Visual Intelligence Laboratory

Welcome to the Visual Intelligence Laboratory (VI-Lab) Webpage. My name is Thanapong Intharah. I am an assistant professor at the Department of Statistics, Khon Kaen University (KKU). I am the director of VI-Lab which works on applying Machine Learning and Computer Vision to solve real world problems. Many of our projects were spun off as commercialized products: AI for CCTV and AI for Health .

I did my PhD at UCL under supervision of Professor Gabriel Brostow. At UCL, I had been working on using Computer Vision to improve Programming by Demonstration, Learning to Automate GUI Tasks from Demonstration (project page). Before joining KKU, I have founded a Deep Tech startup, TinyEpicBrains, where we work on invisible QR code. Currently, I am interested in Computer Vision for 3D data, video data and applications of AI in Healthcare. I am also working on AI enhanced hardwares such as a differential dynamic microscopy and smart-glasses.

profile photo

Thanapong Intharah, Ph.D.

Linkedin / Google Scholar

VI-Lab Research Highlight

Visual domains such as Medical Imaging and Video Analysis are our expertise, but we also worked on Chatbot, NLP, and other Machine Learning domains. The following are list of selected research projects.

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AI for Rheology
(2023-24) Kannika Wiratchawa, Touchwin Petiwathayakorn, Somdet Srichairatanakool, Pimpisid Koonyosying, Ungkarn Jarujareet and Thanapong Intharah

We propose techniques for integrating image structure-function images called ISFI for training deep learning models.

project page / publication (ITC-CSCC2024)
AI Enhanched Micro-Rheology
(2022-23) Ungkarn Jarujareet, Kannika Wiratchawa , Piyaphong Panpisut, Thanapong Intharah [PMU-B Grant (B05F650016)]

We proposed A DDM device that is enhanced by Deep Frame Interplation Networks.

project page / publication

Ultrasonography Image Analysis of Human Biliary Tract (BiTNet)
(2020-23) Thanapong Intharah Yupaporn Wanna, Kannika Wiratchawa Prem Junsawang, Anchalee Techasen, Arunnit Boonrod, Attapol Titapun, Vallop Loapaiboon, Nittaya Chamadol, Narong Khuntikeo [1st runner-up: National Innovation Awards 2021(Service Design Category)] [Merit: Thailand ICT Awards 2023 (Inclusion and Community Service)] [Merit: NRCT Invention Awards 2023 (ICT)] [Silver ASEAN Digital Awards 2024 (Digital Innovation)]

We developed an AI to assist doctors and radiologists in diagnosing abnormalities in human upper abdominal through ultrasound image.

project page / publication

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OV-RDT platform: Intelligent Platform for OV Screening and Strategic Management
(2021-23) Thanapong Intharah Yupaporn Wanna , Kannika Wiratchawa , Prem Junsawang , Anchalee Techasen , Chanika Worasith , Paiboon Sithithaworn and Narong Khuntikeo [Honorable Mention : NRCT Invention Awards 2023]

The OV-RDT platform consists of a mobile app, AI agents, and a dashboard. The mobile app captures and detects OV-RDT test kits via smartphone cameras. AI ensures image quality and identifies Opisthorchiasis presence and severity. Data, including AI diagnostics, are stored and displayed on a dashboard for analysis in epidemiology and patient screening progress.

project page
DENTAI: Deep Age and Sex Estimation via Panoramic Radiograph
(2024) Natthanich Hirunchavarod, Pornnakanok Phuphatham, Narawit Prathansap and Thanapong Intharah

Utilizing deep learning techniques, our project enhances dental care planning by accurately estimating age and gender from panoramic radiographs. Achieving 87.38% gender prediction accuracy and 1.96 years' age estimation error, it offers early diagnosis and forensic applications while ensuring model interpretability.

project page / publication (ISBI2024)
Valolyze
(2024) Nattakon Puangkaew, Thanapat Sopon and Thanapong Intharah

Valolyze: A Valorant gameplay analytics. Valolyze enables comprehensive analysis of Valorant gameplay from video recordings, empowering players and researchers alike in their quest for mastery and insights.

project page
KKU Herbarium in Metaverse
(2023) Sitthatka Jarussang, Thanik Pimpiban and Thanapong Intharah

The KKU Herbarium Metaverse is a virtual simulation of the physical herbarium, offering a way to disseminate knowledge about plant diversity to a wider audience through an interactive platform that can display unlimited exhibition spaces and models of flowers regardless of the season, using photogrammetry techniques to create 3D models.

project page / Metaverse
Learning to Estimate Surface Area of Plant Carbon by Harvesting Scientific Journal Databases
(2023) Kittikhun Kiattisaksiri, Chayakon Chanlun and Thanapong Intharah [Final round: NSC 2023]

The development of a machine learning model for estimating the specific surface area (BET surface area) of carbon from plants using Scanning Electron Microscopy (SEM) images through deep learning is now available as a web application for predicting the BET surface area value, aiding in the use of renewable energy storage devices.

project page / publication / paper lists
Human Age Estimation Through Panoramic Radiograph Images With Deep Neural Network
(2023) Wanita Somdej, Athitiya Thamavongsa and Thanapong Intharah [Honorable Mention: NSC 2023]

A system for determining human age from panoramic radiographs has been developed using deep learning techniques, resulting in a web application that is faster, more accurate, and reduces dental errors in diagnostic planning, dental and orthodontic treatment, and forensic identification.

project page / publication
3D Model Voxelization
(2023) Jittakorn Chanthasi, Naruemon Saisophon and Thanapong Intharah

We developed a web application that converts 3D models into voxel models with texture colors based on the color of the input models, for use in platforms such as game assets and non-fungible tokens (NFTs), providing the benefit of having voxel models with the same texture color as the input model.

project page
Car Part Prediction and Damage Estimation with a Single Image
(2023) Supidchaya Tangkidwanich, Umaporn Kamphichai and Thanapong Intharah

We developed a web application for estimating car parts and their damage level using deep learning.

project page
Dual Image QR Codes: The Best of Both Worlds
(2022) Chakrit Kammason and Thanapong Intharah

In this work, we propose dual image QR codes that aim to improve QR code capacity and appearance while preserving the ability to be able to scan by standard QR code readers.

project page / publication
Training Deep CNN’s to Detect Prostate Cancer Lesion with Small Training Data
(2022) Kannika Wiratchawa, Yupaporn Wanna, Sirirat Cha-in, Chalida Aphinives, Potchavit Aphinives, Thanapong Intharah

This work focused on detecting prostate cancer lesions in MRI images where the size of the dataset is comparatively small.

project page / publication

Auto Insurance Claim System Using 3D Modeling Techniques
(2022) Kroravit Tharangsri, Thanapon Tayotee, Thanadol Chainet, Pharamut Markjarun, Thanapong Intharah

In this work, we developed an end-to-end car damage estimation system via mobile camera. To estimate the damage, we first build 3D models of a car with images from a mobile camera and compared the model through CNN.

part1: 3D model reconstruction / part2: Compare 3D Models

Mobile Application for Intelligent Dental Shade Matching
(2022) Waraporn Sittiwong, Rattaporn Leenaracharoongruang, Thanapong Intharah [Silver medal: Thailand Research Expo 2022]

We proposed a new method to estimate shade of the denture with a mobile phone camera through the power of machine learning.

report / code / publication

Development of NLP Dataset and Machine Leaning Model for Identifying Type of Law of Post in Legal Webboard
(2021) Kannika Wiratchawa, Tanutcha Khunthong, Thanapong Intharah [Silver medal: YRSS Award 2021]

Tagging questions according to their topics is useful for internet forum management. In this work, we use the Bidirectional Encoder Representations from Transformers (BERT) model to categorize posts from Thai legal internet forums.

report / video / dataset / code

3D Model Reconstruction of Tooth For Practicing Tooth Restorative Skill Using Photogrammetry Technique
(2021) Phornpirom Lojarat, Thachamin siangeung, Supanita Daduan, Piyaphong Panpisut, Thanapong Intharah [Honorable Mention: NSC 2021] [Finalists Startup Thailand League 2021]

We applied Photogrammetry technique to build models of plastic tooth to help dental students pratice Prosthodontics.

report / video / dataset / code

Detecting Human with Concealed Gun by Learning from YouTube's CCTV Videos
(2020) Yupaporn Wanna, Pimonpun Chachomphon, Haemwaan Sivarakst, Thanapong Intharah [2nd place: NSC 2020] [1st place: Priminister Digital Award 2020]
(2021) Phattarawat Jaitiang, Nattharit Sawetwaranont, Thanapong Intharah

We developed a dataset by scraping from YouTube and manually annotated them. We then train an AI to detect persons who concealed when they entered the scene.

project page / dataset

Parasite Learning about Medically Important Parasite Eggs with Chatbot
(2020) Chanikan Phadungkit, Siriwan Thanachitboon, Anchalee Techasen, Thanapong Intharah [Final round: NSC 2020] [Bronze medal: YRSS Award 2020]
(2021) Jantraphon Somsuay, Mutita Butakhiaw, Yaowaluk Sompong, Anchalee Techasen, Thanapong Intharah [Final round: NSC 2021]

We developed a chatbot to help associated medical science students learn about 7 medically important parasite eggs.

report / video / dataset / code

Cover Dance Video Evaluation and a Cover Dance Dataset
(2020) Sirirat Cha-in, Pakinee Kriamthaisong, Nattachai Watcharapinchai, Sitapa Rujikietgumjorn, Thanapong Intharah

We developed a korean cover dance dataset and a pose evaluation technique to evaluate dance imitation score


report / dataset / code

VI-Lab Members

Current
Thanapong Intharah, Ph.D.  Principal Investigator
Yupaporn Wanna  Research Assistant
Kannika Wiratchawa  Research Assistant
Pharamut Markjarun  Research Assistant
Natthanich Hirunchavarod  Research Assistant

Alumni
Yupaporn Wanna (BSc 2020),  Pimonpun Chachomphon (BSc 2020),  Sirirat Cha-in (BSc 2020),  Pakinee Kriamthaisong (BSc 2020),  Chanikan Phadungkit (BSc 2020),  Siriwan Thanachitboon (BSc 2020),  Thitiya Thanjai (BSc 2020),  Thepdumrong jaisue (BSc 2020),  Chunchila Sanguanram (BSc 2020),  Chadaporn Sontaikaew (BSc 2020),  Jarupa Buapa (BSc 2020),  Pannathon Sararat (BSc 2020),  Kannika Wiratchawa (BSc 2021),  Phornpirom Lojarat (BSc 2021),  Thachamin siangeung (BSc 2021),  Phattarawat Jaitiang (BSc 2021),  Nattharit Sawetwaranont (BSc 2021),  Jantraphon Somsuay (BSc 2021),  Mutita Butakhiaw (BSc 2021),  Kroravit Tharangsri (BSc 2022),  Thanapon Tayotee (BSc 2022),  Thanadol Chainet (BSc 2022),  Pharamut Markjarun (BSc 2022),  Waraporn Sittiwong (BSc 2022),  Rattaporn Leenaracharoongruang (BSc 2022),  Chakrit Kammason (MSc 2023),  Sitthatka Jarussang (BSc 2023),  Thanik Pimpiban (BSc 2023),  Kittikhun Kiattisaksiri (BSc 2023),  Chayakon Chanlun (BSc 2023),  Wanita Somdej (BSc 2023),  Athitiya Thamavongsa (BSc 2023),  Jittakorn Chanthasi (BSc 2023),  Naruemon Saisophon (BSc 2023),  Supidchaya Tangkidwanich (BSc 2023),  Umaporn Kamphichai (BSc 2023),  Nutsuda Penpong (MSc 2023),  Nattakon Puangkaew (BSc 2024),  Thanapat Sopon (BSc 2024),  Natthanich Hirunchavarod (BSc 2024),  Pornnakanok Phuphatham (BSc 2024),  Narawit Prathansap (BSc 2024), Yupaporn Wanna (MSc 2024),  Kannika Wiratchawa (MSc 2024), ...  .....


Editted from the template of: Jon Barron, Last update: Jan 2021.