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ORCIDMayank Vatsa
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- affiliation: IIT Jodhpur, India
- affiliation (former): IIIT Delhi
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2020 – today
- 2021
[j71]Shruti Nagpal, Maneet Singh, Richa Singh
, Mayank Vatsa:
Discriminative shared transform learning for sketch to image matching. Pattern Recognit. 114: 107815 (2021)- [j70]Aakarsh Malhotra, Anush Sankaran, Mayank Vatsa, Richa Singh, Keith B. Morris, Afzel Noore:
Understanding ACE-V Latent Fingerprint Examination Process via Eye-Gaze Analysis. IEEE Trans. Biom. Behav. Identity Sci. 3(1): 44-58 (2021) - [j69]Puspita Majumdar, Saheb Chhabra, Richa Singh, Mayank Vatsa:
Recognizing Injured Faces via SCIFI Loss. IEEE Trans. Biom. Behav. Identity Sci. 3(1): 112-123 (2021) - [c164]Richa Singh, Mayank Vatsa, Nalini K. Ratha:
Trustworthy AI. COMAD/CODS 2021: 449-453 - 2020
- [j68]Puspita Majumdar, Saheb Chhabra, Richa Singh, Mayank Vatsa:
Subgroup Invariant Perturbation for Unbiased Pre-Trained Model Prediction. Frontiers Big Data 3: 590296 (2020) - [j67]Soumyadeep Ghosh, Richa Singh, Mayank Vatsa:
Subclass Heterogeneity Aware Loss for Cross-Spectral Cross-Resolution Face Recognition. IEEE Trans. Biom. Behav. Identity Sci. 2(3): 245-256 (2020) - [j66]Anshuman Suri, Mayank Vatsa, Richa Singh:
A2-LINK: Recognizing Disguised Faces via Active Learning and Adversarial Noise Based Inter-Domain Knowledge. IEEE Trans. Biom. Behav. Identity Sci. 2(4): 326-336 (2020) - [j65]Aakarsh Malhotra, Anush Sankaran, Mayank Vatsa, Richa Singh:
On Matching Finger-Selfies Using Deep Scattering Networks. IEEE Trans. Biom. Behav. Identity Sci. 2(4): 350-362 (2020) - [c163]Sarthak Jindal, Raghav Sood, Richa Singh, Mayank Vatsa, Tanmoy Chakraborty:
NewsBag: A Benchmark Multimodal Dataset for Fake News Detection. SafeAI@AAAI 2020: 138-145 - [c162]Richa Singh, Akshay Agarwal, Maneet Singh, Shruti Nagpal, Mayank Vatsa:
On the Robustness of Face Recognition Algorithms Against Attacks and Bias. AAAI 2020: 13583-13589 - [c161]Rohit Keshari, Soumyadeep Ghosh, Saheb Chhabra, Mayank Vatsa, Richa Singh:
Unravelling Small Sample Size Problems in the Deep Learning World. BigMM 2020: 134-143 - [c160]Akhil Goel, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
DNDNet: Reconfiguring CNN for Adversarial Robustness. CVPR Workshops 2020: 103-110 - [c159]Aakarsh Malhotra, Saheb Chhabra, Mayank Vatsa, Richa Singh:
On Privacy Preserving Anonymization of Finger-selfies. CVPR Workshops 2020: 120-128 - [c158]Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa:
Attribute Aware Filter-Drop for Bias-Invariant Classification. CVPR Workshops 2020: 147-153 - [c157]Akshay Agarwal, Richa Singh, Mayank Vatsa:
The Role of 'Sign' and 'Direction' of Gradient on the Performance of CNN. CVPR Workshops 2020: 2748-2756 - [c156]Anubhav Jain, Puspita Majumdar, Richa Singh, Mayank Vatsa:
Detecting GANs and Retouching based Digital Alterations via DAD-HCNN. CVPR Workshops 2020: 2870-2879 - [c155]Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
Noise is Inside Me! Generating Adversarial Perturbations with Noise Derived from Natural Filters. CVPR Workshops 2020: 3354-3363 - [c154]Rohit Keshari, Richa Singh, Mayank Vatsa:
Generalized Zero-Shot Learning via Over-Complete Distribution. CVPR 2020: 13297-13305 - [c153]Divyam Anshumaan, Akshay Agarwal, Mayank Vatsa, Richa Singh:
WaveTransform: Crafting Adversarial Examples via Input Decomposition. ECCV Workshops (1) 2020: 152-168 - [c152]Raunak Sinha, Mayank Vatsa, Richa Singh:
FamilyGAN: Generating Kin Face Images Using Generative Adversarial Networks. ECCV Workshops (3) 2020: 297-311 - [c151]Amlaan Kar, Maneet Singh, Mayank Vatsa, Richa Singh:
Disguised Face Verification Using Inverse Disguise Quality. ECCV Workshops (6) 2020: 524-540 - [c150]Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa:
Diversity Blocks for De-biasing Classification Models. IJCB 2020: 1-9 - [c149]Prabhat Kumar, Mayank Vatsa, Richa Singh:
Detecting Face2Face Facial Reenactment in Videos. WACV 2020: 2578-2586 - [p7]Soumyadeep Ghosh, Richa Singh, Mayank Vatsa, Nalini K. Ratha, Vishal M. Patel:
Domain Adaptation for Visual Understanding. Domain Adaptation for Visual Understanding 2020: 1-15 - [p6]Anush Sankaran, Mayank Vatsa, Richa Singh:
Intuition Learning. Domain Adaptation for Visual Understanding 2020: 111-127 - [e2]Richa Singh, Mayank Vatsa, Vishal M. Patel, Nalini K. Ratha:
Domain Adaptation for Visual Understanding. Springer 2020, ISBN 978-3-030-30670-0 [contents] - [i41]Prabhat Kumar, Mayank Vatsa, Richa Singh:
Detecting Face2Face Facial Reenactment in Videos. CoRR abs/2001.07444 (2020) - [i40]Richa Singh, Akshay Agarwal, Maneet Singh, Shruti Nagpal, Mayank Vatsa:
On the Robustness of Face Recognition Algorithms Against Attacks and Bias. CoRR abs/2002.02942 (2020) - [i39]Rohit Keshari, Richa Singh, Mayank Vatsa:
Generalized Zero-Shot Learning Via Over-Complete Distribution. CoRR abs/2004.00666 (2020) - [i38]Akhil Goel, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
Securing CNN Model and Biometric Template using Blockchain. CoRR abs/2008.00054 (2020) - [i37]Puspita Majumdar, Saheb Chhabra, Richa Singh, Mayank Vatsa:
Subclass Contrastive Loss for Injured Face Recognition. CoRR abs/2008.01993 (2020) - [i36]Aakarsh Malhotra, Surbhi Mittal, Puspita Majumdar, Saheb Chhabra, Kartik Thakral, Mayank Vatsa, Richa Singh, Santanu Chaudhury, Ashwin Pudrod, Anjali Agrawal:
Multi-Task Driven Explainable Diagnosis of COVID-19 using Chest X-ray Images. CoRR abs/2008.03205 (2020) - [i35]Rohit Keshari, Soumyadeep Ghosh, Saheb Chhabra, Mayank Vatsa, Richa Singh:
Unravelling Small Sample Size Problems in the Deep Learning World. CoRR abs/2008.03522 (2020) - [i34]Mehak Gupta, Vishal Singh, Akshay Agarwal, Mayank Vatsa, Richa Singh:
Generalized Iris Presentation Attack Detection Algorithm under Cross-Database Settings. CoRR abs/2010.13244 (2020) - [i33]Nilay Sanghvi, Sushant Kumar Singh, Akshay Agarwal, Mayank Vatsa, Richa Singh:
MixNet for Generalized Face Presentation Attack Detection. CoRR abs/2010.13246 (2020) - [i32]Saheb Chhabra, Akshay Agarwal, Richa Singh, Mayank Vatsa:
Attack Agnostic Adversarial Defense via Visual Imperceptible Bound. CoRR abs/2010.13247 (2020) - [i31]Divyam Anshumaan, Akshay Agarwal, Mayank Vatsa, Richa Singh:
WaveTransform: Crafting Adversarial Examples via Input Decomposition. CoRR abs/2010.15773 (2020) - [i30]Richa Singh, Mayank Vatsa, Nalini K. Ratha:
Trustworthy AI. CoRR abs/2011.02272 (2020) - [i29]Daksha Yadav, Naman Kohli, Mayank Vatsa, Richa Singh, Afzel Noore:
Age Gap Reducer-GAN for Recognizing Age-Separated Faces. CoRR abs/2011.05897 (2020)
2010 – 2019
- 2019
- [j64]Gaurav Goswami, Akshay Agarwal, Nalini K. Ratha, Richa Singh, Mayank Vatsa:
Detecting and Mitigating Adversarial Perturbations for Robust Face Recognition. Int. J. Comput. Vis. 127(6-7): 719-742 (2019) - [j63]Akshay Agarwal, Rohit Keshari, Manya Wadhwa, Mansi Vijh, Chandani Parmar, Richa Singh, Mayank Vatsa:
Iris sensor identification in multi-camera environment. Inf. Fusion 45: 333-345 (2019) - [j62]Tejas Indulal Dhamecha, Afzel Noore, Richa Singh, Mayank Vatsa:
Between-subclass piece-wise linear solutions in large scale kernel SVM learning. Pattern Recognit. 95: 173-190 (2019) - [j61]Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh:
Are you eligible? Predicting adulthood from face images via Class Specific Mean Autoencoder. Pattern Recognit. Lett. 119: 121-130 (2019) - [j60]Akshay Sethi, Maneet Singh, Richa Singh, Mayank Vatsa:
Residual Codean Autoencoder for Facial Attribute Analysis. Pattern Recognit. Lett. 119: 157-165 (2019) - [j59]Mayank Vatsa, Mark S. Nixon:
Editorial Introducing the IEEE Transactions on Biometrics, Behavior, and Identity Science. IEEE Trans. Biom. Behav. Identity Sci. 1(1): 1-2 (2019) - [j58]Maneet Singh, Richa Singh, Mayank Vatsa, Nalini K. Ratha, Rama Chellappa:
Recognizing Disguised Faces in the Wild. IEEE Trans. Biom. Behav. Identity Sci. 1(2): 97-108 (2019) - [j57]Naman Kohli, Daksha Yadav, Mayank Vatsa, Richa Singh, Afzel Noore:
Supervised Mixed Norm Autoencoder for Kinship Verification in Unconstrained Videos. IEEE Trans. Image Process. 28(3): 1329-1341 (2019) - [c148]Rohit Keshari, Richa Singh, Mayank Vatsa:
Guided Dropout. AAAI 2019: 4065-4072 - [c147]Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh:
Data Fine-Tuning. AAAI 2019: 8223-8230 - [c146]Akshay Agarwal, Akarsha Sehwag, Richa Singh, Mayank Vatsa:
Deceiving Face Presentation Attack Detection via Image Transforms. BigMM 2019: 373-382 - [c145]Akshay Agarwal, Mayank Vatsa, Richa Singh:
CHIF: Convoluted Histogram Image Features for Detecting Silicone Mask based Face Presentation Attack. BTAS 2019: 1-5 - [c144]Akhil Goel, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
Securing CNN Model and Biometric Template using Blockchain. BTAS 2019: 1-7 - [c143]Lamha Goel, Mayank Vatsa, Richa Singh:
LC-DECAL: Label Consistent Deep Collaborative Learning for Face Recognition. BTAS 2019: 1-8 - [c142]Puspita Majumdar, Saheb Chhabra, Richa Singh, Mayank Vatsa:
Subclass Contrastive Loss for Injured Face Recognition. BTAS 2019: 1-7 - [c141]Anshuman Suri, Mayank Vatsa, Richa Singh:
A-LINK: Recognizing Disguised Faces via Active Learning based Inter-Domain Knowledge. BTAS 2019: 1-8 - [c140]Puspita Majumdar, Akshay Agarwal, Richa Singh, Mayank Vatsa:
Evading Face Recognition via Partial Tampering of Faces. CVPR Workshops 2019: 11-20 - [c139]Viresh Gupta, Mohit Agarwal, Manik Arora, Tanmoy Chakraborty, Richa Singh, Mayank Vatsa:
Bag-Of-Lies: A Multimodal Dataset for Deception Detection. CVPR Workshops 2019: 83-90 - [c138]Shruti Nagpal, Maneet Singh, Mayank Vatsa, Richa Singh, Afzel Noore:
Expression Classification in Children Using Mean Supervised Deep Boltzmann Machine. CVPR Workshops 2019: 236-245 - [c137]Daksha Yadav, Naman Kohli, Mayank Vatsa, Richa Singh, Afzel Noore:
Detecting Textured Contact Lens in Uncontrolled Environment Using DensePAD. CVPR Workshops 2019: 2336-2344 - [c136]Akhil Goel, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
DeepRing: Protecting Deep Neural Network With Blockchain. CVPR Workshops 2019: 2821-2828 - [c135]Soumyadeep Ghosh, Richa Singh, Mayank Vatsa:
On Learning Density Aware Embeddings. CVPR 2019: 4884-4892 - [c134]Sanchit Gupta, Nikita Gupta, Soumyadeep Ghosh, Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh:
FaceSurv: A Benchmark Video Dataset for Face Detection and Recognition Across Spectra and Resolutions. FG 2019: 1-7 - [c133]Isha Kalra, Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa, P. B. Sujit:
DroneSURF: Benchmark Dataset for Drone-based Face Recognition. FG 2019: 1-7 - [c132]Akshay Agarwal, Akarsha Sehwag, Mayank Vatsa, Richa Singh:
Deceiving the Protector: Fooling Face Presentation Attack Detection Algorithms. ICB 2019: 1-6 - [c131]Suril Mehta, Anannya Uberoi, Akshay Agarwal, Mayank Vatsa, Richa Singh:
Crafting A Panoptic Face Presentation Attack Detector. ICB 2019: 1-6 - [c130]Ramya Y. S., Soumyadeep Ghosh, Mayank Vatsa, Richa Singh:
Face Sketch Colorization via Supervised GANs. ICB 2019: 1-6 - [c129]Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa:
Dual Directed Capsule Network for Very Low Resolution Image Recognition. ICCV 2019: 340-349 - [c128]Maneet Singh, Mohit Chawla, Richa Singh, Mayank Vatsa, Rama Chellappa:
Disguised Faces in the Wild 2019. ICCV Workshops 2019: 542-550 - [c127]Mohit Agarwal, Sanchit Sinha, Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa:
Triplet Transform Learning for Automated Primate Face Recognition. ICIP 2019: 3462-3466 - [c126]Pavani Tripathi, Rohit Keshari, Soumyadeep Ghosh, Mayank Vatsa, Richa Singh:
AUTO-G: Gesture Recognition in the Crowd for Autonomous Vehicl. ICIP 2019: 3482-3486 - [c125]Vanika Singhal, Angshul Majumdar, Mayank Vatsa, Richa Singh:
Siamese Deep Dictionary Learning. IJCNN 2019: 1-6 - [c124]Indu Joshi, Adithya Anand, Mayank Vatsa, Richa Singh, Sumantra Dutta Roy, Prem Kalra:
Latent Fingerprint Enhancement Using Generative Adversarial Networks. WACV 2019: 895-903 - [p5]Aakarsh Malhotra, Shaan Chopra, Mayank Vatsa, Richa Singh:
User Authentication via Finger-Selfies. Selfie Biometrics 2019: 21-47 - [p4]David Yambay, Adam Czajka, Kevin W. Bowyer, Mayank Vatsa, Richa Singh, Afzel Noore, Naman Kohli, Daksha Yadav, Stephanie Schuckers:
Review of Iris Presentation Attack Detection Competitions. Handbook of Biometric Anti-Spoofing, 2nd Ed. 2019: 169-183 - [i28]Anubhav Jain, Richa Singh, Mayank Vatsa:
On Detecting GANs and Retouching based Synthetic Alterations. CoRR abs/1901.09237 (2019) - [i27]Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa, Nalini K. Ratha:
Deep Learning for Face Recognition: Pride or Prejudiced? CoRR abs/1904.01219 (2019) - [i26]Soumyadeep Ghosh, Richa Singh, Mayank Vatsa:
On Learning Density Aware Embeddings. CoRR abs/1904.03911 (2019) - [i25]Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa:
Dual Directed Capsule Network for Very Low Resolution Image Recognition. CoRR abs/1908.10027 (2019) - [i24]Raunak Sinha, Anush Sankaran, Mayank Vatsa, Richa Singh:
AuthorGAN: Improving GAN Reproducibility using a Modular GAN Framework. CoRR abs/1911.13250 (2019) - 2018
- [j56]Tejas I. Dhamecha, Mahek Shah, Priyanka Verma, Mayank Vatsa, Richa Singh:
CrowdFaceDB: Database and benchmarking for face verification in crowd. Pattern Recognit. Lett. 107: 17-24 (2018) - [j55]Ajay Shankar, Mayank Vatsa, P. B. Sujit:
A Low-Cost Monocular Vision-Based Obstacle Avoidance Using SVM and Optical Flow. Unmanned Syst. 6(4): 267-275 (2018) - [c123]Gaurav Goswami, Nalini K. Ratha, Akshay Agarwal, Richa Singh, Mayank Vatsa:
Unravelling Robustness of Deep Learning Based Face Recognition Against Adversarial Attacks. AAAI 2018: 6829-6836 - [c122]Akshay Agarwal, Richa Singh, Mayank Vatsa, Nalini K. Ratha:
Are Image-Agnostic Universal Adversarial Perturbations for Face Recognition Difficult to Detect? BTAS 2018: 1-7 - [c121]Rishabh Garg, Yashasvi Baweja, Soumyadeep Ghosh, Richa Singh, Mayank Vatsa, Nalini K. Ratha:
Heterogeneity Aware Deep Embedding for Mobile Periocular Recognition. BTAS 2018: 1-7 - [c120]Akhil Goel, Anirudh Singh, Akshay Agarwal, Mayank Vatsa, Richa Singh:
SmartBox: Benchmarking Adversarial Detection and Mitigation Algorithms for Face Recognition. BTAS 2018: 1-7 - [c119]Anubhav Jain, Richa Singh, Mayank Vatsa:
On Detecting GANs and Retouching based Synthetic Alterations. BTAS 2018: 1-7 - [c118]Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa, Afzel Noore:
Learning A Shared Transform Model for Skull to Digital Face Image Matching. BTAS 2018: 1-7 - [c117]Saksham Suri, Anush Sankaran, Mayank Vatsa, Richa Singh:
On Matching Faces with Alterations due to Plastic Surgery and Disguise. BTAS 2018: 1-7 - [c116]Vineet Kushwaha, Maneet Singh, Richa Singh, Mayank Vatsa, Nalini K. Ratha, Rama Chellappa:
Disguised Faces in the Wild. CVPR Workshops 2018: 1-9 - [c115]Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh, Angshul Majumdar:
Identity Aware Synthesis for Cross Resolution Face Recognition. CVPR Workshops 2018: 479-488 - [c114]Shaan Chopra, Aakarsh Malhotra, Mayank Vatsa, Richa Singh:
Unconstrained Fingerphoto Database. CVPR Workshops 2018: 517-525 - [c113]Daksha Yadav, Naman Kohli, Akshay Agarwal, Mayank Vatsa, Richa Singh, Afzel Noore:
Fusion of Handcrafted and Deep Learning Features for Large-Scale Multiple Iris Presentation Attack Detection. CVPR Workshops 2018: 572-579 - [c112]Daksha Yadav, Naman Kohli, Ekampreet Kalsi, Mayank Vatsa, Richa Singh, Afzel Noore:
Unraveling Human Perception of Facial Aging Using Eye Gaze. CVPR Workshops 2018: 2140-2147 - [c111]Puspita Majumdar, Saheb Chhabra, Richa Singh, Mayank Vatsa:
On Detecting Domestic Abuse via Faces. CVPR Workshops 2018: 2173-2179 - [c110]Rohit Keshari, Mayank Vatsa, Richa Singh, Afzel Noore:
Learning Structure and Strength of CNN Filters for Small Sample Size Training. CVPR 2018: 9349-9358 - [c109]Sanchit Sinha, Mohit Agarwal, Mayank Vatsa, Richa Singh, Saket Anand:
Exploring Bias in Primate Face Detection and Recognition. ECCV Workshops (1) 2018: 541-555 - [c108]Ishita Gupta, Ikshu Bhalla, Richa Singh, Mayank Vatsa:
Scattering Transform for Matching Surgically Altered Face Images. ICPR 2018: 2215-2220 - [c107]Aditya Lakra, Pavani Tripathi, Rohit Keshari, Mayank Vatsa, Richa Singh:
SegDenseNet: Iris Segmentation for Pre-and-Post Cataract Surgery. ICPR 2018: 3150-3155 - [c106]Sahar Siddiqui, Mayank Vatsa, Richa Singh:
Face Recognition for Newborns, Toddlers, and Pre-School Children: A Deep Learning Approach. ICPR 2018: 3156-3161 - [c105]Saheb Chhabra, Richa Singh, Mayank Vatsa, Gaurav Gupta:
Anonymizing k Facial Attributes via Adversarial Perturbations. IJCAI 2018: 656-662 - [c104]Aakarsh Malhotra, Richa Singh, Mayank Vatsa, Vishal M. Patel:
Person Authentication Using Head Images. WACV 2018: 409-417 - [c103]Daksha Yadav, Naman Kohli, Mayank Vatsa, Richa Singh, Afzel Noore:
Iris Presentation Attack via Textured Contact Lens in Unconstrained Environment. WACV 2018: 503-511 - [i23]Aditya Lakra, Pavani Tripathi, Rohit Keshari, Mayank Vatsa, Richa Singh:
SegDenseNet: Iris Segmentation for Pre and Post Cataract Surgery. CoRR abs/1801.10100 (2018) - [i22]Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa, Angshul Majumdar:
MagnifyMe: Aiding Cross Resolution Face Recognition via Identity Aware Synthesis. CoRR abs/1802.08057 (2018) - [i21]Gaurav Goswami, Nalini K. Ratha, Akshay Agarwal, Richa Singh, Mayank Vatsa:
Unravelling Robustness of Deep Learning based Face Recognition Against Adversarial Attacks. CoRR abs/1803.00401 (2018) - [i20]Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh:
Are you eligible? Predicting adulthood from face images via class specific mean autoencoder. CoRR abs/1803.07385 (2018) - [i19]Akshay Sethi, Maneet Singh, Richa Singh, Mayank Vatsa:
Residual Codean Autoencoder for Facial Attribute Analysis. CoRR abs/1803.07386 (2018) - [i18]Rohit Keshari, Mayank Vatsa, Richa Singh, Afzel Noore:
Learning Structure and Strength of CNN Filters for Small Sample Size Training. CoRR abs/1803.11405 (2018) - [i17]Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa:
Class Representative Autoencoder for Low Resolution Multi-Spectral Gender Classification. CoRR abs/1805.07905 (2018) - [i16]Saheb Chhabra, Richa Singh, Mayank Vatsa, Gaurav Gupta:
Anonymizing k-Facial Attributes via Adversarial Perturbations. CoRR abs/1805.09380 (2018) - [i15]Naman Kohli, Mayank Vatsa, Richa Singh, Afzel Noore, Angshul Majumdar:
Hierarchical Representation Learning for Kinship Verification. CoRR abs/1805.10557 (2018) - [i14]Naman Kohli, Daksha Yadav, Mayank Vatsa, Richa Singh, Afzel Noore:
Supervised Mixed Norm Autoencoder for Kinship Verification in Unconstrained Videos. CoRR abs/1805.12167 (2018) - [i13]Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa, Afzel Noore:
Learning A Shared Transform Model for Skull to Digital Face Image Matching. CoRR abs/1808.04571 (2018) - [i12]Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh, Afzel Noore:
Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss! CoRR abs/1810.06221 (2018) - [i11]Rishabh Garg, Yashasvi Baweja, Soumyadeep Ghosh, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
Heterogeneity Aware Deep Embedding for Mobile Periocular Recognition. CoRR abs/1811.00846 (2018) - [i10]Saksham Suri, Anush Sankaran, Mayank Vatsa, Richa Singh:
On Matching Faces with Alterations due to Plastic Surgery and Disguise. CoRR abs/1811.07318 (2018) - [i9]Maneet Singh, Richa Singh, Mayank Vatsa, Nalini K. Ratha, Rama Chellappa:
Recognizing Disguised Faces in the Wild. CoRR abs/1811.08837 (2018) - [i8]Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh:
Data Fine-tuning. CoRR abs/1812.03944 (2018) - [i7]Rohit Keshari, Richa Singh, Mayank Vatsa:
Guided Dropout. CoRR abs/1812.03965 (2018) - 2017
- [j54]Paritosh Mittal, Aishwarya Jain, Gaurav Goswami, Mayank Vatsa, Richa Singh:
Composite sketch recognition using saliency and attribute feedback. Inf. Fusion 33: 86-99 (2017) - [j53]Anush Sankaran, Aayush Jain, Tarun Vashisth, Mayank Vatsa, Richa Singh:
Adaptive latent fingerprint segmentation using feature selection and random decision forest classification. Inf. Fusion 34: 1-15 (2017) - [j52]Anush Sankaran, Mayank Vatsa, Richa Singh, Angshul Majumdar:
Group sparse autoencoder. Image Vis. Comput. 60: 64-74 (2017) - [j51]Angshul Majumdar, Richa Singh, Mayank Vatsa:
Face Verification via Class Sparsity Based Supervised Encoding. IEEE Trans. Pattern Anal. Mach. Intell. 39(6): 1273-1280 (2017) - [j50]