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  3. Dilip K. Prasad
Bilde av Prasad, Dilip K.
Bilde av Prasad, Dilip K.
Professor Informatihka instituhtta dilip.prasad@uit.no +4777645694 Tromsø Gávnnat mu dáppe

Dilip K. Prasad

  • 1
    Ratnabali Pal, Samarjit Kar, Dilip K. Prasad :
    NorViVQA: Visual Question Answering for Visually Impaired in Norwegian Language
    CEUR Workshop Proceedings 01. Jan 2025 DOI / ARKIV
  • 1
    Sanchita Mondal, Debnarayan Khatua, Sourav Mandal, Dilip K. Prasad, Arif Ahmed Sekh :
    BMWP: the first Bengali math word problems dataset for operation prediction and solving
    Discover Artificial Intelligence 2025 DOI / ARKIV
  • 1
    Iqra Qasim, Alexander Horsch, Dilip Kumar Prasad :
    Dense Video Captioning: A Survey of Techniques, Datasets and Evaluation Protocols
    ACM Computing Surveys 2025 DOI / ARKIV
  • 1
    Deepak Kumar Gupta, Gowreesh Mago, Arnav Chavan, Dilip K. Prasad, Rajat Mani Thomas :
    Pushing the Limits of Gradient Descent for Efficient Learning on Large Images
    Transactions on Machine Learning Research (TMLR) 2024 ARKIV / FULLTEKST
  • 1
    Ayush Somani, Ludwig Alexander Horsch, Ajit Bopardikar, Dilip Kumar Prasad :
    Propagating Transparency: A Deep Dive into the Interpretability of Neural Networks
    Nordic Machine Intelligence (NMI) 2024 DOI / ARKIV / FULLTEKST
  • 1
    Ayush Singh, Yash Bhambhu, Himanshu Buckchash, Deepak Kumar Gupta, Dilip Kumar Prasad :
    Latent Graph Attention for Spatial Context in Light-Weight Networks: Multi-Domain Applications in Visual Perception Tasks
    Applied Sciences 2024 DOI / ARKIV
  • 1
    Samir Malakar, Nirwan Banerjee, Dilip Kumar Prasad :
    Compact representation for memory-efficient storage of images using genetic algorithm-guided key pixel selection
    Engineering Applications of Artificial Intelligence 2024 DOI / ARKIV
  • 1
    Deepak Kumar Gupta, Udbhav Bamba, Abhishek Thakur, Akash Gupta, Rohit Agarwal, Suraj Sharan et al.:
    An UltraMNIST classification benchmark to train CNNs for very large images
    Scientific Data 2024 DOI / ARKIV
  • 1
    Rohit Agarwal, Ludwig Alexander Horsch, Krishna Agarwal, Dilip Kumar Prasad :
    Online Learning under Haphazard Input Conditions: A Comprehensive Review and Analysis
    arXiv 2024 DOI / ARKIV
  • 1
    Rohit Agarwal, Ludwig Alexander Horsch, Krishna Agarwal, Dilip Kumar Prasad :
    packetLSTM: Dynamic LSTM Framework for Streaming Data with Varying Feature Space
    arXiv 2024 DOI / ARKIV
  • 1
    Pragyan Banerjee, Shivam Milind Akarte, Prakhar Kumar, Muhammad Shamsuzzaman, Ankit Butola, Krishna Agarwal et al.:
    High-resolution imaging in acoustic microscopy using deep learning
    Machine Learning: Science and Technology 2024 DOI / ARKIV
  • 1
    Gauri Arora, Ankit Butola, Ruchi Rajput, Rohit Agarwal, Krishna Agarwal, Ludwig Alexander Horsch et al.:
    Taxonomy of hybridly polarized Stokes vortex beams
    Optics Express 2024 DOI / ARKIV
  • 1
    Hui Xue, Øyvind Haugseggen, Johan-Fredrik Røds, Bjørn-Morten Erdal Batalden, Dilip Kumar Prasad :
    Assessment of stress levels based on biosignal during the simulator-based maritime navigation training and its impact on sailing route reliability
    Transportation Research Interdisciplinary Perspectives (TRIP) 2024 DOI / ARKIV
  • 1
    Momojit Biswas, Himanshu Buckchash, Dilip Kumar Prasad :
    pNNCLR: Stochastic pseudo neighborhoods for contrastive learning based unsupervised representation learning problems
    Neurocomputing 2024 DOI / ARKIV
  • 1
    Nirwan Banerjee, Samir Malakar, Ludwig Alexander Horsch, Dilip Kumar Prasad :
    GUNet++: guided-U-Net-based compact image representation with an improved reconstruction mechanism
    Optical Society of America. Journal A: Optics, Image Science, and Vision (JOSA A) 2024 DOI / ARKIV
  • 1
    Ronny Paul, Himanshu Buckchash, Shantipriya Parida, Dilip Kumar Prasad :
    Towards a More Inclusive AI: Progress and Perspectives in Large Language Model Training for the Sámi Language
    arXiv 2024 DOI / ARKIV
  • 1
    Himanshu Buckchash, Momojit Biswas, Rohit Agarwal, Dilip Kumar Prasad :
    Hedging Is Not All You Need: A Simple Baseline for Online Learning Under Haphazard Inputs
    arXiv 2024 DOI / ARKIV
  • 1
    Rohit Agarwal, Ludwig Alexander Horsch, Dilip Kumar Prasad :
    Modelling Irregularly Sampled Time Series Without Imputation
    arXiv.org 2023 DOI / ARKIV
  • 1
    Abhinanda Ranjit Punnakkal, Suyog Sakhahari Jadhav, Krishna Agarwal, Ludwig Alexander Horsch, Dilip Kumar Prasad :
    MiShape: 3D Shape Modelling of Mitochondria in Microscopy
    arXiv.org 2023 DOI / ARKIV
  • 1
    Gustav Godtliebsen, Kenneth Bowitz Larsen, Zambarlal Babanrao Bhujabal, Ida Sundvor Opstad, Mireia Nager Grifo, Abhinanda Ranjit Punnakkal et al.:
    High-resolution visualization and assessment of basal and OXPHOS-induced mitophagy in H9c2 cardiomyoblasts
    Autophagy 2023 DOI / ARKIV
  • 1
    Rohit Agarwal, Ankit Butola, Ludwig Alexander Horsch, Dilip Kumar Prasad, Krishna Agarwal :
    Taxonomy of hybridly polarized Stokes vortex beams
    arXiv.org 2023 DOI / ARKIV
  • 1
    Abhinanda Ranjit Punnakkal, Gustav Godtliebsen, Ayush Somani, Sebastian Andres Acuna Maldonado, Åsa birna Birgisdottir, Dilip K. Prasad et al.:
    Analyzing Mitochondrial Morphology Through Simulation Supervised Learning
    Journal of Visualized Experiments 2023 DOI / ARKIV
  • 1
    Nirwan Banerjee, Samir Malakar, Deepak Kumar Gupta, Ludwig Alexander Horsch, Dilip Kumar Prasad :
    Guided U-Net Aided Efficient Image Data Storing with Shape Preservation
    2023 DOI / ARKIV
  • 1
    Rohit Agarwal, Gyanendra Das, Saksham Aggarwal, Ludwig Alexander Horsch, Dilip Kumar Prasad :
    Mabnet: Master Assistant Buddy Network With Hybrid Learning for Image Retrieval
    Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing 2023 DOI / ARKIV
  • 1
    Momojit Biswas, Himanshu Buckchash, Dilip Kumar Prasad :
    pNNCLR: Stochastic Pseudo Neighborhoods for Contrastive Learning based Unsupervised Representation Learning Problems
    arXiv.org 2023 DOI / ARKIV
  • 1
    Ayush Singh, Yash Bhambhu, Himanshu Buckchash, Deepak Gupta, Dilip Kumar Prasad :
    Latent Graph Attention for Enhanced Spatial Context
    arXiv.org 2023 DOI / ARKIV
  • 1
    Pragyan Banerjee, Sibasish Mishra, Nitin Yadav, Krishna Agarwal, Frank Melandsø, Dilip Kumar Prasad et al.:
    Image inpainting in acoustic microscopy
    AIP Advances 2023 DOI / ARKIV
  • 1
    Rohit Agarwal, Dilip Kumar Prasad, Ludwig Alexander Horsch, Deepak Kumar Gupta :
    Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts
    Transactions on Machine Learning Research (TMLR) 2023 ARKIV
  • 1
    Sunil Bhatt, Ankit Butola, Anand Kumar, Pramila Thapa, Akshay Joshi, Suyog S. Jadhav et al.:
    Single-shot multispectral quantitative phase imaging of biological samples using deep learning
    Applied Optics 2023 DOI / ARKIV
  • 1
    Ayush Somani, Pragyan Banerjee, Manu Rastogi, Anowarul Habib, Krishna Agarwal, Dilip Kumar Prasad :
    Image Inpainting With Hypergraphs for Resolution Improvement in Scanning Acoustic Microscopy
    IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2023 DOI / ARKIV / ARKIV / FULLTEKST
  • 1
    Ayush Somani, Arif Ahmed Sekh, Ida Sundvor Opstad, Åsa birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia et al.:
    Virtual labeling of mitochondria in living cells using correlative imaging and physics-guided deep learning
    Biomedical Optics Express 2022 DOI / ARKIV
  • 1
    S Chattopadhyay, Antoni Malachowski, Jaya Kumari Swain, Roy Ambli Dalmo, Alexander Horsch, Dilip K. Prasad :
    Mapping Functional Changes in the Embryonic Heart of Atlantic Salmon Post Viral Infection Using AI Technique
    Proceedings of IEEE International Conference on Image Processing 2022 DOI / ARKIV
  • 1
    Xinqiang Chen, Xingyu Wu, Dilip K. Prasad, Bing Wu, Octavian Postolache, Yongsheng Yang :
    Pixel-Wise Ship Identification From Maritime Images via a Semantic Segmentation Model
    IEEE Sensors Journal 2022 DOI / ARKIV
  • 1
    Divij Singh, Ayush Somani, Alexander Horsch, Dilip K. Prasad :
    Counterfactual Explainable Gastrointestinal and Colonoscopy Image Segmentation
    IEEE International Symposium on Biomedical Imaging 2022 DOI / ARKIV
  • 1
    Huixu Dong, Jiadong Zhou, Chen Qiu, Dilip K. Prasad, I-Ming Chen :
    Robotic Manipulations of Cylinders and Ellipsoids by Ellipse Detection With Domain Randomization
    IEEE/ASME transactions on mechatronics 2022 DOI / ARKIV
  • 1
    Sumit Rai, Arti Kumari, Dilip K. Prasad :
    Client Selection in Federated Learning under Imperfections in Environment
    AI 2022 DOI / ARKIV
  • 1
    Chen Xie, Deepu Rajan, Dilip K. Prasad, Chai Quek :
    An embedded deep fuzzy association model for learning and explanation
    Applied Soft Computing 2022 DOI / ARKIV
  • 1
    Zicheng Liu, Mayank Roy, Dilip K. Prasad, Krishna Agarwal :
    Physics-Guided Loss Functions Improve Deep Learning Performance in Inverse Scattering
    IEEE Transactions on Computational Imaging 2022 DOI / ARKIV
  • 1
    Deepa Joshi, Ankit Butola, Sheetal Raosaheb Kanade, Dilip K. Prasad, Mithra Amitha Mithra, N.K. Singh et al.:
    Label-free non-invasive classification of rice seeds using optical coherence tomography assisted with deep neural network
    Optics and Laser Technology 2021 DOI / ARKIV
  • 1
    Jeow Li Huan, Arif Ahmed Sekh, Chai Quek, Dilip K. Prasad :
    Emotionally charged text classification with deep learning and sentiment semantic
    Neural Computing & Applications 2021 DOI / ARKIV
  • 1
    S.W Jun, Arif Ahmed Sekh, Chai Quek, Dilip K. Prasad :
    seMLP: Self-evolving Multi-layer Perceptron in Stock Trading Decision Making
    SN Computer Science 2021 DOI / ARKIV
  • 1
    Soham Chattopadhyay, Laila Zary, Chai Quek, Dilip K. Prasad :
    Motivation detection using EEG signal analysis by residual-in-residual convolutional neural network
    Expert Systems With Applications 2021 DOI / ARKIV
  • 1
    Ratnabali Pal, Arif Ahmed Sekh, Debi Prosad Dogra, Samarjit Kar, Partha Pratim Roy, Dilip K. Prasad :
    Topic-based Video Analysis: A Survey
    ACM Computing Surveys 2021 DOI / ARKIV / FULLTEKST
  • 1
    Hui Xue, Bjørn-Morten Batalden, Puneet Sharma, Jarle André Johansen, Dilip K. Prasad :
    Biosignal-Based Driving Skill Classification Using Machine Learning: A Case Study of Maritime Navigation
    Applied Sciences 2021 DOI / ARKIV
  • Arif Ahmed Sekh, Dilip K. Prasad :
    Gender and Diversity Policy in AI: Strategies, Metrics, and Case Studies
    World Scientific 01. Jan 2025 DOI / ARKIV
  • Ayush Somani, Alexander Horsch, Dilip K. Prasad :
    Interpretability in Deep Learning
    Springer 2023 ARKIV / FULLTEKST
  • Rohit Agarwal, Dilip K. Prasad :
    Scalable Online Deep Learning for Streaming Data with Variable Feature Spaces: Architectures, Imparting Scalability and Data Transformation
    UiT Norges arktiske universitet 12. Nov 2025 ARKIV
  • Huixu Dong, Jiadong Zhou, Chen Qiu, Dilip K. Prasad, I-Ming Chen :
    Learning-Based Ellipse Detection for Robotic Grasps of Cylinders and Ellipsoids
    2022 ARKIV
  • Rohit Agarwal, Krishna Agarwal, Alexander Horsch, Dilip K. Prasad :
    Auxiliary Network: Scalable and agile online learning for dynamic system with inconsistently available inputs
    2022 DOI / ARKIV
  • Xinqiang Chen, Xingyu Wu, Dilip K. Prasad, Bing Wu, Octavian Postolache, Yongsheng Yang :
    Corrections: Pixel-wise ship identification from maritime images via a semantic segmentation model (IEEE Sensors Journal (2022) 22:18 (18180-18191) DOI: 10.1109/JSEN.2022.3195959)
    IEEE Sensors Journal 2022 DOI / ARKIV

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