Dilip K. Prasad

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 74

Top Topics

Shape Primitives

Ellipse Detection

Top Venues

Expert Syst. Appl.

IEEE Trans. Intell. Transp. Syst.

Publications

Rohit Agarwal, Arijit Das, Alexander Horsch, Krishna Agarwal, Dilip K. Prasad
Online Learning under Haphazard Input Conditions: A Comprehensive Review and Analysis. CoRR (2024)
Pragyan Banerjee, Shivam Milind Akarte, Prakhar Kumar, Muhammad Shamsuzzaman, Ankit Butola, Krishna Agarwal, Dilip K. Prasad, Frank Melandsø, Anowarul Habib
High-resolution imaging in acoustic microscopy using deep learning. Mach. Learn. Sci. Technol. 5 (1) (2024)
Udbhav Bamba, Neeraj Anand, Saksham Aggarwal, Dilip K. Prasad, Deepak K. Gupta
Partial Binarization of Neural Networks for Budget-Aware Efficient Learning. WACV (2024)
Ronny Paul, Himanshu Buckchash, Shantipriya Parida, Dilip K. Prasad
Towards a More Inclusive AI: Progress and Perspectives in Large Language Model Training for the Sámi Language. CoRR (2024)
Momojit Biswas, Himanshu Buckchash, Dilip K. Prasad
pNNCLR: Stochastic pseudo neighborhoods for contrastive learning based unsupervised representation learning problems. Neurocomputing 593 (2024)
Rohit Agarwal, Aman Sinha, Dilip K. Prasad, Marianne Clausel, Alexander Horsch, Mathieu Constant, Xavier Coubez
Modelling Irregularly Sampled Time Series Without Imputation. CoRR (2023)
Rishabh Tiwari, Arnav Chavan, Deepak 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
RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning. ICCV (Workshops) (2023)
Ayush Singh, Yash Bhambhu, Himanshu Buckchash, Deepak K. Gupta, Dilip K. Prasad
Latent Graph Attention for Enhanced Spatial Context. CoRR (2023)
Abhinanda R. Punnakkal, Suyog S. Jadhav, Alexander Horsch, Krishna Agarwal, Dilip K. Prasad
MiShape: 3D Shape Modelling of Mitochondria in Microscopy. CoRR (2023)
Saksham Aggarwal, Taneesh Gupta, Pawan Kumar Sahu, Arnav Chavan, Rishabh Tiwari, Dilip K. Prasad, Deepak K. Gupta
On Designing Light-Weight Object Trackers Through Network Pruning: Use CNNS or Transformers? ICASSP (2023)
Nirwan Banerjee, Samir Malakar, Deepak Kumar Gupta, Alexander Horsch, Dilip K. Prasad
Guided U-Net Aided Efficient Image Data Storing with Shape Preservation. ACPR (1) (2023)
Rohit Agarwal, Gyanendra Das, Saksham Aggarwal, Alexander Horsch, Dilip K. Prasad
Mabnet: Master Assistant Buddy Network With Hybrid Learning for Image Retrieval. ICASSP (2023)
Rohit Agarwal, Gyanendra Das, Saksham Aggarwal, Alexander Horsch, Dilip K. Prasad
MABNet: Master Assistant Buddy Network with Hybrid Learning for Image Retrieval. CoRR (2023)
Momojit Biswas, Himanshu Buckchash, Dilip K. Prasad
pNNCLR: Stochastic Pseudo Neighborhoods for Contrastive Learning based Unsupervised Representation Learning Problems. CoRR (2023)
Ayush Somani, Pragyan Banerjee, Krishna Agarwal, Manu Rastogi, Dilip K. Prasad, Anowarul Habib
Image Inpainting with Hypergraphs for Resolution Improvement in Scanning Acoustic Microscopy. CVPR Workshops (2023)
Iqra Qasim, Alexander Horsch, Dilip K. Prasad
Dense Video Captioning: A Survey of Techniques, Datasets and Evaluation Protocols. CoRR (2023)
Rohit Agarwal, Deepak K. Gupta, Alexander Horsch, Dilip K. Prasad
Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts. CoRR (2023)
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)
Animesh Gupta, Irtiza Hassan, Dilip K. Prasad, Deepak K. Gupta
Data-Efficient Training of CNNs and Transformers with Coresets: A Stability Perspective. CoRR (2023)
Deepak K. Gupta, Gowreesh Mago, Arnav Chavan, Dilip K. Prasad
Patch Gradient Descent: Training Neural Networks on Very Large Images. CoRR (2023)
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)
Huixu Dong, Jiadong Zhou, Chen Qiu, Dilip K. Prasad, I-Ming Chen
Learning-based Ellipse Detection for Robotic Grasps of Cylinders and Ellipsoids. ICRA (2022)
Zicheng Liu, Mayank Roy, Dilip K. Prasad, Krishna Agarwal
Physics-Guided Loss Functions Improve Deep Learning Performance in Inverse Scattering. IEEE Trans. Computational Imaging 8 (2022)
Xie Chen, Deepu Rajan, Dilip K. Prasad, Chai Quek
An embedded deep fuzzy association model for learning and explanation. Appl. Soft Comput. 131 (2022)
Deepak K. Gupta, Udbhav Bamba, Abhishek Thakur, Akash Gupta, Suraj Sharan, Ertugrul Demir, Dilip K. Prasad
UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images. CoRR (2022)
Jeow Li Huan, Arif Ahmed Sekh, Chai Quek, Dilip K. Prasad
Emotionally charged text classification with deep learning and sentiment semantic. Neural Comput. Appl. 34 (3) (2022)
Saksham Aggarwal, Taneesh Gupta, Pawan Kumar Sahu, Arnav Chavan, Rishabh Tiwari, Dilip K. Prasad, Deepak K. Gupta
On designing light-weight object trackers through network pruning: Use CNNs or transformers? CoRR (2022)
Udbhav Bamba, Neeraj Anand, Dilip K. Prasad, Deepak K. Gupta
MixBin: Towards Budgeted Binarization. CoRR (2022)
Divij Singh, Ayush Somani, Alexander Horsch, Dilip K. Prasad
Counterfactual Explainable Gastrointestinal and Colonoscopy Image Segmentation. ISBI (2022)
Soham Chattopadhyay, Laila Zary, Chai Quek, Dilip K. Prasad
Motivation detection using EEG signal analysis by residual-in-residual convolutional neural network. Expert Syst. Appl. 184 (2021)
Ayush Somani, Arif Ahmed Sekh, Ida Sundvor Opstad, Åsa Birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia, Krishna Agarwal, Dilip K. Prasad, Alexander Horsch
Digital Staining of Mitochondria in Label-free Live-cell Microscopy. Bildverarbeitung für die Medizin (2021)
Seow Wen Jun, Arif Ahmed Sekh, Chai Quek, Dilip K. Prasad
seMLP: Self-evolving Multi-layer Perceptron in Stock Trading Decision Making. SN Comput. Sci. 2 (2) (2021)
Ratnabali Pal, Arif Ahmed Sekh, Debi Prosad Dogra, Samarjit Kar, Partha Pratim Roy, Dilip K. Prasad
Topic-based Video Analysis: A Survey. ACM Comput. Surv. 54 (6) (2021)
Zicheng Liu, Mayank Roy, Dilip K. Prasad, Krishna Agarwal
Physics-guided Loss Functions Improve Deep Learning Performance in Inverse Scattering. CoRR (2021)
Huixu Dong, Dilip K. Prasad, I-Ming Chen
Object Pose Estimation via Pruned Hough Forest With Combined Split Schemes for Robotic Grasp. IEEE Trans Autom. Sci. Eng. 18 (4) (2021)
Feng Liu, Arif Ahmed Sekh, Chai Quek, Geok See Ng, Dilip K. Prasad
RS-HeRR: a rough set-based Hebbian rule reduction neuro-fuzzy system. Neural Comput. Appl. 33 (4) (2021)
Arif Ahmed Sekh, Ida Sundvor Opstad, Gustav Godtliebsen, Åsa Birna Birgisdottir, Balpreet Singh Ahluwalia, Krishna Agarwal, Dilip K. Prasad
Physics-based machine learning for subcellular segmentation in living cells. Nat. Mach. Intell. 3 (12) (2021)
Mohammad Ashrafi, Dilip K. Prasad, Chai Quek
IT2-GSETSK: An evolving interval Type-II TSK fuzzy neural system for online modeling of noisy data. Neurocomputing 407 (2020)
Ratnabali Pal, Arif Ahmed Sekh, Samarjit Kar, Dilip K. Prasad
Neural network based country wise risk prediction of COVID-19. CoRR (2020)
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 (2020)
Sk. Arif Ahmed, Debi Prosad Dogra, Samarjit Kar, Partha Pratim Roy, Dilip K. Prasad
ELM-HTM guided bio-inspired unsupervised learning for anomalous trajectory classification. Cogn. Syst. Res. 63 (2020)
Quah En Zhe, Arif Ahmed Sekh, Chai Quek, Dilip K. Prasad
Recurrent Self-evolving Takagi-Sugeno-Kan Fuzzy Neural Network (RST-FNN) Based Type-2 Diabetic Modeling. IFIP TC12 ICIS (2020)
Ayush Singh, Ajay Bhave, Dilip K. Prasad
Single Image Dehazing for a Variety of Haze Scenarios Using Back Projected Pyramid Network. ECCV Workshops (4) (2020)
Arif Ahmed, Debi Prosad Dogra, Samarjit Kar, Partha Pratim Roy, Dilip K. Prasad
Can we automate diagrammatic reasoning? Pattern Recognit. 106 (2020)
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 (2020)
Dilip K. Prasad, Huixu Dong, Deepu Rajan, Chai Quek
Are Object Detection Assessment Criteria Ready for Maritime Computer Vision? IEEE Trans. Intell. Transp. Syst. 21 (12) (2020)
Arif Ahmed Sekh, Ida Sundvor Opstad, Åsa Birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia, Krishna Agarwal, Dilip K. Prasad
Learning Nanoscale Motion Patterns of Vesicles in Living Cells. CVPR (2020)
Ayush Singh, Ajay Bhave, Dilip K. Prasad
Single image dehazing for a variety of haze scenarios using back projected pyramid network. CoRR (2020)
Sheng Wei Pang, Chai Quek, Dilip K. Prasad
GEMM-eMFIS (FRI/E): A Novel General Episodic Memory Mechanism For Fuzzy Neural Networks. IJCNN (2020)
Somdip Dey, Amit Kumar Singh, Dilip K. Prasad, Klaus D. McDonald-Maier
TMAV: Temporal Motionless Analysis of Video using CNN in MPSoC. CoRR (2019)
Dilip K. Prasad, Chandrashekar Krishna Prasath, Deepu Rajan, Lily Rachmawati, Eshan Rajabally, Chai Quek
Object Detection in a Maritime Environment: Performance Evaluation of Background Subtraction Methods. IEEE Trans. Intell. Transp. Syst. 20 (5) (2019)
Somdip Dey, Amit Kumar Singh, Dilip K. Prasad, Klaus Dieter McDonald-Maier
SoCodeCNN: Program Source Code for Visual CNN Classification Using Computer Vision Methodology. IEEE Access 7 (2019)
Huixu Dong, Ehsan Asadi, Guangbin Sun, Dilip K. Prasad, I-Ming Chen
Real-Time Robotic Manipulation of Cylindrical Objects in Dynamic Scenarios Through Elliptic Shape Primitives. IEEE Trans. Robotics 35 (1) (2019)
Kajal Kansal, A. Venkata Subramanyam, Dilip K. Prasad, Mohan S. Kankanhalli
CARF-Net: CNN attention and RNN fusion network for video-based person reidentification. J. Electronic Imaging 28 (2) (2019)
Gaurav Tripathi, Habib Anowarul, Krishna Agarwal, Dilip K. Prasad
Classification of Micro-Damage in Piezoelectric Ceramics Using Machine Learning of Ultrasound Signals. Sensors 19 (19) (2019)
Sk. Arif Ahmed, Debi Prosad Dogra, Samarjit Kar, Partha Pratim Roy, Dilip K. Prasad
Can We Automate Diagrammatic Reasoning? CoRR (2019)
Aparna Ramesh Iyer, Dilip K. Prasad, Hiok Chai Quek
PIE-RSPOP: A brain-inspired pseudo-incremental ensemble rough set pseudo-outer product fuzzy neural network. Expert Syst. Appl. 95 (2018)
Mangayarkarasi Ramaiah, Dilip K. Prasad
Polygonal approximation of digital planar curve using novel significant measure. CoRR (2018)
Dilip K. Prasad, Shijie Liu, Shen-Hsing Annabel Chen, Chai Quek
Sentiment analysis using EEG activities for suicidology. Expert Syst. Appl. 103 (2018)
Huixu Dong, Chen Qiu, Dilip K. Prasad, Ye Pan, Jiansheng Dai, I-Ming Chen
Enabling Grasp Action: Generalized Evaluation of Grasp Stability via Contact Stiffness from Contact Mechanics Insight. CoRR (2018)
Huixu Dong, Dilip K. Prasad, Qilong Yuan, Jiadong Zhou, Ehsan Asadi, I-Ming Chen
Efficient Pose Estimation from Single RGB-D Image via Hough Forest with Auto-Context. IROS (2018)
Dilip K. Prasad, Deepu Rajan, Chai Quek
Are object detection assessment criteria ready for maritime computer vision? CoRR (2018)
Huixu Dong, Dilip K. Prasad, I-Ming Chen
Accurate detection of ellipses with false detection control at video rates using a gradient analysis. Pattern Recognit. 81 (2018)
Huixu Dong, Guangbin Sun, Wee Ching Pang, Ehsan Asadi, Dilip K. Prasad, I-Ming Chen
Fast Ellipse Detection via Gradient Information for Robotic Manipulation of Cylindrical Objects. IEEE Robotics Autom. Lett. 3 (4) (2018)
Dilip K. Prasad, Chandrashekar Krishna Prasath, Deepu Rajan, Lily Rachmawati, Eshan Rajabally, Chai Quek
Maritime situational awareness using adaptive multi-sensor management under hazy conditions. CoRR (2017)
Huixu Dong, I-Ming Chen, Dilip K. Prasad
Robust ellipse detection via arc segmentation and classification. ICIP (2017)
Dilip K. Prasad, Deepu Rajan, Lily Rachmawati, Eshan Rajabally, Chai Quek
Video Processing From Electro-Optical Sensors for Object Detection and Tracking in a Maritime Environment: A Survey. IEEE Trans. Intell. Transp. Syst. 18 (8) (2017)
Dilip K. Prasad, Deepu Rajan, Chandrashekar Krishna Prasath, Lily Rachmawati, Eshan Rajabally, Chai Quek
MSCM-LiFe: Multi-scale cross modal linear feature for horizon detection in maritime images. CoRR (2017)
Huixu Dong, I-Ming Chen, Dilip K. Prasad
Robust Ellipse Detection via Duality Principle with a False Determination Control. CVIP (2) (2017)
Dilip K. Prasad, Deepu Rajan, Lily Rachmawati, Eshan Rajabally, Chai Quek
Video Processing from Electro-optical Sensors for Object Detection and Tracking in Maritime Environment: A Survey. CoRR (2016)
Dwarikanath Mahapatra, Krishna Agarwal, Reza Khosrowabadi, Dilip K. Prasad
Recent Advances in Statistical Data and Signal Analysis: Application to Real World Diagnostics from Medical and Biological Signals. Comput. Math. Methods Medicine 2016 (2016)
Dilip K. Prasad
Strategies for Resolving Camera Metamers Using 3+1 Channel. CVPR Workshops (2016)
Dilip K. Prasad, Krishna Agarwal
Classification of Hyperspectral or Trichromatic Measurements of Ocean Color Data into Spectral Classes. Sensors 16 (3) (2016)
Dilip K. Prasad, Chandrashekar Krishna Prasath, Deepu Rajan, Lily Rachmawati, Eshan Rajabally, Chai Quek
Challenges in video based object detection in maritime scenario using computer vision. CoRR (2016)
Ranjan Das, Dilip K. Prasad
Prediction of porosity and thermal diffusivity in a porous fin using differential evolution algorithm. Swarm Evol. Comput. 23 (2015)
Dilip K. Prasad, Maylor K. H. Leung, Chai Quek, Michael S. Brown
DEB: Definite Error Bounded Tangent Estimator for Digital Curves. IEEE Trans. Image Process. 23 (10) (2014)
Nguyen Ho Man Rang, Dilip K. Prasad, Michael S. Brown
Training-Based Spectral Reconstruction from a Single RGB Image. ECCV (7) (2014)
Nguyen Ho Man Rang, Dilip K. Prasad, Michael S. Brown
Raw-to-Raw: Mapping between Image Sensor Color Responses. CVPR (2014)
Dilip K. Prasad, Chai Quek
Comparison of error bounds for non-parametric dominant point detection. ICICS (2013)
Dilip K. Prasad, Maylor K. H. Leung, Chai Quek
ElliFit: An unconstrained, non-iterative, least squares based geometric Ellipse Fitting method. Pattern Recognit. 46 (5) (2013)
Dilip K. Prasad
Object Detection in Real Images CoRR (2013)
Dilip K. Prasad
Geometric primitive feature extraction - concepts, algorithms, and applications CoRR (2013)
Dilip K. Prasad, Rang Ho Man Nguyen, Michael S. Brown
Quick Approximation of Camera's Spectral Response from Casual Lighting. ICCV Workshops (2013)
Dilip K. Prasad, Chai Quek, Maylor K. H. Leung
A Non-heuristic Dominant Point Detection Based on Suppression of Break Points. ICIAR (1) (2012)
Dilip K. Prasad, Maylor K. H. Leung, Siu-Yeung Cho
Edge curvature and convexity based ellipse detection method. Pattern Recognit. 45 (9) (2012)
Dilip K. Prasad, Maylor K. H. Leung, Chai Quek, Siu-Yeung Cho
A novel framework for making dominant point detection methods non-parametric. Image Vis. Comput. 30 (11) (2012)
Dilip K. Prasad, Chai Quek, Maylor K. H. Leung
A Precise Ellipse Fitting Method for Noisy Data. ICIAR (1) (2012)
Dilip K. Prasad
Adaptive traffic signal control system with cloud computing based online learning. ICICS (2011)
Dilip K. Prasad, Hiok Chai Quek, Maylor Karhang Leung, Siu-Yeung Cho
A parameter independent line fitting method. ACPR (2011)
Dilip K. Prasad, Raj Kumar Gupta, Maylor K. H. Leung
An Error Bounded Tangent Estimator for Digitized Elliptic Curves. DGCI (2011)
Dilip K. Prasad, Maylor K. H. Leung
A hybrid approach for ellipse detection in real images. ICDIP (2010)
Dilip K. Prasad, Maylor K. H. Leung
Reliability / precision uncertainity in shape fitting problems. ICIP (2010)