| CARVIEW |
Select Language
HTTP/2 200
server: GitHub.com
content-type: text/html; charset=utf-8
last-modified: Wed, 12 Feb 2025 04:25:26 GMT
access-control-allow-origin: *
strict-transport-security: max-age=31556952
etag: W/"67ac22b6-7b4c"
expires: Tue, 30 Dec 2025 05:01:32 GMT
cache-control: max-age=600
content-encoding: gzip
x-proxy-cache: MISS
x-github-request-id: 494A:2C10E1:9A1E7B:AD1C96:69535A53
accept-ranges: bytes
age: 0
date: Tue, 30 Dec 2025 04:51:32 GMT
via: 1.1 varnish
x-served-by: cache-bom-vanm7210034-BOM
x-cache: MISS
x-cache-hits: 0
x-timer: S1767070292.325825,VS0,VE217
vary: Accept-Encoding
x-fastly-request-id: 056b10b2f4368bbc64f2411fc3cc601fff49a225
content-length: 6624
KUAN-WEI TSENG
ACM International Conference on Multimedia (ACMMM), 2021.
IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), 2021.
ABOUT
I am currently an Application Software Engineer at Applied Intuition. Previously, I worked at Mujin, Inc. as a Computer Vision Engineer, specializing in 3D object detection using machine learning. I earned my M.S. degree from the Tokyo Institute of Technology, where I was advised by Prof. Ikuro Sato. I had the privilege of collaborating with Prof. Rei Kawakami and Prof. Satoshi Ikehata on human motion prediction using transformer models. During my graduate studies, I interned at Apple Japan, developing automation tools, and at Denso IT Lab, focusing on interactive object segmentation.
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 - 2024.03
Degree Program
Tokyo Institute of Technology (Tokyo Tech)
M.S., Department of Computer Science
2022 - 2024
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 - 2023.09
Robotics Intern
Apple Inc.
Field Design Engineering
Robotics Intern
2023
- Working on robotics solution (localization and mapping, point cloud segmentation) for product and services validation.
2022.11 - 2023.02
Research Intern
Denso IT Laboratory
R&D Group
Research Intern
2022.11 - 2023.02
- Developed interactive object segmentation using transformer-based model for fast data annotation.
Mentor: Dr. Teppei Suzuki.
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
Real-Time Object Pose Tracking System with Low Computational Cost for Mobile Devices
Yo-Chung Lau, Kuan-Wei Tseng, Peng-Yuan Kao, I-Ju Hsieh, Hsiao-Ching Tseng, and Yi-Ping Hung
IEEE Journal of Indoor and Seamless Positioning and Navigation, 2023.
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
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
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.
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.
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
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.
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
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
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.