I am an Assistant Professor in the Department of Computer Science & Engineering at Lehigh University with research interests in the areas of Media Forensics, Computer Vision, Biometrics, Pattern Recognition and Machine Learning. I serve as a member of the IEEE Information Forensics and Security Technical Committee, IEEE Biometric Council's Editorial Board and PAMI-TC and have served in the program committee of venues such as CVPR, AAAI, WACV, IJCB, FG and ICPR.
Prior to coming to Lehigh, I received my Ph.D. from the University of Notre Dame where I was a research assistant for DARPA's MediFor project led by Drs. Kevin Bowyer, Walter Scheirer and Patrick Flynn and a member of the Computer Vision Research Lab. As a Machine Learning Research Intern in the Document Intelligence Lab at Adobe Research, I worked on document change analysis with Drs. Rajiv Jain and Vlad Morariu during the summer of 2019. In 2015, I graduated from IIIT-Delhi with a B. Tech in Computer Science & Engineering and specialized in Image Analysis and Machine Intelligence. My undergraduate research was supervised by Drs. Mayank Vatsa and Richa Singh.
Prospective Students: I am looking for motivated M.S., Ph.D. students. Please email at aparna.bharati@lehigh.edu with details about your experience, areas of interest and reasons for pursuing graduate studies/research.
Research Statement: Major goals of my work are the following:
Re-establish trust in visual media and popular information mediums
Understand human perception to modify modern forensic approaches
Improve generalizability of models used for visual learning
Dive deeper into visual tasks that humans may not be proficient in
Relevant Links :
News
Paper on A Relative Data Diversity Measure for Synthetic Face Images accepted to IJCB, 2024
Paper on Exploring Saliency Bias in Manipulation Detection accepted to ICIP, 2024
Doctoral Consortium Chair, CVPR 2024
Paper titled SynthProv: Interpretable framework for profiling identity leakage accepted to WACV, 2024
Short Paper titled IdProv: Identity-Based Provenance for Synthetic Image Generation accepted to AAAI, 2023
Program Chair, ACM IHMMSec Workshop, 2023
Associate Editor, Elsevier Pattern Recognition, 2023-Present
Paper titled A Computer Vision Method for Estimating Velocity from Jumps accepted to WACV Workshop on Computer Vision for Winter Sports, 2023
Multi-Demographic Retouched Faces Dataset with Human Responses - IJCB 2022 Data Release
PC Member, AAAI 2023
Received GHC Faculty Scholarship, 2022
Joined PAMI-TC as the Web Operations Officer. Keep up with the community via the monthly newsletter and LinkedIn, May 2022
Book chapter published in the new book on Multimedia Forensics published by Springer, 2022
Area Chair, IAPR International Conference on Pattern Recognition (ICPR), 2022
Reviewer, IEEE/CVF CVPR, ECCV 2022
Reviewer, IEEE International Conference on Acoustics, Speech and Signal Processing, 2022
Paper on Athlete Performance Evaluation using Video accepted to WACV's Computer Vision for Winter Sports Workshop, 2022
Area Chair, IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2021
Paper on Fast Local Spatial Verification for Feature-Agnostic Large-Scale Image Retrieval accepted to IEEE Trans. on Image Processing (TIP), July 2021
Program Committee Member for Workshop on Face and Gesture Analysis for COVID-19 (FG4COVID19) @ FG2021
Demo co-chair for IEEE International Conference on Automatic Face and Gesture Recognition, 2021
Invited Talk at Women in Data Science, Bethlehem Chapter meeting 2021
Elected member of the IEEE IFS Technical Committee, Jan 2021
Our work on learning Transformation-Aware Embeddings for Image Provenance got accepted to IEEE Trans. on Information Forensics & Security (TIFS), Dec 2020
Media Coverage - Interview with WIRED, read full story here , Oct 2020
Invited talk at University of Campinas, Brazil on Vision and Learning-based Methods for Image Forensics, Aug 2020, (Online)
Invited talk at Texas A&M University on Provenance Analysis: A step beyond forgery detection, March 2020, College Station, TX
Invited talk at Facebook AI on Media Provenance Analysis, Feb 2020, Menlo Park, CA
Invited to attend the Grad Cohort Workshop organized by CRA in New Orleans, LA (April 16-April 18, 2020)
Attended the Grace Hopper Celebration 2019 in Orlando, FL (Oct 1-Oct 4, 2019)
Was on Internship at the Document Intelligence Lab, Adobe Research for Summer'19 (June, 2019 - Sept, 2019)
Won the Annual CSE Department Poster Competition at the University of Notre Dame (March, 2019)
Presented our work on Image Provenance Analysis Leveraging Metadata at WACV, 2019, Hawaii (Jan, 2019)
Invited talk on Demography-based Facial Retouching Detection at the Demographic Variations in Performance of Biometric Algorithms workshop at WACV, 2019, Hawaii (Jan, 2019)
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