冯 起

研究方向

我的研究方向主要是通过基于深度学习的方法解决不同的计算机图形和计算机视觉问题。 除此之外，我也热衷于活用CG/CV的方法来解决一些当前虚拟现实(VR)和增强现实(AR)应用中存在的一系列实际问题。

教育经历

• 2019年9月 - 2022年9月

  工程博士学位 - Ph.D.
  早稻田大学

• 2017年9月 - 2019年9月

  工程硕士学位 - M.E.
  早稻田大学

• 2013年9月 - 2017年9月

  工学学士学位 - B.E.
  早稻田大学

• 2010年9月 - 2013年9月

  高中毕业
  复旦大学附属中学

工作经历

• 助理教授

  2021年4月 - 至今
  早稻田大学

• 研究交换

  2019年10月 - 2020年3月
  诺桑比亚大学

• 研究实习

  2019年7月 - 2019年9月
  日本产业技术综合研究所 (AIST)

• 研究实习

  2015年7月 - 2015年9月
  复旦大学

技能一览

语言

中文 - 母语水平      英语 - 熟练掌握 (GRE得分325)
日语 - 熟练掌握 (JLPT N1)      法语 - 简单对话 (CEFR A2)

编程语言

熟练使用: Python, HTML/CSS, SQL      较为熟悉: C++, C#, Java, Javascript

库/架构/平台

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

深度学习相关技能

对象分类, 图像语义分割, 深度预测, 场景重建, 动作预测, 画风转换, 合成训练集

其他

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

论文成果

杂志期刊

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.

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.

国际会议

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., 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.