Kartik Thakral

Orcid: 0000-0002-2528-9950

According to our database1, Kartik Thakral authored at least 14 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Low-Quality Deepfake Detection via Unseen Artifacts.
IEEE Trans. Artif. Intell., April, 2024

On responsible machine learning datasets emphasizing fairness, privacy and regulatory norms with examples in biometrics and healthcare.
Nat. Mac. Intell., 2024

HyperSpaceX: Radial and Angular Exploration of HyperSpherical Dimensions.
Proceedings of the Computer Vision - ECCV 2024, 2024

ToonerGAN: Reinforcing GANs for Obfuscating Automated Facial Indexing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
On Responsible Machine Learning Datasets with Fairness, Privacy, and Regulatory Norms.
CoRR, 2023

Self-Supervised Continual Learning.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

PhygitalNet: Unified Face Presentation Attack Detection via One-Class Isolation Learning.
Proceedings of the 17th IEEE International Conference on Automatic Face and Gesture Recognition, 2023

Are Face Detection Models Biased?
Proceedings of the 17th IEEE International Conference on Automatic Face and Gesture Recognition, 2023

DF-Platter: Multi-Face Heterogeneous Deepfake Dataset.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Multi-task driven explainable diagnosis of COVID-19 using chest X-ray images.
Pattern Recognit., 2022

DeePhy: On Deepfake Phylogeny.
Proceedings of the IEEE International Joint Conference on Biometrics, 2022

DeSI: Deepfake Source Identifier for Social Media.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
AECNet: Attentive EfficientNet For Crowd Counting.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

2019
Authorship Clustering using TF-IDF weighted Word-Embeddings.
Proceedings of the FIRE '19: Forum for Information Retrieval Evaluation, 2019


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