17 citations · 25 across the 8 of their papers we have counts for
9 papers
A Heterogeneous Ensemble for Multi-Center COVID-19 Classification from Chest CT Scans
Aadit Nilay, Bhavesh Thapar, Anant Agrawal +1
The COVID-19 pandemic exposed critical limitations in diagnostic workflows: RT-PCR tests suffer from slow turnaround times and high false-negative rates, while CT-based screening o…
Bringing together invertible UNets with invertible attention modules for memory-efficient diffusion models
Karan Jain, Mohammad Nayeem Teli
Diffusion models have recently gained state of the art performance on many image generation tasks. However, most models require significant computational resources to achieve this.…
My LLM might Mimic AAE -- But When Should it?
Sandra C. Sandoval, Christabel Acquaye, Kwesi Cobbina +2
We examine the representation of African American English (AAE) in large language models (LLMs), exploring (a) the perceptions Black Americans have of how effective these technolog…
Improving Deep Generative Models on Many-To-One Image-to-Image Translation
Sagar Saxena, Mohammad Nayeem Teli
Deep generative models have been applied to multiple applications in image-to-image translation. Generative Adversarial Networks and Diffusion Models have presented impressive resu…
Birds' Eye View: Measuring Behavior and Posture of Chickens as a Metric for Their Well-Being
Kevin Hyekang Joo, Shiyuan Duan, Shawna L. Weimer +1
Chicken well-being is important for ensuring food security and better nutrition for a growing global human population. In this research, we represent behavior and posture as a metr…
Comparison and Analysis of Image-to-Image Generative Adversarial Networks: A Survey
Sagar Saxena, Mohammad Nayeem Teli
Generative Adversarial Networks (GANs) have recently introduced effective methods of performing Image-to-Image translations. These models can be applied and generalized to a variet…
TeliNet: Classifying CT scan images for COVID-19 diagnosis
Mohammad Nayeem Teli
COVID-19 has led to hundreds of millions of cases and millions of deaths worldwide since its onset. The fight against this pandemic is on-going on multiple fronts. While vaccinatio…
Resilience of Autonomous Vehicle Object Category Detection to Universal Adversarial Perturbations
Mohammad Nayeem Teli, Seungwon Oh
Due to the vulnerability of deep neural networks to adversarial examples, numerous works on adversarial attacks and defenses have been burgeoning over the past several years. Howev…
Face Detection in Repeated Settings
Mohammad Nayeem Teli, Bruce A. Draper, J. Ross Beveridge
Face detection is an important first step before face verification and recognition. In unconstrained settings it is still an open challenge because of the variation in pose, lighti…