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David Chuan-En Lin

chuanenl [at] cs.cmu.edu
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Hi there 👋. I am currently a fourth-year Computer Science Ph.D. student at Carnegie Mellon University. I work with Professor Nik Martelaro in the Augmented Design Capability Studio. I did internships at Adobe Research and Runway. My research is also supported by Toyota Research Institute and Accenture Labs.

Research Interest

My main research interest focuses on steering tools for generative AI design. To explore this space, I have developed a sketching interface (Inkspire), a puzzle-like interface (Jigsaw), and a latent space map interface (VideoMap).

Another thread of my research is on AI-assisted video creation tools, including tools for matching sounds to visuals (Soundify), detecting highlight moments (Videogenic), and organizing video assets (VideoMap).

Papers

CHI 2024

Jigsaw: Supporting Designers to Prototype Multimodal Applications by Assembling AI Foundation Models

David Chuan-En Lin, Nikolas Martelaro

Jigsaw

We developed a tool for combining AI models across different capabilities and modalities by assembling them like puzzle pieces.

C&C 2024

VideoMap: Supporting Video Editing Exploration, Brainstorming, and Prototyping in the Latent Space

David Chuan-En Lin, Fabian Caba Heilbron, Joon-Young Lee, Oliver Wang, Nikolas Martelaro

VideoMap

We developed a proof-of-concept video editing interface that operates on video frames projected onto a latent space.

C&C 2024

Videogenic: Identifying Highlight Moments in Videos with Professional Photographs as a Prior

David Chuan-En Lin, Fabian Caba Heilbron, Joon-Young Lee, Oliver Wang, Nikolas Martelaro

Videogenic

We developed a system for detecting highlight moments by leveraging photographs taken by photographers.

UIST 2023

Soundify: Matching Sound Effects to Video

David Chuan-En Lin, Anastasis Germanidis, Cristóbal Valenzuela, Yining Shi, Nikolas Martelaro

Soundify

We developed a system to assist video editors in adding content-aware spatial sound effects to video.

DIS 2021

Learning Personal Style from Few Examples

David Chuan-En Lin, Nikolas Martelaro

PseudoClient

We developed a model for learning personal graphic design style from a handful of examples.

CHI 2020

ARchitect: Building Interactive Virtual Experiences from Physical Affordances by Bringing Human-in-the-Loop

Chuan-En Lin*, Ta Ying Cheng*, Xiaojuan Ma(*=equal contribution)

ARchitect

We explored an asymmetric workflow of an AR builder and a VR player for creating VR experiences that incorporate real-world interaction affordances.

EuroVis 2020

SeqDynamics: Visual Analytics for Evaluating Online Problem-solving Dynamics

Meng Xia, Min Xu, Chuan-En Lin, Ta Ying Cheng, Huamin Qu, Xiaojuan Ma

SeqDynamics

We developed an interactive visual analytics system for instructors to evaluate problem-solving dynamics of student learners.

CVPR 2019

Learning to Film from Professional Human Motion Videos

Chong Huang, Chuan-En Lin, Zhenyu Yang, Yan Kong, Peng Chen, Xin Yang, Kwang-Ting Cheng

Learning Drone

We developed an drone cinematography system by learning from cinematic drone videos captured by professionals.

Service

Conference reviewer

  • ACM Conference on Human Factors in Computing Systems: 2023, 2024

Other Projects

Me and Guillermo Rauch on stage for Vercel Ship, answering questions from the Next.js community
Me standing on stage at SmashingConf giving a talk about my optimism for the web
Me speaking on stage at React Summit about the future of Next.js
Me speaking on stage at React Summit about the future of Next.js
Me standing on stage at SmashingConf giving a talk about my optimism for the web
Me speaking on stage at React Summit about the future of Next.js
Me and Guillermo Rauch on stage for Vercel Ship, answering questions from the Next.js community
Me speaking on stage at React Summit about the future of Next.js
Me and Guillermo Rauch on stage for Vercel Ship, answering questions from the Next.js community

Last updated on Apr 2024.