A hybrid approach for ellipse detection in real images. - Dilip K. Prasad; Maylor K. H. Leung (ICDIP, 2010)

Reliability / precision uncertainity in shape fitting problems. - Dilip K. Prasad; Maylor K. H. Leung (ICIP, 2010)

Adaptive traffic signal control system with cloud computing based online learning. - Dilip K. Prasad (ICICS, 2011)

A parameter independent line fitting method. - Dilip K. Prasad; Hiok Chai Quek; Maylor Karhang Leung; Siu-Yeung Cho (ACPR, 2011)

An Error Bounded Tangent Estimator for Digitized Elliptic Curves. - Dilip K. Prasad; Raj Kumar Gupta; Maylor K. H. Leung (DGCI, 2011)

A Precise Ellipse Fitting Method for Noisy Data. - Dilip K. Prasad; Chai Quek; Maylor K. H. Leung (ICIAR (1), 2012)

A Non-heuristic Dominant Point Detection Based on Suppression of Break Points. - Dilip K. Prasad; Chai Quek; Maylor K. H. Leung (ICIAR (1), 2012)

A novel framework for making dominant point detection methods non-parametric. - Dilip K. Prasad; Maylor K. H. Leung; Chai Quek; Siu-Yeung Cho (Image Vis. Comput., 2012)

Edge curvature and convexity based ellipse detection method. - Dilip K. Prasad; Maylor K. H. Leung; Siu-Yeung Cho (Pattern Recognit., 2012)

Geometric primitive feature extraction : concepts, algorithms and applications - Dilip K. Prasad (2012)

Comparison of error bounds for non-parametric dominant point detection. - Dilip K. Prasad; Chai Quek (ICICS, 2013)

Quick Approximation of Camera's Spectral Response from Casual Lighting. - Dilip K. Prasad; Rang Ho Man Nguyen; Michael S. Brown (ICCV Workshops, 2013)

Object Detection in Real Images - Dilip K. Prasad (CoRR, 2013)

Geometric primitive feature extraction - concepts, algorithms, and applications - Dilip K. Prasad (CoRR, 2013)

ElliFit: An unconstrained, non-iterative, least squares based geometric Ellipse Fitting method. - Dilip K. Prasad; Maylor K. H. Leung; Chai Quek (Pattern Recognit., 2013)

Raw-to-Raw: Mapping between Image Sensor Color Responses. - Nguyen Ho Man Rang; Dilip K. Prasad; Michael S. Brown (CVPR, 2014)

Training-Based Spectral Reconstruction from a Single RGB Image. - Nguyen Ho Man Rang; Dilip K. Prasad; Michael S. Brown (ECCV (7), 2014)

DEB: Definite Error Bounded Tangent Estimator for Digital Curves. - Dilip K. Prasad; Maylor K. H. Leung; Chai Quek; Michael S. Brown (IEEE Trans. Image Process., 2014)

Prediction of porosity and thermal diffusivity in a porous fin using differential evolution algorithm. - Ranjan Das; Dilip K. Prasad (Swarm Evol. Comput., 2015)

Strategies for Resolving Camera Metamers Using 3+1 Channel. - Dilip K. Prasad (CVPR Workshops, 2016)

Recent Advances in Statistical Data and Signal Analysis: Application to Real World Diagnostics from Medical and Biological Signals. - Dwarikanath Mahapatra; Krishna Agarwal; Reza Khosrowabadi; Dilip K. Prasad (Comput. Math. Methods Medicine, 2016)

Challenges in video based object detection in maritime scenario using computer vision. - Dilip K. Prasad; Chandrashekar Krishna Prasath; Deepu Rajan; Lily Rachmawati; Eshan Rajabally; Chai Quek (CoRR, 2016)

Classification of Hyperspectral or Trichromatic Measurements of Ocean Color Data into Spectral Classes. - Dilip K. Prasad; Krishna Agarwal (Sensors, 2016)

Robust Ellipse Detection via Duality Principle with a False Determination Control. - Huixu Dong; I-Ming Chen; Dilip K. Prasad (CVIP (2), 2017)

Robust ellipse detection via arc segmentation and classification. - Huixu Dong; I-Ming Chen; Dilip K. Prasad (ICIP, 2017)

Maritime situational awareness using adaptive multi-sensor management under hazy conditions. - Dilip K. Prasad; Chandrashekar Krishna Prasath; Deepu Rajan; Lily Rachmawati; Eshan Rajabally; Chai Quek (CoRR, 2017)

MSCM-LiFe: Multi-scale cross modal linear feature for horizon detection in maritime images. - Dilip K. Prasad; Deepu Rajan; Chandrashekar Krishna Prasath; Lily Rachmawati; Eshan Rajabally; Chai Quek (CoRR, 2017)

Video Processing From Electro-Optical Sensors for Object Detection and Tracking in a Maritime Environment: A Survey. - Dilip K. Prasad; Deepu Rajan; Lily Rachmawati; Eshan Rajabally; Chai Quek (IEEE Trans. Intell. Transp. Syst., 2017)

Efficient Pose Estimation from Single RGB-D Image via Hough Forest with Auto-Context. - Huixu Dong; Dilip K. Prasad; Qilong Yuan; Jiadong Zhou; Ehsan Asadi; I-Ming Chen (IROS, 2018)

Are object detection assessment criteria ready for maritime computer vision? - Dilip K. Prasad; Deepu Rajan; Chai Quek (CoRR, 2018)

Enabling Grasp Action: Generalized Evaluation of Grasp Stability via Contact Stiffness from Contact Mechanics Insight. - Huixu Dong; Chen Qiu; Dilip K. Prasad; Ye Pan; Jiansheng Dai 001; I-Ming Chen (CoRR, 2018)

Polygonal approximation of digital planar curve using novel significant measure. - Mangayarkarasi Ramaiah; Dilip K. Prasad (CoRR, 2018)

PIE-RSPOP: A brain-inspired pseudo-incremental ensemble rough set pseudo-outer product fuzzy neural network. - Aparna Ramesh Iyer; Dilip K. Prasad; Hiok Chai Quek (Expert Syst. Appl., 2018)

Sentiment analysis using EEG activities for suicidology. - Dilip K. Prasad; Shijie Liu; Shen-Hsing Annabel Chen; Chai Quek (Expert Syst. Appl., 2018)

Accurate detection of ellipses with false detection control at video rates using a gradient analysis. - Huixu Dong; Dilip K. Prasad; I-Ming Chen (Pattern Recognit., 2018)

Fast Ellipse Detection via Gradient Information for Robotic Manipulation of Cylindrical Objects. - Huixu Dong; Guangbin Sun; Wee Ching Pang; Ehsan Asadi; Dilip K. Prasad; I-Ming Chen (IEEE Robotics Autom. Lett., 2018)

SoCodeCNN: Program Source Code for Visual CNN Classification Using Computer Vision Methodology. - Somdip Dey; Amit Kumar Singh 002; Dilip K. Prasad; Klaus Dieter McDonald-Maier (IEEE Access, 2019)

TMAV: Temporal Motionless Analysis of Video using CNN in MPSoC. - Somdip Dey; Amit Kumar Singh 002; Dilip K. Prasad; Klaus D. McDonald-Maier (CoRR, 2019)

CARF-Net: CNN attention and RNN fusion network for video-based person reidentification. - Kajal Kansal; A. Venkata Subramanyam; Dilip K. Prasad; Mohan S. Kankanhalli (J. Electronic Imaging, 2019)

Classification of Micro-Damage in Piezoelectric Ceramics Using Machine Learning of Ultrasound Signals. - Gaurav Tripathi; Habib Anowarul; Krishna Agarwal; Dilip K. Prasad (Sensors, 2019)

Object Detection in a Maritime Environment: Performance Evaluation of Background Subtraction Methods. - Dilip K. Prasad; Chandrashekar Krishna Prasath; Deepu Rajan; Lily Rachmawati; Eshan Rajabally; Chai Quek (IEEE Trans. Intell. Transp. Syst., 2019)

Real-Time Robotic Manipulation of Cylindrical Objects in Dynamic Scenarios Through Elliptic Shape Primitives. - Huixu Dong; Ehsan Asadi; Guangbin Sun; Dilip K. Prasad; I-Ming Chen (IEEE Trans. Robotics, 2019)

Temporal Motionless Analysis of Video using CNN in MPSoC. - Somdip Dey; Amit Kumar Singh 002; Dilip Kumar Prasad; Klaus D. McDonald-Maier (ASAP, 2020)

Learning Nanoscale Motion Patterns of Vesicles in Living Cells. - Arif Ahmed Sekh; Ida Sundvor Opstad; Åsa Birna Birgisdottir; Truls Myrmel; Balpreet Singh Ahluwalia; Krishna Agarwal; Dilip K. Prasad (CVPR, 2020)

Single Image Dehazing for a Variety of Haze Scenarios Using Back Projected Pyramid Network. - Ayush Singh; Ajay Bhave; Dilip K. Prasad (ECCV Workshops (4), 2020)

Recurrent Self-evolving Takagi-Sugeno-Kan Fuzzy Neural Network (RST-FNN) Based Type-2 Diabetic Modeling. - Quah En Zhe; Arif Ahmed Sekh; Chai Quek; Dilip K. Prasad (ICIS, 2020)

GEMM-eMFIS (FRI/E): A Novel General Episodic Memory Mechanism For Fuzzy Neural Networks. - Sheng Wei Pang; Chai Quek; Dilip K. Prasad (IJCNN, 2020)

IRON-MAN: An Approach to Perform Temporal Motionless Analysis of Video Using CNN in MPSoC. - Somdip Dey; Amit Kumar Singh 002; Dilip Kumar Prasad; Klaus D. McDonald-Maier (IEEE Access, 2020)

ELM-HTM guided bio-inspired unsupervised learning for anomalous trajectory classification. - Sk. Arif Ahmed; Debi Prosad Dogra; Samarjit Kar; Partha Pratim Roy 001; Dilip K. Prasad (Cogn. Syst. Res., 2020)

Neural network based country wise risk prediction of COVID-19. - Ratnabali Pal; Arif Ahmed Sekh; Samarjit Kar; 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)

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)

IT2-GSETSK: An evolving interval Type-II TSK fuzzy neural system for online modeling of noisy data. - Mohammad Ashrafi; Dilip K. Prasad; Chai Quek (Neurocomputing, 2020)

Can we automate diagrammatic reasoning? - Arif Ahmed 002; Debi Prosad Dogra; Samarjit Kar; Partha Pratim Roy 001; Dilip K. Prasad (Pattern Recognit., 2020)

Are Object Detection Assessment Criteria Ready for Maritime Computer Vision? - Dilip K. Prasad; Huixu Dong; Deepu Rajan; Chai Quek (IEEE Trans. Intell. Transp. Syst., 2020)

Digital Staining of Mitochondria in Label-free Live-cell Microscopy. - Ayush Somani; Arif Ahmed Sekh; Ida Sundvor Opstad; Åsa Birna Birgisdottir; Truls Myrmel; Balpreet Singh Ahluwalia; Krishna Agarwal; Dilip K. Prasad; Alexander Horsch (Bildverarbeitung für die Medizin, 2021)

Motivation detection using EEG signal analysis by residual-in-residual convolutional neural network. - Soham Chattopadhyay; Laila Zary; Chai Quek; Dilip K. Prasad (Expert Syst. Appl., 2021)

Physics-based machine learning for subcellular segmentation in living cells. - Arif Ahmed Sekh; Ida Sundvor Opstad; Gustav Godtliebsen; Åsa Birna Birgisdottir; Balpreet Singh Ahluwalia; Krishna Agarwal; Dilip K. Prasad (Nat. Mach. Intell., 2021)

RS-HeRR: a rough set-based Hebbian rule reduction neuro-fuzzy system. - Feng Liu 043; Arif Ahmed Sekh; Chai Quek; Geok See Ng; Dilip K. Prasad (Neural Comput. Appl., 2021)

seMLP: Self-evolving Multi-layer Perceptron in Stock Trading Decision Making. - Seow Wen Jun; Arif Ahmed Sekh; Chai Quek; Dilip K. Prasad (SN Comput. Sci., 2021)

Object Pose Estimation via Pruned Hough Forest With Combined Split Schemes for Robotic Grasp. - Huixu Dong; Dilip K. Prasad; I-Ming Chen (IEEE Trans Autom. Sci. Eng., 2021)

Mapping Functional Changes in the Embryonic Heart of Atlantic Salmon Post Viral Infection Using AI Technique. - S. Chattopadhyay; A. Malachowski; J. K. Swain; R. A. Dalmo; Alexander Horsch; Dilip K. Prasad (ICIP, 2022)

Auxiliary Network: Scalable and Agile Online Learning for Dynamic System with Inconsistently Available Inputs. - Rohit Agarwal; Krishna Agarwal; Alexander Horsch; Dilip K. Prasad (ICONIP (1), 2022)

Learning-based Ellipse Detection for Robotic Grasps of Cylinders and Ellipsoids. - Huixu Dong; Jiadong Zhou; Chen Qiu; Dilip K. Prasad; I-Ming Chen (ICRA, 2022)

Counterfactual Explainable Gastrointestinal and Colonoscopy Image Segmentation. - Divij Singh; Ayush Somani; Alexander Horsch; Dilip K. Prasad (ISBI, 2022)

An embedded deep fuzzy association model for learning and explanation. - Xie Chen 002; Deepu Rajan; Dilip K. Prasad; Chai Quek (Appl. Soft Comput., 2022)

UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images. - Deepak K. Gupta; Udbhav Bamba; Abhishek Thakur; Akash Gupta; Suraj Sharan; Ertugrul Demir; Dilip K. Prasad (CoRR, 2022)

MixBin: Towards Budgeted Binarization. - Udbhav Bamba; Neeraj Anand; Dilip K. Prasad; Deepak K. Gupta (CoRR, 2022)

Topic-based Video Analysis: A Survey. - Ratnabali Pal; Arif Ahmed Sekh; Debi Prosad Dogra; Samarjit Kar; Partha Pratim Roy 001; Dilip K. Prasad (ACM Comput. Surv., 2022)

Emotionally charged text classification with deep learning and sentiment semantic. - Jeow Li Huan; Arif Ahmed Sekh; Chai Quek; Dilip K. Prasad (Neural Comput. Appl., 2022)

Physics-Guided Loss Functions Improve Deep Learning Performance in Inverse Scattering. - Zicheng Liu 002; Mayank Roy; Dilip K. Prasad; Krishna Agarwal (IEEE Trans. Computational Imaging, 2022)

Interpretability in Deep Learning - Ayush Somani; Alexander Horsch; Dilip K. Prasad (Springer, 2023)

Guided U-Net Aided Efficient Image Data Storing with Shape Preservation. - Nirwan Banerjee; Samir Malakar; Deepak Kumar Gupta; Alexander Horsch; Dilip K. Prasad (ACPR (1), 2023)

Image Inpainting with Hypergraphs for Resolution Improvement in Scanning Acoustic Microscopy. - Ayush Somani; Pragyan Banerjee; Krishna Agarwal; Manu Rastogi; Dilip K. Prasad; Anowarul Habib (CVPR Workshops, 2023)

Mabnet: Master Assistant Buddy Network With Hybrid Learning for Image Retrieval. - Rohit Agarwal; Gyanendra Das; Saksham Aggarwal; Alexander Horsch; Dilip K. Prasad (ICASSP, 2023)

On Designing Light-Weight Object Trackers Through Network Pruning: Use CNNS or Transformers? - Saksham Aggarwal; Taneesh Gupta; Pawan Kumar Sahu; Arnav Chavan; Rishabh Tiwari; Dilip K. Prasad; Deepak K. Gupta (ICASSP, 2023)

RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning. - Rishabh Tiwari; Arnav Chavan; Deepak K. Gupta; Gowreesh Mago; Animesh Gupta; Akash Gupta; Suraj Sharan; Yukun Yang; Shanwei Zhao; Shihao Wang; Youngjun Kwak; Seonghun Jeong; et al. (ICCV (Workshops), 2023)

Patch Gradient Descent: Training Neural Networks on Very Large Images. - Deepak K. Gupta; Gowreesh Mago; Arnav Chavan; Dilip K. Prasad (CoRR, 2023)

MiShape: 3D Shape Modelling of Mitochondria in Microscopy. - Abhinanda R. Punnakkal; Suyog S. Jadhav; Alexander Horsch; Krishna Agarwal; Dilip K. Prasad (CoRR, 2023)

Data-Efficient Training of CNNs and Transformers with Coresets: A Stability Perspective. - Animesh Gupta; Irtiza Hasan; Dilip K. Prasad; Deepak K. Gupta (CoRR, 2023)

Latent Graph Attention for Enhanced Spatial Context. - Ayush Singh; Yash Bhambhu; Himanshu Buckchash; Deepak K. Gupta; Dilip K. Prasad (CoRR, 2023)

Modelling Irregularly Sampled Time Series Without Imputation. - Rohit Agarwal; Aman Sinha 002; Dilip K. Prasad; Marianne Clausel; Alexander Horsch; Mathieu Constant; Xavier Coubez (CoRR, 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)

Blend & Predict: Domain-Adaptable Few-Shot Learning for Microscopy Imaging. - Ayush Somani; Anshul Gupta; Arif Ahmed Sekh; Krishna Agarwal; Dilip K. Prasad (ICIP, 2024)

SeqToFunc - From Sequence to Protein Function Prediction Using Language Modeling. - Iqra Qasim; Alexander Horsch; Dilip K. Prasad (ICPR (Workshops and Challenges, 5), 2024)

DNA Fragmentation Estimation Using Light-Weight Deep Learning Model. - Sudhanshu Rai; Samir Malakar; Dilip K. Prasad (ICPR (Workshops and Challenges, 5), 2024)

Partial Binarization of Neural Networks for Budget-Aware Efficient Learning. - Udbhav Bamba; Neeraj Anand; Saksham Aggarwal; Dilip K. Prasad; Deepak K. Gupta (WACV, 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)

Towards a More Inclusive AI: Progress and Perspectives in Large Language Model Training for the Sámi Language. - Ronny Paul; Himanshu Buckchash; Shantipriya Parida; Dilip K. Prasad (CoRR, 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)

pNNCLR: Stochastic pseudo neighborhoods for contrastive learning based unsupervised representation learning problems. - Momojit Biswas; Himanshu Buckchash; Dilip K. Prasad (Neurocomputing, 2024)

Pushing the Limits of Gradient Descent for Efficient Learning on Large Images. - Deepak K. Gupta; Gowreesh Mago; Arnav Chavan; Dilip K. Prasad; Rajat Mani Thomas (Trans. Mach. Learn. Res., 2024)

High-resolution imaging in acoustic microscopy using deep learning. - Pragyan Banerjee; Shivam Milind Akarte; Prakhar Kumar; Muhammad Shamsuzzaman; Ankit Butola; Krishna Agarwal; Dilip K. Prasad; Frank Melandsø; Anowarul Habib (Mach. Learn. Sci. Technol., 2024)

Gender and Diversity Policy in AI - Strategies, Metrics and Case Studies - Arif Ahmed Sekh; Dilip K. Prasad (Gender and Diversity Policy in AI, 2025)

Label Modulated Dynamic Graph Convolution for Subcellular Structure Segmentation from Nanoscopy Images. - Ananda S. Chowdhury; Snehendu Majhi; Suyog Jadhav; Krishna Agarwal; Dilip K. Prasad (GbRPR, 2025)

Hedging Is Not All You Need: A Simple Baseline for Online Learning Under Haphazard Inputs. - Himanshu Buckchash; Momojit Biswas; Rohit Agarwal; Dilip K. Prasad (ICASSP, 2025)

NorViVQA: Visual Question Answering for Visually Impaired in Norwegian Language. - Ratnabali Pal; Samarjit Kar; Dilip K. Prasad (NAIS, 2025)

Compact representation for memory-efficient storage of images using genetic algorithm-guided key pixel selection. - Samir Malakar; Nirwan Banerjee; Dilip K. Prasad (Eng. Appl. Artif. Intell., 2025)

Applications and Challenges of AI and Microscopy in Life Science Research: A Review. - Himanshu Buckchash; Gyanendra Kumar Verma 001; Dilip K. Prasad (CoRR, 2025)

Haphazard Inputs as Images in Online Learning. - Rohit Agarwal; Aryan Dessai; Arif Ahmed Sekh; Krishna Agarwal; Alexander Horsch; Dilip K. Prasad (CoRR, 2025)

Dense Video Captioning: A Survey of Techniques, Datasets and Evaluation Protocols. - Iqra Qasim; Alexander Horsch; Dilip K. Prasad (ACM Comput. Surv., 2025)

BMWP: the first Bengali math word problems dataset for operation prediction and solving. - Sanchita Mondal; Debnarayan Khatua; Sourav Mandal 001; Dilip K. Prasad; Arif Ahmed Sekh (Discov. Artif. Intell., 2025)

Multilingual visual question answering for visually impaired people. - Ratnabali Pal; Samarjit Kar; Dilip K. Prasad; Arif Ahmed Sekh (Discov. Artif. Intell., 2025)