Posts by Collection

Shipwreck survey

Faulty Trajectory of surveying shipweck

3D OctoMap reconstruction

3D Dynamic OctoMap reconstruction for subsea infrastructure

Leveraging deep learning representation for search-based image annotation

Published in In 2017 Artificial Intelligence and Signal Processing Conference (AISP), 2017

This extended abstract paper is about integrate our feature extractors with 2PKNN (2 pass KNN) approach to obtain relevant tags of an image.

Recommended citation: Kashani, M. M., & Amiri, S. H. (2017, October). " Leveraging deep learning representation for search-based image annotation." In 2017 Artificial Intelligence and Signal Processing Conference (AISP) (pp. 156-161). IEEE. https://ieeexplore.ieee.org/abstract/document/8324073

Scalable Image Annotation by Summarizing Training Samples into Labeled Prototypes

Published in The Quartely Journal of Signal and Data Processing, 2022

This quartely journal paper is about a novel approach to summarize training database (images and their relevant tags) into a small number of prototypes.

Recommended citation: Mohammadi Kashani, M., & Amiri, S. H. (2022). " Scalable Image Annotation by Summarizing Training Samples into Labeled Prototypes." Quarterly Journal of Signal and Data Processing, 18(4), 49-68.. http://jsdp.rcisp.ac.ir/files/site1/user_files_60a4f6/hamid_amiri-A-10-1891-1-1c4f635.pdf

Toward real-time image annotation using marginalized coupled dictionary learning

Published in Journal of Real-Time Image Processing, 2022

This journal paper is about a novel coupled dictionary learning approach is proposed to learn a limited number of visual prototypes and their corresponding semantics simultaneously. This approach leads to a real-time image annotation procedure.

Recommended citation: Roostaiyan, S. M., Hosseini, M. M., Kashani, M. M., & Amiri, S. H. (2022). " Toward real-time image annotation using marginalized coupled dictionary learning." Journal of Real-Time Image Processing, 19(3), 623-638. https://arxiv.org/abs/2304.06907

Belief-based fault recovery for marine robotics

Published in The Eighth Joint Ontology Workshops (JOWO’22),'RobOntics 2022', 2022

This project entitled testing and statistical assessment of plans which is devoted to risk assessment and assistance for plan selection in underwater AI robotics.

Recommended citation: JP Coffelt, MM Kashani, A Wasowski, P Kampmann (2022). "The Eighth Joint Ontology Workshops (JOWO’22), August 15-19, 2022, Jönköping, Sweden, 1(3). https://ceur-ws.org/Vol-3249/paper3-RobOntics.pdf

Reliable Plan Selection with Quantified Risk-Sensitivity

Published in NWPT 2023-34th Nordic Workshop on Programming Theory, 2023

This extended abstract paper is about reliable plan selection for marine robots.

Recommended citation: John, T., Kashani, M. M., Coffelt, J. P., Johnsen, E. B., & Wasowski, A. (2023). "Reliable Plan Selection with Quantified Risk-Sensitivity." In NWPT 2023-34th Nordic Workshop on Programming Theory. https://pure.itu.dk/da/publications/reliable-plan-selection-with-quantified-risk-sensitivity

Risk-averse Planning and Plan Assessment for Marine Robots

Published in IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

This conference paper is about selecting safer plan based on risk-averse planning and plan assessment for underwater robots.

Recommended citation: Kashani, M. M., John, T., Coffelt, J. P., Johnsen, E. B., & Wasowski, A. (2024). "Risk-averse Planning and Plan Assessment for Marine Robots." In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems. https://arxiv.org/abs/2410.01018

Leveraging Deep Learning Representation for search-based Image Annotation

Published: October 17, 2017

This is a conference proceedings talk at Shiraz University. Download Sides Here

CNNs in Cognitive Science and Neural Network Course

Published: April 15, 2018

This is one of the teaching sessions in Cognitive science and Neural Networks (NNs) Course when I was a master student at Shahid Rajaee University. This is about the Convolutional Neural networks (CNN) and how cognitive science connect with NNs. Download Sides Here

Belief-based Fault REcovery for MArine RObotics

Published: June 28, 2022

This project entitled testing and statistical assessment of plans which is devoted to belief-based fault identification and recovery, known as FIR method, for plan selection in underwater AI robotics. Download Sides Here

Reliable Plan Selection with Quantified Risk-Sensitivity

Published: November 23, 2023

This is my presentation under project: Reliable AI for Marine Robotics in the 34th Nordic Workshop on Programming Theory (NWPT’23) in Våsteras, Sweden. Download Slides Here

Mission Assistant of Marine Robots by Encyclopeadic Roadmap

Published: December 05, 2023

This is my miniProject out of the inner of my PhD project about leveraging contextual scenarios from Incident Response Plan (IRP) document using Large Language Modelings (LLMs) with various NLP tasks including but not limited to: QA, Prompt Engineering, NQLI, query entailment. Download Slides Here

Probabilistic Planning Framework for Marine Robots

Published: May 05, 2024

This is my presentation at REMARO workshop, European Joint Conferences on Theory and Practice of Software (ETAPS). The talk is considered as the progress work of my PhD project.

Risk-averse Planning and Plan Assessment for Marine Robots

Published: October 13, 2024

This is my presentation at the 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS’24).