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2020 – today
- 2023
[j11]Manuel J. Marín-Jiménez, Shiqi Yu, Yasushi Makihara, Vishal M. Patel, Maneet Singh, Maria De Marsico:
Editorial Introduction to the Special Issue on Biometrics at a Distance in the Deep Learning Era. IEEE J. Sel. Top. Signal Process. 17(3): 539-544 (2023)- [j10]Shruti Nagpal
, Maneet Singh, Richa Singh, Mayank Vatsa:
Detox Loss: Fairness Constraints for Learning With Imbalanced Data. IEEE Trans. Biom. Behav. Identity Sci. 5(2): 244-254 (2023) - [c36]Anubha Pandey, Himanshu Chaudhary, Alekhya Bhatraju, Deepak Bhatt, Maneet Singh:
Improving the Robustness of Financial Models through Identification of the Minimal Vulnerable Feature Set. ICAIF 2023: 297-304 - [c35]Anubha Pandey, Aditi Rai, Maneet Singh, Deepak Bhatt, Tanmoy Bhowmik:
GroupMixNorm Layer for Learning Fair Models. PAKDD (1) 2023: 520-531 - [i20]Anubha Pandey, Aditi Rai, Maneet Singh, Deepak Bhatt, Tanmoy Bhowmik:
GroupMixNorm Layer for Learning Fair Models. CoRR abs/2312.11969 (2023) - 2022
- [j9]Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa:
DeriveNet for (Very) Low Resolution Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6569-6577 (2022) - [j8]Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa:
Disguise Resilient Face Verification. IEEE Trans. Circuits Syst. Video Technol. 32(6): 3895-3905 (2022) - [c34]Maneet Singh, S. R. S. Iyengar, Akrati Saxena, Rishemjit Kaur:
A Bi-level Assessment of Twitter Data for Election Prediction: Delhi Assembly Elections 2020. WWW (Companion Volume) 2022: 930-935 - [i19]Maneet Singh, S. R. S. Iyengar, Rishemjit Kaur:
A Multi-Opinion Based Metric for Quantifying Polarization on Social Networks: A Case Study from India. CoRR abs/2204.08697 (2022) - [i18]Maneet Singh, S. R. S. Iyengar, Akrati Saxena, Rishemjit Kaur:
A Bi-level assessment of Twitter in predicting the results of an election: Delhi Assembly Elections 2020. CoRR abs/2204.08746 (2022) - 2021
- [j7]Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa:
Discriminative shared transform learning for sketch to image matching. Pattern Recognit. 114: 107815 (2021) - [c33]Sai Abhishek Sara, Maneet Singh, Bhanupriya Pegu, Karamjit Singh:
Label-Value Extraction from Documents Using Co-SSL Framework. ADMA 2021: 206-218 - [c32]Maneet Singh, S. R. S. Iyengar, Rishemjit Kaur:
Mining Social Networks for Dissemination of Fake News Using Continuous Opinion-Based Hybrid Model. ADMA 2021: 217-228 - [c31]Srikanta Bedathur, Tanmoy Bhowmik, Nitendra Rajput, Karamjit Singh, Maneet Singh:
MUFin'21: First International Workshop on Modelling Uncertainty in the Financial World. CIKM 2021: 4872-4873 - [c30]Bhanupriya Pegu, Maneet Singh, Kamal Kant, Karamjit Singh, Tanmoy Bhowmik:
MoDest: Multi-module Design Validation for Documents. COMAD/CODS 2021: 332-340 - [c29]Shivshankar Reddy, Pranav Poduval, Anand Vir Singh Chauhan, Maneet Singh, Sangam Verma, Karamjit Singh, Tanmoy Bhowmik:
TeGraF: temporal and graph based fraudulent transaction detection framework. ICAIF 2021: 18:1-18:8 - [c28]Bhanupriya Pegu, Maneet Singh, Aakash Agarwal, Aniruddha Mitra, Karamjit Singh:
Table Structure Recognition Using CoDec Encoder-Decoder. ICDAR Workshops (2) 2021: 66-80 - [c27]Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh:
Enhancing Fine-Grained Classification for Low Resolution Images. IJCNN 2021: 1-8 - [c26]Maneet Singh, Shruti Nagpal, Daksha Yadav, Naman Kohli, Prateekshit Pandey, Gokulraj Prabhakaran, Richa Singh, Mayank Vatsa, Afzel Noore, Julie Brefczynski-Lewis, Harsh Mahajan:
Understanding Neural Responses to Face Verification of Cross-Domain Representations. IJCNN 2021: 1-8 - [c25]Anand Vir Singh Chauhan, Shivshankar Reddy, Maneet Singh, Karamjit Singh, Tanmoy Bhowmik:
Deviation-Based Marked Temporal Point Process for Marker Prediction. ECML/PKDD (1) 2021: 289-304 - [i17]Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh:
Enhancing Fine-Grained Classification for Low Resolution Images. CoRR abs/2105.00241 (2021) - [i16]Shivshankar Reddy, Anand Vir Singh Chauhan, Maneet Singh, Karamjit Singh:
Semi-supervised Learning for Marked Temporal Point Processes. CoRR abs/2107.07729 (2021) - [i15]Maneet Singh, Rishemjit Kaur, Akiko Matsuo, S. R. S. Iyengar, Kazutoshi Sasahara:
Morality-based Assertion and Homophily on Social Media: A Cultural Comparison between English and Japanese Languages. CoRR abs/2108.10643 (2021) - 2020
- [c24]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 - [c23]Maneet Singh, Rishemjit Kaur, S. R. S. Iyengar:
Multidimensional Analysis of Fake News Spreaders on Twitter. CSoNet 2020: 354-365 - [c22]Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa:
Attribute Aware Filter-Drop for Bias-Invariant Classification. CVPR Workshops 2020: 147-153 - [c21]Amlaan Kar, Maneet Singh, Mayank Vatsa, Richa Singh:
Disguised Face Verification Using Inverse Disguise Quality. ECCV Workshops (6) 2020: 524-540 - [c20]Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa:
Diversity Blocks for De-biasing Classification Models. IJCB 2020: 1-9 - [i14]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)
2010 – 2019
- 2019
- [j6]Maneet Singh, Richa Singh, Arun Ross:
A comprehensive overview of biometric fusion. Inf. Fusion 52: 187-205 (2019) - [j5]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) - [j4]Akshay Sethi, Maneet Singh, Richa Singh, Mayank Vatsa:
Residual Codean Autoencoder for Facial Attribute Analysis. Pattern Recognit. Lett. 119: 157-165 (2019) - [j3]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) - [c19]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 - [c18]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 - [c17]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 - [c16]Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa:
Dual Directed Capsule Network for Very Low Resolution Image Recognition. ICCV 2019: 340-349 - [c15]Maneet Singh, Mohit Chawla, Richa Singh, Mayank Vatsa, Rama Chellappa:
Disguised Faces in the Wild 2019. ICCV Workshops 2019: 542-550 - [c14]Mohit Agarwal, Sanchit Sinha, Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa:
Triplet Transform Learning for Automated Primate Face Recognition. ICIP 2019: 3462-3466 - [i13]Maneet Singh, Richa Singh, Arun Ross:
A Comprehensive Overview of Biometric Fusion. CoRR abs/1902.02919 (2019) - [i12]Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa, Nalini K. Ratha:
Deep Learning for Face Recognition: Pride or Prejudiced? CoRR abs/1904.01219 (2019) - [i11]Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa:
Dual Directed Capsule Network for Very Low Resolution Image Recognition. CoRR abs/1908.10027 (2019) - 2018
- [c13]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 - [c12]Vineet Kushwaha, Maneet Singh, Richa Singh, Mayank Vatsa, Nalini K. Ratha, Rama Chellappa:
Disguised Faces in the Wild. CVPR Workshops 2018: 1-9 - [c11]Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh, Angshul Majumdar:
Identity Aware Synthesis for Cross Resolution Face Recognition. CVPR Workshops 2018: 479-488 - [i10]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) - [i9]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) - [i8]Akshay Sethi, Maneet Singh, Richa Singh, Mayank Vatsa:
Residual Codean Autoencoder for Facial Attribute Analysis. CoRR abs/1803.07386 (2018) - [i7]Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa:
Class Representative Autoencoder for Low Resolution Multi-Spectral Gender Classification. CoRR abs/1805.07905 (2018) - [i6]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) - [i5]Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh, Afzel Noore:
Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss! CoRR abs/1810.06221 (2018) - [i4]Maneet Singh, Richa Singh, Mayank Vatsa, Nalini K. Ratha, Rama Chellappa:
Recognizing Disguised Faces in the Wild. CoRR abs/1811.08837 (2018) - 2017
- [c10]Tarang Chugh, Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa:
Transfer Learning Based Evolutionary Algorithm for Composite Face Sketch Recognition. CVPR Workshops 2017: 619-627 - [c9]Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh, Afzel Noore, Angshul Majumdar:
Gender and ethnicity classification of Iris images using deep class-encoder. IJCB 2017: 666-673 - [c8]Shruti Nagpal, Maneet Singh, Arushi Jain, Richa Singh, Mayank Vatsa, Afzel Noore:
On matching skulls to digital face images: A preliminary approach. IJCB 2017: 813-819 - [c7]Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa, Afzel Noore, Angshul Majumdar:
Face Sketch Matching via Coupled Deep Transform Learning. ICCV 2017: 5429-5438 - [c6]Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa:
Class representative autoencoder for low resolution multi-spectral gender classification. IJCNN 2017: 1026-1033 - [c5]Daksha Yadav, Naman Kohli, Shruti Nagpal, Maneet Singh, Prateekshit Pandey, Mayank Vatsa, Richa Singh, Afzel Noore, Gokulraj Prabhakaran, Harsh Mahajan:
Region-specific fMRI dictionary for decoding face verification in humans. IJCNN 2017: 3814-3821 - [i3]Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh, Afzel Noore, Angshul Majumdar:
Gender and Ethnicity Classification of Iris Images using Deep Class-Encoder. CoRR abs/1710.02856 (2017) - [i2]Shruti Nagpal, Maneet Singh, Arushi Jain, Richa Singh, Mayank Vatsa, Afzel Noore:
On Matching Skulls to Digital Face Images: A Preliminary Approach. CoRR abs/1710.02866 (2017) - [i1]Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa, Afzel Noore, Angshul Majumdar:
Face Sketch Matching via Coupled Deep Transform Learning. CoRR abs/1710.02914 (2017) - 2016
- [c4]Maneet Singh, Shruti Nagpal, Nikita Gupta, Sanchit Gupta, Soumyadeep Ghosh, Richa Singh, Mayank Vatsa:
Cross-spectral cross-resolution video database for face recognition. BTAS 2016: 1-7 - [c3]Shivangi Yadav, Maneet Singh, Mayank Vatsa, Richa Singh, Angshul Majumdar:
Low rank group sparse representation based classifier for pose variation. ICIP 2016: 2986-2990 - 2015
- [j2]Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa:
Regularized Deep Learning for Face Recognition With Weight Variations. IEEE Access 3: 3010-3018 (2015) - [c2]Shruti Nagpal, Maneet Singh, Mayank Vatsa, Richa Singh:
Regularizing deep learning architecture for face recognition with weight variations. BTAS 2015: 1-6 - 2014
- [j1]Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa:
On Recognizing Face Images With Weight and Age Variations. IEEE Access 2: 822-830 (2014) - 2012
- [c1]Maneet Singh, Sanjay Saini:
Optimization of Complex Mathematical Functions Using a Novel Implementation of Intelligent Water Drops Algorithm. SocProS 2012: 145-149
Coauthor Index
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