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Puspita Majumdar
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2020 – today
- 2024
- [c15]Srini Rohan Gujulla Leel
, Vikrant Dey
, Puspita Majumdar
, Ankit Khairkar
:
HierTGAN: Hierarchical Time Series Generation with Aggregation Constraints. COMAD/CODS 2024: 217-221 - 2023
- [j5]Puspita Majumdar, Mayank Vatsa, Richa Singh
:
Uniform misclassification loss for unbiased model prediction. Pattern Recognit. 144: 109689 (2023) - [j4]Saheb Chhabra
, Puspita Majumdar
, Mayank Vatsa
, Richa Singh
:
Feature-Guided Perturbation for Facial Attribute Classification. IEEE Trans. Artif. Intell. 4(6): 1739-1751 (2023) - [c14]Surbhi Mittal
, Kartik Thakral, Puspita Majumdar, Mayank Vatsa, Richa Singh:
Are Face Detection Models Biased? FG 2023: 1-7 - 2022
- [j3]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) - [c13]Richa Singh, Puspita Majumdar, Surbhi Mittal, Mayank Vatsa:
Anatomizing Bias in Facial Analysis. AAAI 2022: 12351-12358 - [c12]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 - [p1]Puspita Majumdar, Akshay Agarwal
, Mayank Vatsa, Richa Singh:
Facial Retouching and Alteration Detection. Handbook of Digital Face Manipulation and Detection 2022: 367-387 - [i8]Surbhi Mittal
, Kartik Thakral, Puspita Majumdar, Mayank Vatsa, Richa Singh:
Are Face Detection Models Biased? CoRR abs/2211.03588 (2022) - 2021
- [j2]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) - [c11]Puspita Majumdar, Richa Singh, Mayank Vatsa:
On Learning Deep Models with Imbalanced Data Distribution. AAAI 2021: 15720-15721 - [c10]Shiksha Mishra, Puspita Majumdar, Muskan Dosi, Mayank Vatsa, Richa Singh:
Dual Sensor Indian Masked Face Dataset. FG 2021: 1-8 - [c9]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 - [c8]Puspita Majumdar, Richa Singh, Mayank Vatsa:
Attention Aware Debiasing for Unbiased Model Prediction. ICCVW 2021: 4116-4124 - [c7]Shiksha Mishra, Puspita Majumdar, Richa Singh, Mayank Vatsa:
Indian Masked Faces in the Wild Dataset. ICIP 2021: 884-888 - [c6]Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh:
Class Equilibrium using Coulomb's Law. IJCNN 2021: 1-8 - [i7]Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh:
Class Equilibrium using Coulomb's Law. CoRR abs/2104.12287 (2021) - [i6]Shiksha Mishra, Puspita Majumdar, Richa Singh, Mayank Vatsa:
Indian Masked Faces in the Wild Dataset. CoRR abs/2106.09670 (2021) - [i5]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) - [i4]Richa Singh, Puspita Majumdar, Surbhi Mittal, Mayank Vatsa:
Anatomizing Bias in Facial Analysis. CoRR abs/2112.06522 (2021) - 2020
- [j1]Puspita Majumdar, Saheb Chhabra, Richa Singh, Mayank Vatsa:
Subgroup Invariant Perturbation for Unbiased Pre-Trained Model Prediction. Frontiers Big Data 3: 590296 (2020) - [c5]Anubhav Jain, Puspita Majumdar, Richa Singh, Mayank Vatsa:
Detecting GANs and Retouching based Digital Alterations via DAD-HCNN. CVPR Workshops 2020: 2870-2879 - [i3]Puspita Majumdar, Saheb Chhabra, Richa Singh, Mayank Vatsa:
Subclass Contrastive Loss for Injured Face Recognition. CoRR abs/2008.01993 (2020) - [i2]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)
2010 – 2019
- 2019
- [c4]Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh:
Data Fine-Tuning. AAAI 2019: 8223-8230 - [c3]Puspita Majumdar, Saheb Chhabra, Richa Singh, Mayank Vatsa:
Subclass Contrastive Loss for Injured Face Recognition. BTAS 2019: 1-7 - [c2]Puspita Majumdar, Akshay Agarwal
, Richa Singh, Mayank Vatsa:
Evading Face Recognition via Partial Tampering of Faces. CVPR Workshops 2019: 11-20 - 2018
- [c1]Puspita Majumdar, Saheb Chhabra, Richa Singh
, Mayank Vatsa
:
On Detecting Domestic Abuse via Faces. CVPR Workshops 2018: 2173-2179 - [i1]Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh:
Data Fine-tuning. CoRR abs/1812.03944 (2018)
Coauthor Index
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last updated on 2024-04-24 22:58 CEST by the dblp team
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