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about me madhawa vidanapathirana madhawa vidanapathirana madhawa vidanapathirana software engineering at sanctuary ai ex microsoft follow vancouver canada linkedin github google scholar orcid about me hi i am madhawa from the machine learning production engineering team of sanctuary ai previously i worked as an sde ii at microsoft mixed reality i graduated from simon fraser university with an m sc in computing science my thesis project plan2scene introduced a novel method to create 3d scenes of interiors using floorplans and photos this work was supervised by dr manolis savva dr angel chang and dr yasutaka furukawa and published at cvpr 2021 i was attached to the gruvi lab of sfu and my studies were supported by a graduate fellowship and a graduate research assistantship previously i worked as a software engineer in the machine learning and data science team of codegen international i did my bachelor s in computer science and engineering from the university of moratuwa sri lanka in parallel i performed well in several programming and product innovation competitions such as google summer of code microsoft imagine cup and ieeextreme news 2023 march i joined the machine learning production engineering team of sanctuary ai 2021 december i joined the microsoft mixed reality team 2021 september i graduated with an m sc in computing science from simon fraser university 2021 june presented our work plan2scene at cvpr 2021 2021 march my research paper plan2scene is accepted to cvpr 2021 awards grants and competitions sfu computing science graduate fellowship fall 2019 best paper award finalist top 3 30th international conference on computer applications in industry and engineering caine 2017 california u s a microsoft imagine cup 2017 national level finalist sri lanka for product travelsphere a vr based mobile app made for travel enthusiasts microsoft imagine cup 2016 word citizenship category national level runners up sri lanka for developing a vr based solution for phobia treatments google summer of code 2017 certificate of completion for project pysiddhi with wso2 ieeextreme programming competition year 2017 global rank 160 top 6 3 and country rank 7 top 2 9 year 2016 global rank 197 top 9 2 and country rank 8 top 2 6 year 2015 global rank 162 top 6 5 and country rank 10 top 3 8 year 2014 global rank 146 top 7 7 and country rank 10 top 5 5 university of moratuwa ibm engineering scholarship for the undergraduate student with highest semester gpa semesters 3 and 4 university of moratuwa department of cse award for the undergraduate student with highest semester gpa semesters 2 and 3 university of moratuwa virtusa award for the student with highest marks for software engineering semester project see more research plan2scene converting floorplans to 3d scenes cvpr 2021 abstract we address the task of converting a floorplan and a set of associated photos of a residence into a textured 3d mesh model a task which we call plan2scene our system 1 lifts a floorplan image to a 3d mesh model 2 synthesizes surface textures based on the input photos and 3 infers textures for unobserved surfaces using a graph neural network architecture to train and evaluate our system we create indoor surface texture datasets and augment a dataset of floorplans and photos from prior work with rectified surface crops and additional annotations our approach handles the challenge of producing tileable textures for dominant surfaces such as floors walls and ceilings from a sparse set of unaligned photos that only partially cover the residence qualitative and quantitative evaluations show that our system produces realistic 3d interior models outperforming baseline approaches on a suite of texture quality metrics and as measured by a holistic user study project page accelerated human pose estimation february 2019 september 2019 optical flow based frame rate enhancement for arbitrary 2d human pose estimators in a time delayed real time fashion introduces a pose tracking solution as a by product extensive testing on the openpose human pose estimator a reduction in error of 30 35 at practical frame rates improvements of up to 50 in resource constrained environments on field testing of the real time system processing front office surveillance video of a banking environment journal paper live sense real time human analytics using multiple camera feeds january 2017 december 2017 undergraduate research project university of moratuwa generates floor mapped analytics on movements of people in an environment monitored by a surveillance camera network world space analytics via homography improved accuracy if multi view cues are available aggregated and individual level analytics via re identification and tracking demo video paper real time pedestrian mapping from camera view to world space paper open set person re identification framework on closed set re id systems open source projects yolo3 4 py april 2018 present self initiated hobbyist project a python wrapper on vanila yolo 3 0 implementation in darknet a fast light weight python wrapper on yolo 3 0 object detector which the authors have implemented on darknet c machine learning library this project has 500 stars and 150 forks on github supports rapid conversion of numpy arrays to darknet compatible formats 7 additional overhead on hd resolution google colab demo github pypi pysiddhi may 2017 august 2017 google summer of code collaborative project with wso2 python wrapper on siddhi streaming analytics java library initiated pysiddhi a python wrapper on wso2 siddhi streaming analytics java library interconnection of two platforms using java native interface and python native interface this was a collaborative project with wso2 under the google summer of code 2017 program gsoc archive github work log publications vidanapathirana m wu q furukawa y chang a and savva m plan2scene converting floorplans to 3d scenes in ieee cvf conference on computer vision and pattern recognition cvpr june 2021 project page pre print vidanapathirana m sudasingha i vidanapathirana j kanchana p and perera i 2019 tracking and frame rate enhancement for real time 2d human pose estimation the visual computer 36 2020 1501 1519 link pre print vidanapathirana m meegahapola l b and perera i 2017 cognitive analysis of 360 degree surround photos in 2017 future technologies conference ftc link vidanapathirana m sudasingha i kanchana p vidanapathirana j and perera i 2017 open set person re identification framework on closed set re id systems in 2017 ieee international conference on signal and image processing icsip link pre print vidanapathirana m meegahapola l b and perera i 2017 optimizing cognitive analysis sensitivity of photospheres using cube maps in 2017 ieee international conference on signal and image processing icsip link pre print meegahapola l b vidanapathirana m and perera i 2017 intelligent digital signage platform for targeted advertising in 30th international conference on computer applications in industry and engineering caine 2017 pre print vidanapathirana m sudasingha i kanchana p vidanapathirana j and perera i 2017 real time pedestrian mapping from camera view to world space in 2017 ieee 12th international conference on industrial and information systems iciis link pre print hobbyist projects balance it space 2012 2013 1000 downloads on google play this started as a pet project i did to learn android opengl and accelerometer sensors i was able to extend that work to a published game in the google play store some key learnings from this projects targetting to a wide device range with different performance and screen specifications it supported low spec devices such as the samsung galaxy y while providing an improved experience to high end device users e g galaxy s3 dealing with lags introduced by intermittent java gc calls google analytics and behavior of playstore it reached 1000 downloads back in 2014 fragment shaders vertex shaders and opengl es 2 0 google play listing demo video follow github feed 2023 madhawa vidanapathirana powered by jekyll academicpages a fork of minimal mistakes