


Остановите войну!
for scientists:


default search action
Richa Singh 0001
Person information

- affiliation: IIT Jodhpur, India
- affiliation (former): Indraprastha Institute of Information Technology Delhi, New Delhi, India
- affiliation (PhD 2008): West Virginia University, Morgantown, WV, USA
Other persons with the same name
- Richa Singh — disambiguation page
- Richa Singh 0002 — Birla Institute of Management Studies, Bhimtal, India
- Richa Singh 0003
— Worcester Polytechnique Institute, WPI, Department of Electrical and Computer Engineering, MA, USA
Refine list

refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
- [j95]Akshay Agarwal
, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
Parameter agnostic stacked wavelet transformer for detecting singularities. Inf. Fusion 95: 415-425 (2023) - [j94]Puspita Majumdar, Mayank Vatsa, Richa Singh
:
Uniform misclassification loss for unbiased model prediction. Pattern Recognit. 144: 109689 (2023) - [j93]Aman Mehra, Akshay Agarwal
, Mayank Vatsa
, Richa Singh
:
Motion Magnified 3-D Residual-in-Dense Network for DeepFake Detection. IEEE Trans. Biom. Behav. Identity Sci. 5(1): 39-52 (2023) - [j92]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) - [j91]Rachael E. Jack, Vishal M. Patel, Pavan K. Turaga, Mayank Vatsa
, Rama Chellappa, Alex Pentland, Richa Singh:
Best Paper Section IEEE International Conference on Automatic Face and Gesture Recognition 2021. IEEE Trans. Biom. Behav. Identity Sci. 5(3): 305-307 (2023) - [j90]Aakarsh Malhotra, Mayank Vatsa, Richa Singh:
Dropped Scheduled Task: Mitigating Negative Transfer in Multi-task Learning using Dynamic Task Dropping. Trans. Mach. Learn. Res. 2023 (2023) - [c209]Harshil Bhatia, Jaisidh Singh, Gaurav Sangwan, Aparna Bharati
, Richa Singh, Mayank Vatsa:
IdProv: Identity-Based Provenance for Synthetic Image Generation (Student Abstract). AAAI 2023: 16164-16165 - [c208]Akshay Agarwal, Nalini K. Ratha, Richa Singh, Mayank Vatsa:
Robustness Against Gradient based Attacks through Cost Effective Network Fine-Tuning. CVPR Workshops 2023: 28-37 - [c207]Kartik Narayan, Harsh Agarwal, Kartik Thakral, Surbhi Mittal
, Mayank Vatsa, Richa Singh:
DF-Platter: Multi-Face Heterogeneous Deepfake Dataset. CVPR 2023: 9739-9748 - [c206]Surbhi Mittal
, Kartik Thakral, Puspita Majumdar, Mayank Vatsa, Richa Singh:
Are Face Detection Models Biased? FG 2023: 1-7 - [c205]Kartik Thakral, Surbhi Mittal
, Mayank Vatsa, Richa Singh:
PhygitalNet: Unified Face Presentation Attack Detection via One-Class Isolation Learning. FG 2023: 1-6 - [c204]Gaurav Goswami, Akshay Agarwal, Nalini K. Ratha, Richa Singh, Mayank Vatsa:
Federated Learning for Local and Global Data Distribution. Tiny Papers @ ICLR 2023 - [c203]Kartik Thakral, Surbhi Mittal, Utkarsh Uppal, Bharat Giddwani, Mayank Vatsa, Richa Singh:
Self-Supervised Continual Learning. Tiny Papers @ ICLR 2023 - [c202]Kshitiz, Sonu Shreshtha, Ramy Mounir, Mayank Vatsa, Richa Singh, Saket Anand, Sudeep Sarkar, Sevaram Mali Parihar:
Long-term Monitoring of Bird Flocks in the Wild. IJCAI 2023: 6344-6352 - [c201]Yasmeena Akhter, Rishabh Ranjan, Richa Singh, Mayank Vatsa, Santanu Chaudhury:
On AI-Assisted Pneumoconiosis Detection from Chest X-rays. IJCAI 2023: 6353-6361 - [c200]Misaal Khan, Shivang Agarwal, Mayank Vatsa, Richa Singh, Kuldeep Singh:
NutriAI: AI-Powered Child Malnutrition Assessment in Low-Resource Environments. IJCAI 2023: 6378-6385 - [c199]Rishabh Ranjan, Mayank Vatsa, Richa Singh:
Uncovering the Deceptions: An Analysis on Audio Spoofing Detection and Future Prospects. IJCAI 2023: 6750-6758 - [c198]Aakarsh Malhotra, Mayank Vatsa, Richa Singh:
MMFV: A Multi-Movement Finger-Video Database for Contactless Fingerprint Recognition. IWBF 2023: 1-6 - [c197]Akshay Agarwal, Nalini K. Ratha, Afzel Noore, Richa Singh, Mayank Vatsa:
Misclassifications of Contact Lens Iris PAD Algorithms: Is it Gender Bias or Environmental Conditions? WACV 2023: 961-970 - [i55]Rishabh Ranjan, Mayank Vatsa, Richa Singh:
Uncovering the Deceptions: An Analysis on Audio Spoofing Detection and Future Prospects. CoRR abs/2307.06669 (2023) - [i54]Mahapara Khurshid, Mayank Vatsa, Richa Singh:
Multi-task Explainable Skin Lesion Classification. CoRR abs/2310.07209 (2023) - [i53]Surbhi Mittal, Kartik Thakral, Richa Singh, Mayank Vatsa, Tamar Glaser, Cristian Canton-Ferrer, Tal Hassner:
On Responsible Machine Learning Datasets with Fairness, Privacy, and Regulatory Norms. CoRR abs/2310.15848 (2023) - 2022
- [j89]Pavani Tripathi
, Yasmeena Akhter, Mahapara Khurshid
, Aditya Lakra
, Rohit Keshari, Mayank Vatsa
, Richa Singh:
MTCD: Cataract detection via near infrared eye images. Comput. Vis. Image Underst. 214: 103303 (2022) - [j88]Akshay Agarwal, Richa Singh, Mayank Vatsa, Afzel Noore:
Boosting Face Presentation Attack Detection in Multi-Spectral Videos Through Score Fusion of Wavelet Partition Images. Frontiers Big Data 5 (2022) - [j87]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) - [j86]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. Pattern Recognit. 122: 108243 (2022) - [j85]Akshay Agarwal
, Afzel Noore, Mayank Vatsa
, Richa Singh:
Enhanced iris presentation attack detection via contraction-expansion CNN. Pattern Recognit. Lett. 159: 61-69 (2022) - [j84]Soumyadeep Ghosh, Mayank Vatsa
, Richa Singh
:
SUPREAR-NET: Supervised Resolution Enhancement and Recognition Network. IEEE Trans. Biom. Behav. Identity Sci. 4(2): 185-196 (2022) - [j83]Akshay Agarwal
, Afzel Noore, Mayank Vatsa
, Richa Singh
:
Generalized Contact Lens Iris Presentation Attack Detection. IEEE Trans. Biom. Behav. Identity Sci. 4(3): 373-385 (2022) - [j82]Maneet Singh, Shruti Nagpal, Richa Singh
, Mayank Vatsa
:
Disguise Resilient Face Verification. IEEE Trans. Circuits Syst. Video Technol. 32(6): 3895-3905 (2022) - [j81]Akshay Agarwal
, Nalini K. Ratha
, Mayank Vatsa
, Richa Singh
:
Crafting Adversarial Perturbations via Transformed Image Component Swapping. IEEE Trans. Image Process. 31: 7338-7349 (2022) - [j80]Akshay Agarwal
, Gaurav Goswami, Mayank Vatsa
, Richa Singh
, Nalini K. Ratha
:
DAMAD: Database, Attack, and Model Agnostic Adversarial Perturbation Detector. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3277-3289 (2022) - [c196]Richa Singh, Puspita Majumdar, Surbhi Mittal, Mayank Vatsa:
Anatomizing Bias in Facial Analysis. AAAI 2022: 12351-12358 - [c195]Akshay Agarwal, Nalini K. Ratha, Mayank Vatsa, Richa Singh:
Exploring Robustness Connection between Artificial and Natural Adversarial Examples. CVPR Workshops 2022: 178-185 - [c194]Kartik Narayan, Harsh Agarwal, Surbhi Mittal
, Kartik Thakral, Suman Kundu, Mayank Vatsa, Richa Singh:
DeSI: Deepfake Source Identifier for Social Media. CVPR Workshops 2022: 2857-2866 - [c193]Akshay Agarwal
, Nalini K. Ratha
, Mayank Vatsa
, Richa Singh
:
Benchmarking Robustness Beyond lp Norm Adversaries. ECCV Workshops (1) 2022: 342-359 - [c192]Aditya Singh, Saheb Chhabra, Puspita Majumdar, Richa Singh, Mayank Vatsa:
Mannet: A Large-Scale Manipulated Image Detection Dataset And Baseline Evaluations. ICASSP 2022: 1780-1784 - [c191]Aparna Bharati
, Emma Connors, Mayank Vatsa, Richa Singh, Kevin W. Bowyer:
In-group and Out-group Performance Bias in Facial Retouching Detection. IJCB 2022: 1-10 - [c190]Kartik Narayan, Harsh Agarwal, Kartik Thakral, Surbhi Mittal
, Mayank Vatsa, Richa Singh:
DeePhy: On Deepfake Phylogeny. IJCB 2022: 1-10 - [c189]Rishabh Ranjan, Mayank Vatsa, Richa Singh:
STATNet: Spectral and Temporal features based Multi-Task Network for Audio Spoofing Detection. IJCB 2022: 1-9 - [c188]Vishi Jain, Akshay Agarwal, Richa Singh, Mayank Vatsa, Nalini K. Ratha:
Robust IRIS Presentation Attack Detection Through Stochastic Filter Noise. ICPR 2022: 1134-1140 - [p8]Puspita Majumdar, Akshay Agarwal
, Mayank Vatsa, Richa Singh:
Facial Retouching and Alteration Detection. Handbook of Digital Face Manipulation and Detection 2022: 367-387 - [e3]Raj Tumuluri, Nicu Sebe, Gopal Pingali, Dinesh Babu Jayagopi, Abhinav Dhall, Richa Singh, Lisa Anthony, Albert Ali Salah:
International Conference on Multimodal Interaction, ICMI 2022, Bengaluru, India, November 7-11, 2022. ACM 2022, ISBN 978-1-4503-9390-4 [contents] - [e2]Raj Tumuluri, Nicu Sebe, Gopal Pingali, Dinesh Babu Jayagopi, Abhinav Dhall, Richa Singh, Lisa Anthony, Albert Ali Salah:
International Conference on Multimodal Interaction, ICMI 2022, Companion Volume, Bengaluru, India, November 7-11, 2022. ACM 2022, ISBN 978-1-4503-9389-8 [contents] - [i52]Sasikanth Kotti, Mayank Vatsa, Richa Singh:
On GANs perpetuating biases for face verification. CoRR abs/2208.13061 (2022) - [i51]Kartik Narayan, Harsh Agarwal, Kartik Thakral, Surbhi Mittal
, Mayank Vatsa, Richa Singh:
DeePhy: On Deepfake Phylogeny. CoRR abs/2209.09111 (2022) - [i50]Surbhi Mittal
, Kartik Thakral, Puspita Majumdar, Mayank Vatsa, Richa Singh:
Are Face Detection Models Biased? CoRR abs/2211.03588 (2022) - 2021
- [j79]Rama Chellappa, Diego Gragnaniello
, Chang-Tsun Li, Francesco Marra, Richa Singh:
Guest Editorial: Adversarial Deep Learning in Biometrics & Forensics. Comput. Vis. Image Underst. 208-209: 103227 (2021) - [j78]Tejas I. Dhamecha, Soumyadeep Ghosh, Mayank Vatsa, Richa Singh:
Kernelized Heterogeneity-Aware Cross-View Face Recognition. Frontiers Artif. Intell. 4: 670538 (2021) - [j77]Shruti Nagpal, Maneet Singh, Richa Singh
, Mayank Vatsa:
Discriminative shared transform learning for sketch to image matching. Pattern Recognit. 114: 107815 (2021) - [j76]Saksham Suri, Anush Sankaran, Mayank Vatsa, Richa Singh:
Improving face recognition performance using TeCS2 dictionary. Pattern Recognit. Lett. 145: 88-95 (2021) - [j75]Akshay Agarwal
, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
Cognitive data augmentation for adversarial defense via pixel masking. Pattern Recognit. Lett. 146: 244-251 (2021) - [j74]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) - [j73]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) - [j72]Nalini K. Ratha, Richa Singh, Vitomir Struc, Ioannis A. Kakadiaris, P. Jonathon Phillips, Mayank Vatsa:
TBIOM Special Issue on "Best Reviewed Papers From IJCB 2020 - Editorial". IEEE Trans. Biom. Behav. Identity Sci. 3(4): 441-442 (2021) - [j71]Akshay Agarwal
, Richa Singh
, Mayank Vatsa
, Nalini K. Ratha
:
Image Transformation-Based Defense Against Adversarial Perturbation on Deep Learning Models. IEEE Trans. Dependable Secur. Comput. 18(5): 2106-2121 (2021) - [c187]Puspita Majumdar, Richa Singh, Mayank Vatsa:
On Learning Deep Models with Imbalanced Data Distribution. AAAI 2021: 15720-15721 - [c186]Akshay Agarwal
, Mayank Vatsa, Richa Singh:
Role of Optimizer on Network Fine-tuning for Adversarial Robustness (Student Abstract). AAAI 2021: 15745-15746 - [c185]Arushi Chauhan, Mayank Vatsa, Richa Singh:
NEAP-F: Network Epoch Accuracy Prediction Framework (Student Abstract). AAAI 2021: 15767-15768 - [c184]Aman Mehra, Akshay Agarwal
, Mayank Vatsa, Richa Singh:
Detection of Digital Manipulation in Facial Images (Student Abstract). AAAI 2021: 15845-15846 - [c183]Divyanshu Sundriyal, Soumyadeep Ghosh, Mayank Vatsa, Richa Singh:
Semi-Supervised Learning via Triplet Network Based Active Learning (Student Abstract). AAAI 2021: 15903-15904 - [c182]Richa Singh, Mayank Vatsa, Nalini K. Ratha:
Trustworthy AI. COMAD/CODS 2021: 449-453 - [c181]Aayushi Agarwal, Akshay Agarwal
, Sayan Sinha, Mayank Vatsa, Richa Singh:
MD-CSDNetwork: Multi-Domain Cross Stitched Network for Deepfake Detection. FG 2021: 1-8 - [c180]Akshay Agarwal
, Nalini K. Ratha, Mayank Vatsa, Richa Singh:
When Sketch Face Recognition Meets Mask Obfuscation: Database and Benchmark. FG 2021: 1-5 - [c179]Muskan Dosi, Kartik Thakral, Surbhi Mittal
, Mayank Vatsa, Richa Singh:
AECNet: Attentive EfficientNet For Crowd Counting. FG 2021: 1-8 - [c178]Soumyadeep Ghosh, Richa Singh, Mayank Vatsa, Afzel Noore:
RGB-D Face Recognition using Reconstruction based Shared Representation. FG 2021: 1-8 - [c177]Shiksha Mishra, Puspita Majumdar, Muskan Dosi, Mayank Vatsa, Richa Singh:
Dual Sensor Indian Masked Face Dataset. FG 2021: 1-8 - [c176]Puspita Majumdar, Surbhi Mittal
, Richa Singh, Mayank Vatsa:
Unravelling the Effect of Image Distortions for Biased Prediction of Pre-trained Face Recognition Models. ICCVW 2021: 3779-3788 - [c175]Puspita Majumdar, Richa Singh, Mayank Vatsa:
Attention Aware Debiasing for Unbiased Model Prediction. ICCVW 2021: 4116-4124 - [c174]Akshay Agarwal
, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
Intelligent and Adaptive Mixup Technique for Adversarial Robustness. ICIP 2021: 824-828 - [c173]Shiksha Mishra, Puspita Majumdar, Richa Singh, Mayank Vatsa:
Indian Masked Faces in the Wild Dataset. ICIP 2021: 884-888 - [c172]Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh:
Class Equilibrium using Coulomb's Law. IJCNN 2021: 1-8 - [c171]Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh:
Enhancing Fine-Grained Classification for Low Resolution Images. IJCNN 2021: 1-8 - [c170]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 - [c169]Akshay Agarwal
, Nalini K. Ratha, Mayank Vatsa, Richa Singh:
Impact of Super-Resolution and Human Identification in Drone Surveillance. WIFS 2021: 1-6 - [i49]Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh:
Class Equilibrium using Coulomb's Law. CoRR abs/2104.12287 (2021) - [i48]Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh:
Enhancing Fine-Grained Classification for Low Resolution Images. CoRR abs/2105.00241 (2021) - [i47]Shiksha Mishra, Puspita Majumdar, Richa Singh, Mayank Vatsa:
Indian Masked Faces in the Wild Dataset. CoRR abs/2106.09670 (2021) - [i46]Puspita Majumdar, Surbhi Mittal, Richa Singh, Mayank Vatsa:
Unravelling the Effect of Image Distortions for Biased Prediction of Pre-trained Face Recognition Models. CoRR abs/2108.06581 (2021) - [i45]Aayushi Agarwal, Akshay Agarwal, Sayan Sinha, Mayank Vatsa, Richa Singh:
MD-CSDNetwork: Multi-Domain Cross Stitched Network for Deepfake Detection. CoRR abs/2109.07311 (2021) - [i44]Pavani Tripathi, Yasmeena Akhter, Mahapara Khurshid, Aditya Lakra, Rohit Keshari, Mayank Vatsa, Richa Singh:
MTCD: Cataract Detection via Near Infrared Eye Images. CoRR abs/2110.02564 (2021) - [i43]Richa Singh, Puspita Majumdar, Surbhi Mittal, Mayank Vatsa:
Anatomizing Bias in Facial Analysis. CoRR abs/2112.06522 (2021) - 2020
- [j70]Puspita Majumdar, Saheb Chhabra, Richa Singh, Mayank Vatsa:
Subgroup Invariant Perturbation for Unbiased Pre-Trained Model Prediction. Frontiers Big Data 3: 590296 (2020) - [j69]J. Ross Beveridge, Mohamed Daoudi, Catherine Pelachaud, Richa Singh:
Selected Best Works From Automated Face and Gesture Recognition 2019. IEEE Trans. Biom. Behav. Identity Sci. 2(2): 83-84 (2020) - [j68]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) - [j67]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) - [j66]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) - [c168]Sarthak Jindal, Raghav Sood, Richa Singh, Mayank Vatsa, Tanmoy Chakraborty:
NewsBag: A Benchmark Multimodal Dataset for Fake News Detection. SafeAI@AAAI 2020: 138-145 - [c167]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 - [c166]Rohit Keshari, Soumyadeep Ghosh, Saheb Chhabra, Mayank Vatsa, Richa Singh:
Unravelling Small Sample Size Problems in the Deep Learning World. BigMM 2020: 134-143 - [c165]Akhil Goel, Akshay Agarwal
, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
DNDNet: Reconfiguring CNN for Adversarial Robustness. CVPR Workshops 2020: 103-110 - [c164]Aakarsh Malhotra
, Saheb Chhabra, Mayank Vatsa, Richa Singh:
On Privacy Preserving Anonymization of Finger-selfies. CVPR Workshops 2020: 120-128 - [c163]Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa:
Attribute Aware Filter-Drop for Bias-Invariant Classification. CVPR Workshops 2020: 147-153 - [c162]Akshay Agarwal
, Richa Singh, Mayank Vatsa:
The Role of 'Sign' and 'Direction' of Gradient on the Performance of CNN. CVPR Workshops 2020: 2748-2756 - [c161]Anubhav Jain, Puspita Majumdar, Richa Singh, Mayank Vatsa:
Detecting GANs and Retouching based Digital Alterations via DAD-HCNN. CVPR Workshops 2020: 2870-2879 - [c160]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 - [c159]Rohit Keshari, Richa Singh, Mayank Vatsa:
Generalized Zero-Shot Learning via Over-Complete Distribution. CVPR 2020: 13297-13305 - [c158]Divyam Anshumaan, Akshay Agarwal
, Mayank Vatsa, Richa Singh:
WaveTransform: Crafting Adversarial Examples via Input Decomposition. ECCV Workshops (1) 2020: 152-168 - [c157]Raunak Sinha, Mayank Vatsa, Richa Singh:
FamilyGAN: Generating Kin Face Images Using Generative Adversarial Networks. ECCV Workshops (3) 2020: 297-311 - [c156]Amlaan Kar, Maneet Singh, Mayank Vatsa, Richa Singh:
Disguised Face Verification Using Inverse Disguise Quality. ECCV Workshops (6) 2020: 524-540 - [c155]Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa:
Diversity Blocks for De-biasing Classification Models. IJCB 2020: 1-9 - [c154]Saheb Chhabra, Akshay Agarwal
, Richa Singh, Mayank Vatsa:
Attack Agnostic Adversarial Defense via Visual Imperceptible Bound. ICPR 2020: 5302-5309 - [c153]Mehak Gupta, Vishal Singh, Akshay Agarwal
, Mayank Vatsa, Richa Singh:
Generalized Iris Presentation Attack Detection Algorithm under Cross-Database Settings. ICPR 2020: 5318-5325 - [c152]Nilay Sanghvi, Sushant Kumar Singh, Akshay Agarwal
, Mayank Vatsa, Richa Singh:
MixNet for Generalized Face Presentation Attack Detection. ICPR 2020: 5511-5518 - [c151]Daksha Yadav, Naman Kohli, Mayank Vatsa, Richa Singh, Afzel Noore:
Age Gap Reducer-GAN for Recognizing Age-Separated Faces. ICPR 2020: 10090-10097 - [c150]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 - [e1]Richa Singh
, Mayank Vatsa
, Vishal M. Patel, Nalini K. Ratha
:
Domain Adaptation for Visual Understanding. Springer 2020, ISBN 978-3-030-30670-0 [contents] - [i42]Prabhat Kumar, Mayank Vatsa, Richa Singh:
Detecting Face2Face Facial Reenactment in Videos. CoRR abs/2001.07444 (2020) - [i41]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) - [i40]Rohit Keshari, Richa Singh, Mayank Vatsa:
Generalized Zero-Shot Learning Via Over-Complete Distribution. CoRR abs/2004.00666 (2020) - [i39]Akhil Goel, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
Securing CNN Model and Biometric Template using Blockchain. CoRR abs/2008.00054 (2020) - [i38]Puspita Majumdar, Saheb Chhabra, Richa Singh, Mayank Vatsa:
Subclass Contrastive Loss for Injured Face Recognition. CoRR abs/2008.01993 (2020) - [i37]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) - [i36]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) - [i35]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) - [i34]