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Ajita Rattani
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2020 – today
- 2024
- [j19]Giulia Orrù, Ajita Rattani, Imad Rida
, Sébastien Marcel:
Recent advances in behavioral and hidden biometrics for personal identification. Pattern Recognit. Lett. 185: 108-109 (2024) - [i25]Sreeraj Ramachandran, Ajita Rattani:
A Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classification. CoRR abs/2407.10104 (2024) - [i24]Vinaya Sree Katamneni, Ajita Rattani:
Contextual Cross-Modal Attention for Audio-Visual Deepfake Detection and Localization. CoRR abs/2408.01532 (2024) - [i23]Ayesha Manzoor, Ajita Rattani:
FineFACE: Fair Facial Attribute Classification Leveraging Fine-grained Features. CoRR abs/2408.16881 (2024) - [i22]Aakash Varma Nadimpalli, Ajita Rattani:
Social Media Authentication and Combating Deepfakes using Semi-fragile Invisible Image Watermarking. CoRR abs/2410.01906 (2024) - 2023
- [j18]Ali Almadan
Benchmarking Neural Network Compression Techniques for Ocular-Based User Authentication on Smartphones. IEEE Access 11: 36550-36565 (2023) - [j17]Anoop Krishnan, Ajita Rattani:
A novel approach for bias mitigation of gender classification algorithms using consistency regularization. Image Vis. Comput. 137: 104793 (2023) - [c54]Parshuram N. Aarotale, Twyla J. Hill, Ajita Rattani:
PatchBMI-Net: Lightweight Facial Patch-based Ensemble for BMI Prediction. BIBM 2023: 4022-4028 - [c53]Parshuram N. Aarotale, Ajita Rattani:
Deep Learning Models for Arrhythmia Classification Using Stacked Time-frequency Scalogram Images from ECG Signals. CinC 2023: 1-4 - [c52]Vinaya Sree Katamneni, Ajita Rattani:
MIS-AVoiDD: Modality Invariant and Specific Representation for Audio-Visual Deepfake Detection. ICMLA 2023: 1371-1378 - [c51]Aakash Varma Nadimpalli, Ajita Rattani:
Facial Forgery-Based Deepfake Detection Using Fine-Grained Features. ICMLA 2023: 2174-2181 - [i21]Vinaya Sree Katamneni, Ajita Rattani:
MIS-AVoiDD: Modality Invariant and Specific Representation for Audio-Visual Deepfake Detection. CoRR abs/2310.02234 (2023) - [i20]Aakash Varma Nadimpalli, Ajita Rattani:
Facial Forgery-based Deepfake Detection using Fine-Grained Features. CoRR abs/2310.07028 (2023) - [i19]Parshuram N. Aarotale, Twyla J. Hill, Ajita Rattani:
PatchBMI-Net: Lightweight Facial Patch-based Ensemble for BMI Prediction. CoRR abs/2311.18102 (2023) - [i18]Parshuram N. Aarotale, Ajita Rattani:
Deep Learning Models for Arrhythmia Classification Using Stacked Time-frequency Scalogram Images from ECG Signals. CoRR abs/2312.09426 (2023) - 2022
- [c50]Aakash Varma Nadimpalli, Ajita Rattani:
On Improving Cross-dataset Generalization of Deepfake Detectors. CVPR Workshops 2022: 91-99 - [c49]Hera Siddiqui, Ajita Rattani, Karl Ricanek, Twyla J. Hill:
An Examination of Bias of Facial Analysis based BMI Prediction Models. CVPR Workshops 2022: 2925-2934 - [c48]Smitha Haridasan, Ajita Rattani, Zelalem S. Demissie, Atri Dutta:
Multispectral Deep Learning Models for Wildfire Detection. D2R2 2022 - [c47]Saideshwar Kota, Smitha Haridasan, Ajita Rattani, Aaron Bowen, Glyn Rimmington, Atri Dutta:
Multimodal Combination of Text and Image Tweets for Disaster Response Assessment. D2R2 2022 - [c46]Aakash Varma Nadimpalli, Ajita Rattani:
GBDF: Gender Balanced DeepFake Dataset Towards Fair DeepFake Detection. ICPR Workshops (2) 2022: 320-337 - [c45]Sreeraj Ramachandran
Deep Generative Views to Mitigate Gender Classification Bias Across Gender-Race Groups. ICPR Workshops (3) 2022: 551-569 - [p4]Hera Siddiqui, Ajita Rattani, Laila Cure
Toward On-Device Weight Monitoring from Selfie Face Images Using Smartphones. Integrating Artificial Intelligence and IoT for Advanced Health Informatics 2022: 53-67 - [i17]Aakash Varma Nadimpalli, Ajita Rattani:
On Improving Cross-dataset Generalization of Deepfake Detectors. CoRR abs/2204.04285 (2022) - [i16]Hera Siddiqui, Ajita Rattani, Karl Ricanek, Twyla J. Hill:
An Examination of Bias of Facial Analysis based BMI Prediction Models. CoRR abs/2204.10262 (2022) - [i15]Aakash Varma Nadimpalli, Ajita Rattani:
GBDF: Gender Balanced DeepFake Dataset Towards Fair DeepFake Detection. CoRR abs/2207.10246 (2022) - [i14]Sreeraj Ramachandran, Ajita Rattani:
Deep Generative Views to Mitigate Gender Classification Bias Across Gender-Race Groups. CoRR abs/2208.08382 (2022) - [i13]Anoop Krishnan, Brian Neas, Ajita Rattani:
Is Facial Recognition Biased at Near-Infrared Spectrum As Well? CoRR abs/2211.00129 (2022) - 2021
- [j16]Hera Siddiqui
A Survey on Machine and Deep Learning Models for Childhood and Adolescent Obesity. IEEE Access 9: 157337-157360 (2021) - [j15]Raghavendra Ramachandra
Guest Editorial: WACV 2020 - Presentation attacks on biometric systems. IET Biom. 10(4): 357-358 (2021) - [j14]Hoang (Mark) Nguyen
Subject independent evaluation of eyebrows as a stand-alone biometric. IET Biom. 10(5): 536-547 (2021) - [j13]Shivang Agarwal
A comparative study on handcrafted features v/s deep features for open-set fingerprint liveness detection. Pattern Recognit. Lett. 147: 34-40 (2021) - [c44]Anoop Krishnan, Ali Almadan, Ajita Rattani:
Investigating Fairness of Ocular Biometrics Among Young, Middle-Aged, and Older Adults. ICCST 2021: 1-7 - [c43]Sreeraj Ramachandran
An Experimental Evaluation on Deepfake Detection using Deep Face Recognition. ICCST 2021: 1-6 - [c42]Ali Almadan, Ajita Rattani:
Towards On-Device Face Recognition in Body-worn Cameras. IWBF 2021: 1-6 - [c41]Ali Almadan, Ajita Rattani:
Compact CNN Models for On-device Ocular-based User Recognition in Mobile Devices. SSCI 2021: 1-7 - [c40]Aakash Varma Nadimpalli, Narsi Reddy, Sreeraj Ramachandran
Harnessing Unlabeled Data to Improve Generalization of Biometric Gender and Age Classifiers. SSCI 2021: 1-7 - [i12]Ali Almadan, Ajita Rattani:
Towards On-Device Face Recognition in Body-worn Cameras. CoRR abs/2104.03419 (2021) - [i11]Sreeraj Ramachandran, Aakash Varma Nadimpalli, Ajita Rattani:
An Experimental Evaluation on Deepfake Detection using Deep Face Recognition. CoRR abs/2110.01640 (2021) - [i10]Anoop Krishnan, Ali Almadan, Ajita Rattani:
Investigating Fairness of Ocular Biometrics Among Young, Middle-Aged, and Older Adults. CoRR abs/2110.01641 (2021) - [i9]Aakash Varma Nadimpalli, Narsi Reddy, Sreeraj Ramachandran, Ajita Rattani:
Harnessing Unlabeled Data to Improve Generalization of Biometric Gender and Age Classifiers. CoRR abs/2110.04427 (2021) - [i8]Ali Almadan, Ajita Rattani:
Compact CNN Models for On-device Ocular-based User Recognition in Mobile Devices. CoRR abs/2110.04953 (2021) - 2020
- [j12]Narsi Reddy, Ajita Rattani, Reza Derakhshani:
Generalizable deep features for ocular biometrics. Image Vis. Comput. 103: 103996 (2020) - [c39]Hoang (Mark) Nguyen, Ajita Rattani, Reza Derakhshani:
Eyebrow Deserves Attention: Upper Periocular Biometrics. BIOSIG 2020: 107-116 - [c38]Maria Villa, Mikhail I. Gofman, Sinjini Mitra, Ali Almadan, Anoop Krishnan
A Survey of Biometric and Machine Learning Methods for Tracking Students' Attention and Engagement. ICMLA 2020: 948-955 - [c37]Anoop Krishnan, Ali Almadan, Ajita Rattani:
Understanding Fairness of Gender Classification Algorithms Across Gender-Race Groups. ICMLA 2020: 1028-1035 - [c36]Ali Almadan, Anoop Krishnan, Ajita Rattani:
BWCFace: Open-set Face Recognition using Body-worn Camera. ICMLA 2020: 1036-1043 - [c35]Hera Siddiqui, Ajita Rattani, Dakshina Ranjan Kisku, Tanner Dean
Al-based BMI Inference from Facial Images: An Application to Weight Monitoring. ICMLA 2020: 1101-1105 - [c34]Hoang (Mark) Nguyen, Narsi Reddy, Ajita Rattani, Reza Derakhshani:
VISOB 2.0 - The Second International Competition on Mobile Ocular Biometric Recognition. ICPR Workshops (8) 2020: 200-208 - [c33]Anoop Krishnan, Ali Almadan, Ajita Rattani:
Probing Fairness of Mobile Ocular Biometrics Methods Across Gender on VISOB 2.0 Dataset. ICPR Workshops (8) 2020: 229-243 - [i7]Ali Almadan, Anoop Krishnan
BWCFace: Open-set Face Recognition using Body-worn Camera. CoRR abs/2009.11458 (2020) - [i6]Anoop Krishnan
Understanding Fairness of Gender Classification Algorithms Across Gender-Race Groups. CoRR abs/2009.11491 (2020) - [i5]Hera Siddiqui, Ajita Rattani, Dakshina Ranjan Kisku, Tanner Dean:
AI-based BMI Inference from Facial Images: An Application to Weight Monitoring. CoRR abs/2010.07442 (2020) - [i4]Anoop Krishnan
Probing Fairness of Mobile Ocular Biometrics Methods Across Gender on VISOB 2.0 Dataset. CoRR abs/2011.08898 (2020) - [i3]Shivang Agarwal, Ajita Rattani, C. Ravindranath Chowdary:
AILearn: An Adaptive Incremental Learning Model for Spoof Fingerprint Detection. CoRR abs/2012.14639 (2020)
2010 – 2019
- 2019
- [j11]Zahid Akhtar
Why is Multimedia Quality of Experience Assessment a Challenging Problem? IEEE Access 7: 117897-117915 (2019) - [j10]Ahmad Saeed Mohammad, Ajita Rattani, Reza Derakhshani:
Eyebrows and eyeglasses as soft biometrics using deep learning. IET Biom. 8(6): 378-390 (2019) - [c32]Ahmad Saeed Mohammad
Evaluation of Local Texture Descriptors for Eyebrow-Based Continuous Mobile User Authentication. ACRIT 2019: 136-147 - [c31]Narsi Reddy, Ajita Rattani, Reza Derakhshani:
Robust Subject-invariant Feature Learning for Ocular Biometrics in Visible Spectrum. BTAS 2019: 1-9 - [c30]Babak Poorebrahim Gilkalaye, Ajita Rattani, Reza Derakhshani:
Euclidean-Distance Based Fuzzy Commitment Scheme for Biometric Template Security. IWBF 2019: 1-6 - [p3]Ajita Rattani, Reza Derakhshani, Arun Ross:
Introduction to Selfie Biometrics. Selfie Biometrics 2019: 1-18 - [p2]Ajita Rattani, Mudit Agrawal:
Soft-Biometric Attributes from Selfie Images. Selfie Biometrics 2019: 213-225 - [p1]Hoang (Mark) Nguyen, Ajita Rattani, Reza Derakhshani:
Mobile User Re-authentication Using Clothing Information. Selfie Biometrics 2019: 259-271 - [e1]Ajita Rattani, Reza Derakhshani, Arun Ross:
Selfie Biometrics - Advances and Challenges. Advances in Computer Vision and Pattern Recognition, Springer 2019, ISBN 978-3-030-26971-5 [contents] - 2018
- [j9]Ajita Rattani, Reza Derakhshani:
A Survey Of mobile face biometrics. Comput. Electr. Eng. 72: 39-52 (2018) - [j8]Ajita Rattani, Narsi Reddy, Reza Derakhshani:
Convolutional neural networks for gender prediction from smartphone-based ocular images. IET Biom. 7(5): 423-430 (2018) - [c29]Narsi Reddy, Ajita Rattani, Reza Derakhshani:
Comparison of Deep Learning Models for Biometric-based Mobile User Authentication. BTAS 2018: 1-6 - [c28]Ahmad Saeed Mohammad
Short-Term User Authentication Using Eyebrows Biometric For Smartphone Devices. CEEC 2018: 287-292 - 2017
- [j7]Zahid Akhtar
A Face in any Form: New Challenges and Opportunities for Face Recognition Technology. Computer 50(4): 80-90 (2017) - [j6]Ajita Rattani, Reza Derakhshani:
Ocular biometrics in the visible spectrum: A survey. Image Vis. Comput. 59: 1-16 (2017) - [c27]Ajita Rattani, Narsi Reddy, Reza Derakhshani:
Convolutional neural network for age classification from smart-phone based ocular images. IJCB 2017: 756-761 - [c26]Ajita Rattani, Reza Derakhshani:
On fine-tuning convolutional neural networks for smartphone based ocular recognition. IJCB 2017: 762-767 - 2016
- [c25]Yaohui Ding, Ajita Rattani, Arun Ross:
Bayesian Belief models for integrating match scores with liveness and quality measures in a fingerprint verification system. ICB 2016: 1-8 - [c24]Ajita Rattani, Reza Derakhshani, Sashi K. Saripalle, Vikas Gottemukkula:
ICIP 2016 competition on mobile ocular biometric recognition. ICIP 2016: 320-324 - 2015
- [j5]Ajita Rattani, Walter J. Scheirer, Arun Ross:
Open Set Fingerprint Spoof Detection Across Novel Fabrication Materials. IEEE Trans. Inf. Forensics Secur. 10(11): 2447-2460 (2015) - [c23]Ajita Rattani, Zahid Akhtar
A Preliminary Study on Identifying Fabrication Material From Fake Fingerprint Images. SSCI 2015: 362-366 - 2014
- [j4]Zahid Akhtar
Temporal Analysis Of Adaptive Face Recognition. J. Artif. Intell. Soft Comput. Res. 4(4): 243-255 (2014) - [c22]Christophe Pagano, Eric Granger, Robert Sabourin, Ajita Rattani, Gian Luca Marcialis, Fabio Roli:
Efficient adaptive face recognition systems based on capture conditions. CIBIM 2014: 60-67 - [c21]Norman Poh, Josef Kittler, Ajita Rattani:
Handling session mismatch by fusion-based co-training: An empirical study using face and speech multimodal biometrics. CIBIM 2014: 81-86 - [c20]Ajita Rattani, Cunjian Chen
Evaluation of Texture Descriptors for Automated Gender Estimation from Fingerprints. ECCV Workshops (2) 2014: 764-777 - [c19]Ajita Rattani, Arun Ross:
Automatic adaptation of fingerprint liveness detector to new spoof materials. IJCB 2014: 1-8 - [c18]Ajita Rattani, Arun Ross:
Minimizing the impact of spoof fabrication material on fingerprint liveness detector. ICIP 2014: 4992-4996 - 2013
- [j3]Ajita Rattani, Gian Luca Marcialis, Fabio Roli:
A multi-modal dataset, protocol and tools for adaptive biometric systems: a benchmarking study. Int. J. Biom. 5(3/4): 266-287 (2013) - [j2]Ajita Rattani, Gian Luca Marcialis, Fabio Roli:
Biometric system adaptation by self-update and graph-based techniques. J. Vis. Lang. Comput. 24(1): 1-9 (2013) - [c17]Ajita Rattani, Norman Poh:
Biometric system design under zero and non-zero effort attacks. ICB 2013: 1-8 - [c16]Zahid Akhtar
Face Recognition under Ageing Effect: A Comparative Analysis. ICIAP (2) 2013: 309-318 - [c15]Ajita Rattani, Norman Poh, Arun Ross:
A Bayesian approach for modeling sensor influence on quality, liveness and match score values in fingerprint verification. WIFS 2013: 37-42 - 2012
- [j1]Norman Poh, Ajita Rattani, Fabio Roli
Critical analysis of adaptive biometric systems. IET Biom. 1(4): 179-187 (2012) - [c14]Ajita Rattani, Norman Poh, Arun Ross:
Analysis of user-specific score characteristics for spoof biometric attacks. CVPR Workshops 2012: 124-129 - [c13]Ajita Rattani, Gian Luca Marcialis, Eric Granger, Fabio Roli:
A dual-staged classification-selection approach for automated update of biometric templates. ICPR 2012: 2972-2975 - 2011
- [c12]Ajita Rattani, Gian Luca Marcialis, Fabio Roli:
Self adaptive systems: An experimental analysis of the performance over time. CIBIM 2011: 36-43 - [c11]Ajita Rattani, Gian Luca Marcialis, Fabio Roli:
Temporal Analysis of Biometric Template Update Procedures in Uncontrolled Environment. ICIAP (1) 2011: 595-604 - 2010
- [c10]Norman Poh, Josef Kittler, Ajita Rattani, Massimo Tistarelli
Group-specific score normalization for biometric systems. CVPR Workshops 2010: 38-45 - [i2]Dakshina Ranjan Kisku, Ajita Rattani, Enrico Grosso, Massimo Tistarelli:
Face Identification by SIFT-based Complete Graph Topology. CoRR abs/1002.0411 (2010) - [i1]Ajita Rattani, Dakshina Ranjan Kisku, Manuele Bicego, Massimo Tistarelli:
Feature Level Fusion of Face and Fingerprint Biometrics. CoRR abs/1002.2523 (2010)
2000 – 2009
- 2009
- [c9]Ajita Rattani, Biagio Freni, Gian Luca Marcialis, Fabio Roli:
Template Update Methods in Adaptive Biometric Systems: A Critical Review. ICB 2009: 847-856 - [c8]Ajita Rattani, Massimo Tistarelli
Robust Multi-modal and Multi-unit Feature Level Fusion of Face and Iris Biometrics. ICB 2009: 960-969 - [c7]Ajita Rattani, Gian Luca Marcialis, Fabio Roli:
An Experimental Analysis of the Relationship between Biometric Template Update and the Doddington's Zoo: A Case Study in Face Verification. ICIAP 2009: 434-442 - 2008
- [c6]Ajita Rattani, Gian Luca Marcialis, Fabio Roli:
Capturing large intra-class variations of biometric data by template co-updating. CVPR Workshops 2008: 1-6 - [c5]Dakshina Ranjan Kisku
Graph application on face for personal authentication and recognition. ICARCV 2008: 1150-1155 - [c4]Gian Luca Marcialis, Ajita Rattani, Fabio Roli:
Biometric Template Update: An Experimental Investigation on the Relationship between Update Errors and Performance Degradation in Face Verification. SSPR/SPR 2008: 684-693 - 2007
- [c3]Dakshina Ranjan Kisku
Face Identification by SIFT-based Complete Graph Topology. AutoID 2007: 63-68 - [c2]Ajita Rattani, Dakshina Ranjan Kisku
Facial Template Synthesis based on SIFT Features. AutoID 2007: 69-73 - [r1]Ajita Rattani:
Multimodal Biometric System. Encyclopedia of Information Ethics and Security 2007: 478-485 - 2006
- [c1]Nikunj Kela, Ajita Rattani, Phalguni Gupta:
Illumination Invariant Elastic Bunch Graph Matching for Efficient Face Recognition. CVPR Workshops 2006: 42
Coauthor Index
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