Aparna Bharati

Orcid: 0000-0002-6404-9466

According to our database1, Aparna Bharati authored at least 25 papers between 2014 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Learn "No" to Say "Yes" Better: Improving Vision-Language Models via Negations.
CoRR, 2024

Exploring Saliency Bias in Manipulation Detection.
CoRR, 2024

SynthProv: Interpretable Framework for Profiling Identity Leakage.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Subjective Face Transform using Human First Impressions.
CoRR, 2023

IdProv: Identity-Based Provenance for Synthetic Image Generation (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A Computer Vision Method for Estimating Velocity from Jumps.
CoRR, 2022

APE-V: Athlete Performance Evaluation using Video.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

In-group and Out-group Performance Bias in Facial Retouching Detection.
Proceedings of the IEEE International Joint Conference on Biometrics, 2022

2021
Fast Local Spatial Verification for Feature-Agnostic Large-Scale Image Retrieval.
IEEE Trans. Image Process., 2021

Transformation-Aware Embeddings for Image Provenance.
IEEE Trans. Inf. Forensics Secur., 2021

2020
Learning Transformation-Aware Embeddings for Image Forensics.
CoRR, 2020

2019
Needle in a Haystack: A Framework for Seeking Small Objects in Big Datasets.
CoRR, 2019

Beyond Pixels: Image Provenance Analysis Leveraging Metadata.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

2018
Image Provenance Analysis at Scale.
IEEE Trans. Image Process., 2018

Getting the subtext without the text: Scalable multimodal sentiment classification from visual and acoustic modalities.
CoRR, 2018

Image Provenance Analysis at Scale.
CoRR, 2018

To Frontalize or Not to Frontalize: Do We Really Need Elaborate Pre-processing to Improve Face Recognition?
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

2017
Provenance filtering for multimedia phylogeny.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Spotting the difference: Context retrieval and analysis for improved forgery detection and localization.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

U-Phylogeny: Undirected provenance graph construction in the wild.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Demography-based facial retouching detection using subclass supervised sparse autoencoder.
Proceedings of the 2017 IEEE International Joint Conference on Biometrics, 2017

2016
Detecting Facial Retouching Using Supervised Deep Learning.
IEEE Trans. Inf. Forensics Secur., 2016

To Frontalize or Not To Frontalize: Do We Really Need Elaborate Pre-Processing to Improve Face Recognition Performance?
CoRR, 2016

Report on the BTAS 2016 Video Person Recognition Evaluation.
Proceedings of the 8th IEEE International Conference on Biometrics Theory, 2016

2014
Characterizing mobility patterns of people in developing countries using their mobile phone data.
Proceedings of the Sixth International Conference on Communication Systems and Networks, 2014


  Loading...