Abhijay Ghildyal

I am a 5th-year CS Ph.D. student in the Computer Graphics and Vision Lab at Portland State University. I'm fortunate to be advised by Dr. Feng Liu. My research interests lie broadly in computational visual perception, novel view synthesis, machine learning safety, adversarial robustness, robotics, and precision agriculture.

In the summer of 2023, I was an intern in the Imaging Science team at Amazon.

Email  /  CV  /  Google Scholar  /  Twitter  /  Github  /  Linkedin

profile photo
Research

Attacking Perceptual Similarity Metrics
Abhijay Ghildyal, Feng Liu
Transactions on Machine Learning Research (TMLR), 2023
Featured Certification (Spotlight 🌟 or top ~0.01% of the accepted papers)
arXiv  /  code  /  OpenReview  /  bibtex

In this study, we systematically examine the robustness of both traditional and learned perceptual similarity metrics to imperceptible adversarial perturbations.

A Perceptual Quality Metric for Video Frame Interpolation
Qiqi Hou, Abhijay Ghildyal, Feng Liu
European Conference on Computer Vision (ECCV), 2022
arXiv  /  video  /  code  /  bibtex

We developed a perceptual quality metric for measuring video frame interpolation results. Our method learns perceptual features directly from videos instead of individual frames.

Shift-tolerant Perceptual Similarity Metric
Abhijay Ghildyal, Feng Liu
European Conference on Computer Vision (ECCV), 2022
arXiv  /  code  /  video  /  IQA-PyTorch  /   /  bibtex

We investigated a broad range of neural network elements and developed a robust perceptual similarity metric. Our shift-tolerant perceptual similarity metric (ST-LPIPS) is consistent with human perception and is less susceptible to imperceptible misalignments between two images than existing metrics.

Experience
4 months Jun'23-Oct'23
Applied Scientist Intern for Amazon, Imaging Science
3 months May'19-Jul'19
Deep Learning Intern for Cambia Health Solutions
3 months Dec'18-Feb'19
Graduate Research Assistant for Center for Precision and Automated Agricultural Systems, Washington State University
Advised by Dr. Manoj Karkee
10 months Nov'17-Aug'18
Data Scientist for Quantela Inc.
2 years Oct'15-Nov'17
Data Science Research Analyst for Innovation and Development Labs at Mu Sigma Inc.
6 months Jun'15-Oct'15
Intern for Dr. Ganesh Ramakrishnan at Indian Institute of Technology Bombay

Teaching
Teaching Assistant
CS 441/541 Artificial Intelligence (Fall'19,Winter'20)
CS 445/545 Machine Learning (Spring'21)
CS 447/547 Computer Graphics (Fall'21)

Services
Conference Reviewer
ACMMM (2022)
WiCV (CVPR 2023)
TMLR (2023)
WACV (2024)

Design and source code from Jon Barron's website.