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About me

I am interested in artificial intelligence and mainly work on computer vision. I believe in AGIs and their ability to transform the human civilization – such should be our ultimate goal.

Name

“Ho Kei” (with the space) is my first name and “Cheng” is my last name. “Rex” is the commonly used “english name” that is not part of my legal name.

News:

  • (Sep 2021) STCN is accepted to NeurIPS 2021.
  • (July 2021) I am awarded the Chiang Chen Overseas Fellowship (USD 50,000). Thanks!
  • (May 2021) In the YouTubeVOS 2021 challenge, STCN achieved 1st place accuracy in novel (unknown) classes and 2nd place in overall accuracy. Our solution is also fast and light.
  • (March 2021) MiVOS is accepted to CVPR 2021.
  • (March 2020) CascadePSP is accepted to CVPR 2020.











misc

Warcraft III Map Making

I got my first taste of programming in secondary school, making maps (similar to mods) for a game Warcraft III. It started as an anti-cheat patch for an existing map (兵戰), and I later started adding new features. At some point, I completely reprogrammed the entire map. The tradeoff between game balancing and fun was the most daunting task.

18 versions were released from 2011 to 2016.

war3


Cats @ HKUST

drawing drawing drawing
drawing drawing drawing
drawing drawing drawing


Robotics Team

I joined the HKUST Robotics Team in UG year 1. We missed champion in Hong Kong Robocon 2016 with the lack of experience and struck back to win champion in 2017. We represented Hong Kong in the International Robocon 2017 competition in Tokyo and took home the Best Design Award.

I developed various low-level libraries (communication protocol, PID, peripheral sensors) and high-level functionalities (path planning, state machines), and picked up cruical engineering/problem solving skills in this journey.

I was the chairperson for the 8th Robot Design Contest in HKUST for new member recruitment. Grateful to this amazing team and all the enthusiastic teammates!

Credit: Radio Television Hong Kong (RTHK).


publications

CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement

CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement

Ho Kei Cheng*, Jihoon Chung*, Yu-Wing Tai, Chi-Keung Tang. Published in CVPR, 2020.

[Project Page] [Code & Data] [arXiv] [PDF]

Refines segmentations (up to 4K and beyond) in a class-agnostic manner without using any high-resolution training data through a set of carefully designed cascade operations.


Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion

Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion

Ho Kei Cheng, Yu-Wing Tai, Chi-Keung Tang. Published in CVPR, 2021.

[Project Page] [Code & Data] [arXiv] [PDF]

A more user-friendly and efficient paradigm of iVOS in which interactions and propagations are decoupled, with the user’s intention captured by a novel difference-aware fusion module.


Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation

Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation

Ho Kei Cheng, Yu-Wing Tai, Chi-Keung Tang. Published in NeurIPS, 2021.

[Project Page] [Code & Data] [arXiv] [PDF]

Rethinks Space-Time Networks to build image correspondences and uses L2 similarity to encourage diversified voting -- simpler, better, and more efficient.