Wentian Zhang, Feng Liu +2

The vulnerability of automated fingerprint recognition systems (AFRSs) to presentation attacks (PAs) promotes the vigorous development of PA detection (PAD) technology. However, PA…

cs.CV20234 cited

DCFace: Synthetic Face Generation with Dual Condition Diffusion Model

Minchul Kim, Feng Liu, Anil Jain +1

Generating synthetic datasets for training face recognition models is challenging because dataset generation entails more than creating high fidelity images. It involves generating…

cs.SD2023

Mingling or Misalignment? Temporal Shift for Speech Emotion Recognition with Pre-trained Representations

Siyuan Shen, Feng Liu, Aimin Zhou

Fueled by recent advances of self-supervised models, pre-trained speech representations proved effective for the downstream speech emotion recognition (SER) task. Most prior works…

cs.CV20225 cited

Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels

Ganlong Zhao, Guanbin Li, Yipeng Qin +2

Deep models trained with noisy labels are prone to over-fitting and struggle in generalization. Most existing solutions are based on an ideal assumption that the label noise is cla…

cs.CV20221 cited

Shift-tolerant Perceptual Similarity Metric

Abhijay Ghildyal, Feng Liu

Existing perceptual similarity metrics assume an image and its reference are well aligned. As a result, these metrics are often sensitive to a small alignment error that is imperce…

cs.CV2022

Controllable and Guided Face Synthesis for Unconstrained Face Recognition

Feng Liu, Minchul Kim, Anil Jain +1

Although significant advances have been made in face recognition (FR), FR in unconstrained environments remains challenging due to the domain gap between the semi-constrained train…