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國立臺北科技大學
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李慕全(MuChuan Li)

        畢業於國立臺北科技大學資工所，研究領域為深度學習、電腦視覺、及影像處理。在學期間致力於應用電腦視覺技術解決交通問題，擁有多項產學合作的專案開發經驗，亦在電腦視覺領域中發表過多篇學術論文，主要研究主題包含物件偵測，多物件追蹤。熱衷於探索新事物並與團隊合作解決技術難題，將想法落地為產品。

         

  : [email protected]

工作經驗

Service Provider  •  Taron Solutions Limited

五月 2023 - 十月 2023

數據搜集及資料預處理：

• 開發爬蟲系統：使用者只需設定關鍵字即可自動爬取各大醫學論文網站當今的文章，爬取網站包含：PubMed、Google Patent、Internet Archive Scholar。

• 資料清理：將文章內容依照公司標準做整理，並新增數據至公司資料庫。

技術：Python、Beautiful Soup、Selenium、Prompt Engineering、MySQL

微算機系統實習 課程助教  •  國立臺北科技大學(National Taipei University of Technology, Taipei Tech)

二月 2022 - 七月 2022

• 設計課程內容並提供同學作業及專案實作輔助。課程內容為實作網頁介面，並應用NVIDIA tx2嵌入式系統搭配感測器實際打造物聯網系統。

技術：物聯網、Linux、Nodejs、Qt

計畫研究員  •  台中榮民總醫院

二月 2020 - 七月 2020

• 開發x光片器官辨識系統，透過分類模型判斷所拍攝的器官是否符合醫生要求，系統正確率高達96%。

技術：TensorFlow、Google Inception v3

運算思維與程式設計 課程助教  •  東海大學 Tunghai University

九月 2018 - 七月 2020

• 協助修課同學培養程式設計邏輯，並實作C/C++及java基礎程式。

技術：C/C++、Java

產品開發兼共同創辦人  •  宏謐科技有限公司(Homie)

三月 2019 - 七月 2019

• 開發Homie-lock智慧加裝裝置。

• 獲得創新創業教育計畫的 10 萬新台幣贊助。

• 參加 Acer 龍騰微笑智聯網在 800 多參賽隊伍中入選 12 強決賽。

技術：物聯網、Raspberry Pi、Linux、Python、SolidWorks

專案開發經驗

智慧交通路側重辨識系統

實驗室產學合作案(資策會)

在台北市路口架設攝影機捕捉路況，透過偵測模型及追蹤模型捕捉各物件的序列影像，並使用特徵提取模型對該影像提取物件特徵，最終將資訊存於資料庫中。

技術：YOLOv4、DeepSort、DGNet

車周物件追蹤系統

實驗室產學合作案(義隆電子)

自駕車系統必須依據車周資訊決定車輛行為。透過在車體四周加裝攝影機並搭載物件偵測及追蹤模型，可使車體更了解周圍路況，以此做出後續決策。

技術：YOLOR、Bytetrack

大客車內輪差區域交通物件警報系統

實驗室產學合作案(義隆電子)

大型車在轉彎時，前後輪會造成巨大內輪差，而該區域亦為視野盲區，因此需要警報系統提醒駕駛者。透過大客車的前後輪距離計算內輪差區域，並透過加裝鏡頭結合物件偵測技術實現此系統。

技術：YOLOv7

Homielock智慧加裝裝置

宏謐科技有限公司(Homie)

本團隊開發一款HomiLock智慧加裝裝置，只需將本產品固定於RFID電子鎖的感應區，就能實現手機開鎖的功能。可應用於使用RFID電子鎖的旅宿業者，以最低的成本升級成智慧鎖，實現智慧旅宿的願景。

技術：物聯網、Raspberry Pi、Python、SolidWorks

以增強實例特徵學習實現高準確度多物件追蹤模型

碩士畢業論文

將物件偵測與追蹤兩階段模型改為一多任務模型，並加強實例特徵學習方法，採用soft label的label assignment策略，選取盡可能多的有效正樣本當作實例特徵。同時改良實例特徵訓練損失函數，確保樣本最大化被訓練。

技術：JDE、FairMOT、YOLOv7

結合邊緣計算及害蟲影像識別之智慧溫室監控系統

大學畢業專題

監控系統透過各式感測器測量溫室環境資訊，依據數據自動控制設備運作，也可由網頁與手機App觀察及控制溫室設備。害蟲影像辨識系統之硬體使用Raspberry pi4搭載Neural compute stick2。由於邊緣端硬體條件不佳，團隊使用OpenVINO將訓練完的辨識模型優化，加速邊緣端推論速度。

技術：物聯網、Tensorflow、OpenVINO

應用金融文章分析股市漲跌

課程專案

應用爬蟲工具(Beautifulsoup)抓取金融新聞，將繁體文章標題與內文透過語言轉換工具(opencc)轉為簡體，最終使用情感分析工具(snownlp)進行股市漲跌分析。

技術：NLP、Beautifulsoup、opencc、snownlp、Matplotlib

台灣景氣指標預測模型

side project

使用深度學習框架(Pytorch)自行搭建預測模型，以各式台灣景氣指標當作輸入，輸出未來經濟景氣趨勢階段。

技術：Pytorch、Pandas、Numpy、Sklearn

論文發表

• Chen, X. Z., Li, M. C., & Chen, Y. L. (2024, January). Strategies for Helping Anchor-Based Trackers Learn re-ID Features for Smart City Surveillance. In 2024 IEEE International Conference on Consumer Electronics (ICCE) (pp. 1-2). IEEE.

• Li, M. C., Chen, X. Z., & Chen, Y. L. (2023, July). Unified Object Detection Model for Image Style Convertible Modalities. In 2023 International Conference on Consumer Electronics-Taiwan (ICCE- Taiwan) (pp. 721-722). IEEE.

• Chen, X. Z., Peng, C., Li, M. C., & Chen, Y. L. (2022, April). Vehicle re-identification system for road side unit application. In International Workshop on Advanced Imaging Technology (IWAIT) 2022 (Vol. 12177, pp. 172-177). SPIE.

證書

Fundamentals of Deep Learning for Computer Vision - NVIDIA

物件偵測專題實作班 - 台灣人工智慧學校

學歷

國立臺北科技大學 碩士

資訊工程所  •  2021 - 2023 ・3.85/4 GPA

畢業論文：以增強實例特徵學習實現高準確度多物件追蹤模型

研究領域：物件偵測、多物件追蹤、物件重辨識。

東海大學 學士

資訊工程  •  2016 - 2020

畢業專題：結合邊緣計算及害蟲影像識別之智慧溫室監控系統 (畢業專題競賽第三名)。

課外經驗：

  • AIESEC國際經濟商管學生會 - Marketing Member (2016/09-2017/07)
  • 東海大學資訊工程學系學會 - 公關長 (2017/09-2018/07)
  • 東海大學國際處 - 國際志工 (2019/09-2020/07)
  • 東海大學資訊工程學系 - 畢業生致詞代表 (2020/07)

碩士課程

機器學習

從數學統計角度學習機器學習背後的運作原理。內容包含：supervised learning、decision tree、optimization、back propagation、loss value、model estimation、dimension reduction...等數學推導。

技術：機率統計、線性代數

高等電腦視覺

使用C/C++手刻及使用OpenCV套件對影像進行處理，內容包含：Mathematical morphology、Image stitching、Stereo Correspondence、以及3D Reconstruction(SLAM)...等技術實作。

技術：C/C++、OpenCV、電腦視覺、影像處理

嵌入式智慧影像分析與實境介面

透過軌道競速和自動避障兩個專案實作，實際打造自走車。從搜集自走車影像，到資料清理與擴增，並以此訓練各式深度學習模型，最終將模型輕量化後放置邊緣端的NVIDIA JetBot自走車上。

技術：Linux、影像處理、物件偵測(YOLOv4-tiny)、Reinforcement Learning (DQN)、模型輕量化(TensorRT)

樣式導向軟體設計

從Design Pattern的角度實際開發系統，透過開發過程更深瞭解物件導向以及Pattern的使用方式。

技術：C/C++、單元測試(GoogleTest)、Design Pattern、TDD、OOP

軟體工程

搭建專案管理系統，透過網頁來串接Github、Sonarqube、Jenkins，Trello等輔助專案開發工具，並以Plan-driven及敏捷開發(Scrum)的方式去完成此專案。過程中，也透過撰寫PEP及SRS專案開發文件演練軟體工程師的團隊開發過程。

技術：JAVA、Angular、Node.js、MySQL

電腦動畫

搭建網頁，並在網頁上呈現建模後的虛擬人物。

技術：HTML、CSS、JavaScript、Unity

技能

  • Machine Learning
  • Computer Vision
  • Pytorch/Tensorflow
  • OpenCV
  • C/C++ (OOP)
  • Linux

語言

  • Chinese — 母語或雙語
  • English — 進階
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李慕全(MuChuan Li)

        畢業於國立臺北科技大學資工所，研究領域為深度學習、電腦視覺、及影像處理。在學期間致力於應用電腦視覺技術解決交通問題，擁有多項產學合作的專案開發經驗，亦在電腦視覺領域中發表過多篇學術論文，主要研究主題包含物件偵測，多物件追蹤。熱衷於探索新事物並與團隊合作解決技術難題，將想法落地為產品。

         

  : [email protected]

工作經驗

Service Provider  •  Taron Solutions Limited

五月 2023 - 十月 2023

數據搜集及資料預處理：

• 開發爬蟲系統：使用者只需設定關鍵字即可自動爬取各大醫學論文網站當今的文章，爬取網站包含：PubMed、Google Patent、Internet Archive Scholar。

• 資料清理：將文章內容依照公司標準做整理，並新增數據至公司資料庫。

技術：Python、Beautiful Soup、Selenium、Prompt Engineering、MySQL

微算機系統實習 課程助教  •  國立臺北科技大學(National Taipei University of Technology, Taipei Tech)

二月 2022 - 七月 2022

• 設計課程內容並提供同學作業及專案實作輔助。課程內容為實作網頁介面，並應用NVIDIA tx2嵌入式系統搭配感測器實際打造物聯網系統。

技術：物聯網、Linux、Nodejs、Qt

計畫研究員  •  台中榮民總醫院

二月 2020 - 七月 2020

• 開發x光片器官辨識系統，透過分類模型判斷所拍攝的器官是否符合醫生要求，系統正確率高達96%。

技術：TensorFlow、Google Inception v3

運算思維與程式設計 課程助教  •  東海大學 Tunghai University

九月 2018 - 七月 2020

• 協助修課同學培養程式設計邏輯，並實作C/C++及java基礎程式。

技術：C/C++、Java

產品開發兼共同創辦人  •  宏謐科技有限公司(Homie)

三月 2019 - 七月 2019

• 開發Homie-lock智慧加裝裝置。

• 獲得創新創業教育計畫的 10 萬新台幣贊助。

• 參加 Acer 龍騰微笑智聯網在 800 多參賽隊伍中入選 12 強決賽。

技術：物聯網、Raspberry Pi、Linux、Python、SolidWorks

專案開發經驗

智慧交通路側重辨識系統

實驗室產學合作案(資策會)

在台北市路口架設攝影機捕捉路況，透過偵測模型及追蹤模型捕捉各物件的序列影像，並使用特徵提取模型對該影像提取物件特徵，最終將資訊存於資料庫中。

技術：YOLOv4、DeepSort、DGNet

車周物件追蹤系統

實驗室產學合作案(義隆電子)

自駕車系統必須依據車周資訊決定車輛行為。透過在車體四周加裝攝影機並搭載物件偵測及追蹤模型，可使車體更了解周圍路況，以此做出後續決策。

技術：YOLOR、Bytetrack

大客車內輪差區域交通物件警報系統

實驗室產學合作案(義隆電子)

大型車在轉彎時，前後輪會造成巨大內輪差，而該區域亦為視野盲區，因此需要警報系統提醒駕駛者。透過大客車的前後輪距離計算內輪差區域，並透過加裝鏡頭結合物件偵測技術實現此系統。

技術：YOLOv7

Homielock智慧加裝裝置

宏謐科技有限公司(Homie)

本團隊開發一款HomiLock智慧加裝裝置，只需將本產品固定於RFID電子鎖的感應區，就能實現手機開鎖的功能。可應用於使用RFID電子鎖的旅宿業者，以最低的成本升級成智慧鎖，實現智慧旅宿的願景。

技術：物聯網、Raspberry Pi、Python、SolidWorks

以增強實例特徵學習實現高準確度多物件追蹤模型

碩士畢業論文

將物件偵測與追蹤兩階段模型改為一多任務模型，並加強實例特徵學習方法，採用soft label的label assignment策略，選取盡可能多的有效正樣本當作實例特徵。同時改良實例特徵訓練損失函數，確保樣本最大化被訓練。

技術：JDE、FairMOT、YOLOv7

結合邊緣計算及害蟲影像識別之智慧溫室監控系統

大學畢業專題

監控系統透過各式感測器測量溫室環境資訊，依據數據自動控制設備運作，也可由網頁與手機App觀察及控制溫室設備。害蟲影像辨識系統之硬體使用Raspberry pi4搭載Neural compute stick2。由於邊緣端硬體條件不佳，團隊使用OpenVINO將訓練完的辨識模型優化，加速邊緣端推論速度。

技術：物聯網、Tensorflow、OpenVINO

應用金融文章分析股市漲跌

課程專案

應用爬蟲工具(Beautifulsoup)抓取金融新聞，將繁體文章標題與內文透過語言轉換工具(opencc)轉為簡體，最終使用情感分析工具(snownlp)進行股市漲跌分析。

技術：NLP、Beautifulsoup、opencc、snownlp、Matplotlib

台灣景氣指標預測模型

side project

使用深度學習框架(Pytorch)自行搭建預測模型，以各式台灣景氣指標當作輸入，輸出未來經濟景氣趨勢階段。

技術：Pytorch、Pandas、Numpy、Sklearn

論文發表

• Chen, X. Z., Li, M. C., & Chen, Y. L. (2024, January). Strategies for Helping Anchor-Based Trackers Learn re-ID Features for Smart City Surveillance. In 2024 IEEE International Conference on Consumer Electronics (ICCE) (pp. 1-2). IEEE.

• Li, M. C., Chen, X. Z., & Chen, Y. L. (2023, July). Unified Object Detection Model for Image Style Convertible Modalities. In 2023 International Conference on Consumer Electronics-Taiwan (ICCE- Taiwan) (pp. 721-722). IEEE.

• Chen, X. Z., Peng, C., Li, M. C., & Chen, Y. L. (2022, April). Vehicle re-identification system for road side unit application. In International Workshop on Advanced Imaging Technology (IWAIT) 2022 (Vol. 12177, pp. 172-177). SPIE.

證書

Fundamentals of Deep Learning for Computer Vision - NVIDIA

物件偵測專題實作班 - 台灣人工智慧學校

學歷

國立臺北科技大學 碩士

資訊工程所  •  2021 - 2023 ・3.85/4 GPA

畢業論文：以增強實例特徵學習實現高準確度多物件追蹤模型

研究領域：物件偵測、多物件追蹤、物件重辨識。

東海大學 學士

資訊工程  •  2016 - 2020

畢業專題：結合邊緣計算及害蟲影像識別之智慧溫室監控系統 (畢業專題競賽第三名)。

課外經驗：

  • AIESEC國際經濟商管學生會 - Marketing Member (2016/09-2017/07)
  • 東海大學資訊工程學系學會 - 公關長 (2017/09-2018/07)
  • 東海大學國際處 - 國際志工 (2019/09-2020/07)
  • 東海大學資訊工程學系 - 畢業生致詞代表 (2020/07)

碩士課程

機器學習

從數學統計角度學習機器學習背後的運作原理。內容包含：supervised learning、decision tree、optimization、back propagation、loss value、model estimation、dimension reduction...等數學推導。

技術：機率統計、線性代數

高等電腦視覺

使用C/C++手刻及使用OpenCV套件對影像進行處理，內容包含：Mathematical morphology、Image stitching、Stereo Correspondence、以及3D Reconstruction(SLAM)...等技術實作。

技術：C/C++、OpenCV、電腦視覺、影像處理

嵌入式智慧影像分析與實境介面

透過軌道競速和自動避障兩個專案實作，實際打造自走車。從搜集自走車影像，到資料清理與擴增，並以此訓練各式深度學習模型，最終將模型輕量化後放置邊緣端的NVIDIA JetBot自走車上。

技術：Linux、影像處理、物件偵測(YOLOv4-tiny)、Reinforcement Learning (DQN)、模型輕量化(TensorRT)

樣式導向軟體設計

從Design Pattern的角度實際開發系統，透過開發過程更深瞭解物件導向以及Pattern的使用方式。

技術：C/C++、單元測試(GoogleTest)、Design Pattern、TDD、OOP

軟體工程

搭建專案管理系統，透過網頁來串接Github、Sonarqube、Jenkins，Trello等輔助專案開發工具，並以Plan-driven及敏捷開發(Scrum)的方式去完成此專案。過程中，也透過撰寫PEP及SRS專案開發文件演練軟體工程師的團隊開發過程。

技術：JAVA、Angular、Node.js、MySQL

電腦動畫

搭建網頁，並在網頁上呈現建模後的虛擬人物。

技術：HTML、CSS、JavaScript、Unity

技能

  • Machine Learning
  • Computer Vision
  • Pytorch/Tensorflow
  • OpenCV
  • C/C++ (OOP)
  • Linux

語言

  • Chinese — 母語或雙語
  • English — 進階