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Deeper and wider fully convolutional network coupled with conditional random fields for scene labeling.

, , and . ICIP, page 1344-1348. IEEE, (2016)

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Feature-domain super-resolution for iris recognition., , , and . ICIP, page 3197-3200. IEEE, (2011)Deeper and wider fully convolutional network coupled with conditional random fields for scene labeling., , and . ICIP, page 1344-1348. IEEE, (2016)Face recognition: Sparse Representation vs. Deep Learning., , , and . ICGSP, page 31-37. ACM, (2018)Fusing shrinking and expanding active contour models for robust iris segementation., , and . ISSPA, page 185-188. IEEE, (2010)Quality-Driven Super-Resolution for Less Constrained Iris Recognition at a Distance and on the Move., , , and . IEEE Trans. Inf. Forensics Secur., 6 (4): 1248-1258 (2011)Boosting Zero-shot Classification with Synthetic Data Diversity via Stable Diffusion., , , , and . CoRR, (2023)Periocular recognition under expression variation using Higher Order Spectral features., , , and . IVCNZ, page 1-6. IEEE, (2015)Robust mean super-resolution for less cooperative NIR iris recognition at a distance and on the move., , and . SoICT, volume 449 of ACM International Conference Proceeding Series, page 122-127. ACM, (2010)Deep Spatio-Temporal Features for Multimodal Emotion Recognition., , , , , and . WACV, page 1215-1223. IEEE Computer Society, (2017)Super-resolution for biometrics: A comprehensive survey., , , , and . Pattern Recognit., (2018)