KUAN-WEI TSENG
ABOUT EDUCATION EXPERIENCE PUBLICATIONS PREPRINTS

KUAN-WEI TSENG

RA @ Tokyo Institute of Technology
Robotics Intern @ Apple

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ABOUT

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I am a second year M.S. student in the Deptartment of Computer Science at Tokyo Institute of Technology advised by Prof. Ikuro Sato and Prof. Rei Kawakami. Meanwhile, I am a robotics intern working on automation solutions in Apple Japan. In prior to my graduate study, I have been worked in the Image and Vision Lab (imLab) and AI Application and Integration Lab (AI^2 Lab) at the National Taiwan University (NTU) with Prof. Chu-Song Chen and Prof. Yi-Ping Hung as a research associate (assistant). I received my B.S. degree in Engineering from National Taiwan University, working with Prof. Yi-Ping Hung.
My research interests lies in the area of visual computing, focusing on 3D computer vision, deep learning, and interactive technologies.

EDUCATION

2022.04 - Current

Degree Program

Tokyo Institute of Technology (Tokyo Tech)

M.S., Department of Computer Science

2022 - Current

Advisor: Prof. Ikuro Sato, Rei Kawakami

2016 - 2020

Degree Program

National Taiwan University (NTU)

B.S. in Engineering, Department of Mechanical Engineering

2016 - 2020

  • Joined Image and Vision Lab (imLab), directed by Dr. Yi-Ping Hung at the Dept. of Computer Science as a research student since 2018. (See Research Experience)
  • Received multidisciplinary training in both software and hardware, conducted researchs on computer vision, robotics, and human computer interaction.

Research Advisor: Prof. Yi-Ping Hung.

Summer 2017

Exchange Student

University of Oxford

Advanced Humanity and English Language Programme

Summer 2017

  • Study abroad as an Exchange Student from National Taiwan University.
  • Comprehensive academic English program covering topics such as academic and creative writing, debating, British culture, job seeking skills, etc.

EXPERIENCE

2023.03 - Current

Robotics Intern

Apple Inc.

Field Design Engineering

Robotics Intern

2023 - Current

  • Working on robotics solution for product and services validation .

2022.10 - Current

Research Assistant

Tokyo Institute of Technology (Tokyo Tech)

Department of Computer Science

Research Assistant

2022 - Current

  • Working on human motion generation projects.

Advisor: Prof. Ikuro Sato, Prof. Rei Kawakami

2019.09 - 2022.10

Research Assistant

National Taiwan University (NTU)

Department of Computer Science & Information Engineering

Research Assistant

2019 - 2022

  • Developed learning-based methods for camera pose estimation, image depth estimation, video stabilization, view synthesis and style transfer.
  • Developed visual-inertial fusion methods for camera and object pose estimation. Quantified the influence of IMU noise parameters on localization performance.
  • Developed interactive systems with visual, auditory, olfactory, or haptic feedbacks for augemented reality and virtual reality applications.

See more in Publications and Projects.

Advisor: Prof. Chu-Song Chen, Prof. Yi-Ping Hung.

Spring 2021 & Spring 2022

Teaching Assistant

National Taiwan University (NTU)

Department of Computer Science & Information Engineering

Teaching Assistant

Spring 2022 & Spring 2023

  • [CSIE 5249] 3D Computer Vision with Deep Learning Applications
    Instructor: Prof. Chu-Song Chen
  • [CSIE 5079] Pattern Analysis and Classification
    Instructor: Prof. Yi-Ping Hung.
  • [CSIE 4004] Computer Science and Information Technology (II)
    Instructor: Prof. Chu-Song Chen

PUBLICATIONS

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VIUNet: Deep Visual–Inertial–UWB Fusion for Indoor UAV Localization
Peng-Yuan Kao, Hsui-Jui Chang, Kuan-Wei Tseng, Timothy Chen, He-Lin Luo, Yi-Ping Hung
IEEE ACCESS 2023
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Pseudo-3D Scene Modeling for Virtual Reality Using Stylized Novel View Synthesis
Kuan-Wei Tseng, Jing-Yuan Huang, Yang-Sheng Chen, Chu-Song Chen, Yi-Ping Hung
ACM SIGGRAPH 2022 Posters
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Artistic Style Novel View Synthesis Based on A Single Image
Kuan-Wei Tseng, Yao-Chih Lee, Chu-Song Chen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2022.
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3D Video Stabilization with Depth Estimation by CNN-based Optimization
Yao-Chih Lee, Kuan-Wei Tseng, Yu-Ta Chen, Chien-Cheng Chen, Chu-Song Chen, Yi-Ping Hung
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
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aBio: Active Bi-Olfactory Display Using Subwoofers for Virtual Reality
You-Yang Hu, Yao-Fu Jan, Kuan-Wei Tseng, You-Shin Tsai, Hung-Ming Sung, Jin-Yao Lin, Yi-Ping Hung
ACM International Conference on Multimedia (ACMMM), 2021.
ORAL PAPER, BEST STUDENT PAPER
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PixStabNet: Fast Multi-Scale Deep Online Video Stabilization with Pixel-Based Warping
Yu-Ta Chen, Kuan-Wei Tseng, Yao-Chih Lee, Chun-Yu Chen, Yi-Ping Hung
IEEE International Conference on Image Processing (ICIP), 2021.
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Augmented Tai-Chi Chuan Practice Tool with Pose Evaluation
Yao-Fu Jan, Kuan-Wei Tseng, Peng-Yuan Kao, Yi-Ping Hung
IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), 2021.
ORAL PAPER
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Camera Ego-Positioning Using Sensor Fusion and Complementary Method
Peng-Yuan Kao, Kuan-Wei Tseng, Tian-Yi Shen, Yan-Bin Song, Kuan-Wen Chen, Shih-Wei Hu, Sheng-Wen Shih, and Yi-Ping Hung
Pattern Recognition. ICPR International Workshops and Challenges, 2021.

PREPRINTS

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A Flexible-Frame-Rate Vision-Aided Inertial Object Tracking System for Mobile Devices

Object pose estimation and tracking is to find the relative 6DoF transformation, including translation and rotation, between the object and the camera. We present a visual-inertial fusion framework for object pose estimation and tracking which supports flexible framerate and is able to perform in real-time on mobile devices.

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Globally Consistent Video Depth and Pose Estimation with Efficient Test-Time Training

Dense depth and pose estimation is a vital prerequisite for various video applications. We present GCVD, a globally consistent method for learning-based video structure from motion (SfM) in this paper. It improves the robustness of learning-based methods with flow-guided keyframes and well-established depth prior.

Labor omnia vincit (Hard work conquers all. - Virgil)