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ORCIDRohit Agarwal
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2020 – today
- 2024
[j11]Rohit Agarwal, Palash Ghosal
, Anup K. Sadhu, Narayan Murmu, Debashis Nandi:
Multi-scale dual-channel feature embedding decoder for biomedical image segmentation. Comput. Methods Programs Biomed. 257: 108464 (2024)- [i10]Rohit Agarwal, Arijit Das, Alexander Horsch, Krishna Agarwal, Dilip K. Prasad:
Online Learning under Haphazard Input Conditions: A Comprehensive Review and Analysis. CoRR abs/2404.04903 (2024) - [i9]Alloy Das, Rohit Agarwal, Rituparna Singh, Arindam Chowdhury, Debashis Nandi:
Automatic Detection of COVID-19 from Chest X-ray Images Using Deep Learning Model. CoRR abs/2408.14927 (2024) - [i8]Himanshu Buckchash, Momojit Biswas, Rohit Agarwal, Dilip K. Prasad:
Hedging Is Not All You Need: A Simple Baseline for Online Learning Under Haphazard Inputs. CoRR abs/2409.10242 (2024) - 2023
- [j10]Gargi Pant Shukla, Santosh Kumar, Saroj Kumar Pandey, Rohit Agarwal, Neeraj Varshney, Ankit Kumar:
Diagnosis and Detection of Alzheimer's Disease Using Learning Algorithm. Big Data Min. Anal. 6(4): 504-512 (2023) - [j9]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:
SegPC-2021: A challenge & dataset on segmentation of Multiple Myeloma plasma cells from microscopic images. Medical Image Anal. 83: 102677 (2023) - [j8]Rohit Agarwal, Deepak K. Gupta, Alexander Horsch, Dilip K. Prasad:
Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts. Trans. Mach. Learn. Res. 2023 (2023) - [j7]Subhash Chand Agrawal, Rohit Agarwal:
A novel contrast and saturation prior for image dehazing. Vis. Comput. 39(11): 5763-5781 (2023) - [c5]Rohit Agarwal, Gyanendra Das, Saksham Aggarwal, Alexander Horsch, Dilip K. Prasad:
Mabnet: Master Assistant Buddy Network With Hybrid Learning for Image Retrieval. ICASSP 2023: 1-5 - [i7]Rohit Agarwal, Gyanendra Das, Saksham Aggarwal, Alexander Horsch, Dilip K. Prasad:
MABNet: Master Assistant Buddy Network with Hybrid Learning for Image Retrieval. CoRR abs/2303.03050 (2023) - [i6]Rohit Agarwal, Deepak K. Gupta, Alexander Horsch, Dilip K. Prasad:
Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts. CoRR abs/2303.05155 (2023) - [i5]Rohit Agarwal, Aman Sinha, Dilip K. Prasad, Marianne Clausel, Alexander Horsch, Mathieu Constant, Xavier Coubez:
Modelling Irregularly Sampled Time Series Without Imputation. CoRR abs/2309.08698 (2023) - 2022
- [j6]Hitendra Garg, Bhisham Sharma, Shashi Shekhar, Rohit Agarwal:
Spoofing detection system for e-health digital twin using EfficientNet Convolution Neural Network. Multim. Tools Appl. 81(19): 26873-26888 (2022) - [j5]Neeraj Gupta, Hitendra Garg, Rohit Agarwal:
A robust framework for glaucoma detection using CLAHE and EfficientNet. Vis. Comput. 38(7): 2315-2328 (2022) - [c4]Rohit Agarwal, Krishna Agarwal, Alexander Horsch, Dilip K. Prasad:
Auxiliary Network: Scalable and Agile Online Learning for Dynamic System with Inconsistently Available Inputs. ICONIP (1) 2022: 549-561 - 2021
- [j4]Rohit Agarwal, Anand Singh Jalal:
Presentation attack detection system for fake Iris: a review. Multim. Tools Appl. 80(10): 15193-15214 (2021) - [j3]Rohit Agarwal, Anand Singh Jalal, K. V. Arya:
Local binary hexagonal extrema pattern (LBHXEP): a new feature descriptor for fake iris detection. Vis. Comput. 37(6): 1357-1368 (2021) - [i4]Deepanshu Pandey, Pradyumna Gupta, Sumit Bhattacharya, Aman Sinha, Rohit Agarwal:
Transformer Assisted Convolutional Network for Cell Instance Segmentation. CoRR abs/2110.02270 (2021) - 2020
- [j2]Rohit Agarwal, Anand Singh Jalal, K. V. Arya:
A multimodal liveness detection using statistical texture features and spatial analysis. Multim. Tools Appl. 79(19-20): 13621-13645 (2020) - [j1]Rohit Agarwal, Anand Singh Jalal, K. V. Arya:
Enhanced Binary Hexagonal Extrema Pattern (EBHXEP) Descriptor for Iris Liveness Detection. Wirel. Pers. Commun. 115(3): 2627-2643 (2020) - [c3]Amit Kumar Jena, Aman Sinha, Rohit Agarwal:
C-Net: Contextual Network for Sarcasm Detection. Fig-Lang@ACL 2020: 61-66 - [c2]Sirigireddy Dhanalaxmi, Rohit Agarwal, Aman Sinha:
DSC-IIT ISM at WNUT-2020 Task 2: Detection of COVID-19 informative tweets using RoBERTa. W-NUT@EMNLP 2020: 409-413 - [i3]Rohit Agarwal, Arif Ahmed Sekh, Krishna Agarwal, Dilip K. Prasad:
Auxiliary Network: Scalable and agile online learning for dynamic system with inconsistently available inputs. CoRR abs/2008.11828 (2020) - [i2]Arif Ahmed Sekh, Ida Sundvor Opstad, Rohit Agarwal, Åsa Birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia, Krishna Agarwal, Dilip K. Prasad:
Simulation-supervised deep learning for analysing organelles states and behaviour in living cells. CoRR abs/2008.12617 (2020) - [i1]Sirigireddy Dhanalaxmi, Rohit Agarwal, Aman Sinha:
Detection of COVID-19 informative tweets using RoBERTa. CoRR abs/2010.11238 (2020)
2010 – 2019
- 2012
- [c1]Rohit Agarwal, Gideon Juve, Ewa Deelman:
Peer-to-Peer Data Sharing for Scientific Workflows on Amazon EC2. SC Companion 2012: 82-89
Coauthor Index
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last updated on 2024-11-07 21:36 CET by the dblp team
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