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Hi there 👋! I'm Jay Gopal

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Applying artificial intelligence and computer vision to transform healthcare. Experienced software engineer with a diverse and ever-expanding toolbox (see details below).

Research interests: explainable AI (attribution-based and counterfactual methods for black-box & white-box models), machine learning for medicine (diagnosis, robotic surgery, and more), and computational neuroscience (comparing and contrasting deep neural networks with human vision, EEG analysis, and signal processing).

Let's connect! Feel free to email me at [email protected], or connnect with me on LinkedIn!


🧰 Toolbox

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Jay Gopal's Projects

adversarialclustering icon adversarialclustering

Clustering the image embeddings from the latent space of a masked autoencoder to visualize how learned features separate classes, and as a proxy for accuracy.

clickme_video icon clickme_video

Implementing video clickme to create explainable 3D computer vision models

craft-pytorch icon craft-pytorch

Official implementation of Character Region Awareness for Text Detection (CRAFT)

ganalyze icon ganalyze

The authors' official implementation of GANalyze, a framework for studying cognitive properties such as memorability, aesthetics, and emotional valence using genenerative models.

glaucomaai icon glaucomaai

Automated diagnosis of glaucoma using machine learning

hsemotion icon hsemotion

Efficient face emotion recognition in photos and videos

lavis icon lavis

LAVIS - A One-stop Library for Language-Vision Intelligence

me-graphau icon me-graphau

[IJCAI 2022] Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition, Pytorch code

mmpose icon mmpose

OpenMMLab Pose Estimation Toolbox and Benchmark.

open_dbm icon open_dbm

Tool for measurement of digital biomarkers from video or audio of an individual’s behavior.

quantum-error-correction icon quantum-error-correction

Quantum Error Correction (QEC) is a critical step in implementing quantum computing at scale. We implement an algorithm and show it successfully reduces noise in various quantum circuits.

rl-parameter-recovery icon rl-parameter-recovery

A behavioral decision making task and computational modeling to distinguish human discount factors. How much does a given participant devalue future reward?

viewfool_ icon viewfool_

This repository contains the ViewFool and ImageNet-V proposed by the paper “ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints” (NeurIPS2022).

yolo_tracking icon yolo_tracking

BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

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