馮 起

研究方向

我的研究方向主要是通過基於深度學習的方法解決不同的計算機圖形和計算機視覺問題。 除此之外，我也熱衷於活用CG/CV的方法來解決一些當前虛擬現實(VR)和增強現實(AR)應用中存在的一系列實際問題。

教育經歷

• 2019年9月 - 2022年9月

  工程博士學位 - Ph.D.
  早稻田大學

• 2017年9月 - 2019年9月

  工程碩士學位 - M.E.
  早稻田大學

• 2013年9月 - 2017年9月

  工學學士學位 - B.E.
  早稻田大學

• 2010年9月 - 2013年9月

  高中畢業
  復旦大學附屬中學

工作經歷

• 助理教授

  2021年4月 - 至今
  早稻田大學

• 研究交換

  2019年10月 - 2020年3月
  諾桑比亞大學

• 研究實習

  2019年7月 - 2019年9月
  日本產業技術綜合研究所 (AIST)

• 研究實習

  2015年7月 - 2015年9月
  復旦大學

技能一覽

語言

中文 - 母語水平      英語 - 熟練掌握 (GRE得分325)
日語 - 熟練掌握 (JLPT N1)      法語 - 簡單對話 (CEFR A2)

編程語言

熟練使用: Python, HTML/CSS, SQL      較為熟悉: C++, C#, Java, Javascript

庫/架構/平台

PyTorch, Torchvision, Tensorflow, OpenCV      Git, SharePoint      WordPress, Unity3D, Arduino

深度學習相關技能

對象分類, 圖像語義分割, 深度預測, 場景重建, 動作預測, 畫風轉換, 合成訓練集

其他

Microsoft Office 365 (Access, SharePoint), Adobe Creative Cloud (Lightroom Classic, Photoshop, Illustrator, After Effects, Premiere Pro, Audition, InDesign), Ableton, Vocaloid, Blender

論文成果

國際會議

Nishizawa, T., Tanaka, K., Hirata, A., Yamaguchi, S., Feng, Q. , Hamanaka, M., & Morishima, S. (2025). SyncViolinist: Music-Oriented Violin Motion Generation Based on Bowing and Fingering. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision.

Higasa, T., Tanaka, K., Feng, Q. , & Morishima, S. (2024). Keep Eyes on the Sentence: An Interactive Sentence Simplification System for English Learners Based on Eye Tracking and Large Language Models. CHI EA '24: Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems.

Feng, Q. , & Morishima, S. (2024). Projection-Based Monocular Depth Prediction for 360 Images with Scale Awareness. Visual Computing Symposium 2024.

Inoue, R., Feng, Q., & Morishima, S. (2024). Non-Dominant Hand Skill Acquisition with Inverted Visual Feedback in a Mixed Reality Environment. Visual Computing Symposium 2024.

Feng, Q. , Shum, H. P., & Morishima, S. (2023). Enhancing perception and immersion in pre-captured environments through learning-based eye height adaptation. 2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR).

Feng, Q. , Shum, H. P., & Morishima, S. (2023). Learning Omnidirectional Depth Estimation from Internet Videos. In Proceedings of the 26th Meeting on Image Recognition and Understanding.

Higasa, T., Tanaka, K., Feng, Q., & Morishima, S. (2023). Gaze-Driven Sentence Simplification for Language Learners: Enhancing Comprehension and Readability. The 25th International Conference on Multimodal Interaction (ICMI).

Kashiwagi, S., Tanaka, K., Feng, Q., & Morishima, S. (2023). Improving the Gap in Visual Speech Recognition Between Normal and Silent Speech Based on Metric Learning. INTERSPEECH 2023.

Oshima, R., Shinagawa, S., Tsunashima, H., Feng, Q., & Morishima, S. (2023). Pointing out Human Answer Mistakes in a Goal-Oriented Visual Dialogue. ICCV '23 Workshop and Challenge on Vision and Language Algorithmic Reasoning (ICCVW).

Feng, Q. , Shum, H. P., & Morishima, S. (2022). 360 Depth Estimation in the Wild-The Depth360 Dataset and the SegFuse Network. In 2022 IEEE conference on virtual reality and 3D user interfaces (VR). IEEE.

Feng, Q. , Shum, H. P., & Morishima, S. (2021). Bi-projection-based Foreground-aware Omnidirectional Depth Prediction. Visual Computing Symposium 2021.

Feng, Q. , Shum, H. P., Shimamura, R., & Morishima, S. (2020). Foreground-aware Dense Depth Estimation for 360 Images. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2020.

Shimamura, R., Feng, Q., Koyama, Y., Nakatsuka, T., Fukayama, S., Hamasaki, M., ... & Morishima, S. (2020). Audio–visual object removal in 360-degree videos. Computer Graphics International 2020.

Feng, Q. , Shum, H. P., & Morishima, S. (2018, November). Resolving occlusion for 3D object manipulation with hands in mixed reality. In Proceedings of the 24th ACM Symposium on Virtual Reality Software and Technology.

Feng, Q. , Nozawa, T., Shum, H. P., & Morishima, S. (2018, August). Occlusion for 3D Object Manipulation with Hands in Augmented Reality. In Proceedings of The 21st Meeting on Image Recognition and Understanding.

雜誌期刊

Nozawa, N., Shum, H. P., Feng, Q., Ho, E. S., & Morishima, S. (2021). 3D car shape reconstruction from a contour sketch using GAN and lazy learning. The Visual Computer, 1-14.

Feng, Q. , Shum, H. P., & Morishima, S. (2020). Resolving hand‐object occlusion for mixed reality with joint deep learning and model optimization. Computer Animation and Virtual Worlds, 31(4-5), e1956.

Feng, Q. , Shum, H. P., Shimamura, R., & Morishima, S. (2020). Foreground-aware Dense Depth Estimation for 360 Images., Journal of WSCG, 28(1-2), 79-88.

Shimamura, R., Feng, Q., Koyama, Y., Nakatsuka, T., Fukayama, S., Hamasaki, M., ... & Morishima, S. (2020). Audio–visual object removal in 360-degree videos. The Visual Computer, 36(10), 2117-2128.