Dilip K. Prasad

121 papers A* 3A 2B 6C 3Misc 4Journal 78Unranked 22
YearRankTypeTitle / Venue / Authors
2026 J jnl
Enhanced Image Steganography Using Secure Random Pixel Distribution.
Secur. Priv.
Abhishek Kumar, P. Sudam Sekhar, Debnarayan Khatua, Dilip K. Prasad, Arif Ahmed Sekh
2026 J jnl
Exploring gallbladder cancer prognosis using machine learning and explainable AI.
Discov. Comput.
Shantam Srivastava, Ankita Dutta, Debashree Guha, Debnarayan Khatua, Dilip K. Prasad, Arif Ahmed Sekh
2026 J jnl
VisionAidQA: Advancing Visual Question Answering for the Visually Impaired.
ACM Comput. Surv.
Ratnabali Pal, Samarjit Kar, Dilip K. Prasad, Arif Ahmed Sekh
2025 J jnl
Applications and Challenges of AI and Microscopy in Life Science Research: A Review.
CoRR
Himanshu Buckchash, Gyanendra Kumar Verma, Dilip K. Prasad
2025 J jnl
BGPCN: A BERT and GPT-2-based Relational Graph Convolutional Network for hostile Hindi information detection.
Array
Angana Chakraborty, Subhankar Joardar, Dilip K. Prasad, Arif Ahmed Sekh
2025 J jnl
BMWP: the first Bengali math word problems dataset for operation prediction and solving.
Discov. Artif. Intell.
Sanchita Mondal, Debnarayan Khatua, Sourav Mandal, Dilip K. Prasad, Arif Ahmed Sekh
2025 J jnl
Compact representation for memory-efficient storage of images using genetic algorithm-guided key pixel selection.
Eng. Appl. Artif. Intell.
Samir Malakar, Nirwan Banerjee, Dilip K. Prasad
2025 J jnl
Dense Video Captioning: A Survey of Techniques, Datasets and Evaluation Protocols.
ACM Comput. Surv.
Iqra Qasim, Alexander Horsch, Dilip K. Prasad
2025 — conf
Explain with Confidence: Fusing Saliency Maps for Faithful and Interpretable Weakly-Supervised Model.
ICCVW
Ayush Somani, Arif Ahmed Sekh, Dilip K. Prasad
2025 — book
Gender and Diversity Policy in AI - Strategies, Metrics and Case Studies
Gender and Diversity Policy in AI
Arif Ahmed Sekh, Dilip K. Prasad
2025 J jnl
Graph-based hostile content detection in Hindi language.
Discov. Comput.
Angana Chakraborty, Subhankar Joardar, Dilip K. Prasad, Arif Ahmed Sekh
2025 B conf
Haphazard Inputs as Images in Online Learning.
IJCNN
Rohit Agarwal, Aryan Dessai, Arif Ahmed Sekh, Krishna Agarwal, Alexander Horsch, Dilip K. Prasad
2025 J jnl
Haphazard Inputs as Images in Online Learning.
CoRR
Rohit Agarwal, Aryan Dessai, Arif Ahmed Sekh, Krishna Agarwal, Alexander Horsch, Dilip K. Prasad
2025 Misc conf
Hedging Is Not All You Need: A Simple Baseline for Online Learning Under Haphazard Inputs.
ICASSP
Himanshu Buckchash, Momojit Biswas, Rohit Agarwal, Dilip K. Prasad
2025 Misc conf
LLM Compression: How Far Can We Go in Balancing Size and Performance?
RANLP
Sahil Sk, Debashish Dhal, Sonal Khosla, Akash Dhaka, Shantipriya Parida, Sk Shahid, Sambit Shekhar, Dilip K. Prasad, Ondrej Bojar
2025 J jnl
LLM Compression: How Far Can We Go in Balancing Size and Performance?
CoRR
Sahil Sk, Debasish Dhal, Sonal Khosla, Sk Shahid, Sambit Shekhar, Akash Dhaka, Shantipriya Parida, Dilip K. Prasad, Ondrej Bojar
2025 — conf
Label Modulated Dynamic Graph Convolution for Subcellular Structure Segmentation from Nanoscopy Images.
GbRPR
Ananda S. Chowdhury, Snehendu Majhi, Suyog Jadhav, Krishna Agarwal, Dilip K. Prasad
2025 J jnl
Multilingual visual question answering for visually impaired people.
Discov. Artif. Intell.
Ratnabali Pal, Samarjit Kar, Dilip K. Prasad, Arif Ahmed Sekh
2025 — conf
NorViVQA: Visual Question Answering for Visually Impaired in Norwegian Language.
NAIS
Ratnabali Pal, Samarjit Kar, Dilip K. Prasad
2025 — conf
Rethinking Explainer Trust: A Position on the Inconsistencies of Visual Explanations in Weakly Supervised Segmentation.
ICCVW
Ayush Somani, Dilip K. Prasad
2024 B conf
Blend & Predict: Domain-Adaptable Few-Shot Learning for Microscopy Imaging.
ICIP
Ayush Somani, Anshul Gupta, Arif Ahmed Sekh, Krishna Agarwal, Dilip K. Prasad
2024 — conf
DNA Fragmentation Estimation Using Light-Weight Deep Learning Model.
ICPR (Workshops and Challenges, 5)
Sudhanshu Rai, Samir Malakar, Dilip K. Prasad
2024 J jnl
Hedging Is Not All You Need: A Simple Baseline for Online Learning Under Haphazard Inputs.
CoRR
Himanshu Buckchash, Momojit Biswas, Rohit Agarwal, Dilip K. Prasad
2024 J jnl
High-resolution imaging in acoustic microscopy using deep learning.
Mach. Learn. Sci. Technol.
Pragyan Banerjee, Shivam Milind Akarte, Prakhar Kumar, Muhammad Shamsuzzaman, Ankit Butola, Krishna Agarwal, Dilip K. Prasad, Frank Melandsø, Anowarul Habib
2024 J jnl
Online Learning under Haphazard Input Conditions: A Comprehensive Review and Analysis.
CoRR
Rohit Agarwal, Arijit Das, Alexander Horsch, Krishna Agarwal, Dilip K. Prasad
2024 A conf
Partial Binarization of Neural Networks for Budget-Aware Efficient Learning.
WACV
Udbhav Bamba, Neeraj Anand, Saksham Aggarwal, Dilip K. Prasad, Deepak K. Gupta
2024 J jnl
Pushing the Limits of Gradient Descent for Efficient Learning on Large Images.
Trans. Mach. Learn. Res.
Deepak K. Gupta, Gowreesh Mago, Arnav Chavan, Dilip K. Prasad, Rajat Mani Thomas
2024 — conf
SeqToFunc - From Sequence to Protein Function Prediction Using Language Modeling.
ICPR (Workshops and Challenges, 5)
Iqra Qasim, Alexander Horsch, Dilip K. Prasad
2024 J jnl
Towards a More Inclusive AI: Progress and Perspectives in Large Language Model Training for the Sámi Language.
CoRR
Ronny Paul, Himanshu Buckchash, Shantipriya Parida, Dilip K. Prasad
2024 J jnl
pNNCLR: Stochastic pseudo neighborhoods for contrastive learning based unsupervised representation learning problems.
Neurocomputing
Momojit Biswas, Himanshu Buckchash, Dilip K. Prasad
2024 J jnl
packetLSTM: Dynamic LSTM Framework for Streaming Data with Varying Feature Space.
CoRR
Rohit Agarwal, Karaka Prasanth Naidu, Alexander Horsch, Krishna Agarwal, Dilip K. Prasad
2023 J jnl
Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts.
CoRR
Rohit Agarwal, Deepak K. Gupta, Alexander Horsch, Dilip K. Prasad
2023 J jnl
Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts.
Trans. Mach. Learn. Res.
Rohit Agarwal, Deepak K. Gupta, Alexander Horsch, Dilip K. Prasad
2023 J jnl
Data-Efficient Training of CNNs and Transformers with Coresets: A Stability Perspective.
CoRR
Animesh Gupta, Irtiza Hasan, Dilip K. Prasad, Deepak K. Gupta
2023 J jnl
Dense Video Captioning: A Survey of Techniques, Datasets and Evaluation Protocols.
CoRR
Iqra Qasim, Alexander Horsch, Dilip K. Prasad
2023 — conf
Guided U-Net Aided Efficient Image Data Storing with Shape Preservation.
ACPR (1)
Nirwan Banerjee, Samir Malakar, Deepak Kumar Gupta, Alexander Horsch, Dilip K. Prasad
2023 — conf
Image Inpainting with Hypergraphs for Resolution Improvement in Scanning Acoustic Microscopy.
CVPR Workshops
Ayush Somani, Pragyan Banerjee, Krishna Agarwal, Manu Rastogi, Dilip K. Prasad, Anowarul Habib
2023 — book
Interpretability in Deep Learning
Ayush Somani, Alexander Horsch, Dilip K. Prasad
2023 J jnl
Latent Graph Attention for Enhanced Spatial Context.
CoRR
Ayush Singh, Yash Bhambhu, Himanshu Buckchash, Deepak K. Gupta, Dilip K. Prasad
2023 J jnl
MABNet: Master Assistant Buddy Network with Hybrid Learning for Image Retrieval.
CoRR
Rohit Agarwal, Gyanendra Das, Saksham Aggarwal, Alexander Horsch, Dilip K. Prasad
2023 Misc conf
Mabnet: Master Assistant Buddy Network With Hybrid Learning for Image Retrieval.
ICASSP
Rohit Agarwal, Gyanendra Das, Saksham Aggarwal, Alexander Horsch, Dilip K. Prasad
2023 J jnl
MiShape: 3D Shape Modelling of Mitochondria in Microscopy.
CoRR
Abhinanda R. Punnakkal, Suyog S. Jadhav, Alexander Horsch, Krishna Agarwal, Dilip K. Prasad
2023 J jnl
Modelling Irregularly Sampled Time Series Without Imputation.
CoRR
Rohit Agarwal, Aman Sinha, Dilip K. Prasad, Marianne Clausel, Alexander Horsch, Mathieu Constant, Xavier Coubez
2023 Misc conf
On Designing Light-Weight Object Trackers Through Network Pruning: Use CNNS or Transformers?
ICASSP
Saksham Aggarwal, Taneesh Gupta, Pawan Kumar Sahu, Arnav Chavan, Rishabh Tiwari, Dilip K. Prasad, Deepak K. Gupta
2023 J jnl
Patch Gradient Descent: Training Neural Networks on Very Large Images.
CoRR
Deepak K. Gupta, Gowreesh Mago, Arnav Chavan, Dilip K. Prasad
2023 — conf
RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning.
ICCV (Workshops)
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, Yunseung Lee, Changick Kim, Subin Kim, Ganzorig Gankhuyag, Ho Jung, Junwhan Ryu, Haemoon Kim, Byeong Hak Kim, Tu Vo, Sheir Zaheer, Alexander Holston, Chan Y. Park, Dheemant Dixit, Nahush Lele, Kushagra Bhushan, Debjani Bhowmick, Devanshu Arya, Sadaf Gulshad, Amirhossein Habibian, Amir Ghodrati, Babak Ehteshami Bejnordi, Jai Gupta, Zhuang Liu, Jiahui Yu, Dilip K. Prasad, Zhiqiang Shen
2023 J jnl
pNNCLR: Stochastic Pseudo Neighborhoods for Contrastive Learning based Unsupervised Representation Learning Problems.
CoRR
Momojit Biswas, Himanshu Buckchash, Dilip K. Prasad
2022 J jnl
An embedded deep fuzzy association model for learning and explanation.
Appl. Soft Comput.
Xie Chen, Deepu Rajan, Dilip K. Prasad, Chai Quek
2022 — conf
Auxiliary Network: Scalable and Agile Online Learning for Dynamic System with Inconsistently Available Inputs.
ICONIP (1)
Rohit Agarwal, Krishna Agarwal, Alexander Horsch, Dilip K. Prasad
2022 — conf
Counterfactual Explainable Gastrointestinal and Colonoscopy Image Segmentation.
ISBI
Divij Singh, Ayush Somani, Alexander Horsch, Dilip K. Prasad
2022 J jnl
Emotionally charged text classification with deep learning and sentiment semantic.
Neural Comput. Appl.
Jeow Li Huan, Arif Ahmed Sekh, Chai Quek, Dilip K. Prasad
2022 A* conf
Learning-based Ellipse Detection for Robotic Grasps of Cylinders and Ellipsoids.
ICRA
Huixu Dong, Jiadong Zhou, Chen Qiu, Dilip K. Prasad, I-Ming Chen
2022 B conf
Mapping Functional Changes in the Embryonic Heart of Atlantic Salmon Post Viral Infection Using AI Technique.
ICIP
S. Chattopadhyay, A. Malachowski, Jaya Kumari Swain, R. A. Dalmo, Alexander Horsch, Dilip K. Prasad
2022 J jnl
MixBin: Towards Budgeted Binarization.
CoRR
Udbhav Bamba, Neeraj Anand, Dilip K. Prasad, Deepak K. Gupta
2022 J jnl
On designing light-weight object trackers through network pruning: Use CNNs or transformers?
CoRR
Saksham Aggarwal, Taneesh Gupta, Pawan Kumar Sahu, Arnav Chavan, Rishabh Tiwari, Dilip K. Prasad, Deepak K. Gupta
2022 J jnl
Physics-Guided Loss Functions Improve Deep Learning Performance in Inverse Scattering.
IEEE Trans. Computational Imaging
Zicheng Liu, Mayank Roy, Dilip K. Prasad, Krishna Agarwal
2022 J jnl
Topic-based Video Analysis: A Survey.
ACM Comput. Surv.
Ratnabali Pal, Arif Ahmed Sekh, Debi Prosad Dogra, Samarjit Kar, Partha Pratim Roy, Dilip K. Prasad
2022 J jnl
UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images.
CoRR
Deepak K. Gupta, Udbhav Bamba, Abhishek Thakur, Akash Gupta, Suraj Sharan, Ertugrul Demir, Dilip K. Prasad
2021 — conf
Digital Staining of Mitochondria in Label-free Live-cell Microscopy.
Bildverarbeitung für die Medizin
Ayush Somani, Arif Ahmed Sekh, Ida Sundvor Opstad, Åsa Birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia, Krishna Agarwal, Dilip K. Prasad, Alexander Horsch
2021 J jnl
Motivation detection using EEG signal analysis by residual-in-residual convolutional neural network.
Expert Syst. Appl.
Soham Chattopadhyay, Laila Zary, Chai Quek, Dilip K. Prasad
2021 J jnl
Object Pose Estimation via Pruned Hough Forest With Combined Split Schemes for Robotic Grasp.
IEEE Trans Autom. Sci. Eng.
Huixu Dong, Dilip K. Prasad, I-Ming Chen
2021 J jnl
Physics-based machine learning for subcellular segmentation in living cells.
Nat. Mach. Intell.
Arif Ahmed Sekh, Ida Sundvor Opstad, Gustav Godtliebsen, Åsa Birna Birgisdottir, Balpreet Singh Ahluwalia, Krishna Agarwal, Dilip K. Prasad
2021 J jnl
Physics-guided Loss Functions Improve Deep Learning Performance in Inverse Scattering.
CoRR
Zicheng Liu, Mayank Roy, Dilip K. Prasad, Krishna Agarwal
2021 J jnl
RS-HeRR: a rough set-based Hebbian rule reduction neuro-fuzzy system.
Neural Comput. Appl.
Feng Liu, Arif Ahmed Sekh, Chai Quek, Geok See Ng, Dilip K. Prasad
2021 J jnl
seMLP: Self-evolving Multi-layer Perceptron in Stock Trading Decision Making.
SN Comput. Sci.
Seow Wen Jun, Arif Ahmed Sekh, Chai Quek, Dilip K. Prasad
2020 J jnl
Are Object Detection Assessment Criteria Ready for Maritime Computer Vision?
IEEE Trans. Intell. Transp. Syst.
Dilip K. Prasad, Huixu Dong, Deepu Rajan, Chai Quek
2020 J jnl
Auxiliary Network: Scalable and agile online learning for dynamic system with inconsistently available inputs.
CoRR
Rohit Agarwal, Arif Ahmed Sekh, Krishna Agarwal, Dilip K. Prasad
2020 J jnl
Can we automate diagrammatic reasoning?
Pattern Recognit.
Arif Ahmed, Debi Prosad Dogra, Samarjit Kar, Partha Pratim Roy, Dilip K. Prasad
2020 J jnl
ELM-HTM guided bio-inspired unsupervised learning for anomalous trajectory classification.
Cogn. Syst. Res.
Sk. Arif Ahmed, Debi Prosad Dogra, Samarjit Kar, Partha Pratim Roy, Dilip K. Prasad
2020 B conf
GEMM-eMFIS (FRI/E): A Novel General Episodic Memory Mechanism For Fuzzy Neural Networks.
IJCNN
Sheng Wei Pang, Chai Quek, Dilip K. Prasad
2020 J jnl
IT2-GSETSK: An evolving interval Type-II TSK fuzzy neural system for online modeling of noisy data.
Neurocomputing
Mohammad Ashrafi, Dilip K. Prasad, Chai Quek
2020 A* conf
Learning Nanoscale Motion Patterns of Vesicles in Living Cells.
CVPR
Arif Ahmed Sekh, Ida Sundvor Opstad, Åsa Birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia, Krishna Agarwal, Dilip K. Prasad
2020 J jnl
Neural network based country wise risk prediction of COVID-19.
CoRR
Ratnabali Pal, Arif Ahmed Sekh, Samarjit Kar, Dilip K. Prasad
2020 C conf
Recurrent Self-evolving Takagi-Sugeno-Kan Fuzzy Neural Network (RST-FNN) Based Type-2 Diabetic Modeling.
ICIS
Quah En Zhe, Arif Ahmed Sekh, Chai Quek, Dilip K. Prasad
2020 J jnl
Simulation-supervised deep learning for analysing organelles states and behaviour in living cells.
CoRR
Arif Ahmed Sekh, Ida Sundvor Opstad, Rohit Agarwal, Åsa Birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia, Krishna Agarwal, Dilip K. Prasad
2020 — conf
Single Image Dehazing for a Variety of Haze Scenarios Using Back Projected Pyramid Network.
ECCV Workshops (4)
Ayush Singh, Ajay Bhave, Dilip K. Prasad
2020 J jnl
Single image dehazing for a variety of haze scenarios using back projected pyramid network.
CoRR
Ayush Singh, Ajay Bhave, Dilip K. Prasad
2019 J jnl
CARF-Net: CNN attention and RNN fusion network for video-based person reidentification.
J. Electronic Imaging
Kajal Kansal, A. Venkata Subramanyam, Dilip K. Prasad, Mohan S. Kankanhalli
2019 J jnl
Can We Automate Diagrammatic Reasoning?
CoRR
Sk. Arif Ahmed, Debi Prosad Dogra, Samarjit Kar, Partha Pratim Roy, Dilip K. Prasad
2019 J jnl
Classification of Micro-Damage in Piezoelectric Ceramics Using Machine Learning of Ultrasound Signals.
Sensors
Gaurav Tripathi, Habib Anowarul, Krishna Agarwal, Dilip K. Prasad
2019 J jnl
Object Detection in a Maritime Environment: Performance Evaluation of Background Subtraction Methods.
IEEE Trans. Intell. Transp. Syst.
Dilip K. Prasad, Chandrashekar Krishna Prasath, Deepu Rajan, Lily Rachmawati, Eshan Rajabally, Chai Quek
2019 J jnl
Real-Time Robotic Manipulation of Cylindrical Objects in Dynamic Scenarios Through Elliptic Shape Primitives.
IEEE Trans. Robotics
Huixu Dong, Ehsan Asadi, Guangbin Sun, Dilip K. Prasad, I-Ming Chen
2019 J jnl
SoCodeCNN: Program Source Code for Visual CNN Classification Using Computer Vision Methodology.
IEEE Access
Somdip Dey, Amit Kumar Singh, Dilip K. Prasad, Klaus Dieter McDonald-Maier
2019 J jnl
TMAV: Temporal Motionless Analysis of Video using CNN in MPSoC.
CoRR
Somdip Dey, Amit Kumar Singh, Dilip K. Prasad, Klaus D. McDonald-Maier
2018 J jnl
Accurate detection of ellipses with false detection control at video rates using a gradient analysis.
Pattern Recognit.
Huixu Dong, Dilip K. Prasad, I-Ming Chen
2018 J jnl
Are object detection assessment criteria ready for maritime computer vision?
CoRR
Dilip K. Prasad, Deepu Rajan, Chai Quek
2018 A conf
Efficient Pose Estimation from Single RGB-D Image via Hough Forest with Auto-Context.
IROS
Huixu Dong, Dilip K. Prasad, Qilong Yuan, Jiadong Zhou, Ehsan Asadi, I-Ming Chen
2018 J jnl
Enabling Grasp Action: Generalized Evaluation of Grasp Stability via Contact Stiffness from Contact Mechanics Insight.
CoRR
Huixu Dong, Chen Qiu, Dilip K. Prasad, Ye Pan, Jiansheng Dai, I-Ming Chen
2018 J jnl
Fast Ellipse Detection via Gradient Information for Robotic Manipulation of Cylindrical Objects.
IEEE Robotics Autom. Lett.
Huixu Dong, Guangbin Sun, Wee Ching Pang, Ehsan Asadi, Dilip K. Prasad, I-Ming Chen
2018 J jnl
PIE-RSPOP: A brain-inspired pseudo-incremental ensemble rough set pseudo-outer product fuzzy neural network.
Expert Syst. Appl.
Aparna Ramesh Iyer, Dilip K. Prasad, Hiok Chai Quek
2018 J jnl
Polygonal approximation of digital planar curve using novel significant measure.
CoRR
Mangayarkarasi Ramaiah, Dilip K. Prasad
2018 J jnl
Sentiment analysis using EEG activities for suicidology.
Expert Syst. Appl.
Dilip K. Prasad, Shijie Liu, Shen-Hsing Annabel Chen, Chai Quek
2017 J jnl
MSCM-LiFe: Multi-scale cross modal linear feature for horizon detection in maritime images.
CoRR
Dilip K. Prasad, Deepu Rajan, Chandrashekar Krishna Prasath, Lily Rachmawati, Eshan Rajabally, Chai Quek
2017 J jnl
Maritime situational awareness using adaptive multi-sensor management under hazy conditions.
CoRR
Dilip K. Prasad, Chandrashekar Krishna Prasath, Deepu Rajan, Lily Rachmawati, Eshan Rajabally, Chai Quek
2017 — conf
Robust Ellipse Detection via Duality Principle with a False Determination Control.
CVIP (2)
Huixu Dong, I-Ming Chen, Dilip K. Prasad
2017 B conf
Robust ellipse detection via arc segmentation and classification.
ICIP
Huixu Dong, I-Ming Chen, Dilip K. Prasad
2017 J jnl
Video Processing From Electro-Optical Sensors for Object Detection and Tracking in a Maritime Environment: A Survey.
IEEE Trans. Intell. Transp. Syst.
Dilip K. Prasad, Deepu Rajan, Lily Rachmawati, Eshan Rajabally, Chai Quek
2016 J jnl
Challenges in video based object detection in maritime scenario using computer vision.
CoRR
Dilip K. Prasad, Chandrashekar Krishna Prasath, Deepu Rajan, Lily Rachmawati, Eshan Rajabally, Chai Quek
2016 J jnl
Classification of Hyperspectral or Trichromatic Measurements of Ocean Color Data into Spectral Classes.
Sensors
Dilip K. Prasad, Krishna Agarwal
2016 J jnl
Recent Advances in Statistical Data and Signal Analysis: Application to Real World Diagnostics from Medical and Biological Signals.
Comput. Math. Methods Medicine
Dwarikanath Mahapatra, Krishna Agarwal, Reza Khosrowabadi, Dilip K. Prasad
2016 — conf
Strategies for Resolving Camera Metamers Using 3+1 Channel.
CVPR Workshops
Dilip K. Prasad
2016 J jnl
Video Processing from Electro-optical Sensors for Object Detection and Tracking in Maritime Environment: A Survey.
CoRR
Dilip K. Prasad, Deepu Rajan, Lily Rachmawati, Eshan Rajabally, Chai Quek
2015 J jnl
Prediction of porosity and thermal diffusivity in a porous fin using differential evolution algorithm.
Swarm Evol. Comput.
Ranjan Das, Dilip K. Prasad
2014 J jnl
DEB: Definite Error Bounded Tangent Estimator for Digital Curves.
IEEE Trans. Image Process.
Dilip K. Prasad, Maylor K. H. Leung, Chai Quek, Michael S. Brown
2014 A* conf
Raw-to-Raw: Mapping between Image Sensor Color Responses.
CVPR
Nguyen Ho Man Rang, Dilip K. Prasad, Michael S. Brown
2014 — conf
Training-Based Spectral Reconstruction from a Single RGB Image.
ECCV (7)
Nguyen Ho Man Rang, Dilip K. Prasad, Michael S. Brown
2013 C conf
Comparison of error bounds for non-parametric dominant point detection.
ICICS
Dilip K. Prasad, Chai Quek
2013 J jnl
ElliFit: An unconstrained, non-iterative, least squares based geometric Ellipse Fitting method.
Pattern Recognit.
Dilip K. Prasad, Maylor K. H. Leung, Chai Quek
2013 J jnl
Geometric primitive feature extraction - concepts, algorithms, and applications
CoRR
Dilip K. Prasad
2013 J jnl
Object Detection in Real Images
CoRR
Dilip K. Prasad
2013 — conf
Quick Approximation of Camera's Spectral Response from Casual Lighting.
ICCV Workshops
Dilip K. Prasad, Rang Ho Man Nguyen, Michael S. Brown
2012 — conf
A Non-heuristic Dominant Point Detection Based on Suppression of Break Points.
ICIAR (1)
Dilip K. Prasad, Chai Quek, Maylor K. H. Leung
2012 — conf
A Precise Ellipse Fitting Method for Noisy Data.
ICIAR (1)
Dilip K. Prasad, Chai Quek, Maylor K. H. Leung
2012 J jnl
A novel framework for making dominant point detection methods non-parametric.
Image Vis. Comput.
Dilip K. Prasad, Maylor K. H. Leung, Chai Quek, Siu-Yeung Cho
2012 J jnl
Edge curvature and convexity based ellipse detection method.
Pattern Recognit.
Dilip K. Prasad, Maylor K. H. Leung, Siu-Yeung Cho
2012 — —
Geometric primitive feature extraction : concepts, algorithms and applications
Dilip K. Prasad
2011 — conf
A parameter independent line fitting method.
ACPR
Dilip K. Prasad, Hiok Chai Quek, Maylor Karhang Leung, Siu-Yeung Cho
2011 C conf
Adaptive traffic signal control system with cloud computing based online learning.
ICICS
Dilip K. Prasad
2011 — conf
An Error Bounded Tangent Estimator for Digitized Elliptic Curves.
DGCI
Dilip K. Prasad, Raj Kumar Gupta, Maylor K. H. Leung
2010 — conf
A hybrid approach for ellipse detection in real images.
ICDIP
Dilip K. Prasad, Maylor K. H. Leung
2010 B conf
Reliability / precision uncertainity in shape fitting problems.
ICIP
Dilip K. Prasad, Maylor K. H. Leung