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2020 – today
- 2024
[j3]Surbhi Mittal, Kartik Thakral
, Richa Singh, Mayank Vatsa, Tamar Glaser, Cristian Canton-Ferrer, Tal Hassner:
On responsible machine learning datasets emphasizing fairness, privacy and regulatory norms with examples in biometrics and healthcare. Nat. Mac. Intell. 6(8): 936-949 (2024)- [j2]Saheb Chhabra, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh:
Low-Quality Deepfake Detection via Unseen Artifacts. IEEE Trans. Artif. Intell. 5(4): 1573-1585 (2024) - [c10]Surbhi Mittal, Arnav Sudan, Mayank Vatsa, Richa Singh, Tamar Glaser, Tal Hassner:
Navigating Text-to-Image Generative Bias Across Indic Languages. ECCV (88) 2024: 53-67 - [i7]Surbhi Mittal, Arnav Sudan, Mayank Vatsa, Richa Singh, Tamar Glaser, Tal Hassner:
Navigating Text-to-Image Generative Bias across Indic Languages. CoRR abs/2408.00283 (2024) - 2023
- [c9]Kartik Narayan, Harsh Agarwal, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh:
DF-Platter: Multi-Face Heterogeneous Deepfake Dataset. CVPR 2023: 9739-9748 - [c8]Surbhi Mittal, Kartik Thakral, Puspita Majumdar, Mayank Vatsa, Richa Singh:
Are Face Detection Models Biased? FG 2023: 1-7 - [c7]Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh:
PhygitalNet: Unified Face Presentation Attack Detection via One-Class Isolation Learning. FG 2023: 1-6 - [c6]Kartik Thakral, Surbhi Mittal, Utkarsh Uppal, Bharat Giddwani, Mayank Vatsa, Richa Singh:
Self-Supervised Continual Learning. Tiny Papers @ ICLR 2023 - [i6]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
- [j1]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) - [c5]Richa Singh, Puspita Majumdar, Surbhi Mittal, Mayank Vatsa:
Anatomizing Bias in Facial Analysis. AAAI 2022: 12351-12358 - [c4]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 - [c3]Kartik Narayan, Harsh Agarwal, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh:
DeePhy: On Deepfake Phylogeny. IJCB 2022: 1-10 - [i5]Kartik Narayan, Harsh Agarwal, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh:
DeePhy: On Deepfake Phylogeny. CoRR abs/2209.09111 (2022) - [i4]Surbhi Mittal, Kartik Thakral, Puspita Majumdar, Mayank Vatsa, Richa Singh:
Are Face Detection Models Biased? CoRR abs/2211.03588 (2022) - 2021
- [c2]Muskan Dosi, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh:
AECNet: Attentive EfficientNet For Crowd Counting. FG 2021: 1-8 - [c1]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 - [i3]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) - [i2]Richa Singh, Puspita Majumdar, Surbhi Mittal, Mayank Vatsa:
Anatomizing Bias in Facial Analysis. CoRR abs/2112.06522 (2021) - 2020
- [i1]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)
Coauthor Index
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