Name: Yujin Chen
Position: Ph.D Candidate
E-Mail: terencecyj@gmail.com
Phone: TBD
Room No: TBD

Bio

Yujin Chen is a Ph.D. student at the Visual Computing Lab advised by Prof. Matthias Nießner. His research focuses on understanding dynamic 3D environments. He received his B.Eng and M.Sc in Geo-Information at Wuhan University. Homepage

Research Interest

3D Reconstruction, Semantic Understanding, Motion Analysis, Representation Learning

Publications

Preprints

4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding
Yujin Chen, Matthias Nießner, Angela Dai
arXiv
We present a new approach to instill 4D dynamic object priors into learned 3D representations by unsupervised pre-training. We propose a new data augmentation scheme leveraging synthetic 3D shapes moving in static 3D environments, and employ contrastive learning under 3D-4D constraints that encode 4D invariances into the learned 3D representations. Experiments demonstrate that our unsupervised representation learning results in improvement in downstream 3D semantic segmentation, object detection, and instance segmentation tasks.
[video][bibtex][project page]