Search Results for author: Pritam Sarkar

Found 11 papers, 9 papers with code

Mitigating Object Hallucination via Data Augmented Contrastive Tuning

no code implementations28 May 2024 Pritam Sarkar, Sayna Ebrahimi, Ali Etemad, Ahmad Beirami, Sercan Ö. Arik, Tomas Pfister

For a given factual token, we create a hallucinated token through generative data augmentation by selectively altering the ground-truth information.

Data Augmentation Hallucination +1

Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation

1 code implementation25 Aug 2023 Debaditya Shome, Pritam Sarkar, Ali Etemad

In this work, we introduce Region-Disentangled Diffusion Model (RDDM), a novel diffusion model designed to capture the complex temporal dynamics of ECG.

Blood pressure estimation Denoising +2

AVCAffe: A Large Scale Audio-Visual Dataset of Cognitive Load and Affect for Remote Work

1 code implementation13 May 2022 Pritam Sarkar, Aaron Posen, Ali Etemad

We introduce AVCAffe, the first Audio-Visual dataset consisting of Cognitive load and Affect attributes.

Management

Detection of Maternal and Fetal Stress from the Electrocardiogram with Self-Supervised Representation Learning

2 code implementations3 Nov 2020 Pritam Sarkar, Silvia Lobmaier, Bibiana Fabre, Diego González, Alexander Mueller, Martin G. Frasch, Marta C. Antonelli, Ali Etemad

Our DL models accurately detect the chronic stress exposure group (AUROC=0. 982+/-0. 002), the individual psychological stress score (R2=0. 943+/-0. 009) and FSI at 34 weeks of gestation (R2=0. 946+/-0. 013), as well as the maternal hair cortisol at birth reflecting chronic stress exposure (0. 931+/-0. 006).

Representation Learning Self-Supervised Learning

CardioGAN: Attentive Generative Adversarial Network with Dual Discriminators for Synthesis of ECG from PPG

2 code implementations30 Sep 2020 Pritam Sarkar, Ali Etemad

Electrocardiogram (ECG) is the electrical measurement of cardiac activity, whereas Photoplethysmogram (PPG) is the optical measurement of volumetric changes in blood circulation.

Generative Adversarial Network

Self-supervised ECG Representation Learning for Emotion Recognition

2 code implementations4 Feb 2020 Pritam Sarkar, Ali Etemad

Six different signal transformations are applied to the ECG signals, and transformation recognition is performed as pretext tasks.

Emotion Recognition Multi-Task Learning +1

Self-supervised Learning for ECG-based Emotion Recognition

2 code implementations14 Oct 2019 Pritam Sarkar, Ali Etemad

Our proposed architecture consists of two main networks, a signal transformation recognition network and an emotion recognition network.

Emotion Recognition Self-Supervised Learning

Classification of Cognitive Load and Expertise for Adaptive Simulation using Deep Multitask Learning

no code implementations31 Jul 2019 Pritam Sarkar, Kyle Ross, Aaron J. Ruberto, Dirk Rodenburg, Paul Hungler, Ali Etemad

Simulations are a pedagogical means of enabling a risk-free way for healthcare practitioners to learn, maintain, or enhance their knowledge and skills.

General Classification

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