Search Results for author: Anuj Sharma

Found 33 papers, 7 papers with code

Lift-Attend-Splat: Bird's-eye-view camera-lidar fusion using transformers

no code implementations22 Dec 2023 James Gunn, Zygmunt Lenyk, Anuj Sharma, Andrea Donati, Alexandru Buburuzan, John Redford, Romain Mueller

Combining complementary sensor modalities is crucial to providing robust perception for safety-critical robotics applications such as autonomous driving (AD).

3D Object Detection Autonomous Driving +3

Investigating Speed Deviation Patterns During Glucose Episodes: A Quantile Regression Approach

no code implementations3 Oct 2023 Aparna Joshi, Jennifer Merickel, Cyrus V. Desouza, Matthew Rizzo, Pujitha Gunaratne, Anuj Sharma

Given the growing prevalence of diabetes, there has been significant interest in determining how diabetes affects instrumental daily functions, like driving.

regression

Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos

1 code implementation16 Jun 2023 Md Zahid Hasan, Jiajing Chen, Jiyang Wang, Mohammed Shaiqur Rahman, Ameya Joshi, Senem Velipasalar, Chinmay Hegde, Anuj Sharma, Soumik Sarkar

Our results show that this framework offers state-of-the-art performance on zero-shot transfer and video-based CLIP for predicting the driver's state on two public datasets.

Activity Recognition

The 7th AI City Challenge

no code implementations15 Apr 2023 Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Sanjita Prajapati, Alice Li, Shangru Li, Krishna Kunadharaju, Shenxin Jiang, Rama Chellappa

The AI City Challenge's seventh edition emphasizes two domains at the intersection of computer vision and artificial intelligence - retail business and Intelligent Traffic Systems (ITS) - that have considerable untapped potential.

Retrieval

Driver Maneuver Detection and Analysis using Time Series Segmentation and Classification

no code implementations10 Nov 2022 Armstrong Aboah, Yaw Adu-Gyamfi, Senem Velipasalar Gursoy, Jennifer Merickel, Matt Rizzo, Anuj Sharma

Previous approaches have treated vehicle maneuver detection as a classification problem, although both time series segmentation and classification are required since input telemetry data is continuous.

Segmentation Time Series +1

Lexicon and Attention based Handwritten Text Recognition System

no code implementations11 Sep 2022 Lalita Kumari, Sukhdeep Singh, VVS Rathore, Anuj Sharma

The handwritten text recognition problem is widely studied by the researchers of computer vision community due to its scope of improvement and applicability to daily lives, It is a sub-domain of pattern recognition.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Offline Handwritten Mathematical Recognition using Adversarial Learning and Transformers

no code implementations20 Aug 2022 Ujjwal Thakur, Anuj Sharma

Offline Handwritten Mathematical Expression Recognition (HMER) is a major area in the field of mathematical expression recognition.

A Lexicon and Depth-wise Separable Convolution Based Handwritten Text Recognition System

no code implementations11 Jul 2022 Lalita Kumari, Sukhdeep Singh, VVS Rathore, Anuj Sharma

In recent studies, combination of convolutional neural network and gated convolutional neural networks based models demonstrated less number of parameters in comparison to convolutional recurrent neural networks based models.

Handwritten Text Recognition

A Comprehensive Handwritten Paragraph Text Recognition System: LexiconNet

no code implementations23 May 2022 Lalita Kumari, Sukhdeep Singh, Vaibhav Varish Singh Rathore, Anuj Sharma

In this study, an end-to-end paragraph recognition system is presented with a lexicon decoder as a post-processing step.

Handwritten Text Recognition

Synthetic Distracted Driving (SynDD2) dataset for analyzing distracted behaviors and various gaze zones of a driver

1 code implementation17 Apr 2022 Mohammed Shaiqur Rahman, Jiyang Wang, Senem Velipasalar Gursoy, David Anastasiu, Shuo Wang, Anuj Sharma

This article presents a synthetic distracted driving (SynDD2 - a continuum of SynDD1) dataset for machine learning models to detect and analyze drivers' various distracted behavior and different gaze zones.

BIG-bench Machine Learning

Newton methods based convolution neural networks using parallel processing

no code implementations2 Dec 2021 Ujjwal Thakur, Anuj Sharma

In this paper, we have used the complete data instead of the sub-sampled methods that only handle partial data at a time.

Second-order methods

HCR-Net: A deep learning based script independent handwritten character recognition network

1 code implementation15 Aug 2021 Vinod Kumar Chauhan, Sukhdeep Singh, Anuj Sharma

To address these limitations, we have proposed a script independent deep learning network for HCR research, called HCR-Net, that sets a new research direction for the field.

Image Augmentation Transfer Learning

A data-driven personalized smart lighting recommender system

no code implementations5 Apr 2021 Atousa Zarindast, Jonathan Wood, Anuj Sharma

Recommender systems attempts to identify and recommend the most preferable item (product-service) to an individual user.

Recommendation Systems

Deep convolutional generative adversarial networks for traffic data imputation encoding time series as images

no code implementations5 May 2020 Tongge Huang, Pranamesh Chakraborty, Anuj Sharma

This study shows that the proposed model can significantly improve the traffic data imputation accuracy in terms of Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE) compared to state-of-the-art models on the benchmark dataset.

Decision Making Generative Adversarial Network +6

Deep Reinforcement Learning for Adaptive Traffic Signal Control

no code implementations14 Nov 2019 Kai Liang Tan, Subhadipto Poddar, Anuj Sharma, Soumik Sarkar

In this paper, we propose a DRL-based adaptive traffic signal control framework that explicitly considers realistic traffic scenarios, sensors, and physical constraints.

reinforcement-learning Reinforcement Learning (RL)

Driver Behavior Analysis Using Lane Departure Detection Under Challenging Conditions

no code implementations31 May 2019 Luis Riera, Koray Ozcan, Jennifer Merickel, Mathew Rizzo, Soumik Sarkar, Anuj Sharma

Among the several deep learning architectures, convolutional neural networks (CNNs) outperformed other machine learning models, especially for region proposal and object detection tasks.

Lane Detection Object +3

LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms

1 code implementation20 Apr 2019 Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya

LIBS2ML is a library based on scalable second order learning algorithms for solving large-scale problems, i. e., big data problems in machine learning.

BIG-bench Machine Learning Second-order methods

A deep learning based solution for construction equipment detection: from development to deployment

no code implementations18 Apr 2019 Saeed Arabi, Arya Haghighat, Anuj Sharma

This paper aims at providing researchers and engineering professionals with a practical and comprehensive deep learning based solution to detect construction equipment from the very first step of its development to the last one which is deployment.

Model Optimization Model Selection +2

Modified online Newton step based on element wise multiplication

no code implementations11 Apr 2019 Charanjeet, Anuj Sharma

The large data is a challenge in Newton method to store second order matrices as hessian.

Stochastic Trust Region Inexact Newton Method for Large-scale Machine Learning

1 code implementation26 Dec 2018 Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya

Nowadays stochastic approximation methods are one of the major research direction to deal with the large-scale machine learning problems.

BIG-bench Machine Learning Second-order methods

Point process latent variable models of larval zebrafish behavior

no code implementations NeurIPS 2018 Anuj Sharma, Robert Johnson, Florian Engert, Scott Linderman

However, these sequences of swim bouts belie a set of discrete and continuous internal states, latent variables that are not captured by standard point process models.

Variational Inference

Online learning using multiple times weight updating

no code implementations26 Oct 2018 Charanjeet, Anuj Sharma

The results indicates that mistake rate reduces to zero or close to zero for various datasets and algorithms.

SAAGs: Biased Stochastic Variance Reduction Methods for Large-scale Learning

no code implementations24 Jul 2018 Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya

Stochastic approximation is one of the effective approach to deal with the large-scale machine learning problems and the recent research has focused on reduction of variance, caused by the noisy approximations of the gradients.

Faster Learning by Reduction of Data Access Time

no code implementations18 Jan 2018 Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya

In this paper, we have proposed one possible solution to handle the big data problems in machine learning.

BIG-bench Machine Learning

A Neural Network based Approach for Predicting Customer Churn in Cellular Network Services

no code implementations16 Sep 2013 Anuj Sharma, Dr. Prabin Kumar Panigrahi

As churn management is an important activity for companies to retain loyal customers, the ability to correctly predict customer churn is necessary.

Management Marketing

Using Self-Organizing Maps for Sentiment Analysis

no code implementations16 Sep 2013 Anuj Sharma, Shubhamoy Dey

This paper investigates the efficacy of different implementations of Self-Organizing Maps (SOM) for sentiment based visualization and classification of online reviews.

Classification General Classification +3

Performance Investigation of Feature Selection Methods

no code implementations16 Sep 2013 Anuj sharma, Shubhamoy Dey

Feature selection is significant for sentiment analysis as the opinionated text may have high dimensions, which can adversely affect the performance of sentiment analysis classifier.

feature selection General Classification +4

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