Rohit Agarwal

According to our database, Rohit Agarwal authored at least 25 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

packetLSTM: Dynamic LSTM Framework for Streaming Data with Varying Feature Space.

Rohit Agarwal, Karaka Prasanth Naidu, Alexander Horsch, Krishna Agarwal, Dilip K. Prasad

CoRR, 2024

Hedging Is Not All You Need: A Simple Baseline for Online Learning Under Haphazard Inputs.

Himanshu Buckchash, Momojit Biswas, Rohit Agarwal, Dilip K. Prasad

CoRR, 2024

Automatic Detection of COVID-19 from Chest X-ray Images Using Deep Learning Model.

Alloy Das, Rohit Agarwal, Rituparna Singh, Arindam Chowdhury, Debashis Nandi

CoRR, 2024

Online Learning under Haphazard Input Conditions: A Comprehensive Review and Analysis.

Rohit Agarwal, Arijit Das, Alexander Horsch, Krishna Agarwal, Dilip K. Prasad

CoRR, 2024

Multi-scale dual-channel feature embedding decoder for biomedical image segmentation.

Rohit Agarwal, Palash Ghosal, Anup K. Sadhu, Narayan Murmu, Debashis Nandi

Comput. Methods Programs Biomed., 2024

2023

A novel contrast and saturation prior for image dehazing.

Subhash Chand Agrawal, Rohit Agarwal

Vis. Comput., November, 2023

Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts.

Rohit Agarwal, Deepak K. Gupta, Alexander Horsch, Dilip K. Prasad

Trans. Mach. Learn. Res., 2023

SegPC-2021: A challenge & dataset on segmentation of Multiple Myeloma plasma cells from microscopic images.

Anubha Gupta, Shiv Gehlot, Shubham Goswami, Sachin Motwani, Ritu Gupta, Álvaro García-Faura, Dejan Stepec, Tomaz Martincic, Reza Azad, Dorit Merhof, Afshin Bozorgpour, Babak Azad, Alaa Sulaiman, Deepanshu Pandey, Pradyumna Gupta, Sumit Bhattacharya, Aman Sinha, Rohit Agarwal, Xinyun Qiu, Yucheng Zhang, Ming Fan, Yoonbeom Park, Dae-Hong Lee, Joon Sik Park, KwangYeol Lee, Jaehyung Ye

Medical Image Anal., 2023

Modelling Irregularly Sampled Time Series Without Imputation.

Rohit Agarwal, Aman Sinha, Dilip K. Prasad, Marianne Clausel, Alexander Horsch, Mathieu Constant, Xavier Coubez

CoRR, 2023

Diagnosis and Detection of Alzheimer's Disease Using Learning Algorithm.

Gargi Pant Shukla, Santosh Kumar, Saroj Kumar Pandey, Rohit Agarwal, Neeraj Varshney, Ankit Kumar

Big Data Min. Anal., 2023

Mabnet: Master Assistant Buddy Network With Hybrid Learning for Image Retrieval.

Rohit Agarwal, Gyanendra Das, Saksham Aggarwal, Alexander Horsch, Dilip K. Prasad

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

A robust framework for glaucoma detection using CLAHE and EfficientNet.

Neeraj Gupta, Hitendra Garg, Rohit Agarwal

Vis. Comput., 2022

Spoofing detection system for e-health digital twin using EfficientNet Convolution Neural Network.

Hitendra Garg, Bhisham Sharma, Shashi Shekhar, Rohit Agarwal

Multim. Tools Appl., 2022

Auxiliary Network: Scalable and Agile Online Learning for Dynamic System with Inconsistently Available Inputs.

Rohit Agarwal, Krishna Agarwal, Alexander Horsch, Dilip K. Prasad

Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021

Local binary hexagonal extrema pattern (LBH_XEP): a new feature descriptor for fake iris detection.

Rohit Agarwal, Anand Singh Jalal, K. V. Arya

Vis. Comput., 2021

Presentation attack detection system for fake Iris: a review.

Rohit Agarwal, Anand Singh Jalal

Multim. Tools Appl., 2021

Transformer Assisted Convolutional Network for Cell Instance Segmentation.

Deepanshu Pandey, Pradyumna Gupta, Sumit Bhattacharya, Aman Sinha, Rohit Agarwal

CoRR, 2021

2020

Enhanced Binary Hexagonal Extrema Pattern (EBH_XEP) Descriptor for Iris Liveness Detection.

Rohit Agarwal, Anand Singh Jalal, K. V. Arya

Wirel. Pers. Commun., 2020

A multimodal liveness detection using statistical texture features and spatial analysis.

Rohit Agarwal, Anand Singh Jalal, K. V. Arya

Multim. Tools Appl., 2020

Detection of COVID-19 informative tweets using RoBERTa.

Sirigireddy Dhanalaxmi, Rohit Agarwal, Aman Sinha

CoRR, 2020

Simulation-supervised deep learning for analysing organelles states and behaviour in living cells.

Arif Ahmed Sekh, Ida Sundvor Opstad, Rohit Agarwal, Åsa Birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia, Krishna Agarwal, Dilip K. Prasad

CoRR, 2020

Auxiliary Network: Scalable and agile online learning for dynamic system with inconsistently available inputs.

Rohit Agarwal, Arif Ahmed Sekh, Krishna Agarwal, Dilip K. Prasad

CoRR, 2020

DSC-IIT ISM at WNUT-2020 Task 2: Detection of COVID-19 informative tweets using RoBERTa.

Sirigireddy Dhanalaxmi, Rohit Agarwal, Aman Sinha

Proceedings of the Sixth Workshop on Noisy User-generated Text, 2020

C-Net: Contextual Network for Sarcasm Detection.

Amit Kumar Jena, Aman Sinha, Rohit Agarwal

Proceedings of the Second Workshop on Figurative Language Processing, 2020

2012

Peer-to-Peer Data Sharing for Scientific Workflows on Amazon EC2.

Rohit Agarwal, Gideon Juve, Ewa Deelman

Proceedings of the 2012 SC Companion: High Performance Computing, 2012