Nishant Kumar | DeepAI

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∙ 08/11/2023

Uncertainty Quantification for Image-based Traffic Prediction across Cities

Despite the strong predictive performance of deep learning models for tr...

0 Alexander Timans, et al. ∙

∙ 07/04/2023

Learning to reconstruct the bubble distribution with conductivity maps using Invertible Neural Networks and Error Diffusion

Electrolysis is crucial for eco-friendly hydrogen production, but gas bu...

0 Nishant Kumar, et al. ∙

∙ 04/17/2023

Computational Performance Aware Benchmarking of Unsupervised Concept Drift Detection

For many AI systems, concept drift detection is crucial to ensure the sy...

0 Elias Werner, et al. ∙

∙ 01/05/2023

A Direct and New Construction of Near-Optimal Multiple ZCZ Sequence Sets

In this paper, for the first time, we present a direct and new construct...

0 Nishant Kumar, et al. ∙

∙ 09/09/2022

A New Framework for Quantum Oblivious Transfer

We present a new template for building oblivious transfer from quantum i...

0 Amit Agarwal, et al. ∙

∙ 07/27/2022

A Direct Construction of Complete Complementary Code with Zero Correlation Zone property for Prime-Power Length

In this paper, we propose a direct construction of a novel type of code ...

0 Nishant Kumar, et al. ∙

∙ 07/07/2022

Enhancing Fairness of Visual Attribute Predictors

The performance of deep neural networks for image recognition tasks such...

0 Tobias Hänel, et al. ∙

∙ 06/16/2022

TransDrift: Modeling Word-Embedding Drift using Transformer

In modern NLP applications, word embeddings are a crucial backbone that ...

0 Nishtha Madaan, et al. ∙

∙ 11/12/2021

A Direct Construction of Prime-Power-Length Zero-Correlation Zone Sequences for QS-CDMA System

In the recent years, zero-correlation zone (ZCZ) sequences have been stu...

0 Nishant Kumar, et al. ∙

∙ 06/10/2021

InFlow: Robust outlier detection utilizing Normalizing Flows

Normalizing flows are prominent deep generative models that provide trac...

0 Nishant Kumar, et al. ∙

∙ 02/19/2021

Applications of deep learning in traffic congestion alleviation: A survey

Prediction tasks related to congestion are targeted at improving the lev...

0 Nishant Kumar, et al. ∙

∙ 10/13/2020

CrypTFlow2: Practical 2-Party Secure Inference

We present CrypTFlow2, a cryptographic framework for secure inference ov...

0 Deevashwer Rathee, et al. ∙

∙ 01/26/2020

Visualisation of Medical Image Fusion and Translation for Accurate Diagnosis of High Grade Gliomas

The medical image fusion combines two or more modalities into a single v...

0 Nishant Kumar, et al. ∙

∙ 09/16/2019

CrypTFlow: Secure TensorFlow Inference

We present CrypTFlow, a first of its kind system that converts TensorFlo...

0 Nishant Kumar, et al. ∙

∙ 08/11/2019

Structural Similarity based Anatomical and Functional Brain Imaging Fusion

Multimodal medical image fusion helps in combining contrasting features ...

1 Nishant Kumar, et al. ∙

∙ 04/23/2019

HAUAR: Home Automation Using Action Recognition

Today, many of the home automation systems deployed are mostly controlle...

0 Shashank Kotyan, et al. ∙

∙ 04/23/2019

Drishtikon: An advanced navigational aid system for visually impaired people

Today, many of the aid systems deployed for visually impaired people are...

0 Shashank Kotyan, et al. ∙

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