Tamon Kondo
M2
学歴・経歴
2018年3月 都立八王子東高校卒業
2023年3月 東京工芸大学 工学部情報コース卒業
2023年4月 東京工芸大学大学院 工学研究科工学専攻
研究キーワード
人工知能、深層学習、コンピュータビジョン、日本手話、変化点検出
自己紹介
中学2年生の頃、悪友の誘いでパソコンの世界に足を踏み入れる。
サブカルにのめり込み、クラスでは「少しパソコンができるやつ」というポジションに落ち着く。
クラスや生徒会では行事の映像編集を任され、それがきっかけで自分の進む道を決意。
高校では高専を希望するも親に反対され、普通科に進学。剣道部と学業の両立を目指すもサボり癖が災いし、最終的にメンタルを崩す。
一年間の浪人を経て東京工芸大学に進学。
大学1年生の時に現在の恩師と出会い、画像処理研究への興味を抱く。
(この年、特待生に選出)
2、3年生の頃はコロナ禍でアルバイト中心の生活となり、成績がやや低下するものの希望の研究室に配属。
4年生ではVR環境での文字入力に関心を持ち、手話や指文字の研究を開始。
修士1年生では深層学習を用いた認識に挑戦し、その成果を携えて海外で発表。
修士2年生では単語の認識に取り組みながら、苦戦しつつも研究を進めている。
Academic Background and Career History
March 2018 Graduated from Tokyo Metropolitan Hachioji Higashi High School
March 2023 Graduated from Tokyo Polytechnic University, Faculty of Engineering, Information Course
April 2023 Graduate School of Engineering, Tokyo Polytechnic University
Research Keywords.
Artificial Intelligence, Deep Learning, Computer Vision, Japanese Sign Language, Change Point Detection
Self Introduction
When I was in the second grade of junior high school, I entered the world of computers at the invitation of a bad friend.
He became absorbed in the subculture and settled into the position of “the guy who can use a computer a little” in his class.
In class and in the student council, he was entrusted with editing videos of events, which led him to decide on his own career path.
In high school, he wanted to study at a technical college, but his parents were against it, so he went on to a regular course. He tried to balance his studies with his kendo club, but his habit of slacking off led to a mental breakdown.
After a year of ronin, he entered Tokyo Polytechnic University.
In his first year of college, he met his current mentor and developed an interest in image processing research.
(he was selected as a special student that year)
In his second and third years, his life centered on part-time work at Corona Disaster, and although his grades declined somewhat, he was assigned to the laboratory of his choice.
In his senior year, he became interested in text input in a VR environment and began research on sign language and fingerprinting.
In his first year of master's studies, he took on the challenge of recognition using deep learning and presented his results abroad.
In his second year of master's studies, he is working on word recognition while struggling with his research.
