Ziyi Zhou

Ziyi Zhou

Research Engineer

Samsung Research America (SRA)

Hi! I am a Research Engineer at Samsung Research America (SRA), Digital Media Solutions Lab, where I apply my extensive knowledge and skills in advanced Computer Vision projects. Prior to joining SRA, I completed my Master of Science in Computer Vision (MSCV) at Carnegie Mellon University (CMU). My time at CMU was marked by a deep dive into Computer Vision and Machine Learning. My experience also includes a summer internship as a research scientist at Flawless AI. There, I conducted a research project focused on multi-dataset semantic segmentation, which further enhanced my expertise in Computer Vision.

I obtained my HBSc from the University of Toronto, where I received an interdisciplinary education in the Computer Science and Neuroscience programs. During my undergraduate years, I had the opportunity to be a research student at Vector Institute, under the guidance of Prof. Animesh Garg and Prof. Igor Gilitschenski, focusing on ‘Language-Guided Cognitive Planning with Video Prediction.’ I also had a one-year internship at Huawei Ottawa R&D Center as a Research Engineer, working on Machine Learning applications on wireless communication.

My interests span 3D Vision, Continual Learning, multimodal foundation models, and Cognitive Neuroscience.

Interests
  • 3D Vision
  • Continual Learning
  • Multimodal
Education
  • Master of Science in Computer Vision

    Carnegie Mellon University

  • Honors Bachelor of Science, 2022

    University of Toronto

Research

Language-Guided Cognitive Planning with Video Prediction
Video Prediction, Concept Grouding, Planning

Internship

Research Scientist Intern

Flawless AI
May 2023 - Aug 2023 | Los Angeles

Researched on multi-dataset fine-grained semantic segmentation.

Research Engineer Intern

Huawei Technologies Canada Co. Ltd.
Ottawa Research & Development Centre
May 2020 - May 2021 | Ottawa, CA

Independently completed 3 research projects that explored the development of wireless communication from 5G to 6G by applying Machine Learning techniques.

Selected Projects

Multi-view robot perception on edge devices
MS in Computer Vision (MSCV) project
Artistic Radiance Fields for Architectural Style Transfer
NeRF-based 3D representations, Style Transfer, CLIP
Region Decomposition of Face Expressions
3D Face Reconstructions, Computer Graphics, Math Fundamentals for Robotics

Skills

Programming:

Python, Java, C, C++, R, Verilog, x86-64 Assembly, TensorFlow, PyTorch;

Tools and Technologies:

Android Studio, OS, Linux, OpenCV, Isaac Sim, OpenAI Gym

Languages:

Chinese (native), English (proficient), Portuguese (elementary)

Other strengths:

Biology, Genetics, Physiology, Cognitive Psychology, Neuroscience;

Linear Algebra, Multivariable Calculus, Probability Theory and Statistics