KUAN-WEI TSENG

KUAN-WEI TSENG

Software Engineer

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ABOUT

Kuan-Wei Tseng

I am an Application Software Engineer at Applied Intuition, where I build customer-facing features and workflows for simulation and data tooling in automotive programs.

Previously, I was a Computer Vision Engineer at Mujin, Inc., focusing on 3D object detection. I received my M.S. from Tokyo Institute of Technology, advised by Prof. Ikuro Sato, and collaborated with Prof. Rei Kawakami and Prof. Satoshi Ikehata on human motion prediction with transformers. During graduate school, I also interned at Apple Japan and Denso IT Lab.

Before graduate school, I worked at NTU in the Image and Vision Lab (imLab) and AI Application and Integration Lab (AI^2 Lab) with Prof. Chu-Song Chen and Prof. Yi-Ping Hung. I also completed my B.S. in Engineering at NTU under Prof. Yi-Ping Hung. My interests are in visual computing, especially 3D computer vision, deep learning, and interactive systems.

EXPERIENCE

2024.10 - Current

Applied Intuition

Application Software Engineer

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  • Developed customer-facing interfaces for global OEM and Tier 1 automotive programs.
  • Implemented customer-specific features on Applied Intuition’s simulation and data tooling products.
  • Delivered technical training and onboarding sessions for customer engineering teams.

Selected customer projects:

2024.04 - 2024.09

Mujin Inc.

Computer Vision Engineer

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  • Designed features to improve speed and recall for multi-class 3D object detection by leveraging hand-crafted geometric rules for plastic containers; demonstrated results at Logis-Tech Tokyo 2024.
  • Applied unsupervised machine learning for color classification on reflective surfaces under both low-light and bright conditions; demonstrated results at Robot Technology Japan 2024.

2023.03 - 2023.09

Apple Inc.

Robotics Intern

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  • Working on robotics solution (localization and mapping, point cloud segmentation) for product and services validation.

2022.11 - 2023.02

Denso IT Laboratory

Research Intern

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  • Developed interactive object segmentation using transformer-based model for fast data annotation.

Mentor: Dr. Teppei Suzuki.

2022 - 2024

Tokyo Institute of Technology (Tokyo Tech)

Research Assistant

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  • Working on human motion generation projects.

Advisor: Prof. Ikuro Sato, Prof. Rei Kawakami

2019.09 - 2022.10

National Taiwan University (NTU)

Research Assistant

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  • 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

National Taiwan University (NTU)

Teaching Assistant

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  • [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

EDUCATION

2016 - 2020

National Taiwan University (NTU)

B.S. in Engineering, Department of Mechanical Engineering (Degree Program)

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  • 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

University of Oxford

Advanced Humanity and English Language Programme (Exchange Student)

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  • 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.

PUBLICATIONS

PixStabNet: Fast Multi-Scale Deep Online Video Stabilization with Pixel-Based Warping preview

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.

  Paper   Publication Video (unavailable)
Augmented Tai-Chi Chuan Practice Tool with Pose Evaluation preview

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

  Paper   Publication Video (unavailable)

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.

  arXiv