Ruozhen (Catherine) He

Ruozhen (Catherine) He

Rice University

I am a first-year computer science PhD student at Vislang Lab in Rice University, advised by Prof. Vicente Ordóñez. Prior to this, I obtained a BSc degree (First Class Honours) from City University of Hong Kong, where I had the privilege of working with Prof. Rynson W.H. Lau and Prof. Antoni B. Chan.

My primary research interests lie in computer vision, with a focus on efficient algorithms under less or multimodal supervision. I am particularly interested in leveraging knowledge from neuroscience and cognitive psychology to develop concise, efficient, and interpretable algorithms achieving human-level intelligence in versatile tasks.

As a PhD student, I am always excited to collaborate with other researchers and explore new fields. Do not hesitate to reach out if you are interested!

News

  • [02/2024] Our paper “Improved Visual Grounding through Self-Consistent Explanations” is accepted to CVPR 2024.
  • [02/2024] I will serve as a reviewer for ECCV 2024.
  • [12/2023] I will serve as a reviewer for ICML 2024.
  • [10/2023] I will serve as a reviewer for CVPR 2024.
  • [08/2023] I will serve as a reviewer for ICLR 2024.
  • [08/2023] I started my PhD study at VisLang Lab, Rice University.
  • [08/2023] I won the first runner-up prize in the IEEE (Hong Kong) Computational Intelligence Chapter Final Year Project Competition 2022-2023.
  • [06/2023] I graduated from City University of Hong Kong with First Class Honours.
  • [04/2023] I will serve as a reviewer for NeurIPS 2023.

Education

  • 2023 - Present, PhD in Computer Science, Rice University.
  • 2019 - 2023, BSc in Computer Science (First Class Honours), City University of Hong Kong.

Preprints

SynGround teaser

Learning from Models and Data for Visual Grounding [Paper] [Project Page]
Ruozhen He, Paola Cascante-Bonilla, Ziyan Yang, Alexander C. Berg, Vicente Ordóñez
March, 2024.

Publications

CVPR 2024 Paper Improved Visual Grounding through Self-Consistent Explanations

Improved Visual Grounding through Self-Consistent Explanations [Paper] [Code] [Project Page]
Ruozhen He, Paola Cascante-Bonilla, Ziyan Yang, Alexander C. Berg, Vicente Ordóñez
The IEEE/CVF Conference on Computer Vision and Pattern Recognition. CVPR 2024.

AAAI-23 Paper Weakly-Supervised Camouflaged Object Detection with Scribble Annotations

Weakly-Supervised Camouflaged Object Detection with Scribble Annotations [Paper] [Code] [Dataset]
Ruozhen He*, Qihua Dong*, Jiaying Lin, Rynson W.H. Lau (*Joint First Authors)
Proceedings of the AAAI Conference on Artificial Intelligence. AAAI-23. (~Oral Presentation)

AAAI-23 Paper Efficient Mirror Detection via Multi-level Heterogeneous Learning

Efficient Mirror Detection via Multi-level Heterogeneous Learning [Paper] [Code]
Ruozhen He, Jiaying Lin, Rynson W.H. Lau
Proceedings of the AAAI Conference on Artificial Intelligence. AAAI-23. (~Oral Presentation)

Service

  • ECCV 2024, Reviewer
  • ICML 2024, Reviewer
  • CVPR 2024, Reviewer
  • ICLR 2024, Reviewer
  • NeurIPS 2023, Reviewer