Biography
I am a fourth-year Ph.D. student at Clemson University. My primary research interests are 3D self-supervised and semi-supervised learning, multi-modality learning, and the application of foundational models in 3D domains.
I am open to research internship at 2024 spring, summer, or fall.
Interests
- Self/semi-supervised learning
- Multi-modality learning
- 3D Detection/segmentation
- Foundation models
Education
PhD in Computer Vision, 2020-Present
Clemson University
MS in Electrical and Computer Engineering, 2018-2020
The Ohio State University
BSc in Automation, 2014-2018
Northeastern University, China
Recent Publications
(2023).
Zero-shot 3D Semantic Segmentation via Learning from Zero-shot Labels.
In Submission.
(2023).
Point Cloud Self-supervised Learning via 3D to Multi-view Masked Autoencoder.
In Submission.
(2023).
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models.
In NeurIPS, 2023.
(2022).
Class-Level Confidence Based 3D Semi-Supervised Learning.
In WACV, 2023.
(2021).
Multimodal Semi-Supervised Learning for 3D Objects.
In BMVC, 2021.
Experience
Research Assistant
- Self/Semi-supervised learning
- 3D classification/detection/segmentation
Contact
- zhiminc@clemson.edu
- 4 Research Drive, Greenville, SC 29607