Hello 👋, I'm Gabriel (Jiahui) Huang

I work at Adobe Research on topics related to video processing and editing.

Previously, I’ve studied at UBC with Leonid Sigal, and SUTD with Gemma Roig.

If you are interested in doing an internship at Adobe Research for summer 2025, please reach out via email.

News

Jul 2024: FlowTrack accepted to CVPR 2024, and LocoTrack accepted to ECCV 2024.
Oct 2023: Presented project “Fast Fill” at Adobe Max Sneaks 2023.
Jan 2023: I joined Adobe Research as a research scientist/engineer.
Oct 2022: Internship project “Instant Add” show-cased at Adobe Max Sneaks 2022.
Jul 2022: Layered Controllable Video Generation has been accepted to ECCV 2022 as an oral presentation.

Publications

LocoTrack: Local All-Pair Correspondence for Point Tracking

LocoTrack: Local All-Pair Correspondence for Point Tracking

Seoku Cho, Jiahui Huang, Jisu Nam, Honggyu An, Seungryong Kim, Joon Young Lee

ECCV, 2024

A highly accurate and efficient model for point tracking.

Project Page Paper Code

FlowTrack: Revisiting Optical Flow for Long-Range Dense Tracking

FlowTrack: Revisiting Optical Flow for Long-Range Dense Tracking

Seoku Cho, Jiahui Huang, Seungryong Kim, Joon Young Lee

CVPR, 2024

Dense point tracking on long-range videos.

Paper

INVE: Interactive Neural Video Editing

INVE: Interactive Neural Video Editing

Jiahui Huang, Leonid Sigal, Kwang Moo Yi, Oliver Wang, Joon Young Lee

CGI, 2023

A real-time video editing pipeline via edits propagation.

Project Page Paper

Layered Controllable Video Generation

Layered Controllable Video Generation

Jiahui Huang, Yuhe Jin, Kwang Moo Yi, Leonid Sigal

ECCV, 2022 Oral

Using masks to control the generation of videos.

Project Page Paper Code

Single Image Video Prediction with Auto-Regressive GANs

Single Image Video Prediction with Auto-Regressive GANs

Jiahui Huang, Yew Ken Chia, Samson Yu, Kevin Yee, Dennis Küster, Eva G Krumhuber, Dorien Herremans, Gemma Roig

Sensors, Volume 22

Animating facial expressions using GANs in an auto-regressive fashion.

Duality diagram similarity: a generic framework for initialization selection in task transfer learning

Duality diagram similarity: a generic framework for initialization selection in task transfer learning

Kshitij Dwivedi, Jiahui Huang, Gemma Roig

ECCV, 2020

A metric that measures the similarity between neural networks.

Deep Anchored Convolutional Neural Networks

Deep Anchored Convolutional Neural Networks

Jiahui Huang, Kshitij Dwivedi, Gemma Roig

CVPR Workshops, 2019 Oral

A highly efficitn neural network architecture that reuses weights from different layres.